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Climate Informatics: Accelerating Discovering in Climate Science with Machine LearningThe goal of climate informatics, an emerging discipline, is to inspire collaboration between climate scientists and data scientists, in order to develop tools to analyze complex and ever-growing amounts of observed and simulated climate data, and thereby bridge the gap between data and understanding. Here, recent climate informatics work is presented, along with details of some of the field's remaining challenges. Given the impact of climate change, understanding the climate system is an international priority. The goal of climate informatics is to inspire collaboration between climate scientists and data scientists, in order to develop tools to analyze complex and ever-growing amounts of observed and simulated climate data, and thereby bridge the gap between data and understanding. Here, recent climate informatics work is presented, along with details of some of the remaining challenges.
Document ID
20140016776
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Monteleoni, Claire
(George Washington Univ. Washington, DC, United States)
Schmidt, Gavin A.
(NASA Goddard Inst. for Space Studies New York, NY United States)
McQuade, Scott
(George Washington Univ. Washington, DC, United States)
Date Acquired
November 26, 2014
Publication Date
January 1, 2014
Publication Information
Publisher: IEEE
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN15434
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
climate change
climate
priorities
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