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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 5
Hydrol. Earth Syst. Sci., 23, 2439-2459, 2019
https://doi.org/10.5194/hess-23-2439-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 2439-2459, 2019
https://doi.org/10.5194/hess-23-2439-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 May 2019

Research article | 21 May 2019

Using MODIS estimates of fractional snow cover area to improve streamflow forecasts in interior Alaska

Katrina E. Bennett et al.
Data sets

MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid, Version 6. Snow Cover. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center D. K. Hall and G. A. Riggs https://doi.org/10.5067/MODIS/MOD10A1.006

National Water Information System data available on the World Wide Web U.S. Geological Survey https://waterdata.usgs.gov/nwis/rt

Snow Water Equivalent (SWE) and Snow Depth Products National Resources Conservation Service https://www.wcc.nrcs.usda.gov/snow/snotel-wereports.html

Publications Copernicus
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Short summary
Remotely sensed snow observations may improve operational streamflow forecasting in remote regions, such as Alaska. In this study, we insert remotely sensed observations of snow extent into the operational framework employed by the US National Weather Service’s Alaska Pacific River Forecast Center. Our work indicates that the snow observations can improve snow estimates and streamflow forecasting. This work provides direction for forecasters to implement remote sensing in their operations.
Remotely sensed snow observations may improve operational streamflow forecasting in remote...
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