Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2259-2022
https://doi.org/10.5194/essd-14-2259-2022
Data description paper
 | 
12 May 2022
Data description paper |  | 12 May 2022

A global drought dataset of standardized moisture anomaly index incorporating snow dynamics (SZIsnow) and its application in identifying large-scale drought events

Lei Tian, Baoqing Zhang, and Pute Wu

Data sets

A Global Dataset of Standardized Moisture Anomaly Index Incorporating Snow Dynamics (SZIsnow) from 1948 to 2010 Pute Wu, Lei Tian, and Baoqing Zhang https://doi.org/10.5281/zenodo.5627369

A Global Dataset of Standardized Moisture Anomaly Index Incorporating Snow Dynamics (SZIsnow) from 1948 to 2010 Pute Wu, Lei Tian, and Baoqing Zhang http://data.tpdc.ac.cn/en/data/b039fde6-face-4d24-af45-d238a6af18b7/

Download
Short summary
We propose a global monthly drought dataset with a resolution of 0.25° from 1948 to 2010 based on a multitype and multiscalar drought index, the standardized moisture anomaly index adding snow processes (SZIsnow). The consideration of snow processes improved its capability, and the improvement is prominent over snow-covered high-latitude and high-altitude areas. This new dataset is well suited to monitoring, assessing, and characterizing drought and is a valuable resource for drought studies.
Altmetrics
Final-revised paper
Preprint