Climate Informatics
The impacts of present and potential future climate change will be one of the most important scientific and societal challenges in the 21st century. Given observed changes in temperature, sea ice, and sea level, improving our understanding of the climate system is an international priority. This sys...
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ftnasantrs:oai:casi.ntrs.nasa.gov:20150000709 2023-05-15T18:18:14+02:00 Climate Informatics Niculescu-Mizil, Alexandru Smerdon, Jason E. Steinhaeuser, Karsten Alexander, Francis J. Banerjee, Arindam Schmidt, Gavin A. Monteleoni, Claire Tedesco, Marco Blumenthal, M. Benno Tippett, Michael Ganguly, Auroop R. Unclassified, Unlimited, Publicly available April 4, 2013 application/pdf http://hdl.handle.net/2060/20150000709 unknown Document ID: 20150000709 http://hdl.handle.net/2060/20150000709 Copyright, Distribution as joint owner in the copyright CASI Documentation and Information Science Meteorology and Climatology GSFC-E-DAA-TN19114 Computational Intelligent Data Analysis for Sustainable Development; 81-126 2013 ftnasantrs 2019-07-21T00:19:26Z The impacts of present and potential future climate change will be one of the most important scientific and societal challenges in the 21st century. Given observed changes in temperature, sea ice, and sea level, improving our understanding of the climate system is an international priority. This system is characterized by complex phenomena that are imperfectly observed and even more imperfectly simulated. But with an ever-growing supply of climate data from satellites and environmental sensors, the magnitude of data and climate model output is beginning to overwhelm the relatively simple tools currently used to analyze them. A computational approach will therefore be indispensable for these analysis challenges. This chapter introduces the fledgling research discipline climate informatics: collaborations between climate scientists and machine learning researchers in order to bridge this gap between data and understanding. We hope that the study of climate informatics will accelerate discovery in answering pressing questions in climate science. Other/Unknown Material Sea ice NASA Technical Reports Server (NTRS) |
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Open Polar |
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NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
Documentation and Information Science Meteorology and Climatology |
spellingShingle |
Documentation and Information Science Meteorology and Climatology Niculescu-Mizil, Alexandru Smerdon, Jason E. Steinhaeuser, Karsten Alexander, Francis J. Banerjee, Arindam Schmidt, Gavin A. Monteleoni, Claire Tedesco, Marco Blumenthal, M. Benno Tippett, Michael Ganguly, Auroop R. Climate Informatics |
topic_facet |
Documentation and Information Science Meteorology and Climatology |
description |
The impacts of present and potential future climate change will be one of the most important scientific and societal challenges in the 21st century. Given observed changes in temperature, sea ice, and sea level, improving our understanding of the climate system is an international priority. This system is characterized by complex phenomena that are imperfectly observed and even more imperfectly simulated. But with an ever-growing supply of climate data from satellites and environmental sensors, the magnitude of data and climate model output is beginning to overwhelm the relatively simple tools currently used to analyze them. A computational approach will therefore be indispensable for these analysis challenges. This chapter introduces the fledgling research discipline climate informatics: collaborations between climate scientists and machine learning researchers in order to bridge this gap between data and understanding. We hope that the study of climate informatics will accelerate discovery in answering pressing questions in climate science. |
format |
Other/Unknown Material |
author |
Niculescu-Mizil, Alexandru Smerdon, Jason E. Steinhaeuser, Karsten Alexander, Francis J. Banerjee, Arindam Schmidt, Gavin A. Monteleoni, Claire Tedesco, Marco Blumenthal, M. Benno Tippett, Michael Ganguly, Auroop R. |
author_facet |
Niculescu-Mizil, Alexandru Smerdon, Jason E. Steinhaeuser, Karsten Alexander, Francis J. Banerjee, Arindam Schmidt, Gavin A. Monteleoni, Claire Tedesco, Marco Blumenthal, M. Benno Tippett, Michael Ganguly, Auroop R. |
author_sort |
Niculescu-Mizil, Alexandru |
title |
Climate Informatics |
title_short |
Climate Informatics |
title_full |
Climate Informatics |
title_fullStr |
Climate Informatics |
title_full_unstemmed |
Climate Informatics |
title_sort |
climate informatics |
publishDate |
2013 |
url |
http://hdl.handle.net/2060/20150000709 |
op_coverage |
Unclassified, Unlimited, Publicly available |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
CASI |
op_relation |
Document ID: 20150000709 http://hdl.handle.net/2060/20150000709 |
op_rights |
Copyright, Distribution as joint owner in the copyright |
_version_ |
1766194742741172224 |