World Food Program - Climate Risk Profiles
Domaine:
climateagricultureType de record:
dataset
Créateur:
AchEsqGhoSaa
Éditeur:
TheAll
Éditeur:
Har
Hôte:
Understand current and future climate hazards for: Burundi, Haiti, Guinea-Bissau, Guinee, Nepal, Niger, Pakistan, Somalia, and Tanzania Methodology
The data gathering uses three data sources to obtain daily climate data (historical and future).
1) CHIRPS for obtaining daily precipitation gridded data;
2) AgERA5 for obtaining minimum and maximum temperatures, solar radiation, and relative humidity;
3) Future Global Circulation Models information (GCM) from CMIP6 [ACCESS-ESM1-5, EC-Earth3-Veg, INM-CM5-0, MPI-ESM1-2-HR, MRI-ESM2-0] for the periods 2021-2040 and 2041-2060. Once all the data sources are standardized into 5 km resolution and bias-correction is applied to future daily data, a set of agroclimatic indices are computed to quantify the climate hazards.
The data gathering uses three data sources to obtain daily climate data (historical and future).
1) CHIRPS for obtaining daily precipitation gridded data;
2) AgERA5 for obtaining minimum and maximum temperatures, solar radiation, and relative humidity;
3) Future Global Circulation Models information (GCM) from CMIP6 [ACCESS-ESM1-5, EC-Earth3-Veg, INM-CM5-0, MPI-ESM1-2-HR, MRI-ESM2-0] for the periods 2021-2040 and 2041-2060. Once all the data sources are standardized into 5 km resolution and bias-correction is applied to future daily data, a set of agroclimatic indices are computed to quantify the climate hazards.