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The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using the CUDA GPU


An older version of this resource https://doi.org/10.4211/hs.d31117430c234a67950823335b17fdb1 is available.
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Created: Nov 25, 2019 at 2:35 a.m.
Last updated: Nov 25, 2019 at 3:11 a.m.
DOI: 10.4211/hs.82a2ba1a767742cca39d4959f10b2a9e
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Abstract

The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using CUDA GPU.

This is the model used in the following paper
Gichamo, T. Z., & Tarboton, D. G. (2019). Ensemble streamflow forecasting using an energy balance snowmelt model coupled to a distributed hydrologic model with assimilation of snow and streamflow observations. Water Resources Research, 55. https://doi.org/10.1029/2019WR025472

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Content

Readme.txt

The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using CUDA GPU.

Source code is in the file hl-rdhm-release-3.5.10_withUEBgpu_DA.zip 
Unzip this file to get directories with source files for the multiple components of the RDHM. 

The majority of these components were developed by others, primarily at the National Weather Service Hydrology Laboratory, and are provided for completeness. 

There are configure and make files in the directory for each module, with build instructions in "rdhm_developers_manual.pdf" from the National Weather Service (NWS).

The directories with names beginning with "ueb" hold code for our implementations of UEB in the RDHM framework.

The folder "uebDAsrPF" contains source codes for the coupled UEB + SAC-SMA + rutpix7 component using CUDA GPU. This version employs Ensemble Kalman Filter (EnKF) snow data assimilation and Particle Filter (PF) streamflow assimilation. 

The folder "uebDAsacrutpix7" contains source codes for the coupled models as in "uebDAsrPF" but with only snow data assimilation using EnKF.

The folder "ueb" has codes for the UEB model without data assimilation. 

Additional Metadata

Name Value
MIGRATED_FROM Model Program Resource

Related Resources

This resource updates and replaces a previous version Tarboton, D. G., T. Z. Gichamo (2019). The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using the CUDA GPU, HydroShare, https://doi.org/10.4211/hs.d31117430c234a67950823335b17fdb1
This resource is described by Gichamo, T. Z., & Tarboton, D. G. (2019). Ensemble streamflow forecasting using an energy balance snowmelt model coupled to a distributed hydrologic model with assimilation of snow and streamflow observations. Water Resources Research, 55. https://doi.org/10.1029/2019WR025472

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NASA Advancing Water Supply Forecasts in The Colorado River Basin for Improved Decision Making NNH15CM90C

How to Cite

Tarboton, D. G., T. Z. Gichamo (2019). The Utah Energy Balance (UEB) Snowmelt Model Coupled to the Research Distributed Hydrologic Model (RDHM) with Parallel Processing using the CUDA GPU, HydroShare, https://doi.org/10.4211/hs.82a2ba1a767742cca39d4959f10b2a9e

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

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