
NSF Org: |
EAR Division Of Earth Sciences |
Recipient: |
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Initial Amendment Date: | July 12, 1999 |
Latest Amendment Date: | July 12, 1999 |
Award Number: | 9901492 |
Award Instrument: | Standard Grant |
Program Manager: |
Lina Patino
lpatino@nsf.gov (703)292-5047 EAR Division Of Earth Sciences GEO Directorate for Geosciences |
Start Date: | September 1, 1999 |
End Date: | August 31, 2003 (Estimated) |
Total Intended Award Amount: | $72,000.00 |
Total Awarded Amount to Date: | $72,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
Arlington VA US 22230 |
Sponsor Congressional District: |
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Primary Place of Performance: |
Arlington VA US 22230 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | EDUCATION AND HUMAN RESOURCES |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.050 |
ABSTRACT
9901492
Harper
Dry snow is a porous material consisting of a complex aggregate of interlocking ice grains, air, and water vapor. Snow is an important component of the earth's climate, hydrological, and ecological systems, and consequently thermodynamic processes within snow have implications for understanding many greater problems such as climate reconstruction and snow-melt hydrology. The size, shape, and arrangement of bonded grain gives snow a complex and anisotropic structural texture. The geometry of this texture has been poorly documented with observation. The movement of heat and mass through snow is, therefore, currently difficult to estimate and model. The fellowship will address these issues through three main avenues of research: (1) observational investigations of the three-dimensional structure of snow, (2) documentation of the modes and heterogeneity of heat and mass flux within the observed three-dimensional framework, and (3) testing and improvement of models for thermodynamic processes by comparisons with observations. These objectives will be attained through field, laboratory, and computer modeling work to be conducted at the Institute of Arctic and Alpine Research and the Mountain Research Station, both at the University.
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