title: Forecast of Precipitation in Ai-Petri Area Based on Artificial Neuron Network Model
abstract: An improved method is proposed for forecasting monthly precipitation in the mountain Crimea based on a model of artificial neural network. The input parameters of the model where taken in the form of a set of climatic indices of the global ocean–atmosphere system over 1948–2020, calculated based on reanalysis data NCEP/NCAR and HadISST1. The model was verified for the control period of 2007–2020. The possibility of seasonal forecast of precipitation with a lead time of up to 6 months was demonst
journal: Water Resources