RIME-X mask collection

This dataset contains regional aggregation mask files (NetCDF4, .nc4) for use as inputs to the Rapid Impact Model Emulator eXtended (RIME-X) (Schwind et al., 2026). Version 1 contains the masks also used to process the ISIMIP variables shown in the Climate Impact Explorer (CIE); we expect to add further masks in future versions. For each region (scientific regions, countries, provinces), three mask variables are provided: a latitude-weighting mask (latWeight) a GDP-2020 mask (gdp2020) a population-2020 mask (pop2020) latWeight is derived from the cosine of latitude, a standard proxy for grid-cell area on a regular lat-lon grid. The population mask uses year-2020 gridded population data from WorldPop, described in Lloyd et al.(2019). The GDP mask uses year-2020 gridded GDP data from Kummu et al.(2025).Regional boundaries come from GADM version 3.6 shapefiles for countries and provinces, and from the regionmask package API for scientific regions. A few notes on how the masks were built: A small number of manual edits were applied, e.g., separating France from its overseas regions. The country masks are based on a dataset published in 2018, so some administrative boundaries may be outdated (e.g., the provinces of Pakistan). The masks are fractional: at border grid cells, GDP or population is weighted by the fraction of the grid cell’s area that falls within the region. For disputed borders, the masks generally follow the German government’s position from 2021. Files are currently under restricted access pending internal review. Please contact the depositor to request access. Use at your own risk!