Drought detection of the last century: An MRF-based approach

Qiang Fu; Arindam Banerjee; Stefan Liess; Peter K Snyder

doi:10.1137/1.9781611972825.3

Drought detection of the last century: An MRF-based approach

Qiang Fu, Arindam Banerjee, Stefan Liess, Peter K Snyder

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

18 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012
Publisher	Society for Industrial and Applied Mathematics Publications
Pages	24-34
Number of pages	11
ISBN (Print)	9781611972320
DOIs	https://doi.org/10.1137/1.9781611972825.3
State	Published - 2012
Event	12th SIAM International Conference on Data Mining, SDM 2012 - Anaheim, CA, United States Duration: Apr 26 2012 → Apr 28 2012

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Name	Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012

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Other	12th SIAM International Conference on Data Mining, SDM 2012
Country/Territory	United States
City	Anaheim, CA
Period	4/26/12 → 4/28/12

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1137/1.9781611972825.3

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Fu, Q., Banerjee, A., Liess, S., & Snyder, P. K. (2012). Drought detection of the last century: An MRF-based approach. In Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012 (pp. 24-34). (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012). Society for Industrial and Applied Mathematics Publications. https://doi.org/10.1137/1.9781611972825.3

Drought detection of the last century: An MRF-based approach. / Fu, Qiang; Banerjee, Arindam ; Liess, Stefan et al.
Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications, 2012. p. 24-34 (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fu, Q, Banerjee, A , Liess, S & Snyder, PK 2012, Drought detection of the last century: An MRF-based approach. in Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012, Society for Industrial and Applied Mathematics Publications, pp. 24-34, 12th SIAM International Conference on Data Mining, SDM 2012, Anaheim, CA, United States, 4/26/12. https://doi.org/10.1137/1.9781611972825.3

Fu Q, Banerjee A , Liess S , Snyder PK. Drought detection of the last century: An MRF-based approach. In Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012. Society for Industrial and Applied Mathematics Publications. 2012. p. 24-34. (Proceedings of the 12th SIAM International Conference on Data Mining, SDM 2012). doi: 10.1137/1.9781611972825.3

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Drought detection of the last century: An MRF-based approach

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