COLLABORATIVE RESEARCH: QUANTIFYING FEEDBACKS AFFECTING HIGH ALTITUDE CLIMATE CHANGE
National Science Foundation
MILLER, JAMES R
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
This project will combine surface-based and satellite observations with climate model simulations and a neural network analysis scheme to (1) quantify some of the principal relationships that contribute to feedbacks on temperature in high altitude regions, and (2) investigate how these relationships and feedbacks might change through the 21st century in response to increasing atmospheric greenhouse gases. The focus will be on the Tibetan Plateau and the Rocky Mountains in southwestern Colorado. The neural network analysis calculates partial derivatives between pairs of climate variables (e.g., downward longwave radiation and cloud cover) so that the strength of the various links in a feedback loop can be determined.
Broader impacts of this work include: (1) The neural network can be applied in other regions and can enable researchers to quantify important feedbacks in the climate system and analyze non-linear processes; (2) By combining surface-based and satellite observations, a new spatially and temporally expanded observational data base will be available to the research community; (3) A better understanding of climate change in mountain regions will benefit the public by improving management practices that affect the future of water resources, agriculture, tourism, and ecosystems in high altitude regions; (4) A high-school teacher will be supported to work with the investigators to help develop and implement podcasts on mountains and climate change; (5) There will be training for a postdoctoral fellow and undergraduates; and (6) Educational materials will be developed in collaboration with the Mountain Studies Institute in Colorado.
City: NEW BRUNSWICK
Country: UNITED STATES
Award Notice Date: 12-Jul-2011
Project Start Date: 15-Jul-2011
Budget Start Date:
Project End Date: 30-Jun-2014
Budget End Date:
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National Science Foundation
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