The paper discusses the creation of a Web service for information prognostic system GeoGIPSAR developed at Melentiev Energy Systems Institute Siberian Branch Russian Academy Sciences (MESI SB RAS). It relies on data from modern global climate models (such as NOAA, GPCC, etc.) to predict inflow in reservoirs Angara-Yenisei hydropower plant cascade. disadvantages are its limited interface (mostly...

The most frequently used climate classification map is that of Wladimir Köppen, presented in its latest version 1961 by Rudolf Geiger. A huge number of climate studies and subsequent publications adopted this or a former release of the Köppen-Geiger map. While the climate classification concept has been widely applied to a broad range of topics in climate and climate change research as well as ...

Figure S2 shows spatial linear trend patterns for MJJAS precipitation for observations 14 (GPCC) and the multi-model mean for each individual forcing. The spatial pattern of ALL 15 and ANT are more consistent with the AA than the GHG multi-model mean. GHG multi16 model mean shows increasing precipitation over most of the NHSM region, while the AA 17 multi-model means shows mostly drying trends....

This study assesses the performance of historical rainfall data from Coupled Model Intercomparison Project phase 6 (CMIP6) in reproducing spatial and temporal variability over North Africa. Datasets Climatic Research Unit (CRU) Global Precipitation Climatology Centre (GPCC) are used as proxy to observational datasets examine capability 15 CMIP6 models’ their ensemble simulating during 1951–2014...

Based on the NCEP/NCAR reanalysis data, COBE sea surface temperature (SST) and GPCC precipitation, influences of El Niño-South Oscillation (ENSO) variability winter rainfall anomalies in Southeast China is analyzed under synergistic effect Indian Ocean Dipole (IOD). Winter precipitation atmospheric circulation years IOD concurring with ENSO are compared single or ENSO, to reveal mechanism effec...