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Drought Detection on Large Scale Precipitation Datasets: A Parallel Algorithm

By Qiang Fu, Huahua Wang, Arindam Banerjee, Stefan Liess and Peter Snyder


Droughts are one of the most damaging climate-related hazards and the consequences are often abrupt, severe and potentially catastrophic to both society and the environment. Even though the importance of understanding droughts cannot be overstated, there are few rigorous and systematic tools to detect them. In this work, we propose a drought detection algorithm based on the well studied Markov Random Field (MRF

Year: 2013
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