Published July 16, 2025 | Version v1
Dataset Open

GHI and GHI_topo

  • 1. Universidade de Santiago de Compostela
  • 2. ROR icon Rutgers, The State University of New Jersey

Description

Files contain:

GHI (Global Humidity Index): Precipitation / Potential Evapotranspiration based on ERA5 data.

GHI_topo: Same as GHI, but adding hydrologic input from lateral groundwater flow and rivers+flooding to Precipitation.

Files

Files (5.4 GB)

Name Size Download all
md5:e35f92174d6a9aecb4bafb7ecdad88c3
56.9 MB Download
md5:3f0cea2af477477d8406e9172e7f4b20
628.3 MB Download
md5:daf5da96c1e293479e12f8cbb668b65b
200.6 MB Download
md5:79bb5fa6fdf9617b42128c8e84f2dea7
2.3 GB Download
md5:a0e174daac79d576fd061787423f6bbe
98.7 MB Download
md5:475448c12dc3fa47e30f688eac9e94cb
1.1 GB Download
md5:dea473396b1092ccd60f4db6eeda1052
26.3 MB Download
md5:6df76cf2bd1ad7821ad89289648f8bf9
305.3 MB Download
md5:233a06b469c0be4232abe409be274810
58.7 MB Download
md5:9fc8eca5d06a0ade9aa7e87a4b27404f
667.4 MB Download

Additional details

Software

Repository URL
https://github.com/gmiguez/ASAP-model
Programming language
Fortran