Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, MD, USA
Rhae Sung Kim
Hydrological Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Goddard Earth Sciences Technology and Research II, University of
Maryland, Baltimore County, Baltimore, MD, USA
current address: Earth Prediction Innovation Center, National
Oceanic and Atmospheric Administration, Silver Spring, MD, and Science and
Technology Corporation, Hampton, VA, USA
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1,635
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PDF: 944
XML: 81
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EndNote: 164
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Cumulative views and downloads
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Total article views: 1,603 (including HTML, PDF, and XML)
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1,084
463
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1,603
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79
144
HTML: 1,084
PDF: 463
XML: 56
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Supplement: 81
BibTeX: 79
EndNote: 144
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Cumulative views and downloads
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Total article views: 1,057 (including HTML, PDF, and XML)
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551
481
25
1,057
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 2,660 (including HTML, PDF, and XML)
Thereof 2,570 with geography defined
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Total article views: 1,603 (including HTML, PDF, and XML)
Thereof 1,554 with geography defined
and 49 with unknown origin.
Total article views: 1,057 (including HTML, PDF, and XML)
Thereof 1,016 with geography defined
and 41 with unknown origin.
As a future snow mission concept, active microwave sensors have the potential to measure snow water equivalent (SWE) in deep snowpack and forested environments. We used a modeling and data assimilation approach (a so-called observing system simulation experiment) to quantify the usefulness of active microwave-based SWE retrievals over western Colorado. We found that active microwave sensors with a mature retrieval algorithm can improve SWE simulations by about 20 % in the mountainous domain.
As a future snow mission concept, active microwave sensors have the potential to measure snow...
