Assimilation of NASA's Airborne Snow Observatory Snow Measurements for Improved Hydrological Modeling: A Case Study Enabled by the Coupled LIS/WRF‐Hydro System

Details

• Journal Title:
  Water Resources Research
• Personal Author:
  Lahmers, Timothy M. ; Kumar, Sujay V. ; Rosen, Daniel ; Dugger, Aubrey ; Gochis, David J. ; Santanello, Joseph A. ; Gangodagamage, Chandana ; Dunlap, Rocky
• NOAA Program & Office:
  OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory)
• Description:
  The NASA LIS/WRF-Hydro system is a coupled modeling framework that combines the modeling and data assimilation (DA) capabilities of the NASA Land Information System (LIS) with the multi-scale surface hydrological modeling capabilities of the WRF-Hydro model, both of which are widely used in both operations and research. This coupled modeling framework builds on the linkage between land surface models (LSMs), which simulate surface boundary conditions in atmospheric models, and distributed hydrologic models, which simulate horizontal surface and sub-surface flow, adding new land DA capabilities. In the present study, we employ this modeling framework in the Tuolumne River basin in central California.
• Keywords:
  Water Science and Technology
• Source:
  Water Resources Research, 58(3)
• DOI:
  https://doi.org/10.1029/2021wr029867
• ISSN:
  0043-1397 ; 1944-7973
• Format:
  PDF
• Publisher:
  American Geophysical Union (AGU)
• Document Type:
  Journal Article
• License:
  https://creativecommons.org/licenses/by/4.0/
• Rights Information:
  CC BY
• Compliance:
  Library
• Main Document Checksum:
  urn:sha256:32483b61d9eebf0c6785400aef4a41579e19f46472a4667f6d522b664710ae72
• Download URL:
  https://repository.library.noaa.gov/view/noaa/53744/noaa_53744_DS1.pdf
• File Type:
  [PDF - 5.34 MB ]