DocumentCode
104299
Title
Climate Informatics: Accelerating Discovering in Climate Science with Machine Learning
Author
Monteleoni, Claire ; Schmidt, Gavin A. ; McQuade, Scott
Author_Institution
George Washington Univ., Washington, DC, USA
Volume
15
Issue
5
fYear
2013
fDate
Sept.-Oct. 2013
Firstpage
32
Lastpage
40
Abstract
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.
Keywords
climate mitigation; geophysics computing; learning (artificial intelligence); climate change; climate informatics; climate science; machine learning; Atmospheric measurements; Climate change; Informatics; Machine learning; Meteorology; climate informatics; climate science; data mining; machine learning; statistics;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2013.50
Filename
6531616
Link To Document