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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 30 / No. 1: Thirtieth AAAI Conference On Artificial Intelligence

Understanding Dominant Factors for Precipitation over the Great Lakes Region

March 8, 2023

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Authors

Soumyadeep Chatterjee

University of Minnesota, Twin Cities


Stefan Liess

University of Minnesota, Twin Cities


Arindam Banerjee

University of Minnesota, Twin Cities


Vipin Kumar

University of Minnesota, Twin Cities


DOI:

10.1609/aaai.v30i1.9905


Abstract:

Statistical modeling of local precipitation involves understanding local, regional and global factors informative of precipitation variability in a region. Modern machine learning methods for feature selection can potentially be explored for identifying statistically significant features from pool of potential predictors of precipitation. In this work, we consider sparse regression, which simultaneously performs feature selection and regression, followed by random permutation tests for selecting dominant factors. We consider average winter precipitation over Great Lakes Region in order to identify its dominant influencing factors.Experiments show that global climate indices, computed at different temporal lags, offer predictive information for winter precipitation. Further, among the dominant factors identified using randomized permutation tests, multiple climate indices indicate the influence of geopotential height patterns on winter precipitation.Using composite analysis, we illustrate that certain patterns are indeed typical in high and low precipitation years, and offer plausible scientific reasons for variations in precipitation.Thus, feature selection methods can be useful in identifying influential climate processes and variables, and thereby provide useful hypotheses over physical mechanisms affecting local precipitation.

Topics: AAAI

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HOW TO CITE:

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar Understanding Dominant Factors for Precipitation over the Great Lakes Region Proceedings of the AAAI Conference on Artificial Intelligence, 30 (2016) .

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar Understanding Dominant Factors for Precipitation over the Great Lakes Region AAAI 2016, .

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar (2016). Understanding Dominant Factors for Precipitation over the Great Lakes Region. Proceedings of the AAAI Conference on Artificial Intelligence, 30, .

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar. Understanding Dominant Factors for Precipitation over the Great Lakes Region. Proceedings of the AAAI Conference on Artificial Intelligence, 30 2016 p..

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar. 2016. Understanding Dominant Factors for Precipitation over the Great Lakes Region. "Proceedings of the AAAI Conference on Artificial Intelligence, 30". .

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar. (2016) "Understanding Dominant Factors for Precipitation over the Great Lakes Region", Proceedings of the AAAI Conference on Artificial Intelligence, 30, p.

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar, "Understanding Dominant Factors for Precipitation over the Great Lakes Region", AAAI, p., 2016.

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar. "Understanding Dominant Factors for Precipitation over the Great Lakes Region". Proceedings of the AAAI Conference on Artificial Intelligence, 30, 2016, p..

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar. "Understanding Dominant Factors for Precipitation over the Great Lakes Region". Proceedings of the AAAI Conference on Artificial Intelligence, 30, (2016): .

Soumyadeep Chatterjee|| Stefan Liess|| Arindam Banerjee|| Vipin Kumar. Understanding Dominant Factors for Precipitation over the Great Lakes Region. AAAI[Internet]. 2016[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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