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Theoretical and Applied Climatology

, Volume 117, Issue 3–4, pp 441–448 | Cite as

Global trends and patterns of drought from space

  • Lisa Damberg
  • Amir AghaKouchakEmail author
Original Paper

Abstract

This paper analyzes changes in areas under droughts over the past three decades and alters our understanding of how amplitude and frequency of droughts differ in the Southern Hemisphere (SH) and Northern Hemisphere (NH). Unlike most previous global-scale studies that have been based on climate models, this study is based on satellite gauge-adjusted precipitation observations. Here, we show that droughts in terms of both amplitude and frequency are more variable over land in the SH than in the NH. The results reveal no significant trend in the areas under drought over land in the past three decades. However, after investigating land in the NH and the SH separately, the results exhibit a significant positive trend in the area under drought over land in the SH, while no significant trend is observed over land in the NH. We investigate the spatial patterns of the wetness and dryness over the past three decades, and we show that several regions, such as the southwestern United States, Texas, parts of the Amazon, the Horn of Africa, northern India, and parts of the Mediterranean region, exhibit a significant drying trend. The global trend maps indicate that central Africa, parts of southwest Asia (e.g., Thailand, Taiwan), Central America, northern Australia, and parts of eastern Europe show a wetting trend during the same time span. The results of this satellite-based study disagree with several model-based studies which indicate that droughts have been increasing over land. On the other hand, our findings concur with some of the observation-based studies.

Keywords

Northern Hemisphere Southern Hemisphere Standardize Precipitation Index Extreme Drought Palmer Drought Severity Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to thank the editor and reviewers for their thoughtful comments and suggestions on an earlier draft of this paper. This study is supported by the National Science Foundation (NSF, award no. EAR-1316536) and the United States Bureau of Reclamation (USBR, award no. R11AP81451).

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Copyright information

© Springer-Verlag Wien 2013

Authors and Affiliations

  1. 1.University of California IrvineIrvineUSA

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