Model:CREST: Difference between revisions

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{{Model identity
|Model type=Single
}}
{{Start models incorporated}}
{{End a table}}
{{Model identity2
|ModelDomain=Hydrology
|Spatial dimensions=2D
|Spatialscale=Continental, Regional-Scale
|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.
}}
{{Start model keyword table}}
{{Model keywords
|Model keywords=continental
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{{End a table}}
{{Modeler information
{{Modeler information
|First name=Jiahu
|First name=Jiahu
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|Town / City=Norman
|Town / City=Norman
|Postal code=73019
|Postal code=73019
|Country=United States
|State=Oklahoma
|State=Oklahoma
|Country=USA
|Email address=yanghong@ou.edu
|Email address=yanghong@ou.edu
|Phone=+1-405-325-3644
|Phone=+1-405-325-3644
}}
{{Model identity
|Model type=Single
|Categories=Hydrology
|Spatial dimensions=2D
|Spatialscale=Continental, Regional-Scale
|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.
}}
{{Model keywords
|Model keywords=continental
}}
}}
{{Model technical information
{{Model technical information
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|Start year development=2008
|Start year development=2008
|Does model development still take place?=Yes
|Does model development still take place?=Yes
|DevelopmentCode=Active
|DevelopmentCodeYearChecked=2020
|Model availability=As code
|Model availability=As code
|Source code availability=Through web repository
|Source code availability=Through web repository
|Source web address=http://hydro.ou.edu/CREST_downloads.html
|Source web address=http://hydro.ou.edu/research/crest/
|Program license type=Other
|Program license type=Other
|Program license type other=--
|Program license type other=--
|OpenMI compliant=No but possible
|CCA component=No but possible
|IRF interface=No but possible
|CMT component=Not yet
|Memory requirements=--
|Memory requirements=--
|Typical run time=--
|Typical run time=--
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}}
}}
{{Model testing
{{Model testing
|Describe available calibration data sets=See: http://hydro.ou.edu/model.html
|Describe available calibration data sets=See: http://hydro.ou.edu/Model/CREST/CREST_downloads.html
|Describe available test data sets=See: http://hydro.ou.edu/model.html
|Describe available test data sets=See: http://hydro.ou.edu/Model/CREST/CREST_downloads.html
|Describe ideal data for testing=--
}}
}}
{{Users groups model
{{Users groups model
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{{Documentation model
{{Documentation model
|Provide key papers on model if any=Key Papers:
*'''Wang, J., Y. Hong, L. Li, J.J. Gourley, K. Yilmaz, S. Khan, F. S. Policelli, R. F. Adler, S. Habib, D. Irwn, T. Korme, and L. Okello, 2009, The Coupled Routing and Excess STorage (CREST) Distributed Hydrological Model, J. Hydrology (submitted)'''
|Manual model available=Yes
|Manual model available=Yes
|Model manual=CREST Readme v1.6 07 22 2010.pdf,
|Model manual=CREST Readme v1.6 07 22 2010.pdf,
|Model website if any=http://hydro.ou.edu/CREST_downloads.html
|Model website if any=http://hydro.ou.edu/Model/CREST/CREST_downloads.html
|Model forum=--
|Model forum=--
}}
}}
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|Comments=This form is fill out by Albert Kettner
|Comments=This form is fill out by Albert Kettner
}}
}}
{{CSDMS staff part
|OpenMI compliant=No but possible
|IRF interface=No but possible
|CMT component=No but possible
|CCA component=No but possible
}}
{{Start coupled table}}
{{End a table}}
{{End headertab}}
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==Introduction==
==Introduction==
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== History ==
== History ==


== Papers ==
== References  ==
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== Issues ==
== Issues ==


== Help ==
== Help ==
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== Input Files ==
== Input Files ==


== Output Files ==
== Output Files ==
== Download ==
== Source ==

Latest revision as of 20:19, 16 September 2020



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
Model citations
Nr. of publications: 41
Total citations: 2158
h-index: 23
m-quotient: 1.53
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Link to this page
Other models by author


Introduction

History

References



Nr. of publications: 41
Total citations: 2158
h-index: 23
m-quotient: 1.53



Featured publication(s)YearModel describedType of ReferenceCitations
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
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, 16, 2915–2937. 10.5194/gmd-16-2915-2023
(View/edit entry)		2023 CREST
IHydroSlide3D
 Model overview 31
See more publications of CREST


Issues

Help

Input Files

Output Files

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