Model:CREST

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CREST

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Summary Contact Technical specs In/Output Process Testing Other Component info 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: 43 Total citations: 2596 h-index: 25 m-quotient: 1.56 QR-code Link to this page Other models by author CREST

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Nr. of publications:	43
Total citations:	2596
h-index:	25
m-quotient:	1.56

Featured reference(s)	Open Access Status	Year	Type of Reference	Cited
Chen, G.; Zhang, K.; Wang, S.; Xia, Y.; Chao, L.; 2023. iHydroSlide3D v1.0: an advanced hydrological–geotechnical model for hydrological simulation and three-dimensional landslide prediction. Geoscientific Model Development, 162915–2937. 10.5194/gmd-16-2915-2023	cc-by · publishedVersion	2023	a module overview describing a module	46
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, 5684–98. 10.1080/02626667.2010.543087	cc-by-nc-nd · submittedVersion	2011	a module overview describing a module	160

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