Mass-Conserving Downscaling of Climate Model Precipitation over Mountainous Terrain for Water Resource Applications
d583136
<p>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.</p>
dataset
https://gdex.ucar.edu/datasets/d583136/
protocol: https
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d583136/dataaccess/
protocol: https
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
CESM > NCAR Community Earth System Model
revision
2025-10-03
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT > HOURLY PRECIPITATION AMOUNT
EARTH SCIENCE > CLIMATE INDICATORS > TERRESTRIAL HYDROSPHERE INDICATORS > FRESHWATER RUNOFF
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TOPOGRAPHIC EFFECTS
revision
2025-10-03
1979-10-01
2009-09-30
publication
2023-08-03
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
function: download
pointOfContact
2025-10-09T01:32:44Z