Global 0.25-Degree Future Drought Layers (1980-2100) Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways (Historical, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5), Version 1

Overview

Droughts are a natural phenomenon with significant impact on society and the environment. Its frequency and severity are projected to increase toward the end of the century, which makes urgent the analysis of future droughts characteristics to inform stakeholders and to allow the investigation of its effects on different domains. In this study, we developed Future Global Drought Layers composed of SPI and SPEI indices for 23 GCMs of NEX-GDDP-CMIP6 dataset, including historical (1980-2014) data and 4 future projections (2015-2100) under four climate scenarios: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. The drought indices were calculated for 3-, 6- and 12-month timescales. The data is gridded in a regular latitude-longitude format, with a spatial resolution of 0.25ยบ (~25 km) and monthly time resolution.

Download

Download the Global Future Drought, Version 1 layers (xxMB/GB GeoTIFF files) below.

Table of files to be downloaded. TBD

Methods

Climate variables (precipitation, near-surface relative humidity, surface downwelling shortwave radiation, surface wind speed, near-surface air temperature, maximum near-surface air temperature and minimum near-surface air temperature) were obtained from the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) dataset Thrasher et al. (2022). The drought indices consist of the Standardized Precipitation Index (SPI, Mckee et. al., 1993) and the Standardized Precipitation Evapotranspiration Index (SPEI, Vincente-Serrano et. al., 2010). SPI is based on deviations from precipitation and on a parametric framework from gamma distribution (Mckee et. al., 1993). SPEI is based on deviations from precipitation minus potential evapotranspiration (PET) and on a parametric framework from Generalized Extreme Value (GEV) distribution (Stagge et al., 2015). PET was estimated through the Penman-Monteith (PM) method. Drought events were identified as time periods of negative SPI/SPEI that reaches a value of -1 or lower.

Citation

Data set:

Diogo S. A. Araujo and Efthymios I. Nikolopoulos, 2024. Global 0.25-Degree Future Drought Layers (1980-2100) Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways (Historical, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5), Version 1. (Preliminary Release). (Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/4es0-1v73. Accessed DAY MONTH YEAR.

Peer-reviewed publication:

Diogo S. A. Araujo, Brian J. Enquist, Amy E. Frazier, Cory Merow, Patrick R. Roehrdanz, Gabriel M. Moulatlet, Lei Song, Alex Zvoleff, Efthymios I. Nikolopoulos. Global Future Drought Layers Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways. In preparation.

Disclaimer

This is a preliminary open data release, pending peer review of the data and associated journal articles. Following the peer review process, data curation will be completed by the NASA Socioeconomic Data and Applications Center (SEDAC) and the data will be disseminated through the SEDAC catalog.