# MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations Synthetic methane plume bank generated from WRF-LES 4.7.0 atmospheric simulations (Gorroño et al., Zenodo doi:10.5281/zenodo.18161182). Contains 1,064,448 ΔXCH4 maps [mol/mol] at 20m resolution spanning 11 wind speeds, 12 wind directions, 9 multisource and 5 areasource plume geometries, 3 temporal snapshots, 8 Solar Zenith Angles, and 24 Solar Azimuth Angles. All plumes are normalized to a reference emission rate of 3000 kg/h and scale linearly. Intended for synthetic data augmentation in satellite-based methane plume detection models. ## Dataset Information **Version**: 2.0.0 **License**: CC-BY-4.0 **Keywords**: methane, plume-detection, synthetic-data, WRF-LES, Sentinel-2, Landsat, EMIT, remote-sensing, earth-observation, data-augmentation, greenhouse-gas **Tasks**: regression, segmentation ## Dataset Overview **Partitions**: 8 files **Spatial coverage**: [-180.00, -90.00, 180.00, 90.00] (WGS84) ## Dataset Structure (Root-Sibling Uniform Tree) **Root**: FILE (1,064,448 samples) ## Metadata Fields ### LEVEL0 | Field | Type | Description | |-------|------|-------------| | `id` | `string` | Unique sample identifier within parent scope. Must be unique among siblings. | | `type` | `string` | Sample type discriminator (FILE or FOLDER). | | `simulation:source_type` | `string` | Simulation type: 'multi' (point sources) or 'area' (distributed) | | `simulation:wind_speed` | `float` | Geostrophic wind speed [m/s] | | `simulation:wind_dir` | `int16` | Wind direction [degrees, 0=North] | | `simulation:plume_id` | `int8` | Plume identifier (multi: 1-9, area: 1-5) | | `simulation:snapshot` | `int16` | WRF-LES snapshot index (70, 90, or 110) | | `simulation:sza` | `int8` | Solar Zenith Angle [degrees] | | `simulation:saa` | `int16` | Solar Azimuth Angle [degrees, 0=North] | | `simulation:q_ref` | `float` | Reference emission rate [kg/h] — scale linearly for other rates | | `internal:current_id` | `int64` | Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT). | | `internal:parent_id` | `int64` | Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT). | ## Usage ### Python ```python # pip install tacoreader import tacoreader ds = tacoreader.load("methane-plume-bank.tacozip") print(f"ID: {ds.id}") print(f"Version: {ds.version}") print(f"Samples: {len(ds.data)}") ``` ### R ```r # Coming soon: R support is planned but not yet available # install.packages("tacoreader") library(tacoreader) ds <- load_taco("methane-plume-bank.tacozip") cat(sprintf("ID: %s\n", ds$id)) cat(sprintf("Version: %s\n", ds$version)) cat(sprintf("Samples: %d\n", nrow(ds$data))) ``` ### Julia ```julia # Coming soon: Julia support is planned but not yet available # using Pkg; Pkg.add("TacoReader") using TacoReader ds = load_taco("methane-plume-bank.tacozip") println("ID: ", ds.id) println("Version: ", ds.version) println("Samples: ", size(ds.data, 1)) ``` ## Data Providers **Image and Signal Processing Group (ISP-UV)** — *producer* **LARS-UPV** — *producer* ## Dataset Curators | Name | Organization | Email | |------|--------------|-------| | Cesar Aybar | Image and Signal Processing Group, University of Valencia | csaybar@uv.es | ## Publications & Citations If you use this dataset in your research, please cite: **DOI**: 10.5281/zenodo.18161182 Gorroño, J., Pei, Z., & Guanter, L. (2025). Benchmark simulations for methane emissions validation and sensitivity studies. Zenodo. *Source WRF-LES simulations used to generate the plume bank.* --- **DOI**: 10.5194/egusphere-2025-4924 Gorroño, J., et al. (2025). Considering the observation and illumination angular configuration for improved methane detection. EGUsphere. *Describes the parallax correction methodology applied during projection.* --- ### BibTeX ```bibtex @dataset{methane-plume-bank2, title = {MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations}, author = {Cesar Aybar}, year = {2024}, version = {2.0.0}, publisher = {Image and Signal Processing Group, University of Valencia} } ``` --- Generated with ❤️ using [TacoToolbox](https://github.com/tacotoolbox/tacotoolbox) v0.26.9