Agrifood systems are extremely vulnerable to climate-related hazards and disasters. Climate variability and change, and weather extremes drive damage and losses in agriculture and contribute to food insecurity and malnutrition. FAO uses the latest climate data and information to identify climate hazards and impacts on agricultural systems.
Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS): is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring.
Global Map of Monthly Precipitation: Grid with estimated precipitation per month with a spatial resolution of 10 arc minutes. This dataset has been constructed from 27 075 stations with 1961-1990 climatological normals. The dataset consists of 12 ASCII-grids with mean monthly data in mm/day * 10, and one ASCII-grid with yearly data in mm/year. In addition, 12 ASCII-grid with monthly values at 5 arc minutes resolution are made available as input data for a global water balance model (GlobWat).
Global Weather for Agriculture - AgERA5: is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. Acquisition and pre-processing of the original ERA5 data is a complex and specialized job. By providing the AgERA5 dataset, users are freed from this work and can directly start with meaningful input for their analyses and modelling.
Climate Risk Tool Box (CRTB): includes a repository of up-to-date climatic, geographical, social, and economic geospatial information which help identify the climate-related risk in any area of interest worldwide. To produce the climate risk maps, the different components of risk (hazard, exposure, vulnerability, and adaptive capacity) are aggregated based on the IPCC's risk conceptual framework used in the 6th Assessment Report (AR6) (IPCC, 2022). As a result, the obtained maps consider the overall climate risk for the baseline period, near-term (2021-40) and mid-term future (2041-60), respectively for a low emission scenario (Shared Socio-economic Pathway - SSP1-2.6) and a high emission scenario (SSP5-8.5).