text:
# (Some) Presentations featuring DART: The Data Assimilation Research Testbed

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## 2020
----

![](http://www.image.ucar.edu/images/pin4.gif) **Brett Raczka** Aug 2020 :
    Presented at the
    [2020 ESA Annual Meeting](https://eco.confex.com/eco/2020/meetingapp.cgi/Home/0)
    held virtually.

    Towards a complex terrain Carbon Monitoring System (CMS-Mountains): Development and testing in the western U.S.
    [\[abstract\]](https://eco.confex.com/eco/2020/meetingapp.cgi/Paper/87176)
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2020/Raczka_ESAposter_2020.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2020 :
    Presented at the
    [Earth System Prediction Working Group](http://www.cesm.ucar.edu/events/workshops/2020/#presentations-espwg) session of the
    [2020 CESM Workshop](http://www.cesm.ucar.edu/events/workshops/2020/) in
    in Boulder, CO, USA

    A New CAM6+DART 80-Member Ensemble Reanalysis for 2011-2019:
    Initial Conditions for CAM, CLM and CICE Forecasts and Forcing for POP, CLM and CICE
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2020/espwg_CAM6_reanalysis.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2020 :
    Presented at the
    [AMS Centennial Meeting 2020](https://annual.ametsoc.org/2020/) in Boston, MA, USA

    Nonlinear, Non-Gaussian Extensions for Ensemble Filter Data Assimilation.
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2020/2020_AMS_JLA_nonlinear_da.pptx)
    [\[pdf\]]( http://www.image.ucar.edu/pub/DART/2020/2020_AMS_JLA_nonlinear_da.pdf)

    Results from an Ensemble Reanalysis with the Community Earth System Model 2.1.
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2020/2020_AMS_JLA_CESM_rean_final.pptx)
    [\[pdf\]]( http://www.image.ucar.edu/pub/DART/2020/2020_AMS_JLA_CESM_rean_final.pdf)

    The Data Assimilation Research Testbed: Nonlinear Algorithms and Novel Applications
    for Community Ensemble Data Assimilation
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2020/2019_AGU_2020_AMS_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Moha El Gharamti** Jan 2020 :
    Presented at the
    [AMS Centennial Meeting 2020](https://annual.ametsoc.org/2020/) in Boston, MA, USA

    A new adaptive hybrid ensemble Kalman filter and optimal interpolation.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2020/2020_AMS_MEG_hybrid_oi.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jan 2020 :
    Presented at the
    [AMS Centennial Meeting 2020](https://annual.ametsoc.org/2020/) in Boston, MA, USA

    Hydro-DART: Ensemble Streamflow Assimilation with WRF-Hydro and the Data Assimilation Research Testbed.
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2020/2020_AMS_TJH_wrfhydro.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2020/2020_AMS_TJH_wrfhydro.pdf)

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## 2019
----

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Dec 2019 :
    Presented at the
    [AGU Fall Meeting 2019](http://fallmeeting.agu.org/2019/) in San Francisco, CA, USA

    Nonlinear, Non-Gaussian Extensions for Ensemble Filter Data Assimilation
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2019/2019_AGU_JLA_nonlinear_da.pptx)
    [\[pdf\]]( http://www.image.ucar.edu/pub/DART/2019/2019_AGU_JLA_nonlinear_da.pdf)

    Results from an Ensemble Reanalysis with the Community Earth System Model 2.1
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2019/2019_AGU_JLA_CESM_rean_final.pptx)
    [\[pdf\]]( http://www.image.ucar.edu/pub/DART/2019/2019_AGU_JLA_CESM_rean_final.pdf)

    The Data Assimilation Research Testbed: Nonlinear Algorithms and Novel Applications
    for Community Ensemble Data Assimilation
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2019/2019_AGU_2020_AMS_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Nov 2019 :
    Presented at the CISL Seminar Series in Boulder, CO, USA

    CISL's Data Assimilation Research Section: Accelerating NCAR Science with Ensemble Data Assimilation
    [\[youtube\]](https://www.youtube.com/watch?v=rxPGKFxJAkE)
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2019/2019_CISL_JLA_seminar.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2019/2019_CISL_JLA_seminar.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2019 :
    Presented at the
    [AMS Annual Meeting 2019](https://annual.ametsoc.org/2019/) in Phoenix, AZ, USA

    Nonlinear, Nongaussian Ensemble Data Assimilation with Rank
    Regression and a Rank Histogram Filter
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2019/2019_AMS_nonlinear_JLA.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2019/2019_AMS_nonlinear_JLA.pdf)

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## 2018
----

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Dec 2018 :
    Presented at the
    [AGU Fall Meeting 2018](http://fallmeeting.agu.org/2018/) in Washington DC, USA

    Hydro-DART: Ensemble Streamflow Assimilations with WRF-Hydro and the
    Data Assimilation Research Testbed.
    [\[talk - pdf\]](http://www.image.ucar.edu/pub/DART/2018/2018_AGU_H23A_08_HydroDART_TJH.pdf)

    The Data Assimilation Research Testbed (DART): Ensemble Data
    Assimilation for NCAR Community Earth System Models
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2018/20189_AGUAMS_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** May 2018 :
    Presented at the
    [Workshop: Atmosphere, Oceans, and Computational
    Infrastructure](http://workshop.caltech.edu/fesm/aoc_infrastructure/index.html)
    at JPL/Caltech, California

    DA and Short-term Prediction Motivate the Need for Careful Software
    Development In Earth System Models: A Case Study
    [\[pptx\]](anderson_da_model_devel.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2018/2018_Caltech_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Apr 2018 :
    Presented at the [Terrestrial Systems Research: Monitoring,
    Prediction and High Performance
    Computing](http://conference.tr32.de/) in Bonn Germany

    Ensemble Data Assimilation with the Community Land Model and the US
    National Water Model
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2018/2018_CLM_HydroDART_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Mar 2018 :
    Presented at the [6th International Symposium on Data
    Assimilation](https://isda2018.wavestoweather.de/) in Munich,
    Germany

    Exploiting Nonlinear Relations between Observations and State
    Variables in Ensemble Filters
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2018/ISDA_2018_nonlinear_talk_JLA.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2018/ISDA_2018_nonlinear_talk_JLA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2018 :
    Presented at the [AMS Annual Meeting
    2018](https://annual.ametsoc.org/2018/) in Austin, TX, USA

    Exploiting Nonlinear Relations between Observations and State
    Variables in Ensemble Filters
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2018/2018_AMS_nonlinear_JLA.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2018/2018_AMS_nonlinear_JLA.pdf)

    Using the Data Assimilation Research Testbed for Climate System
    Applications
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2018/2018_AMS_esm_da_JLA.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2018/2018_AMS_esm_da_JLA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Moha El Gharamti** Jan 2018 :
    Presented at the [AMS Annual Meeting
    2018](https://annual.ametsoc.org/2018/) in Austin, TX, USA

    Adaptive Prior Inflation for Ensemble Filters: Application to a
    Large-Scale Atmospheric Model
    [\[talk - pdf\]](http://www.image.ucar.edu/pub/DART/2018/MEG_AMS_2017_talk.pdf)

    Ensemble Data Assimilation for Very Large Atmosphere, Ocean and
    Coupled Models with the Data Assimilation Research Testbed
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2018/2018_AMS_DART_MEG.pdf)

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## 2017
----

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Dec 2017 :
    Presented at the [AGU Fall Meeting
    2017](http://fallmeeting.agu.org/2017/) in New Orleans, LA, USA

    Empowering Geoscience with Improved Data Assimilation Using the Data
    Assimilation Research Testbed "Manhattan" Release
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2017/2017_AGU_DART_KDR.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Moha El Gharamti** Jun 2017 :
    Presented at the [12th International EnKF
    Workshop](http://www.iris.no/enkf/previous-workshops/2017-solstrand-hotel-bad-os)
    in Os, Norway

    Enhanced Adaptive Inflation Algorithm for Ensemble Filters
    [\[talk - pdf\]](http://www.image.ucar.edu/pub/DART/2017/MEG_Os_2017_enkf_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Moha El Gharamti** Feb 2017 :
    Presented at the [ASLO 2017 Ocean Sciences Meeting: Mountains to the
    Sea](https://www.sgmeet.com/aslo/honolulu2017/) in Honolulu, Hawaii

    Biological Reanalysis with Online Parameter Estimation in the North
    Atlantic and the Arctic
    [\[talk - pptx\]](http://www.image.ucar.edu/pub/DART/2017/MEG_ASLO_2017_talk.pptx)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** 28 Aug 2017 - 1 Sep 2017 :
    Presented at the Nanjing DA tutorial in Nanjing, China

    Introduction to Data Assimilation
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_da_intro.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_da_intro.pdf)

    Practical Implementations of the Ensemble Kalman Filter
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_eakf.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_eakf.pdf)

    Parallel Implementations of Ensemble Kalman Filters for Huge
    Geophysical Models
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_scalable_ekf.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_scalable_ekf.pdf)

    Methods for Computing Localization of Observation Impacts in
    Ensemble Kalman Filters
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_localization.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_localization.pdf)

    Assimilating Observations with Spatially and Temporally Correlated
    Errors in a Global Atmospheric Model
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_correlated_error.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_Nanjing_2017_correlated_error.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** 21 Aug 2017 :
    Presented at [The 7th International Workshop on Catchment
    Hydrological Modeling and Data
    Assimilation](http://cahmda.westgis.ac.cn/) in Xi'an, China

    Ensemble Data Assimilation for Observations with Spatially and
    Temporally Correlated Errors
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_CAHMDA_VII_correlated_error.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_CAHMDA_VII_correlated_error.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** 18 Aug 2017 :
    Presented at the Training day for [The 7th International Workshop on
    Catchment Hydrological Modeling and Data
    Assimilation](http://cahmda.westgis.ac.cn/) in Xi'an, China

    Basic Concept of Land Surface Data Assimilation
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_CAHMDA_VII_da_intro.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_CAHMDA_VII_da_intro.pdf)

    Practical Implementations of the Ensemble Kalman Filter (with a
    focus on Land Surface Data Assimilation)
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2017/JLA_CAHMDA_VII_eakf.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2017/JLA_CAHMDA_VII_eakf.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2017 :
    Presented at the [CESM 2017
    Workshop](http://www.cesm.ucar.edu/events/workshops/ws.2017/) in
    Boulder, CO, USA

    Ensemble Data Assimilation for Very Large Atmosphere, Ocean and
    Coupled Models with the Data Assimilation Research Testbed
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2017/2017_CESM_DART_KDR.pdf)

    It has the same title as the AMS 2017 poster, but has somewhat
    different content.

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jan 2017 :
    Presented at the [AMS Annual Meeting
    2017](https://annual.ametsoc.org/2017/) in Seattle, WA, USA

    Ensemble Data Assimilation for Very Large Atmosphere, Ocean and
    Coupled Models with the Data Assimilation Research Testbed
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2017/2017_AMS_DART_KDR.pdf)

----
## 2016
----

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Dec 2016 :
    Presented at the [AGU Fall Meeting
    2016](http://fallmeeting.agu.org/2016/) in San Francisco CA, USA

    DART: A Community Facility Providing State-of-the-Art, Efficient
    Ensemble Data Assimilation for Large (Coupled) Geophysical Models
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2016/2016_AGU_DART_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Apr 2016 :
    Presented at the [EGU General Assembly 2016](http://www.egu2016.eu/)
    in Vienna, Austria

    Assimilating Observations with Spatially and Temporally Correlated
    Errors in a Global Atmospheric Model
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2016/2016_jla_EGU_correlated_error.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2016/2016_jla_EGU_correlated_error.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Apr 2016 :
    Presented at the [SIAM Conference on Parallel Processing in
    Scientific Computing](http://www.siam.org/meetings/pp16) in Paris, France

    Parallel Implementations of Ensemble Kalman Filters for Huge Geophysical Models
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2016/2016_jla_siam_scalable.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2016/2016_jla_siam_scalable.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2016 :
    Presented at the [AMS Annual Meeting
    2016](https://annual.ametsoc.org/2016/) in New Orleans LA, USA

    Assimilating Observations with Correlated Errors in an ensemble
    Kalman filter

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jan 2016 :
    Presented at the [AMS Annual Meeting
    2016](https://annual.ametsoc.org/2016/) in New Orleans LA, USA

    DART: New Research Using Ensemble Data Assimilation in Geophysical
    Models
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2015/20156_AGUAMS_DART.pdf)

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## 2015
----

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Dec 2015 :
    Presented at the [AGU Fall Meeting
    2015](http://fallmeeting.agu.org/2015/) in San Francisco CA, USA

    DART: New Research Using Ensemble Data Assimilation in Geophysical
    Models
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2015/20156_AGUAMS_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Oct 2015 :
    Presented at the State University of New York at Albany in Albany,
    New York, USA

    Building State-of-the-Art Forecast Systems with the Ensemble Kalman
    Filter
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2015/JLA_Albany_2015_SotA.pptx)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2015/JLA_Albany_2015_SotA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2015 :
    Presented at the [20th Annual CESM
    Workshop](https://www2.cesm.ucar.edu/events/ws-2015) in Breckenridge
    CO, USA

    DART Data Assimilation with CESM Models
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2015/DART_CESM_2015.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** May 2015 :
    Presented at the [STATMOS Summer School in Data
    Assimilation](http://www.stat.osu.edu/~oksana/summer-school-in-data-assimilation-2015.html)
    in Boulder CO, USA

    Getting to know the Data Assimilation Research Testbed - DART
    [\[presentation - pdf\]](http://www.image.ucar.edu/pub/DART/2015/DART_STATMOS_TJH_2015.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Feb 2015 :
    Presented at the [CESM Atmospheric Modeling Working
    Group](https://www2.cesm.ucar.edu/working-groups/amwg/meetings/20150217)
    in Boulder CO, USA

    DART Initial Conditions for a Refined Grid CAM-SE Forecast of
    Hurricane Katrina
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2015/2015_AMWG_CAM-SE.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jan 2015 :
    Presented at the [AMS Annual Meeting
    2015](https://annual.ametsoc.org/2015/) in Phoenix AZ, USA

    DART: Tools and Support for Ensemble Data Assimilation Research,
    Operations, and Education (same title as last year, different
    content!)
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2014/2014_AGU_DART_A23C-3251.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jan 2015 :
    Presented as part of the Colloquium Series in the Computational
    Science Deparment of San Diego State University in San Diego CA,
    USA

    The keys to (successful) ensemble data assimilation.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2015/DART_SDSU_TJH_2015.pdf)

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## 2014
----

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Dec 2014 :
    Presented at the [AGU Fall Meeting
    2014](http://fallmeeting.agu.org/2014/) in San Francisco CA, USA

    DART: Tools and Support for Ensemble Data Assimilation Research,
    Operations, and Education (same title as last year, different
    content!)
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2014/2014_AGU_DART_A23C-3251.pdf)

    Open-Source Data Assimilation for Land Models and Multiscale
    Observations.
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2014/2014_AGU_DART_LAND_IN41A-3647.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson, Tim Hoar** Oct 2014 :
    Presented at the [International Cooperative for Aerosol Prediction
    Meeting](http://icap.atmos.und.edu/) in Boulder CO, USA

    Verification of Ensemble Forecasts

    Anderson, part I:
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2014/ICAP_2014_JLA.pdf)

    Hoar, part II:
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2014/ICAP_2014_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Sep 2014 :
    Presented at the [Catchment-based Hydrological Model Data
    Assimlation (CAHMDA VI) and Hydrologic Ensemble Prediction
    Experiment (HEPEX-DAFOH III) Joint
    Workshop](http://www.jsg.utexas.edu/ciess/cahmda-vi-hepex-dafoh-iii/)
    in Austin TX, USA

    CAHMDA/DAFOH Ensemble Data Assimilation Tutorial
    [\[agenda - pdf\]](http://www.image.ucar.edu/pub/DART/2014/CAHMDA_VI_agenda.pdf)
    [\[Introduction - pdf\]](http://www.image.ucar.edu/pub/DART/2014/CAHMDA_VI_Intro.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Nancy Collins** June 2014 :
    Presented to the ocean modeling research section of
    [CMCC](http://www.cmcc.it/divisions/oda) in Lecce, Italy

    Scalable Computing Challenges in Ensemble Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2014/2014_CMCC_NSC.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jun 2014 :
    Presented at the [19th Annual CESM
    Workshop](https://www2.cesm.ucar.edu/events/ws-2014) in Breckenridge
    CO, USA

    CESM, CLM, Observations, and Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2014/DART_CLM_CESM2014_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Feb 2014 :
    Presented at the [CESM Atmospheric Modeling Working
    Group](https://www2.cesm.ucar.edu/working-groups/amwg/meetings/20140210)
    in Boulder CO, USA

    Comparing CAM-FV and CAM-SE in a 'perfect model' data assimilation
    environment
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/CESM_2013_Homme_DA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Helen Kershaw** Feb 2014 :
    Presented at the [SIAM Conference of Parallel Processing for
    Scientific Computing 2014](http://www.siam.org/meetings/pp14/) in
    Portland, OR, USA

    Parallelization Challenges for Ensemble Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2015/2015_SIAM_HK.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jan 2014 :
    Presented at the [AMS Annual Meeting
    2014](https://annual.ametsoc.org/2014/) in Atlanta GA, USA

    DART: Tools and Support for Ensemble Data Assimilation Research,
    Operations, and Education
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/20134_AGUAMS_DART.pdf)

    Ensemble data assimilation for soil-vegetation-atmosphere systems.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2014/2014_AMS_TJH_235997.pdf)

----
## 2013
----

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Dec 2013 :
    Presented at the [AGU Fall Meeting
    2013](http://fallmeeting.agu.org/2013/) in San Francisco CA, USA

    DART: Tools and Support for Ensemble Data Assimilation Research,
    Operations, and Education
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/20134_AGUAMS_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Alicia Karspeck** Oct 2013 :
    Presented at the [Sixth WMO Symposium on Data
    Assimilation](http://www.ncep.noaa.gov/events/2013/wmo6da) in
    College Park MD, USA

    An ensemble approach for the estimation of observational error
    variance

    With application to the nominal 1-degree POP2 ocean model.
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/2013_WMO_Alicia.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Oct 2013 :
    Presented at the [Sixth WMO Symposium on Data
    Assimilation](http://www.ncep.noaa.gov/events/2013/wmo6da) in
    College Park MD, USA

    Achieving Superior Tropical Cyclone Intensity Forecasts by Improving
    the Assimilation of High-Resolution Satellite Data into Mesoscale
    Prediction Models
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/2013_WMO_HuiLiu.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Oct 2013 :
    Presented at the [Sixth WMO Symposium on Data
    Assimilation](http://www.ncep.noaa.gov/events/2013/wmo6da) in
    College Park MD, USA

    Ensemble Data Assimilation for Soil-Vegetation-Atmosphere Systems
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/2013_WMO_clm_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Nancy Collins** Aug 2013 :
    Presented at the [FRCRC
    Symposium](http://www.uwyo.edu/uw/news/2013/08/uw-to-host-front-range-hpc-symposium-aug.-13-15.html)
    in Laramie WY, USA

    Scalable Computing Challenges in Ensemble Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/Collins_FRCRC.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Nancy Collins** Jun 2013 :
    Presented at the [18th Annual CESM
    Workshop](https://www2.cesm.ucar.edu/events/ws-2013) in Breckenridge
    CO, USA

    CESM/DART: An ensemble data assimilation system for fully coupled
    models.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/Collins-SEWG-2013.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jun 2013 :
    Presented at the [18th Annual CESM
    Workshop](https://www2.cesm.ucar.edu/events/ws-2013) in Breckenridge
    CO, USA

    Data Assimilation for CLM:a comprehensive overview in 12 minutes!
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/DART_CLM_CESM2013.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Ally M. Toure** Apr 2013 :
    Presented at the [MODIS Science Team
    Meeting](http://modis.gsfc.nasa.gov/sci_team/meetings/201304) in
    Silver Spring MD, USA

    Multi-Sensor Snow Data Assimilation: Part1: Assimilation of the
    MODIS Snow Cover Fraction the Community Land Model (CLM04)
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/MODIS_Team_meeting_TOURE_al_201304_v9.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Mar 2013 :
    Presented at the [TR32 International
    Symposium](http://tr32meeting.uni-koeln.de/) "Patterns in
    Soil-Vegetation-Atmosphere-Systems: Monitoring, Modelling & Data
    Assimilation" in Bonn, Germany

    The keys of ensemble data assimilation for
    soil-vegetation-atmosphere systems.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/DART_LSM_TR32_2013_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Mar 2013 :
    Presented at the [Institute for Mathematics and its Applications
    (IMA) Workshop on Stochastic Modeling of the Oceans and
    Atmosphere,](http://www.ima.umn.edu/2012-2013/W3.11-15.13) in
    Minneapolis MN, USA

    Ensemble Data Assimilation for Climate System Component Models
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/2013_IMA_ensemble_filter_JLA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Feb 2013 :
    Presented at the [CESM Atmospheric Modeling Working
    Group](https://www2.cesm.ucar.edu/working-groups/amwg/meetings/20130211)
    in Boulder CO, USA

    Data Assimilation with SE-CAM and DART
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/CESM_2013_Homme_DA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jan 2013 :
    Presented at the [93rd American Meteorological Society Annual
    Meeting](http://annual.ametsoc.org/2013/) in Austin TX, USA

    New Developments in the Data Assimilation Research Testbed
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2013/2013_AMS_NewDART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2013 :
    Presented at the [2013 AMS Special Symposium on Advancing Weather
    and Climate Forecasts: Innovative Techniques and
    Applications](http://annual.ametsoc.org/2013/index.cfm/programs-and-events/conferences-and-symposia/special-symposium-on-advancing-weather-and-climate-forecasts-innovative-techniques-and-applications/)
    in Austin TX, USA

    The Data Assimilation Research Testbed: A Community Facility for
    Ensemble Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2013/2013_AGU_testbed_JLA.pdf)

----
## 2012
----

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Dec 2012 :
    Presented at the **NSF EarthCube Workshop: Shaping the Development
    of EarthCube to Enable Advances in Data Assimilation and Ensemble
    Prediction** in Boulder CO, USA

    The Data Assimilation Research Testbed: A Community Facility for
    Ensemble Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/2012_NSF_earth3_JLA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Dec 2012 :
    Presented at the [Third COSMOS
    Workshop](http://cosmos.hwr.arizona.edu/workshop3/workshop3.html) in
    Tucson AZ, USA

    DART and Land Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/DART_LSM_COSMOS_2012.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Rafael Rosolem** Dec 2012 :
    Presented at the [AGU Fall
    Meeting](http://fallmeeting.agu.org/2012/) in San Francisco CA, USA

    Data Assimilation of Cosmic-ray Derived Soil Moisture
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/Rosolem_AGU_H23G-04_20121204.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **[Alexey Morozov](http://www-personal.umich.edu/~morozova/MySite/Publications.html)** Dec 2012 :
    Presented at the [AGU Fall
    Meeting](http://fallmeeting.agu.org/2012/) in San Francisco CA, USA

    Data Assimilation and Parameter Estimation for the Global
    Ionosphere-Thermosphere Model using the Ensemble Adjustment Kalman
    Filter
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2012/AlexeyMorozovAGU2012.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Oct 2012 :
    Presented at the [Sixth FORMOSAT-3/COSMIC Data Users'
    Workshop](http://www.cosmic.ucar.edu/oct2012workshop/index.html) in
    Boulder, Colorado

    Improvements to WRF/DART Ensemble Assimilation System for RO Data
    Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/COSMIC2012liu.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jul 2012 :
    Presented at the [5th International Workshop on Catchment
    Hydrological Modelling and Data assimilation
    (CAHMDA-V)](http://cahmda.itc.nl//) in Enschede, Netherlands

    Data Assimilation with DART
    [\[ppt\]](http://www.image.ucar.edu/pub/DART/2012/CAHMDA-V_Tutorial.ppt)
    [\[pptx\]](http://www.image.ucar.edu/pub/DART/2012/DARTCLM_CAHMDA_2012.pptx)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jun 2012 :
    Presented at the **17th Annual CESM Workshop** in Breckenridge, CO, USA

    Data Assimilation with CLM & DART
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/DARTCLM_CESM_2012.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Nancy Collins** Jun 2012 :
    Presented at the **17th Annual CESM Workshop** in Breckenridge, CO, USA

    Status of using DART with multi-instance CESM
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/SEWG_CESM_2012.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2012 :
    Presented at the **17th Annual CESM Workshop** in Breckenridge, CO, USA

    Data Assimilation with Multi-Instance CESM Components and DART
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2012/KDR_poster_CESM_2012.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Mar 2012 :
    Presented at Cornell University in Ithaca, NY, USA

    An Introduction to Ensemble Data Assimilation and the Data
    Assimilation Research Testbed (DART)
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/ensemble_DA_and_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Andrew Fox** Mar 2012 :
    Presented at the [2012 Land Model Working
    Group](http://www.cesm.ucar.edu/working_groups/Land/) in Boulder, CO, USA

    Ensemble-based Data Assimilation for the Community Land Model
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/LMWG_fox_022812.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Feb 2012 :
    Presented at the [2012 Ocean Sciences
    Meeting](http://www.sgmeet.com/osm2012/) in Salt Lake City, UT, USA

    Ensemble Data Assimilation and Uncertainty Quantification
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/jla_ocean_sciences_2012.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Alicia Karspeck** Feb 2012 :
    Presented at the [2012 Ocean Sciences
    Meeting](http://www.sgmeet.com/osm2012/) in Salt Lake City, UT, USA

    POPDART: An Ensemble Data Assimilation System for the Ocean
    Component of CESM
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2012/OS2012_Karspeck_poster.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jan 2012 :
    Presented at the [2012 AMS Annual
    Meeting](http://annual.ametsoc.org/2012/) in New Orleans, LA, USA

    Challenges for Robust Ocean Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/dart_agu2012_200472_pop.pdf)

    Land Surface Data Assimilation: DART and CLM
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2012/dart_agu2012_200094_clm.pdf)

    New Developments in the Data Assimilation Research Testbed
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2011/2011_AGU_newDART.pdf)

----
## 2011
----

![](http://www.image.ucar.edu/images/pin4.gif) **Andrew Fox** Dec 2011 :
    Presented at the [2011 AGU Fall
    Meeting](http://www.agu.org/meetings/) in San Francisco, CA, USA

    A Model-Data Fusion Approach to Integrate National Ecological
    Observatory Network Observations into an Earth System Model
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2011/2011_AGU_DARTCLM_Yongfei.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Yongfei Zhang** (UT Austin) Dec 2011 :
    Presented at the [2011 AGU Fall
    Meeting](http://www.agu.org/meetings/) in San Francisco, CA, USA

    Snow Data Assimilation: DART and CLM
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2011/2011_AGU_DARTCLM_Yongfei.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Dec 2011 :
    Presented at the [2011 AGU Fall
    Meeting](http://www.agu.org/meetings/) in San Francisco, CA, USA

    A Non-Gaussian Ensemble Filter for Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/2011_AGU_nongauss_da_JLA.pdf)

    Challenges in Developing Coupled Earth System Model Data
    Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/2011_AGU_dart_coupled_esm_da.pdf)

    New Developments in the Data Assimilation Research Testbed
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2011/2011_AGU_newDART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Alicia Karspeck** Oct 2011 :
    Presented at the [(WCRP) World Climate Research Programme Open
    Sciences Conference 2011](http://conference2011.wcrp-climate.org/)
    in Denver, CO, USA

    Deep transient circulation resulting from the initialization of an
    ocean ensemble assimilation system
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2011/WCRP2011_Karspeck.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Sep 2011 :
    Presented at the [Earth System Prediction Capability
    Workshop](http://www7320.nrlssc.navy.mil/ESPC_DA/) at the University
    of Maryland, MD, USA

    The Data Assimilation Research Testbed: A Community Ensemble DA
    Facility
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/JLA_ESPC_da.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Sep 2011 :
    Presented at the [SAMSI UQ
    Workshop](http://www.samsi.info/workshop/2011-12-uq-program-methodology-opening-workshop-and-tutorials)
    in Research Triangle Park, NC, USA

    Ensemble Data Assimilation and Uncertainty Quantification
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/ensemble_da_uq.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson, Nancy Collins** Jun 2011 :
    Presented at the **16th Annual CESM Workshop** in Breckenridge, CO, USA

    A Wishlist of CESM Capabilities for Support of Ensemble Data
    Assimilation with DART
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/JLA_CESM_breck.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2011 :
    Presented at the **16th Annual CESM Workshop** in Breckenridge, CO, USA

    Loosely Coupled Atmosphere-Ocean Data Assimilation: CAM-DART-POP
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_CLIVAR_BWI_tjh.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** May 2011 :
    Presented at the [International Cooperative for Aerosol Prediction
    (ICAP/AEROCAST) Ensemble Forecasts and Data
    Assimilation](http://bobcat.aero.und.edu/jzhang/ICAP) in Boulder, CO, USA

    Introduction to Ensemble Kalman Filters and the Data Assimilation
    Research Testbed
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/jla_icap.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2011 :
    Presented at the [91st Annual Meeting of the
    AMS](http://www.ametsoc.org/meet/annual) in Seattle, WA, USA

    Localization and Correlation in Ensemble Kalman Filters.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/JLA_sec_seattle.pdf)

    A Loosely Coupled Ocean-Atmosphere Ensemble Assimilation System.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2011/AMS_2011_CAMDARTPOP_JLA.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **McLay, J., J. Hansen, J. Hacker,
    D. Hodyss, T. Hoar, N. Collins, T. Whitcomb, A. Reinecke, J. Anderson** 2011 :
    Presented at the 15th Symposium on Integrated Observing and
    Assimilation Systems for the Atmosphere, Oceans, and Land Surface
    (IOAS-AOLS), 91st AMS Annual Meeting, Seattle, WA, USA

    NOGAPS DART: A comparison of EnKF-based and local ET-based ensemble
    perturbations.

![](http://www.image.ucar.edu/images/pin4.gif) **Reinecke P.A., J. Doyle,** 2011 :
    Presented at the 91st AMS Annual Meeting, Seattle, WA, USA

    Ensemble error growth and the mesoscale predictability of
    cyclogenesis in the lee of the European Alps.

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A.,** 2011 :
    Presented at the High Impact Weather Working Group Workshop, Norman, OK, USA

    GOES-R ABI proxy radiance dataset generation and data assimilation
    activities at CIMSS.

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A., D. C. Hartung,
    D. D. Turner, R. A. Petersen, W. F. Feltz, and E. Janzon,** 2011 :
    Presented at the 15th Conference on Integrated Observing and
    Assimilation Systems for Atmosphere, Oceans, and Land Surface,
    Seattle, WA, USA

    Assimilation of surface-based profiler observations during an
    observation system simulation experiment. Part 1: Analysis Impact.

![](http://www.image.ucar.edu/images/pin4.gif) **Hartung, D. C., J. A. Otkin,
    R. A Petersen, D. D. Turner, and W. F. Feltz,** 2011 :
    Presented at the 15th Conference on Integrated Observing and
    Assimilation Systems for Atmosphere, Oceans, and Land Surface,
    Seattle, WA, USA

    Assimilation of surface-based profiler observations during an
    observations system simulation experiment. Part 2: Forecast Assessment.

----
## 2010
----

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Dec 2010 :
    Presented at the [2010 AGU Fall
    Meeting](http://www.agu.org/meetings/fm10/) in San Francisco, CA, USA

    The Use of the Data Assimilation Research Testbed for Initializing
    and Evaluating IPCC Decadal Forecasts.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_AGU_decadal_forecasts_KDR.pdf)

    The Data Assimilation Research Testbed: New Algorithms and Applications
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_AGU_DARTupdate_kdr.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **C. Lee, M. I. Richardson,
    W. G. Lawson, J. L. Anderson, N. Collins, T. Hoar, M. Mischna, and A. D. Toigo,** Dec 2010 :
    Presented at the [2010 AGU Fall
    Meeting](http://www.agu.org/meetings/fm10/) in San Francisco, CA,
    USA

    Preliminary Results from Ensemble Data assimilation of the Martian
    Atmosphere using TES radiances Abstract P53E-1563.
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_AGU_CLee_MarsPoster.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Dec 2010 :
    Presented at the *JCSDA/HFIP Workshop on satellite data assimilation
    for hurricane forecasting* in Miami, FL, USA

    Impact of Assimilating GPS RO refractivity on Tropical Cyclone
    Position and Intensity Analyses and Forecasts
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_Hui_Miami.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Dec 2010 :
    Presented at the *JCSDA/HFIP Workshop on satellite data assimilation
    for hurricane forecasting* in Miami, FL, USA

    Future Directions in Ensemble DA for Hurricane Prediction
    Applications
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_JLA_Miami.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Nov 2010 :
    Presented at the *NASA Sounder Workshop and Science Team Meeting* in
    Greenbelt, MD, USA

    Improving forecasts of tropical cyclone intensity and track using
    AIRS water vapor observations with an ensemble data assimilation
    system.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_Hui_NASA_SWSTM.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Nov 2010 :
    Presented at [CLIVAR: Evaluation of Reanalyses – Developing an
    Integrated Earth System Analysis (IESA)
    Capability](http://www.usclivar.org/Reanalysis2010.php) in
    Baltimore, MD, USA

    Loosely Coupled Atmosphere-Ocean Data Assimilation: CAM-DART-POP
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_CLIVAR_BWI_tjh.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Wicker, L. J., E. R. Mansell,
    D. C. Dowell and D. T. Dawson,** Oct. 2010 :
    Preprints, [25th Conf. on Severe Local
    Storms](http://www.ametsoc.org/meet/fainst/201025sls.html), Denver
    CO, Amer. Meteor. Soc., Paper 12B.5.

    High-resolution storm-scale numerical weather prediction using EnKF
    for the 8 May 2003 Moore Oklahoma tornadic supercell.

![](http://www.image.ucar.edu/images/pin4.gif) **Dowell, D., G. Romine, and C. Snyder,** Oct. 2010 :
    Preprints, [25th Conf. on Severe Local
    Storms](http://www.ametsoc.org/meet/fainst/201025sls.html), Denver,
    Colorado, Amer. Meteor. Soc., Paper 9.5.

    Ensemble storm-scale data assimilation and prediction for severe
    convective storms.

![](http://www.image.ucar.edu/images/pin4.gif) **C. Lee, M. I. Richardson, W. G. Lawson,
    and J. L. Anderson**, Oct 2010 :
    Presented a the American Astronomical Society, DPS meeting \#42,
    \#30.09; Pasadena, CA, USA Bulletin of the American Astronomical
    Society, Vol. 42, p.1029

    Ensemble Data Assimilation of the Martian Atmosphere Using
    Temperature and Radiance Data from the Thermal Emission
    Spectrometer

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Sep 2010 :
    Presented at [CLIVAR Working Group on Ocean Model
    Development](http://www.clivar.org/organization/wgomd/decadal/decadal.php)
    in Boulder, CO, USA

    Weakly Coupled Atmosphere-Ocean Data Assimilation: CAM-DART-POP
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_CLIVAR_WGOMD_tjh.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tomoko Matsuo, E. A. Araujo-Pradere,
    and J. L. Anderson** June 2010 :
    Presented at the International Beacon Satellite Symposium,
    Barcelona, Spain

    Ensemble Kalman Filtering for Assimilation of GPS-based Ionospheric
    Observations.

![](http://www.image.ucar.edu/images/pin4.gif) **Turner, D. D., J. A. Otkin,
    D. C. Hartung, R. Peterson, W. F. Feltz, and E. Janzon** June 2010 :
    10th Workshop on Infrared Remote Sensing Applications, Quebec City,
    QB, Canada

    Impact of assimilating retreivals of temperature and humidity
    profiles from a ground-based network on a winter storm forecast.

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2010 :
    Presented at the *CESM User Group meeting 2010*, Breckenridge, CO, USA

    New Ocean, Atmosphere, Land, and Sea Ice Reanalyses from CESM1 (CAM5)
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2010/CESM_2010_AMWG_KDR.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Jun 2010 :
    Presented at the *CESM User Group meeting 2010*, Breckenridge, CO, USA

    POP-DART; The Leading Edge of Coupled Ocean-Atmosphere Reanalyses
    [\["poster" - pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_CESM_Breck_TJH.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** May 2010 :
    Presented at [The 5th International Workshop on Ensemble Kalman Filter for Model
    Updating](http://www.iris.no/enkf/previous-workshops/2010-clarion-hotel-admiral-bergen),
    Bergen, Norway

    Reducing the Impact of Sampling Errors in Ensemble Filters.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_Bergen_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** May 2010 :
    Presented at the [29th Conference on Hurricanes and Tropical
    Meteorology](http://www.ametsoc.org/meet/fainst/201029hurricanes.html)
    in Tucson, AZ, USA

    Impact of Assimilating Environmental Satellite Observations on
    Tropical Storm Position and Intensity Analyses and Forecasts
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_Hui_AMS_Tucson.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Apr 2010 :
    Presented at [The 4th EnKF Workshop](http://hfip.psu.edu/EDA2010) in
    Rensselaerville, NY, USA

    Localization and Correlation in Ensemble Kalman Filters.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2010/2010_NY_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A., and W. Lewis** Apr 2010 :
    Presented at The 4th Ensemble Data Assimilation Workshop,
    Renssellaerville, NY, USA

    Assimilation of simulated ABI infrared brightness temperatures using
    an ensemble Kalman filter.

![](http://www.image.ucar.edu/images/pin4.gif) **T. Hoar, Jeffrey Anderson,
    N. Collins, and B. Nadiga** Jan 2010 :
    Presented at the [14th Symposium on Integrated Observing and
    Assimilation Systems for the Atmosphere, Oceans, and Land Surface
    (IOAS-AOLS)](http://ams.confex.com/ams/90annual/techprogram/programexpanded_576.htm),
    90th Annual AMS Meeting, Atlanta, GA USA

    POP-DART: An ensemble assimilation system for the parallel ocean
    program. [\[abstract & link to
    presentation\]](http://ams.confex.com/ams/90annual/techprogram/paper_162468.htm)

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A., and W. E. Lewis** Jan 2010 :
    Presented at the 14th Symposium on Integrated Observing and
    Assimilation Systems for the Atmosphere, Oceans, and Land Surface,
    Atlanta, GA. Assimilation of simulated infrared brightness
    temperatures as part of an OSSE employing the Ensemble Kalman Filter.

![](http://www.image.ucar.edu/images/pin4.gif) **Jeffrey Anderson, T. Hoar,
    K. Raeder, N. Collins, H. Liu, G. S. Romine, and A. F. Arellano** Jan 2010 :
    Presented at the [14th Symposium on Integrated Observing and
    Assimilation Systems for the Atmosphere, Oceans, and Land Surface
    (IOAS-AOLS)](http://ams.confex.com/ams/90annual/techprogram/programexpanded_576.htm),
    90th Annual AMS Meeting, Atlanta, GA USA

    DART: A community facility for ensemble data assimilation.
    [\[abstract\]](http://ams.confex.com/ams/90annual/techprogram/paper_162479.htm)

![](http://www.image.ucar.edu/images/pin4.gif) **Petersen, R.A., J. A. Otkin,
    D. Hartung, D. Turner, W. F. Feltz and E. Janzon** 2010 :
    Presented at the NOAA/NASA/FAA Aviation Requirements Workshop, Boulder, CO, USA

    A \`Nationwide Network of Networks': Investigating the impacts of a potential
    ground-based profiling system using an Observing System Simulation Experiment.

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A.** 2010 :
    Presented at the 17th Conference on Satellite Meteorology and
    Oceanography, Annapolis, MD, USA

    The relative impact of clear and cloudy sky infrared brightness
    temperatures within an ensemble data assimilation system.

![](http://www.image.ucar.edu/images/pin4.gif) **Turner, D., J. A. Otkin,
    D. Hartung, R. Peterson, W. Feltz, and E. Janzon** 2010 :
    Presented at the EU COST 0702: Integrated Ground-based Observations
    of Essential Variables for Climate and Operational Meteorology. Paris, France

    Impact of assimilating retrievals of temperature and humidity
    profiles from a ground-based network on a winter storm forecast.

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A., and W. Lewis** 2010 :
    Presented at the 11th Annual WRF User's Workshop, Boulder, CO, USA

    Assimilation of simulated ABI infrared brightness temperatures using
    an ensemble Kalman filter data assimilation system.

![](http://www.image.ucar.edu/images/pin4.gif) **Turner, D. D., J. A. Otkin,
    D. C. Hartung, R. Peterson, W. F. Feltz, and E. Janzon** 2010 :
    Presented at the 10th Workshop on Infrared Remote Sensing
    Applications, Quebec City, QB, Canada

    Impact of assimilating retreivals of temperature and humidity
    profiles from a ground-based network on a winter storm forecast.

![](http://www.image.ucar.edu/images/pin4.gif) **Otkin, J. A., and W. E. Lewis** 2010 :
    Presented at the 14th Symposium on Integrated Observing and
    Assimilation Systems for the Atmosphere, Oceans, and Land Surface,
    Atlanta, GA, USA

    Assimilation of simulated infrared brightness temperatures as part
    of an OSSE employing the Ensemble Kalman Filter.

----
## 2009
----

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Dec 2009 :
    Presented at the [2009 AGU Fall
    Meeting](http://www.agu.org/meetings/fm09/), San Francisco, CA, USA

    DART: A Facility for Ensemble Data Assimilation
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_AGU_AMS_kdr.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Dec 2009 :
    Presented at the Ocean Modeling Working Group meetings, Boulder, CO, USA

    Ensemble Data Assimilation for POP.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_OMWG_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Oct 2009 :
    Presented at the COSMIC Meetings, Boulder, CO, USA

    Initialization of the Environment of Tropical Cyclogenesis by
    Assimilating RO Data using an Ensemble Filter.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_COSMIC_HUI_ernesto.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Oct 2009 :
    Presented at the COSMIC Meetings, Boulder, CO, USA

    Impacts of COSMIC GPS Observations on a Climate Reanalysis.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_COSMIC_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Sep 2009 :
    Presented at the [Computing in Atmospheric Sciences
    Workshop](http://www.cisl.ucar.edu/dir/CAS2K9), Annecy, France

    Ensemble Data Assimilation for Large Atmospheric Models
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_CAS2K9_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Sep 2009 :
    Presented as a seminar at the ECMWF, Reading, UK

    Parallel Implementation of Sequential Ensemble Kalman Filters
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_ECMWF_JLA_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Robert Pincus** Sep 2009 :
    Presented at the [ECMWF Seminar 2009 Diagnosis of Forecasting and
    Data Assimilation
    Systems](http://www.ecmwf.int/newsevents/meetings/annual_seminar/2009/index.html),
    Reading, UK

    Assimilating clouds in perfect global models

    (or trying to - a work in slow progress).
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_ECMWF_Pincus.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2009 :
    Presented at the CCSM User Group meeting 2009, Breckenridge, CO, USA

    New Diagnostics of CAM from DART
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_CCSM_kdr.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Nedjeljka Zagar** April 2009 :
    Presentations at EGU, Vienna, Austria.

    Diagnosis of analysis and forecast ensembles by using normal modes
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_EGU_zagar_poster2.pdf)

    Uncertainties of estimates of intertio-gravity energy in the
    atmosphere
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2009/2009_EGU_zagar_poster1.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Dorita Rostkier-Edelstein** Feb 2009 :
    Presented at the Institute of Earth Sciences, the Hebrew University
    of Jersusalem, Israel.

    Probabilistic estimation of the state of the planetary boundary
    layer using surface observations, a column model and an ensemble filter.

----
## 2008
----

![](http://www.image.ucar.edu/images/pin4.gif) **Emanuele Di Lorenzo** Dec 2008 :
    Presentation at AGU, San Francisco, California.

    Theory and Applications of Variational, Sequential and Bayesian
    Hierarchical Methods in Data Assimilation
    [\[abstract\]](http://www.image.ucar.edu/pub/DART/2008/2008_AGU_edl_abstract.txt)

![](http://www.image.ucar.edu/images/pin4.gif) **Ibrahim Hoteit** Dec 2008 :
    Presentation at AGU, San Francisco, California.

    A MITgcm/DART Ocean Analysis and Prediction System with Application
    to the Gulf of Mexico
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_AGU_hoteit_poster.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Dec 2008 :
    Presentation and poster at AGU, San Francisco, California.

    Diagnosis of Noise in the FV core using DART.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/KDR_CCSM08_DART.pdf)

    A General Purpose Data Assimilation Facility: DART.
    [\[poster\]](http://www.image.ucar.edu/pub/DART/2008/2008_AGU_kdr_poster.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Dorita Rostkier-Edelstein** Dec 2008 :
    Presented at the Department of Geophysics and Planetary Sciences,
    Tel-Aviv University, Tel-Aviv, Israel

    Probabilistic Nowcasting of PBL Profiles: A Factor Separation Study.

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Dec 2008 :
    Presented at the 2008 CAOS Workshop: *Real Time Filtering and
    Prediction for Turbulent Signals in Weather and Climate*, New York
    City, New York, USA

    Nonlinear, Non-Gaussian Ensemble Filters.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_CAOS_jla_nonlin_nongauss.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Nov 2008 :
    Presented at the NCAR Foothills Laboratory, Boulder, CO, USA

    Nonlinear, Non-Gaussian Ensemble Filters for Data Assimilation.

![](http://www.image.ucar.edu/images/pin4.gif) **Greg Lawson** Nov 2008 :
    Presented at the Third International Workshop on The Mars
    Atmosphere: Modeling and Observations. Williamsburg, VA, USA

    Ensemble-based Data Assimilation with Mapping Datasets of the
    Martian Atmosphere.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_WGLawson_Williamsburg_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Dorita Rostkier-Edelstein** Nov 2008 :
    Presented at the Jacob Blaustein Institutes for Desert Research,
    Ben-Gurion University of the Negev, Sede Boqer Campus, Israel

    Probabilistic estimation of the state of the planetary boundary
    using surface observations, a column model and an ensemble filter.

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Oct 2008 :
    Presented at The University of Utah, Salt Lake City, Utah, USA

    Predicting Hurricanes and Improving Climate Models using Ensemble
    Data Assimilation.
    [\[ppt\]](http://www.image.ucar.edu/pub/DART/2008/JLA_2008_Utah.ppt)

![](http://www.image.ucar.edu/images/pin4.gif) **Bill Kuo** Oct 2008 :
    Presented at the FORMOSAT-3/COSMIC Workshop 2008, Taipei, Taiwan

    The Impact of FORMOSAT-3/COSMIC GPS RO Data on Typhoon Prediction.

![](http://www.image.ucar.edu/images/pin4.gif) **Jennifer Kay** Oct 2008 :
    Presented at NCAR, Boulder, CO, USA

    Evaluating the atmospheric forcing on recent Arctic sea ice loss.

![](http://www.image.ucar.edu/images/pin4.gif) **Dorita Rostkier-Edelstein** Sep 2008 :
    Presented at the Meeting of the Israel Meteorological Society,
    Bet-Dagan, Israel

    Ensemble filter data assimilation: Application to probabilistic
    nowcasting of boundary layer profiles.

![](http://www.image.ucar.edu/images/pin4.gif) **Alicia Karspeck** Aug 2008 :
    Presented at the Joint Statistical Meetings 2008, Denver, CO, USA

    El Niño state estimation using the ensemble Kalman filter

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Aug 2008 :
    Presented at the Joint Statistical Meetings 2008, Denver, CO, USA

    Application of Radio Occultation Data in Analyses and Forecasts of
    Tropical Cyclones Using an Ensemble Assimilation System.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_JSM_liu_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Aug 2008 :
    Presented at the Joint Statistical Meetings 2008, Denver, CO, USA

    NCAR's Data Assimilation Research Testbed: DART. 'Plug and Play'
    Ensemble Data Assimilation.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_JSM_tjh_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeffrey Anderson** Aug 2008 :
    Presented at the Joint Statistical Meetings 2008, Denver, CO, USA

    Using Small Ensembles in High Dimensions: Hierarchical Bayesian
    Approaches to Adaptive Ensemble Filters.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_JSM_jla_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeffrey Anderson** July 2008 :
    Presented at the University of Maryland, MD, USA

    A non-gaussian ensemble filter for nonlinear models and discrete
    structures.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_UMD_jla_rank_hist_filter.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Nedjeljka Zagar** Jun 2008 :
    Presented at the CCSM User Group meeting 2008, Breckenridge, CO, USA

    Diagnosis of model biases by using DART
    [\[poster - pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008_CCSM_ZAGAR_poster.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** Jun 2008 :
    Presented at the CCSM User Group meeting 2008, Breckenridge, CO, USA

    Diagnosis of Noise in the FV core using DART.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/KDR_CCSM08_DART.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Apr 2008 :
    Presented at the *Hurricanes* session of the 2008 AMS, Orlando, FL, USA

    The Impact of Radio Occultation Data on Analysis of the Subtropical
    Anticyclone over Western Pacific Ocean
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/2008Apr_AMS_liu.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Apr 2008 :
    Presented at the *Workshop on Kalman Filtering*, 4-9 April 2008,
    Marble Falls, TX, USA

    Adaptive Inflation for Ensemble Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/jla_texas_enkf_talk.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Matsuo, T., J. L. Anderson,
    D. R. Marsh, and A. K. Smith** 2008 :
    Presented to the EGU General Assembly 2008, Vienna, Austria

    Ensemble Kalman filtering for assimilation of mesosphere and lower
    thermosphere observations.

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Feb 2008 :
    Presented at the *Atmosphere Model Working Group* (AMWG), 14
    February 2008, Boulder, CO, USA

    Using the DART-CAM Ensemble Data Assimilation System for Climate
    Model Development
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/jla_amwg_08.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2008 :
    Presented at the *88th AMS Annual Meeting*, 20--24 January 2008, New
    Orleans, Louisiana, USA

    The Relation Between Ensemble Size and Expected Error in Ensemble
    Filter Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2008/Anderson_AMS1_Jan08.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Josh Hacker** Jan 2008 :
    Presented at the *12th Conference on Integrated Observing and
    Assimilation Systems for Atmosphere, Oceans, and Land Surface
    (IOAS-AOLS)*, 20--24 January 2008, New Orleans, Louisiana, USA

    PBL State estimates with surface observations, a column model, and
    an ensemble filter: Probabilistic evaluation under various mesoscale
    regimes. [\[extended
    abstract\]](http://www.image.ucar.edu/pub/DART/2008/AMS2008_paper8.6_Hacker.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Jan 2008 :
    Presented at the *88th AMS Annual Meeting*, 20--24 January 2008, New
    Orleans, Louisiana, USA

    Improving Forecasts of Tropical Cyclones with Innovative GPSRO
    Satellite Observations [\[pdf of
    poster\]](http://www.image.ucar.edu/pub/DART/2008/2008Jan_AMS_liu_poster.pdf)

    Improving Analyses and Forecasts of the Asian Monsoon with GPS Radio
    Occultation Refractivity Observations [\[pdf of
    talk\]](http://www.image.ucar.edu/pub/DART/2008/2008Jan_AMS_liu_talk.pdf)

----
## 2007
----

![](http://www.image.ucar.edu/images/pin4.gif) **W. G. Lawson, M. I. Richardson,
    D. J. McCleese, J. T. Schofield, O. Aharonson, S. B. Calcutt, P. G. J. Irwin,
    D. M. Kass, C. B. Leovy, S.R. Lewis, D. A. Paige, P. L. Read, F. W. Taylor,
    and R. W. Zurek**, 2007 :
    Presented at the Seventh International Conference on Mars, Pasadena, California, USA

    Adapting State of the Art Data Assimilation Approaches for Use with
    the Mars Climate Sounder and the PlanetWRF Martian GCM. LPI
    Contribution No. 1353, p 3321.

![](http://www.image.ucar.edu/images/pin4.gif) **Nancy Collins** Nov 2007 :
    Presented at Supercomputing 2007, Reno, NV, USA

    DART overview.  [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007/2007_SC07_nsc.pdf)
    [\[animation1 (.mov)\]](http://www.image.ucar.edu/pub/DART/2007/ENKF_machine_6fps.mov)
    [\[animation2 (.mov)\]](http://www.image.ucar.edu/pub/DART/2007/L96basicDA.mov)
    [\[animation3 (.mov)\]](http://www.image.ucar.edu/pub/DART/2007/L96_growth.mov)

![](http://www.image.ucar.edu/images/pin4.gif) **W. G. Lawson, M. I. Richardson,
    D. J. McCleese, J. L. Anderson, Y. Chen, and C. Snyder** 2007 :
    Eos Trans. AGU, 88(52), Fall Meeting Suppl.,

    Ensemble-Based Data Assimilation with a Martian GCM Abstract P11A-0251.

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Nov 2007 :
    Talk presented at the NCAR/Univ of Wyoming Retreat, Steamboat Springs, CO, USA

    Data Assimilation Research Section - Overview
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007/2007_UWY_DART_overview_tjh.pdf)
    [\[animation1 (.mov)\]](http://www.image.ucar.edu/pub/DART/2007/ENKF_machine_6fps.mov)
    [\[animation2 (.mpg)\]](http://www.image.ucar.edu/pub/DART/2007/global_atmosphere1.mpg)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Aug 2007 :
    Presented at SPIE, San Diego, CA, USA

    The Impacts of Radio Occultation Data on analyses and prediction of
    the Monsoon and hurricanes using WRF ensemble forecast system.

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Jul 2007 :
    Presented at the IUGG, Data Assimilation session, Perugia, Italy.

    Assimilation of GPS radio occultation refractivity with WRF using a
    non-local observation operator.
    [\[poster-pdf\]](http://www.image.ucar.edu/pub/DART/2007_IUGG_hui.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jun 2007 :
    Presented at the CCSM Summer Workshop, Breckenridge, CO, USA

    Data Assimilation for CAM - Research & Development.
    [\[poster-pdf\]](http://www.image.ucar.edu/pub/DART/2007_CCSM_jla.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **David Dowell** Jun 2007 :
    Presented at the WRF User's Workshop, Boulder, CO, USA

    Mesoscale WRF Surface-Data Assimilation: Spring 2007 Experiments at
    the National Severe Storms Laboratory
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/Dowell_13jun2007_WRF_Workshop.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jun 2007 :
    Presented at the 22nd Conference on Weather Analysis and
    Forecasting/18th Conference on Numerical Weather Prediction, Park
    City, UT, USA

    DART: A Community Tool for Ensemble Data Assimilation Research and Development.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_WAFNWP_jla_dart_overview.pdf),

    An Introduction to Ensemble Kalman Filtering.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_WAFNWP_jla_tutorial.pdf),
    and

    A Boxcar Kernel Filter for Assimilation of Discrete Structures (and Other Stuff).
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_WAFNWP_jla_boxcar_filter.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Josh Hacker** Jun 2007 :
    Presented at the 22nd Conference on Weather Analysis and
    Forecasting/18th Conference on Numerical Weather Prediction, Park
    City, UT, USA

    PBL state estimation with surface observations, a column model and
    an ensemble filter.

![](http://www.image.ucar.edu/images/pin4.gif) **Nancy Collins** May 2007 :
    Presented at the LCI International Conference on High-Performance
    Clustered Computing, South Lake Tahoe, CA, USA

    Parallel Implementation of Ensemble Filter Algorithms for Data
    Assimilation.
    [\[poster-pdf\]](http://www.image.ucar.edu/pub/DART/2007_LCI_nsc.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Kevin Raeder** May 2007 :
    Presentation and poster at the AGU Spring meeting 2007, Acapulco, Mexico.

    Adaptive Spatially-varying Variance Inflation in an Ensemble Filter.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_AGU_kdr_talk.pdf)

    A General Purpose Data Assimilation Facility: DART.
    [\[poster\]](http://www.image.ucar.edu/pub/DART/2007_AGU_kdr_poster.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Josh Hacker** Apr 2007 :
    Presented to the EGU General Assembly 2007, Vienna, Austria

    State estimation and predictability in the planetary boundary layer.

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Apr 2007 :
    Presented at MSRI Symposium on Climate Change, Berkeley, CA, USA.

    Using Observations to Estimate Climate Model Parameters
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_MSRI_jla.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Mar 2007 :
    Presented at NCAR, Boulder, CO, USA.

    The Data Assimilation Research Testbed: Powerful, Adaptive, and Fast
    Assimilation for Geophysical Applications.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_ARG_jla.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Ave Arellano** Jan 2007 :
    Presented to the AMS, San Antonio, TX, USA.

    Constraining Tropospheric CO using Ensemble-based Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_AMS_ave.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2007 :
    Talk presented to the AMS, San Antonio, TX, USA.

    Capabilities and Limitations of Ensemble Data Assimilation
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_AMS_jla_space_weather.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Jeff Anderson** Jan 2007 :
    Talk presented to the Atmospheric Modeling Working Group (AMWG),
    Boulder, CO, USA.

    Using the DART-CAM Ensemble Data Assimilation System for Climate
    Model Development.
    [\[pdf\]](http://www.image.ucar.edu/pub/DART/2007_AMWG_jla.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **D. Rostkier-Edelstein** Jan 2007 :
    Department seminar to The Department of Geophysics and Planetary
    Sciences, Tel-Aviv University, Israel

    PBL State Estimation with Surface Observations, a Column Model and
    an Ensemble Filter.

----
## 2006
----

![](http://www.image.ucar.edu/images/pin4.gif) **W. G. Lawson, M. I. Richardson,
    D. J. McCleese, J. T. Schofield, O. Aharonson, S. B. Calcutt, P. G. J. Irwin,
    D. M. Kass, C. B. Leovy, S.R. Lewis, D. A. Paige, P. L. Read, F. W. Taylor,
    and R. W. Zurek** 2006 :
    Presented at the [2006 AGU Fall
    Meeting](http://www.agu.org/meetings/fm06/) in San Francisco, CA, USA

    Data Assimilation With the Mars Climate Sounder abstract P23B-0061

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Dec 2006 :
    Presented at the China National Climate Center, Beijing, China

    Application of GPS radio occultation data in improving regional
    analyses of water vapor and temperature over tropical oceans.

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Dec 2006 :
    Talk presented at the AGU Fall meeting, San Francisco, CA, USA

    Influence of COSMIC Satellite data in improving analyses over
    tropical oceans

![](http://www.image.ucar.edu/images/pin4.gif) **Alexis Zubrow** Oct 2006 :
    Presented at the 5th Annual CMAS Conference, Chapel Hill, NC, USA

    EAKF-CMAQ: Development and initial evaluation of an Ensemble
    Adjustment Kalman Filter based data assimilation for CO. [\[Extended
    Abstract\]](http://www.cmascenter.org/conference/2006/abstracts/zubrow_session7.pdf)

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Oct 2006 :
    Talk presented at the First FORMSAT-3/COSMIC User Data Workshop,
    Boulder, CO, USA

    Application of GPS radio occultation refractivity in improving
    tropical analyses of tempeature and water vapor.

![](http://www.image.ucar.edu/images/pin4.gif) **D. Rostkier-Edelstein** Oct 2006 :
    Talk presented to the Environmental Sciences Division of the Israel
    Institute for Biological Research, Israel

    PBL State Estimation with Surface Observations, a Column Model and
    an Ensemble Filter.

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Aug 2006 :
    Talk presented at the IEEE International Geoscience and Remote
    Sensing Symposium, Denver, CO, USA

    Assimilations of Global Positioning System radio occultation
    observations with an Ensemble filter in Atmospheric Prediction Models.

![](http://www.image.ucar.edu/images/pin4.gif) **D. Rostkier-Edelstein** Aug 2006 :
    Talk presented at the 10th Annual George Mason University Conference
    on Atmospheric Transport and Dispersion Modeling, George Mason
    University, Fairfax, VA, USA

    Estimates of boundary layer profiles by means of ensemble-filter
    assimilation of near surface observations in a parameterized PBL -
    Application to transport and dispersion.

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Jun 2006 :
    Presented at the 7th WRF User Workshop, Boulder, CO, USA

    Exploring application of GPS RO data in improving analyses of T and
    Q in radiosonde sparse regions using WRF ensemble data assimilation system.

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Apr 2006 :
    Talk presented at the 2nd Ensemble Data Assimilation Workshop,
    Austin, TX, USA

    Exploring application of Radio Occultation measurements in Improving
    Analyses in traditional data sparse regions with WRF/DART ensemble
    data assimilation system.

![](http://www.image.ucar.edu/images/pin4.gif) **Josh Hacker** Apr 2006 :
    Presented at the 2nd Ensemble Data Assimilation Workshop, Austin, TX, USA

    Retrieving PBL profiles with ensemble-filter assimilation:
    Experiments with real observations, uncovering model behavior, and
    finding parameter distributions.

----
## 2005
----

![](http://www.image.ucar.edu/images/pin4.gif) **Hui Liu** Dec 2005 :
    Preliminary results from assimilation of GPS radio occultation data
    in WRF using an ensemble filter.
    [\[ppt\]](http://www.image.ucar.edu/pub/COSMIC_05Dec19_post.ppt)

![](http://www.image.ucar.edu/images/pin4.gif) **Alain Caya** 2005 :
    Evaluation of an Ensemble Kalman Filter for WRF against a 3D-Var
    Assimilation System.
    [\[pdf\]](http://www.image.ucar.edu/pub/WRF_EnsembleFilter.pdf)

----
## 2004
----

![](http://www.image.ucar.edu/images/pin4.gif) **Tim Hoar** Oct 2004 :
    Presented at the "Workshop on Ensemble Methods" at the UK Met Office in Exeter.

    An Operational-Quality Ensemble Assimilation System for NCAR's CAM
    Climate Model.

repository: timhoar/DART

branch_name: refs/heads/Manhattan

gha_language: Fortran

repo_name: timhoar/DART


text:
---
id: agent-command-configuration
title: Agent Command Configuration
sidebar_label: Agent Command Configuration
---

Since version `1.10.0`, the inspectIT Ocelot agent provides the _Agent Commands_ feature, which allows to interact with a specific agent.
Using this feature is only possible if the agent is used together with the inspectIT Ocelot Configuration-Server.

With this feature it is possible to send specific commands or operations to the agent via the configuration server, which the agent should execute.
Subsequently, the result of these commands is returned.

It is now possible to interact with the agent.
Simple commands can be executed, such as a "ping" command whether an agent exists or more complex commands, such as loading the class structure of the application in which the agent is integrated.
Some new functionality of the configuration server interface is based on this feature, e.g. the _class browser_.
These functions work only if this feature is enabled.

:::warning
It is important to note that depending on the complexity of the agent commands, they may have a negative impact on the performance of the target application.
:::

## How it works

It is important to note that the mentioned agent commands **cannot** be sent directly to the agents.
For security reasons, **all communication with the agents is initiated by the agents themselves**.
This means that the agent must always initiate communication and not vice versa.

In order to use the agent commands feature, it must first be enabled, as it is disabled by default.
See the [Configuration section](configuration/agent-command-configuration.md#configuration) for more information.

Once the feature is enabled, specific agent commands can be triggered via the configuration server.
The configuration server offers a certain [set of endpoints](https://github.com/inspectIT/inspectit-ocelot/blob/f01ad602a3b188d3be0d17eca22bc4370913b6a1/components/inspectit-ocelot-configurationserver/src/main/java/rocks/inspectit/ocelot/rest/command/AgentCommandController.java) for this purpose.

Once a command has been created, it is ready for the agent to pick up in the configuration server.
The agent then asks the configuration server at certain intervals whether new commands exist and obtains the commands assigned to it.
After that, the respective commands are executed by the agent and the result is sent back to the configuration server.

Due to the fact that the agent fetches the created agent commands in a certain interval, in the worst case it can take exactly the time of the interval until the agent receives a new command.
However, once the agent receives a command, it switches to its "live"-mode for a specific period of time where it receives commands in near real time.
If no more commands appear then, the agent will then switch back to normal mode, where it will again obtain the commands at the interval mentioned earlier.

## General Configuration

The agent command feature is disabled by default and must be enabled on the agent side.
This can be achieved with the help of the following configuration:

```YAML
inspectit:
  agent-commands:
    enabled: true
```

Now the agent has to be configured where it can reach the configuration server and retrieve its commands.
For this, the following endpoint of the configuration server has to be used: `/api/v1/agent/command`.
This is achieved by configuring the URL as follows:

```YAML
inspectit:
  agent-commands:
    url: http://<CONFIGURATION_SERVER_AND_PORT>/api/v1/agent/command
```

As soon as this is activated, the agent obtains the commands stored in the configuration server and executes them.
The complete configuration for activating the agent commands thus looks as follows.

```YAML
inspectit:
  agent-commands:
    enabled: true
    url: http://<CONFIGURATION_SERVER_AND_PORT>/api/v1/agent/command
```

### Dynamic Agent Command URL

In larger environments, where many agents exist and these reach the configuration server under different addresses, it can be cumbersome and difficult to successfully configure the agent command URL.
Especially if the configuration server HTTP address is already successfully set up, e.g. via JVM properties, you do not want to have to configure the agent command URL additionally.

For this purpose, there is the possibility that the agent derives the agent command URL based on the configured URL for retrieving the agent configuration via HTTP.
This possibility can be activated by using the following configuration:

```YAML
inspectit:
  agent-commands:
    derive-from-http-config-url: true
```

:::tip
This setting takes the URL defined under `inspectit.config.http.url` as a basis.
:::

This setting has a higher priority than manually specifying the URL.
If an agent command URL is configured and the `derive-from-http-config-url` option is enabled, the URL is ignored if it is possible to derive the agent command URL based on the HTTP configuration URL.

To generate the agent command URL, only the information regarding protocol, host and port is used from the URL of the HTTP configuration.
By default, `/api/v1/agent/command` is used as the path of the URL.
However, this can be adjusted using the following configuration, for example in the case that the configuration server is operated behind a reverse proxy and the URLs are not accessible under their actual name:

```YAML
inspectit:
  agent-commands:
    agent-command-path: "/proxy/command"
```

### Additional Configuration Options

The agent command feature can be more precisely configured to the needs with the following optional parameters which are defined bellow the property `inspectit.agent-commands`:

| Property | Default Value | Description |
| --- | --- | --- |
| <nobr>`live-socket-timeout`</nobr> | `30s` | The timeout duration used when the agent is in discovery mode. Defining how long the agent will wait for new commands. |
| `socket-timeout` | `5s` | The timeout duration used for requests when the agent is in normal mode. |
| `polling-interval` | `15s` | The used interval for polling agent commands. |
| `live-mode-duration` | `2m` | How long the agent will staying in the live mode, before falling back to the normal mode. |

## Command-specific Configuration

Some agent commands need specific configuration to work, which is described in the following.

### Log Preloading for Logs Command

The Logs Command allows retrieving the agent logs via the configuration server.
For that, the agent preloads its own logs into a memory buffer, from which log entries are then retrieved by the command.

Log preloading is disabled by default and can be enabled as follows:

```YAML
inspectit:
  log-preloading:
    enabled: true
```

Preloading can be further configured, using the following properties below `inspectit.log-preloading`:

| Property              | Default Value | Description                                                                                |
|-----------------------|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `log-level`           | `WARN`        | The minimum log level to preload. If it is `WARN`, only log messages with level `WARN` and `ERROR` are preloaded. Allowed values are: `TRACE`, `DEBUG`, `INFO`, `WARN`, `ERROR`. |
| `buffer-size`         | `128`         | The maximum number of log messages to preload. When reaching the size, oldest messages are dropped first.                                                                        |

:::warning
Please note that any change to the log preloading configuration will cause all previously preloaded messages to be dropped.
:::

repository: ClaudioWaldvogel/inspectit-ocelot

branch_name: refs/heads/master

extension: md

license_type: permissive

repo_name: ClaudioWaldvogel/inspectit-ocelot


text:
---
layout: event-point/workshop
title: OwaspSAMM
type: workshop
track: project-summit
---

## OwaspSAMM

We will organise several SAMM workshops at the summit.

Main objectives are:

1) release SAMM2, the "DevOps release"

2) assure SAMM is integrated with the other OWASP projects

Workshops

1) using Maturity Models project on OSAMM data (see related [Maturity-Models](Maturity-Models.html) workshops


text:
# CTkRangeSlider
**A range slider widget made for [customtkinter](https://github.com/TomSchimansky/CustomTkinter)**

![Screenshot](https://user-images.githubusercontent.com/89206401/229349732-0e078b00-f2b7-46e7-9774-313090253769.jpg)

## Installation
### [<img alt="GitHub repo size" src="https://img.shields.io/github/repo-size/Akascape/CTkRangeSlider?&color=white&label=Download%20Source%20Code&logo=Python&logoColor=yellow&style=for-the-badge"  width="400">](https://github.com/Akascape/CTkRangeSlider/archive/refs/heads/main.zip)

Download the source code, paste the `CTkRangeSlider` folder in the directory where your program is present.

## Example
```python
from CTkRangeSlider import *
import customtkinter

def show_value(value):
    print(value)

root = customtkinter.CTk()

range_slider = CTkRangeSlider(root, command=show_value)
range_slider.pack(padx=30, pady=30, fill="both")

root.mainloop()
```

## Arguments
| Parameters | Details |
|--------|----------|
|master	| root window, can be _tkinter.Frame_ or _CTkFrame_|
|command	| callback function, receives slider value as argument, two separate commands can be given by `command=(cmd1, cmd2)`|
|variables	| tuple: set two tkinter.IntVar or tkinter.DoubleVar objects |
|width	| slider width in px|
|height | slider height in px|
|corner_radius| corner roundness of the slider |
|border_width	| space around the slider rail in px |
|from_	| lower slider value |
|to	| upper slider value |
|number_of_steps |	number of steps in which the sliders can be positioned |
|fg_color	| foreground color, tuple: (light_color, dark_color) or single color |
|progress_color	| tuple: (light_color, dark_color) or single color or "transparent", color of the slider line before the button |
|border_color	| slider border color, tuple: (light_color, dark_color) or single color or "transparent", default is "transparent"|
|button_color |	color of the slider buttons, tuple: (light_color, dark_color) or single color or **((light_color_1, dark_color_1), (light_color_2, light_color_2)) for separate button colors** |
|button_hover_color |	hover color, tuple: (light_color, dark_color) or single color|
|button_width | width of the buttons in px |
|button_length | length of the buttons in px|
|button_corner_radius | corner roundness of the buttons |
|orientation | "horizontal" (standard) or "vertical" |
|state	| "normal" or "disabled" (not clickable) |
|hover | bool, enable/disable hover effect, default is True |

## Methods:
- **.configure(attribute=value, ...)**

    All attributes can be configured and updated.
    ```python
     range_slider.configure(fg_color=..., progress_color=..., button_color=..., ...)
    ```
- **.set([value, value])**

   Set sliders to specific float value.

- **.get()**

   Get current values of slider.

- **.cget("attribute_name")**

   Get any attribute value.

### More Details
This widget works just like the normal customtkinter slider widget, but it has dual slider-heads instead of one. A special thanks to [EN20M](https://github.com/EN20M) for providing the custom DrawEngine for rangeslider.
Follow me for more stuff like this: [`Akascape`](https://github.com/Akascape/)
### That's all, hope it will help!

repository: Akascape/CTkRangeSlider

branch_name: refs/heads/main

repo_name: Akascape/CTkRangeSlider


text:
# kssc
Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering (kssc)
======

MATLAB implementation of the kSSC algorithm by Stephen Tierney.

## Citing

https://arxiv.org/abs/1704.03958

The paper has been submitted to Neurocomputing, December 2016.

Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering
Stephen Tierney, Yi Guo, Junbin Gao

## Included Libraries

- [Subkit][3]
- [NCut][2]
- [Vlfeat][1]

[1]: http://www.vlfeat.org
[2]: http://www.cis.upenn.edu/~jshi/software/
[3]: https://github.com/sjtrny/SubKit

license: MIT


text:
# TDT4250 - Xtended Style Sheet

By Odin Johan Vatne (HTOdinTH) and Joakim Danielsen Petersen (joakimdp).

## Description

XSS (Xtended Style Sheet) is a DSL built with Xtext that transpiles to CSS. XSS avoids much of the repetition of CSS by allowing grouping of styling for selectors, as well as supporting creating custom properties to group together semantically related styling.

## Structure

 * The Xtext specification for XSS is found in tdt4250.xss/src/tdt4250/xss/XSS.xtext.
 * The Ecore specification for XSS is generated by Xtext in tdt4250.xss/model/generated/XSS.ecore.
 * example/src/example1.xss is an example of an XSS-file, showcasing most of the features of XSS.
 * tdt4250.xss/src/tdt4250/xss/generator/XSSGenerator.xtend contains code for auto-generating the css output whenever a file is saved.
 This contains the entire m2t transformation.
 * tdt4250.xss/src/tdt4250/xss/validation/XSSValidator.xtend contains code for ensuring mathematical expressions can be evaluated.
 * exp4j/exp4j-0.4.8.jar is a library for evaluating mathematical expressions from strings, used by the xtend transformation.
 * In the branch `acceleo`, tdt4250.xss.m2t/src/tdt4250/xss/m2t/main.mtl specifies a model-to-text transformation using Acceleo.
 This was scrapped as we could not get Xtext and Acceleo to cooperate, and had to switch to xtend towards the end of the project.
 * tdt4250.xss.ui/src/tdt4250/xss/ui/plantuml/XSSDiagramTextProvider on the branch `visual` is a (failed) attempt at creating a plugin to generate PlantUML diagrams from the underlying Ecore instance model created from XSS files.

## Running the project

The necessary Eclipse software to run this project is:
 * Eclipse DSL tools
 * EMF - Eclipse Modeling Framework SDK
 * EMF - Eclipse Modeling Framework Xcore SDK
 * EMF Forms SDK
 * MWE2 Language SDK
 * Xtext Complete SDK

Additionally, if using the `visual` branch, additional software is needed:
 * PlantUML Ecore Feature
 * PlantUML Feature
 * PlantUML Library Feature

If using the `acceleo` branch, this additional software is needed:
 * Acceleo
 * Acceleo Query SDK

In order to work with XSS files the projects in this repo has to be opened in Eclipse. After all the projects have been opened, the eclipse plugins can be re-generated by right-clicking the XSS.xtext file and selecting Run As > Generate Xtext Artifacts.
Then, a new runtime Eclipse instance has to be started. This can be done by right-clicking on the tdt4250.xss project in the package explorer, selecting Run As > Eclipse Application. Now an XSS file can be created or opened and you can start working.
To create a new one, you may first create a new Java Project in eclipse, and then create a new file, and manually write in the .xss file ending. The editor supports syntax highlighting, and the outline window will show a tree view of how xtext interprets the file.
On save, a validation of your XSS file will be forced. If ther are no errors, a CSS file corresponding to your XSS file will be generated in a folder called src-gen in the root of your project. Otherwise, the editor will point out errors with the syntax and validation. The validator checks that any mathemathical expressions i CustomProperties can be properly evaluated.

## XSS

The overall syntax of XSS consists of four main kinds of Objects:
 *  **GroupSelectors**
Under the 'XSelectors:' keyword, a group (optionally denoted by '@') exists on the form `name (selector, selector, ...)`, where a name is any string consisting of alphanumeric characters and -dashes, and a selector is any css selector syntax (necessarily delimited by "quotes" whenever they contain spaces, commas, or parenthesis).
 * **GroupProperties**
Under the 'XProperties:' keyword, this is one of two kinds. Group properties are optionally prefixed with a '@', and are of the form `name (statement; statement; ...)`.
Two main types of statements exist:
   * SingleStatements, on the form `property=value`
   * MultiStatements, on the form `property (modifier=value; modifier=value; ...)`

   Where a property is any name that could form a css-property, or a reference to a CustomProperty (denoted by '$'), and value is any css value syntax (necessarily delimited by "quotes" whenever they contain spaces or special characters).
The MultiStatement specifies that the value of the property should be different for different selectors, for example, a property could specify one text-color for the css selector modifier `:hover`, and another for `:active`. Modifiers have the same syntax as selectors, and can therefore be used for containment modifiers too, like ` span` to specify values for span-elements contained by a selector.
 * **CustomProperties**
Custom properties are prefixed by a '$', and are given on the form `name (statement; statement; ...)`.
Where a property is any name that could form a css-property, and expression is any css value syntax as stated above, but where any segments delimited by `{}` may use mathermatical expressions with a single variable 'x' that corresponds to a floating point value specified whenever the CustomProperty is invoked.
 * **Rules**
Under the 'Rules:' keyword, rules express the actual relationships and statements to be compiled into css. They are of the form `selector, selector, ... : statement; statement; ...`
Where a selector is as described above, or a reference to a GroupSelector, prefixed by '@'. This implies that all statements in the rule also apply to the selectors within the GroupSelector. A rule can have 1 to n selectors.
After a ':' (which requires one space between the selectors and the keyword), any number of statements may be given, each ending in a ';'.
Statements can be of the form described in GroupProperties, with the additional option of GroupStatements, prefixed by '@'.

## Aknowledgements

This project uses exp4j by fasseg, which is available under the terms of the Apache 2.0 license.
https://www.objecthunter.net/exp4j/


text:
# Marvel Superhero Search

## Description

The Marvel Superhero Search is a simple, but helpful tool for every comic book nerd and teaches you everything you need to know about the Marvel Universe and its characters. This project is a web-based application that utilizes the Marvel API and Google Books API to search for characters in the Marvel Universe. The drop down next to the search button toggles between the 2 API's and allows the user to search for either comic books or general information about a character. The API's then send a request to either Marvel's or Google's servers to pull information for the character searched.

This project was made in partner with the University of Arizona Coding Bootcamp. All contributors can be found below.

This project is available online [here](https://mrarcher2000.github.io/group-api-project) or at https://mrarcher2000.github.io/group-api-project.

## Usage

The Marvel Superhero Search is available for common user access online at the above link. To search for a character, type in the name or first few letters of the charcter's name in the text box labeled 'SuperHero Name'. The dropdown next to the text box chooses the number of results that the user wants to display on the screen. Finally, the last dropdown box next to the 'Search' button allows the user to toggle between the Marvel API and the Google Books API. Choosing the Marvel API returns characters that are similar or the same as who you requested. Choosing the Google Books API will search through Google's database for comic books related to the character you searched for.

Developers are welcome to access the project repository by visiting https://github.com/mrarcher2000/group-api-project. **Note:** Please review the License section before making any changes to the files. Any unauthorized attempts to make changes to the existing code or files is not permitted.

## Authors and Acknowledgement

This project was developed in partnership with the University of Arizona Coding Bootcamp and Trilogy Education Services.

We do not claim any ownership over the Marvel or Google Books API's used in this application. Documentation for the Marvel API can be found [here](https://developer.marvel.com/) and the documentation for the Google Books API can be found [here](https://developers.google.com/books). All rights for these API's belong to their respective owners.

The Authors and creators of this project are listed below along with the respective GitHub links to their other work.

- Archer Nicholson (https://github.com/mrarcher2000)
- Nate Johnson (https://github.com/Elipticblock5)
- Juan Camacho (https://github.com/MWF2020)

## License

MIT License

Copyright (c) 2021 Marvel Superhero Search

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

 IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

gha_language: CSS


text:
---
title: "Tic-Tac-Toe Game App"
start: 2017-02-01
categories: project
tags: [GameDev, JS]
code: https://github.com/RIBTAS007/TIC-TAC-TOE
demo: https://ribtas007.github.io/TIC-TAC-TOE/
image: /img/project-imgs/Tic tac toe.jpg
---

This game was developed during the free code camp front end development certification course. This is the most famous
Tic-Tac-Toe game.The players have to alternatively fill the boxes until one of the players has drawn a row of three symbols
or until no one can win. Play the game from link below (not for mobile).

filename: 2017-02-01-Tic-Tac-Toe game app.md


text:
Group project from the Purple Power Rangers (#sg_prpl_power_rangers):
- Eileen Hertwig (@Eileen),
- Elena Greblova (@Elena),
- Elena Kutanov (@Elena Kutanov)

TITANIC: Predicting likelihood of surviving on Titanic

The Titanic competition (https://www.kaggle.com/c/titanic) is the classic first step when starting out at kaggle and a good intro to Machine Learning.
Our group worked through a manual (https://www.kaggle.com/sashr07/kaggle-titanic-tutorial) which gives a good overview on how to prepare the data, train a model and submit the results to kaggle.
Then, using PyTorch, we implemented 3 models, trained them and submitted predictions ti kaggle.

This repository contains the notebook documenting our group's joutney with the project.

repository: adrielvieira/UdacityOpenSource

repo_name: adrielvieira/UdacityOpenSource