Quantifying the Likelihood of Regional Climate Change: A Hybridized Approach
The growing need for risk-based assessments of impacts and adaptation to climate change calls for increased capability in climate projections: specifically, the quantification of the likelihood of regional outcomes and the representation of their uncertainty. Herein, the authors present a technique...
Main Authors: | Gao, Xiang (Contributor), Forest, Chris E. (Author), Awadalla, Sirein (Contributor), Farmer, William (Author), Schlosser, Adam (Contributor), Strzepek, Kenneth Marc (Contributor), Sokolov, Andrei P. (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Center for Global Change Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
American Meteorological Society,
2013-12-09T17:54:23Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Regional climate change of the greater Zambezi River Basin: a hybrid assessment
by: Strzepek, Kenneth Marc, et al.
Published: (2016) -
Wetland model in an earth systems modeling framework for regional environmental policy analysis
by: Awadalla, Sirein Salah
Published: (2011) -
Long-Term Climate Change Commitment and Reversibility: An EMIC Intercomparison
by: Forest, Chris E., et al.
Published: (2014) -
An integrated assessment modeling framework for uncertainty studies in global and regional climate change: the MIT IGSM-CAM (version 1.0)
by: Monier, Erwan, et al.
Published: (2014) -
A framework for modeling uncertainty in regional climate change
by: Monier, Erwan, et al.
Published: (2016)