Award Abstract # 0649666
Structure and Mechanisms of Great Plains Hydroclimate Variability

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: UNIVERSITY OF MARYLAND, COLLEGE PARK
Initial Amendment Date: March 19, 2007
Latest Amendment Date: March 4, 2010
Award Number: 0649666
Award Instrument: Continuing Grant
Program Manager: Anjuli Bamzai
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: April 1, 2007
End Date: March 31, 2012 (Estimated)
Total Intended Award Amount: $601,090.00
Total Awarded Amount to Date: $676,431.00
Funds Obligated to Date: FY 2007 = $143,697.00
FY 2008 = $151,814.00

FY 2009 = $225,530.00

FY 2010 = $155,390.00
History of Investigator:
  • Sumant Nigam (Principal Investigator)
    nigam@umd.edu
Recipient Sponsored Research Office: University of Maryland, College Park
3112 LEE BUILDING
COLLEGE PARK
MD  US  20742-5100
(301)405-6269
Sponsor Congressional District: 04
Primary Place of Performance: University of Maryland, College Park
3112 LEE BUILDING
COLLEGE PARK
MD  US  20742-5100
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): NPU8ULVAAS23
Parent UEI: NPU8ULVAAS23
NSF Program(s): Climate & Large-Scale Dynamics
Primary Program Source: app-0107 
01000809DB NSF RESEARCH & RELATED ACTIVIT

01000910DB NSF RESEARCH & RELATED ACTIVIT

01001011DB NSF RESEARCH & RELATED ACTIVIT
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

The project is designed to examine the source of hydroclimate variability over the U.S. Great Plains. The contributions of various phenomena ( teleconnection of Pacific and Atlantic sea surface temperatures and the memory inherent in the land surface of North America) to this variability will be investigated through modeling studies. The work begins with an examination of observations and analysis products (atmospheric reanalyses and land surface analyses) to determine the observed modes of variability that may hint at causes. A hierarchy of methods will be applied, from statitical analyses to simplified (diagnostic primitive equation) modeling, and ultimately full climate model simulations. But the main premise, stemming from recent analysis work by the PIs, is that most climate models severely overestimate the strength of the hydrologic cycle over the Great Plains due to errors in model thermodynamics and physics. The National Center for Atmospheric Research (NCAR) Community Climate System Model (CCSM3) will be the testbed for model forcing refinements based on the analyses. The ultimate goal is to improve climate predictions for this region. A graduate student will be supported.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 38)
A. Ruiz-Barradas and S. Nigam "Great Plains Precipitation and its SST Links in 20th Century Climate Simulations, and 21st and 22nd Century Climate Projections." Journal of Climate , v.23 , 2010 , p.6409
A. Ruiz-Barradas and S. Nigam "Great Plains Precipitation and its SST Links in 20th Century Climate Simulations, and 21st and 22nd Century Climate Projections." Journal of Climate , v.23 , 2010 , p.6409
A. Ruiz-Barradas and S. Nigam "SST - North American hydroclimate links in AMIP simulations of the Drought Working Group models: A proxy for the idealized drought modeling experiments." Journal of Climate , v.23 , 2010 , p.2585
B. Guan and S. Nigam "Analysis of Atlantic SST variability factoring inter-basin links and the secular trend: Clarified structure of the Atlantic Multidecadal Oscillation." Journal of Climate , v.22 , 2009 , p.4228
Bollasina, M., S. Nigam, and K.-M. Lau, "Absorbing aerosols and summer monsoon evolution over South Asia: An observational portrayal." Journal of Climate , v.21 , 2008 , p.3221
Bollasina, M., S. Nigam, and K.-M. Lau, "Absorbing aerosols and summer monsoon evolution over South Asia: An observational portrayal." Journal of Climate , v.21 , 2008 , p.3221
Chang, C-Y., J. A. Carton, S. A. Grodsky, and S. Nigam "Seasonal climate of the Tropical Atlantic sector in the NCAR Community Climate System Model 3: Error structure and probable causes of errors" Journal of Climate , v.20 , 2007 , p.1053
Chang, C-Y., J. A. Carton, S. A. Grodsky, and S. Nigam "Seasonal climate of the Tropical Atlantic sector in the NCAR Community Climate System Model 3: Error structure and probable causes of errors" Journal of Climate , v.20 , 2007 , p.1053
Chang, C-Y., S. Nigam, and J. A. Carton "Origin of the Spring-time westerly bias in equatorial Atlantic surface winds in the CAM3 model simulation" Journal of Climate , v.21 , 2008 , p.4766
Chang, C-Y., S. Nigam, and J. A. Carton "Origin of the Spring-time westerly bias in equatorial Atlantic surface winds in the CAM3 model simulation" Journal of Climate , v.21 , 2008 , p.4766
Guan, B., and S. Nigam "Pacific Sea Surface Temperatures in the Twentieth Century: An Evolution-Centric Analysis of Variability and Trend" Journal of Climate , v.21 , 2008
(Showing: 1 - 10 of 38)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The project has advanced understanding and modeling of hydroclimate variability over the Great Plains of the United States during the agriculturally important summer season. Societal interest in regional hydroclimate (rainfall, soil moisture, surface temperature, streamflow, drought indices) is intense and growing for it impacts personal well-being as well as the agriculture and food security of the nation.

The seasonal rhythms forced by the annual march of the Sun are predictable but hydroclimate evolution seldom follows the climatological track: Departures from the seasonal-cycle, or anomalies, are of key interest from the societal impact and climate prediction perspectives. The project thus focused on the structure and causes of summer hydroclimate anomalies over the US Great Plains – a major granary of our planet. This region is however prone to both long-term and short-term droughts, e.g., the decade-long Dust Bowl drought of the 1930s and the short drought of 1988; a severe drought is developing this summer as well.

Prior to the initiation of project research, summer rainfall anomalies over the Great Plains were thought to result more from the local moisture sources than the remote ones; this assessment had been reached from modeling studies of land-atmosphere interaction. Observationally-rooted project analysis however showed these rainfall anomalies to be generated in good measure by moisture transports from the Gulf of Mexico through anomalous strengthening/weakening of the Great Plains Low Level Jet (concentrated northward flow from the Gulf of Mexico towards the continental interior at a height of approximately 1Km carrying copious amounts of moisture). The jet fluctuations were moreover shown to be connected to sea surface temperature (SST) variations in the Pacific and Atlantic basins, especially the latter; laying the foundation for the observation-based reconstruction of the notable droughts of the 20th century.

The project analysis showed the Atlantic SSTs to be especially influential in forcing multi-year droughts; often, more than the Pacific ones. Atlantic Multidecadal Variability, in particular, contributed substantially to two of the four reconstructed episodes. More importantly, the SST influence on droughts was shown to be more extensive and significant in nature than in current climate models; the Atlantic’s influence, in particular, was found significantly underrepresented in the present-day models. 

The project findings are encouraging for the initiation of experimental prediction of multi-year droughts (and wet-spells) over the Great Plains from observationally-rooted statistical models. They also indicate that the widely referenced La Nina–US Drought paradigm is of limited relevance for the multi-year warm-season droughts over North America.


Last Modified: 08/12/2012
Modified by: Sumant Nigam

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