Model:CREST

CREST

Metadata

Also known as
Model type	Single
Model part of larger framework
Note on status model
Date note status model

Incorporated models or components:

Spatial dimensions	2D
Spatial extent	Continental, Regional-Scale
Model domain	Hydrology
One-line model description	The Coupled Routing and Excess STorage (CREST) model is a distributed hydrologic model developed to simulate the spatial and temporal variation of atmospheric, land surface, and subsurface water fluxes and storages by cell-to-cell simulation.
Extended model description	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.

Keywords:	continental,

Name	Jiahu Wang
Type of contact	Technical contact
Institute / Organization	University of Oklahoma
Postal address 1	Center for Natural Hazard and Disaster Study, National Weather Center Suite 3630
Postal address 2
Town / City	Norman
Postal code	73019
State	Oklahoma
Country	United States
Email address	yanghong@ou.edu
Phone	+1-405-325-3644
Fax

Supported platforms	Unix, Linux
Other platform
Programming language	Fortran90
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2008
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status	Active
When did you indicate the 'code development status'?	2020
Model availability	As code
Source code availability (Or provide future intension)	Through web repository
Source web address	http://hydro.ou.edu/research/crest/
Source csdms web address
Program license type	Other
Program license type other	--
Memory requirements	--
Typical run time	--

Describe input parameters	Input parameters: DEM Precipitation Potential Evapotranspiration
Input format	ASCII, Binary
Other input format
Describe 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.
Output format	ASCII
Other output format
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	Yes
If above answer is yes	ESRI
Other visualization software

Describe processes represented by the model	Processes represented by CREST are: Canopy interception, excess rain and infiltration water, runoff, evapotranspiration
Describe key physical parameters and equations	--
Describe length scale and resolution constraints	--
Describe time scale and resolution constraints	--
Describe any numerical limitations and issues	--

Describe available calibration data sets	See: http://hydro.ou.edu/Model/CREST/CREST_downloads.html
Upload calibration data sets if available:
Describe available test data sets	See: http://hydro.ou.edu/Model/CREST/CREST_downloads.html
Upload test data sets if available:
Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers?	--

Is there a manual available?	Yes
Upload manual if available:	Media:CREST Readme v1.6 07 22 2010.pdf
Model website if any	http://hydro.ou.edu/Model/CREST/CREST_downloads.html
Model forum / discussion board	--

Comments	This form is fill out by Albert Kettner

This part will be filled out by CSDMS staff

OpenMI compliant	No but possible
BMI compliant	No but possible
WMT component	No but possible
PyMT component
Is this a data component

Can be coupled with:

Model info

Authors

Jiahu Wang

Source code

Go to external source code site

Model citations

Nr. of publications:	40
Total citations:	2117
h-index:	21
m-quotient:	1.5

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CREST

Introduction

History

References

Nr. of publications:	40
Total citations:	2117
h-index:	21
m-quotient:	1.5

Featured publication(s)	Year	Model described	Type of Reference	Citations
Wang, Jiahu; Hong, Yang; Li, Li; Gourley, Jonathan J.; Khan, Sadiq I.; Yilmaz, Koray K.; Adler, Robert F.; Policelli, Frederick S.; Habib, Shahid; Irwn, Daniel; Limaye, Ashutosh S.; Korme, Tesfaye; Okello, Lawrence; 2011. The coupled routing and excess storage (CREST) distributed hydrological model. Hydrological Sciences Journal, 56, 84–98. 10.1080/02626667.2010.543087 (View/edit entry)	2011	CREST	Model overview	163
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Input Files

Output Files