Property:Describe available calibration data

From CSDMS

This is a property of type Text.

previous 502050100250500next 50
Showing 50 pages using this property.
C
CAESAR Lisflood +
Module tested here: https://www.geosci-model-dev.net/11/4873/2018/  +
F
Frost Model +
N/A  +
H
HexWatershed +
National Hydrography Dataset (NHD) flowline datasets were used to evaluated the model.  +
Q
Quad +
No calibration data sets. We validate the model against available analytical solutions and use it to analyze the system behavior under a general base-level fall and base-level rise. See Lorenzo-Trueba et al. 2012.  +
G
GENESIS +
No specific calibration data sets available. GENESIS has enjoyed many practical applications within the engineering and scientific community, results routinely published in proceedings of coastal conferences.  +
Z
Zscape +
None  +
G
GPM +
None available  +
A
AquaTellUs +
Not readily available; theoretical experiments are available as examples.  +
O
OrderID +
One test facies succession CSDMStestSection.txt and one test facies code, colour code and name file CSDMStestSectionLithoCol.txt  +
OptimalCycleID +
One test facies succession CSDMStestSection.txt and one test facies code, colour code and name file CSDMStestSectionLithoCol.txt  +
P
ParFlow +
ParFlow contains a directory of test cases that may be automated as a check of the code.  +
D
DeltaClassification +
Proof of concept was applied for the Ganges-Brahmaputra delta system  +
T
TreeThrow +
Requires calibration for relationship between: # soil plate volume and tree diameter; #soil plate width and tree diameter; #soil plate depth and tree diameter. These relationships have been calibrated based on field data in the Southern Blue Ridge (Appalachian Mountains).  +
S
SBEACH +
SBEACH was "validated" using a large suite of laboratory and field data sets. See SBEACH Report 4: Cross-Shore Transport Under Random Waves and Model Validation with SUPERTANK and Field Data. http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=Software;31  +
H
HSPF +
SPF and the earlier models from which it was developed have been extensively applied in a wide variety of hydrologic and water quality studies (3,4), including pesticide runoff model testing (5), aquatic fate and transport model testing (6,7), and analyses of agricultural best management practices (8,9). An application of HSPF in a screening methodology for pesticide review is described by Donigian et al. (10). In addition, HSPF has been validated with both field data and model experiments, and has been reviewed by independent experts (11-20). The Stream Transport and Agricultural Runoff for Exposure Assessment Methodology (STREAM) applies the HSPF program to various test watersheds for five major crops in four agricultural regions in the United States, defines a "representative" watershed based on regional conditions and an extrapolation of the calibration for the test watershed, and performs a sensitivity analysis on key pesticide parameters to generate cumulative frequency distributions of pesticide loads and concentrations in each regions. The resulting methodology requires the user to evaluate only the crops and regions of interest, the pesticide application rate, and three pesticide parameters -- the partition coefficient, the soil/sediment decay rate, and the solution decay rate. The EPA Chesapeake Bay Program has been using the HSPF model as the framework for modeling total watershed contributions of flow, sediment, and nutrients (and associated constituents such as water temperature, DO, BOD, etc.) to the tidal region of the Chesapeake Bay (21,22). The watershed modeling represents pollutant contributions from an area of more than 68,000 sq. mi., and provides the input to drive a fully dynamic three-dimensional, hydrodynamic/water quality model of the Bay. The watershed drainage area is divided into land segments and stream channel segments. The land areas modeled include forest, agricultural cropland (conventional and conservation tillage systems), pasture, urban (pervious and impervious areas), and uncontrolled animal waste contributions. The stream channel simulation includes flow routing and oxygen and nutrient biochemical modeling (through phytoplankton) in order to account for instream processes affecting nutrient delivery to the Bay. Currently, buildup/washoff type algorithms are being used for urban impervious areas, potency factors for all pervious areas, and constant (or seasonally variable) concentrations for all subsurface contributions and animal waste components. Enhancements are underway to utilize the detailed process (i.e. Agrichemical modules) simulation for cropland areas to better represent the impacts of agricultural BMPs and to include nitrogen cycling in forested systems to evaluate the impacts of atmospheric deposition of nitrogen on Chesapeake Bay. The watershed modeling is being used to evaluate nutrient management alternatives for attaining a 40% reduction in nutrient loads delivered to the Bay, as defined in a joint agreement among the governors of the member states.  
R
Rescal-snow +
See 'test' folder  +
B
BEDLOAD +
See Slingerland et al. (1994)  +
E
ENTRAIN +
See Slingerland et al. (1994)  +
ENTRAINH +
See Slingerland et al. (1994)  +
F
FLDTA +
See Slingerland et al. (1994)  +
L
LONGPRO +
See Slingerland et al. (1994)  +
M
MIDAS +
See Slingerland et al. (1994)  +
S
SETTLE +
See Slingerland et al. (1994)  +
SUSP +
See Slingerland et al. (1994)  +
T
TURB +
See Slingerland et al. (1994)  +
S
STORM +
See Slingerland et al. (1994)  +
STVENANT +
See Slingerland et al. (1994)  +
2
2DFLOWVEL +
See Slingerland et al. (1994)  +
D
DELTA +
See Slingerland et al. (1994)  +
W
WINDSEA +
See Slingerland et al. (1994)  +
WAVEREF +
See Slingerland et al. (1994)  +
Y
YANGs +
See Slingerland et al. (1994)  +
L
LITHFLEX1 +
See Slingerland et al. (1994)  +
LOGDIST +
See Slingerland et al. (1994)  +
S
SVELA +
See Slingerland et al. (1994)  +
L
LITHFLEX2 +
See Slingerland et al. (1994)  +
T
TAo +
See github repo: directory ./demo/  +
H
HydroCNHS +
See paper that describes the simulation of Tualatin River Basin as a case study. Lin et al., 2022.  +
R
RiverMUSE +
See readme file and the associated published paper: https://doi.org/10.1086/684223. Calibration must be performed on a site-by-site basis; the provided data do not permit calibration for our sites, but we do include the calibrated parameters and explain our methods.  +
C
CoAStal Community-lAnDscape Evolution (CASCADE) model +
See testing description on github.  +
S
STWAVE +
See the following studies: http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=ARTICLES;276&g=46 http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=ARTICLES;277&g=46 http://chl.erdc.usace.army.mil/chl.aspx?p=s&a=ARTICLES;278&g=46  +
T
TUGS +
See two papers: Cui (2007a) http://dx.doi.org/10.1029/2006WR005330 Cui (2007b) http://dx.doi.org/10.1002/rra.1012 A manuscript with regard to its application to the Waipaoa River, NZ is currently underway by Basil Gomez and others.  +
O
OTIS +
See user documentation available at website  +
D
DLBRM +
See: Croley, T. E., II, C. He, and D. H. Lee, 2005. Distributed-parameter large basin runoff model II: application. Journal of Hydrologic Engineering, 10(3):182-191. C.He, and Croley, T.E., 2007. Application of a distributed large basin runoff model in the Great Lakes basin. Control Engineering Practice, 15(8): 1001-1011.  +
C
CREST +
See: http://hydro.ou.edu/Model/CREST/CREST_downloads.html  +
W
WAVEWATCH III ^TM +
Separate publications.  +
T
TOPMODEL +
TOPMODEL calibration procedures are relatively simple because it uses very few parameters in the model formulas. The model is very sensitive to changes of the soil hydraulic conductivity decay parameter, the soil transmissivity at saturation, the root zone storage capacity, and the channel routing velocity in larger watersheds. The calibrated values of parameters are also related to the grid size used in the digital terrain analysis. The timestep and the grid size also have been shown to influence TOPMODEL simulations.  +
R
River Temperature Model +
Tested against river temperature observations of the Kuparuk river on the North Slope of Alaska (described in Zheng et al., 2019).  +
C
Caesar +
Tested on several catchments in UK over long and short time scales.  +
P
Princeton Ocean Model (POM) +
Testing described in various papers (see web page)  +
Retrieved from "https://csdms.colorado.edu/csdms_wiki/index.php?title=Property:Describe_available_calibration_data&oldid=118304"