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Uncertainty quantification and validation of combined hydrological and macroeconomic analyses.
Author(s) -
Jacquelynne Hernandez,
Mancel Parks,
Barbara J. Jennings,
Paul D. Kaplan,
Theresa Brown,
Stephen Conrad
Publication year - 2010
Language(s) - English
Resource type - Reports
DOI - 10.2172/1007318
Subject(s) - climate change , vulnerability (computing) , population , climate model , environmental resource management , environmental science , natural resource economics , economics , computer science , ecology , demography , computer security , sociology , biology
Changes in climate can lead to instabilities in physical and economic systems, particularly in regions with marginal resources. Global climate models indicate increasing global mean temperatures over the decades to come and uncertainty in the local to national impacts means perceived risks will drive planning decisions. Agent-based models provide one of the few ways to evaluate the potential changes in behavior in coupled social-physical systems and to quantify and compare risks. The current generation of climate impact analyses provides estimates of the economic cost of climate change for a limited set of climate scenarios that account for a small subset of the dynamics and uncertainties. To better understand the risk to national security, the next generation of risk assessment models must represent global stresses, population vulnerability to those stresses, and the uncertainty in population responses and outcomes that could have a significant impact on U.S. national security

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