Using machine learning for real-time estimates of snow water equivalent in the watersheds of Afghanistan
Edward H. Bair et al.
Related subject area
Discipline: Snow | Subject: Numerical ModellingSnow cover duration trends observed at sites and predicted by multiple modelsDeep ice layer formation in an alpine snowpack: monitoring and modelingChanging characteristics of runoff and freshwater export from watersheds draining northern Alaska
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Adam, J. C., Clark, E. A., Lettenmaier, D. P., and Wood, E. F.: Correction of global precipitation products for orographic effects, J. Climate, 19, 15–38, https://doi.org/10.1175/JCLI3604.1, 2006.
Bair, E. H., Dozier, J., Davis, R. E., Colee, M. T., and Claffey, K. J.: CUES – A study site for measuring snowpack energy balance in the Sierra Nevada, Front. Earth Sci., 3, 58, https://doi.org/10.3389/feart.2015.00058, 2015.
Bair, E. H., Rittger, K., Davis, R. E., Painter, T. H., and Dozier, J.: Validating reconstruction of snow water equivalent in California's Sierra Nevada using measurements from the NASA Airborne Snow Observatory, Water Resour. Res., 52, 8437–8460, https://doi.org/10.1002/2016WR018704, 2016.
Bair, E. H., Rittger, K., and Dozier, J.: Reconstructed SWE for MODIS tile h23v05, calendar years 2003–2012, data available at: ftp://ftp.snow.ucsb.edu/pub/org/snow/products/reconstruction/h23v05, last access: 1 June 2016.
Barrett, A.: National Operational Hydrologic Remote Sensing Center SNOw Data Assimiliation System (SNODAS) products at NSIDC, National Snow and Ice Data Center, Boulder, Special Report 11, 19, 2003.