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  5. Evaluating the Use of Models for Projecting Future Water Flow in the Southeast
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  7. Large-scale and fine-scale model outputs for model comparison workshop

Large-scale and fine-scale model outputs for model comparison workshop

Dates

Publication Date
Start Date
2013-08-20
End Date
2015-11-11

Citation

Caldwell, P., 2016-10-26, Large-scale and fine-scale model outputs for model comparison workshop.

Summary

Stream flows are essential for maintaining healthy aquatic ecosystems and for supporting human water supply needs. Integrated modeling approaches assessing the impact of changes in climate, land use, and water withdrawals on stream flows and the subsequent impact of changes in flow regime on aquatic biota at multiple spatial scales are necessary to insure an adequate supply of water for humans and healthy river ecosystems. This report inventories and then directly examines and compares a subset of hydrological models implemented in the Southeastern US that were used to estimate streamflow at a number of gaged basins across the region. This effort was designed to evaluate, quantify and compare the magnitude, and investigate the potential [...]

Contacts

Point of Contact :
Peter Caldwell, PhD
Originator :
Peter Caldwell
Metadata Contact :
Peter Caldwell, PhD
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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Model comparison study_FGDC_CSDGM.xml
Original FGDC Metadata
View 		11.94 KB application/fgdc+xml
Model comparison study results_objective 2.xlsx
“Excel format” 		403.19 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Purpose

Included sheets in this spreadsheet are as follows. 1) data dictionary- descriptions of all variables in this database; 2) site summary- List of the streamflow gauges, including basin drainage area and screening comments for hydrologic alteration; 3) fit stats-daily- Model fit statistics to observed daily flows for daily timestep models only; 4) fit stats-monthly- Model fit statistics to observed monthly flows for all models; 5) fit stats-annual- Model fit statistics to observed annual flows for all models.; 6) bias mean monthly- Bias in predicted monthly mean flows relative to observed for all models; 7) bias ERFM 5 sites 5 models- Bias in predicted Ecologically Relevant Flow Metrics relative to observed HSPF, PRMS-DAYMET, PRMS-SERAP, SWAT, and WATERFALL models at five sites in the ACF basin.

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Communities

  • National and Regional Climate Adaptation Science Centers
  • Southeast CASC

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