dc.contributor.author |
McDonald, K. C. |
en_US |
dc.contributor.author |
Sridhar, V. |
en_US |
dc.contributor.author |
Lettenmaier, D. P. |
en_US |
dc.date.accessioned |
2004-09-17T07:05:50Z |
|
dc.date.available |
2004-09-17T07:05:50Z |
|
dc.date.issued |
2003-02-09 |
en_US |
dc.identifier.citation |
American Meterological Society, 17th Conference on Hydrology |
en_US |
dc.identifier.citation |
Long Beach, CA, USA |
en_US |
dc.identifier.clearanceno |
02-1751 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2014/9639 |
|
dc.description.abstract |
The use of remote sensing observations for hydrological purposes is of particular interest in high latitude environments where in situ observations are sparse. Spacebornescatterometer data have the potential for monitoring freeze/thaw transitions and associated processes, and have various attractive attributes including frequent overpasses and all-weather capability. |
en_US |
dc.format.extent |
2740492 bytes |
|
dc.format.mimetype |
application/pdf |
|
dc.language.iso |
en_US |
|
dc.subject.other |
seawinds Quikscat hydrologic process model |
en_US |
dc.title |
Comparison of SeaWinds scatterometer data with a hydrologic process model for the assessment of snow melt dynamics |
en_US |