A generator for Trail Sense which generates Earth models such as historic temperatures and geoids.
generate-temperature-model.py: The script to generate the global temperature model. This will generate 8 WEBP files in the output directory for the min/max monthly temperatures. Resolution is 576x361.
generate-humidity-model.py: The script to generate the global humidity model. This will generate 4 WEBP files in the output directory for the monthly humidity. Resolution is 576x361.
generate-geoid-model.py: The script to generate the geoid model. This will generate 1 WEBP file in the output directory. Resolution is 361x181.
Climatic Research Unit (University of East Anglia) and Met Office (https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.07/). Listed under the Open Government Licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
Global Modeling and Assimilation Office (GMAO) (2015), MERRA-2 statM_2d_slv_Nx: 2d,Monthly,Aggregated Statistics,Single-Level,Assimilation,Single-Level Diagnostics V5.12.4, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: 2023-05-22, 10.5067/KVIMOMCUO83U
NOAA National Centers for Environmental Information. 2022: ETOPO 2022 15 Arc-Second Global Relief Model. NOAA National Centers for Environmental Information. https://doi.org/10.25921/fd45-gt74 . Accessed 2023-05-26. ETOPO 2022 metadata may be accessed here: ETOPO 2022 metadata landing page
Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.
Contains modified Copernicus Climate Change Service information 1991 - 2020. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 monthly averaged data on pressure levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: 10.24381/cds.6860a573 (Accessed on 17-NOV-2023)