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Recently, Mu et al. (2013)   compiled an open access database ofa remotely sensed global drought severity index (DSI) based on MODIS (Moderate Resolution ImagingSpectroradiometer)satellite measurements covering a continuous period of 12 years. The highestspatial resolution is 0.05° × 0.05° in thegeographic band between 60° S and 80° N latitudes (more than 4.9million locations over land). Here we present a global trend analysis of thesesatellite-based DSI time series in order to identifygeographic locations where either positive or negative trends are statisticallysignificant. Our main result is that 17.34 % of land areasexhibit significant trends of drying or wetting, and these sitesconstitute geographically connected regions. Since a DSI value conveyslocal characterization at a given site,we argue that usual field significance tests cannot provide moreinformation about the observations than the presented analysis.The relatively short period of 12 years hinders linking the trends   to globalclimate change; however, we  think that the observations might be related to slow(decadal) modes of natural climate variability or anthropogenic impacts

Global trend analysis of the MODIS drought severity index