Annual precipitation — SSP3-7.0 2071-2100 (CHELSA)
This layer maps projected total annual precipitation for the late-century period 2071–2100 under a high-emissions future.
Category: Physical risks · Mitigating services · Climate Chronic Risks · 2071-2100 Coverage: Global Format: Raster grid (~2 km) Used in risk analysis: No (contextual layer; not used in materiality scoring)
What it shows
This layer maps projected total annual precipitation for the late-century period 2071–2100 under a high-emissions future. It shows where rainfall is expected to increase or decrease relative to the historical baseline. As a forward-looking view of changing water availability, it helps anticipate where drying or wetting may stress ecosystems, water supply and agriculture.
How it is built
The source is the CHELSA high-resolution climatology (version 2.1), one of its standard bioclimatic measures, here in its future-projection form. It describes total annual precipitation averaged over 2071–2100 under the SSP3-7.0 high-emissions scenario, downscaled from a single climate model (MPI-ESM1-2-HR) at roughly a 2 km grid. As a projection from one model under one scenario, it should be read as an indicative future, not a precise forecast.
How to read it
Values are projected precipitation totals: higher values mark wetter projected conditions and lower values drier ones. The layer is most informative when compared against the 1981–2010 baseline precipitation layer to reveal the direction and scale of expected change at a site.
Source
CHELSA-CMIP6 version 2.1 (Karger et al.), open licence.
Comparison with the WWF Risk Filter Suite
There is no equivalent indicator in the WWF Risk Filter Suite. This is a forward-looking climate-scenario variant; the WWF Suite publishes present-day indicators rather than late-century bioclimatic projections, so it has no distinct WWF counterpart and is a Darwin extension of the chronic-climate theme.
Legend
Symbolised field: Annual precipitation
Generated from darwin/layers/layer-chelsa-precip_annual-ssp370.toml and risk_indicator_pairs.toml (develop).