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CREST


Authors: Wang, Jiahu
Owners: Jeff Sadler · Edward Morgan
Resource type:Model Program Resource
Created:Jan. 19, 2017, 4:31 a.m.
Last updated: May 14, 2017, 3:35 a.m. by Edward Morgan

Abstract

The Coupled Routing and Excess STorage (CREST) distributed hydrological model is a hybrid modeling strategy that was recently developed by the University of Oklahoma (http://hydro.ou.edu) and NASA SERVIR Project Team. CREST simulates the spatiotemporal variation of water and energy fluxes and storages on a regular grid with the grid cell resolution being user-defined, thereby enabling global- and regional-scale applications. The scalability of CREST simulations is accomplished through sub-grid scale representation of soil moisture storage capacity (using a variable infiltration curve) and runoff generation processes (using linear reservoirs). The CREST model was initially developed to provide online global flood predictions with relatively coarse resolution, but it is also applicable at small scales, such as single basins. This README file and the accompanying code concentrates on and tests the model at the small scale. The CREST Model can be forced by gridded potential evapotranspiration and precipitation datasets such as, satellite-based precipitation estimates, gridded rain gauge observations, remote sensing platforms such as weather radar, and quantitative precipitation forecasts from numerical weather prediction models. The representation of the primary water fluxes such as infiltration and routing are closely related to the spatially variable land surface characteristics (i.e., vegetation, soil type, and topography). The runoff generation component and routing scheme are coupled, thus providing realistic interactions between atmospheric, land surface, and subsurface water.

Subject

continental,

How to cite

Wang, J. (2017). CREST, HydroShare, http://www.hydroshare.org/resource/969f511514f6441eb4c0c07c8a2ec74e

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

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

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone
Wang, Jiahu Center for Natural Hazard and Disaster Study, National Weather Center +1 (405) 325-3644
Content files
Software
Documentation

Software
Programming Language Fortran90
Operating System Unix, Linux
Version 2.1
Website http:// http://hydro.ou.edu/research/crest/

Name Value
Input Parameters DEM Precipitation Potential Evapotranspiration
Output Parameters CREST outputs consist of several variables, including: storage depths of the vegetation canopy, the three soil layers, and two linear reservoirs, relative change of the six reservoir levels representing actual evapotranspiration from the canopy and soil layers, overland and interflow excess rain, overland and interflow runoff.

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