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2012
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Drought Detection of the Last Century: An MRF-based Approach

8 years 6 months ago
Drought Detection of the Last Century: An MRF-based Approach
Droughts are one of the most damaging climate-related hazards. The late 1960s Sahel drought in Africa and the North American Dust Bowl of the 1930s are two examples of severe droughts that have an impact on society and the environment. Due to the importance of understanding droughts, we consider the problem of their detection based on gridded datasets of precipitation. We formulate the problem as the one of finding the most likely configuration of a Markov Random Field and propose an efficient inference algorithm. We apply this algorithm to the Climate Research Unit precipitation dataset spanning 106 years. The empirical results show that the algorithm successfully identifies the major droughts of the twentieth century in different regions of the world.
Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K.
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where SDM
Authors Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K. Snyder
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