Published April 30, 2024
| Version v1
Dataset
Open
Daily climate and rainfall data for northern Cameroon 2020-2022, for use in SARRA-Py crop simulation model
Authors/Creators
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1.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
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2.
Territoires, Environnement, Télédétection et Information Spatiale
Description
This dataset contains daily rainfall and climate data for north Cameroon, that can be used as input of the SARRA-Py spatialized crop simulation model. This data can be directly put as input of SARRA-O model to perform computations and obtain simulation results.
The archive contains :
- AgERA5 (doi:10.24381/cds.6c68c9bb) climatic data for north Cameroon, with daily geotiff files for minimum, maximum, mean temperature (°C), reference evapotranspiration calculated with Hargraeves formula (mm), and solar radiation flux (kJ/m²/d) at 0.1° spatial resolution from 01/01/2020 to 31/12/2022
- CHIRPS v2.0 (doi:10.1038/sdata.2015.66) satellite rainfall estimation data for north Cameroon (mm), with daily geotiff files at 0.05° spatial resolution from 01/01/2020 to 31/12/2022
This data has been extracted from their original sources using the SARRA-data-downloader tool.
The applicable licences are the licences of the respective datasets.
Files
SARRA-Py_north_cameroon_2020_2022_example_data.zip
Files
(89.4 MB)
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md5:b0f3a092633b670dc276e3f0c1002d8d
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