Mass-Conserving Downscaling of Climate Model Precipitation over Mountainous Terrain for Water Resource Applications

d583136
| DOI: 10.5065/2TDQ-FE83
 
Abstract:

A mass-conserving downscaling method has been developed to improve precipitation estimates from climate models over mountainous terrain, which is crucial for water resource management. This method adjusts precipitation based on sub-grid-scale topography and wind direction, then incorporates these adjusted values into a hydrological model to simulate runoff. The goal is to better represent the impact of mountains on precipitation and, consequently, improve water resource predictions in regions like the western US, where snowpack is a key water source. This dataset contains the parameters and set-up for a Variable Infiltration Capacity hydrological (VIC) model run along with the input and post-processed output from the model along with a python notebook to recreate the figures in the GRL paper of the same name.

Temporal Range:
1979-10-01 to 2009-09-30
Variables:
Freshwater Runoff Hourly Precipitation Amount Topographic Effects
Vertical Levels:
See the detailed metadata for level information.
Data Types:
Grid
Data Contributors:
UCAR/NCAR/RAL
Research Application Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Publications:
Rugg, A., E. D. Gutmann, R. R. McCrary, F. Lehner, A. J. Newman, J. H. Richter, M. R. Tye, and A. W. Wood, 2023: Mass-Conserving Downscaling of Climate Model Precipitation Over Mountainous Terrain for Water Resource Applications. Geophysical Research Letters, 50(20), e2023GL105326 (DOI: 10.1029/2023GL105326).
Total Volume:
54.21 GB
Data Formats:
HDF5/NetCDF4
Metadata Record:
Data License:
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