Award Abstract # 0531485
Understanding the Dynamic Land-Atmosphere System: Multiple Equilibrium States and Climate Variability

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: UNIVERSITY OF CONNECTICUT
Initial Amendment Date: July 25, 2005
Latest Amendment Date: September 3, 2009
Award Number: 0531485
Award Instrument: Standard Grant
Program Manager: Liming Zhou
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: September 1, 2005
End Date: August 31, 2010 (Estimated)
Total Intended Award Amount: $0.00
Total Awarded Amount to Date: $365,347.00
Funds Obligated to Date: FY 2005 = $365,347.00
History of Investigator:
  • Guiling Wang (Principal Investigator)
    gwang@engr.uconn.edu
Recipient Sponsored Research Office: University of Connecticut
438 WHITNEY RD EXTENSION UNIT 1133
STORRS
CT  US  06269-9018
(860)486-3622
Sponsor Congressional District: 02
Primary Place of Performance: University of Connecticut
438 WHITNEY RD EXTENSION UNIT 1133
STORRS
CT  US  06269-9018
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): WNTPS995QBM7
Parent UEI:
NSF Program(s): Climate & Large-Scale Dynamics
Primary Program Source: app-0105 
Program Reference Code(s): 0000, OTHR
Program Element Code(s): 574000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Several modeling studies indicate that terrestrial biosphere-atmosphere interactions may give rise to the existence of multiple equilibria in the Earth's climate system. However, diagnosing whether multiple equilibrium states exist in global climate system models and why they exist where they do is extremely challenging; the impact of multiple equilibria on the long-term variability and changes of regional-global climates is not well understood. The research objectives of this project are to two-fold: first, to understand the mechanisms responsible for the existence of multiple biosphere-atmosphere equilibria in certain climate models and over certain regions; second, to understand the natural variability of regional climate systems that do possess multiple equilibrium states.

Intellectual merit. Based on a conceptual dynamical model for vegetation-precipitation interactions, the PI develops four hypotheses. These hypotheses will be evaluated using a global circulation model developed by the National Center for Atmospheric Research and models that will be derived from it by changing the quantification of certain properties or changing the parameterization of certain processes within the model. Completion of this work will offer new insights into:

1. The existence of multiple equilibrium states in the global biosphere-atmosphere system as simulated by global general circulation models, and
2. An improved understanding of climate variability, climate changes, and their model dependence.

Broader impacts. The research will provide a better understanding about how a system with multiple equilibria behaves, which may increase the ability of affected populations to adapt to and mitigate the impact of potential climate transitions between different equilibria. This project provides learning experiences and training for undergraduate and graduate-level students in the field of climate system modeling and climate-vegetation interactions.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Alo CA, Wang GL "Impact of vegetation feedback on regional climate prediction in West Africa" Climate Dynamics , 2010 DOI: 10.1007/s00383-010-0744-z
Rui M, Wang GL "Rain follows the logging? Interpretation of results from CAM3-CLM3" Climate Dynamics , 2009
Rui M, Wang GL "Rain follows the logging? Interpretation of results from CAM3-CLM3" Climate Dynamics , v.34 , 2010 , p.983
Wang GL, Alo CA, Mei R, Sun SS "Droughts, hydraulic redistribution, and their impacts on plant composition in the Amazon forests" Plant Ecology , 2010 10.1007/s11258-010-9860-4
Xiaoming Sun and Guiling Wang "Comparing the ability of a genetic algorithm based clustering analysis and a physically based dynamic vegetation model to predict vegetation distribution" JGR Biogeosciences , v.113 , 2008 10.1029/2007JG000655

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