Global CHIRPS MCWD (Maximum Cumulative Water Deficit) Dataset
- 1. National Institute for Space Research (INPE)
- 2. Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
Description
Global CHIRPS MCWD Dataset
The MCWD (Maximum Cumulative Water Deficit) is a measure of drought severity, which corresponds to the maximum value of the monthly accumulated water deficit reached for each pixel within the year. The MCWD is a useful indicator of meteorologically induced water stress without taking into account local soil conditions and plant adaptations, which are poorly understood in Amazonia. The full method of MCWD is described in Aragão et al. (2007; https://doi.org/10.1029/2006GL028946). Detail about CHIRPS (Rainfall Estimates from Rain Gauge and Satellite Observations) can be found in Funk et al. (2015; https://doi.org/10.1038/sdata.2015.66).
Coverage: Spanning 50°S-50°N (and all longitudes/land areas)
Period: 1981 to 2020
Spatial resolution: 0.05-degree
Temporal resolution: Annual
Coordinate reference system: Geographic Coordinate System (Datum WGS84)
File format: The zip file containing 40 files (one per year) in compressed TIFF format.
Code: https://zenodo.org/record/5034650
Dataset usage: It is free to use, but if you use this dataset in your work, please make sure to cite the repository and our paper properly. We also welcome users to invite us for collaboration.
For the use of this dataset, please cite:
Silva Junior, C.H.L. et al. Global CHIRPS MCWD (Maximum Cumulative Water Deficit) Dataset. Zenodo (2021). DOI: 10.5281/zenodo.4903340. https://doi.org/10.5281/zenodo.4903340
Silva Junior, C.H.L. et al. Fire Responses to the 2010 and 2015/2016 Amazonian Droughts. Front. Earth Sci. (2019). DOI: 10.3389/feart.2019.00097. https://doi.org/10.3389/feart.2019.00097
Funk, C. et al. The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes. Scientific Data (2015). DOI: 10.1038/sdata.2015.66. https://doi.org/10.1038/sdata.2015.66
Files
Global_MCWD_CHIRPS_1981-2020.zip
Files
(697.4 MB)
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Additional details
Related works
- Is supplement to
- Journal article: 10.3389/feart.2019.00097 (DOI)