Infiltration-excess overland flow estimated by TOPMODEL for the conterminous United States

Metadata Updated: June 8, 2018

This 5-kilometer resolution raster (grid) dataset for the conterminous United States represents the average percentage of infiltration-excess overland flow in total streamflow estimated by the watershed model TOPMODEL. Infiltration-excess overland flow is simulated in TOPMODEL as precipitation that exceeds the infiltration capacity of the soil and enters the stream channel. TOPMODEL was applied to 5- by 5-kilometer areas across the conterminous United States using national climate, soils, and terrain geographic information system (GIS) datasets. The model was run for 1,000 days for each 5- by 5-kilometer area. The average percentage of infiltration-excess overland flow in total streamflow was computed for the 1,000-day simulation in each grid cell.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Date November 8, 2004
Metadata Created Date December 2, 2017
Metadata Updated Date June 8, 2018
Reference Date(s) January 1, 2003 (publication)
Frequency Of Update notPlanned
Frequency Of Update notPlanned

Metadata Source

Harvested from DOI CKAN Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Date November 8, 2004
Metadata Created Date December 2, 2017
Metadata Updated Date June 8, 2018
Reference Date(s) January 1, 2003 (publication)
Responsible Party U.S. Geological Survey (Point of Contact)
Contact Email
Access Constraints Use Constraints: The values of infiltration-excess overland flow in the dataset should be viewed as highly uncertain. Uncertainty in the infiltration-excess overland-flow percentages is high because there are many sources of potential error and uncertainty in the TOPMODEL simulations. For example, the climate, soils, and terrain data required by the model are spatially coarse and possibly inaccurate. The spatial coarseness of the climate data produces a noticeable coarseness in the estimated percentages of infiltration-excess overland flow in total streamflow. In some Western States, there are very few meteorological stations for computing the climate characteristics. This data sparseness propagates into the TOPMODEL results and creates a splotchy pattern in the estimated percentage of infiltration-excess overland flow. Another important source of uncertainty in TOPMODEL (and any other model) is termed "model uncertainty." This type of uncertainty exists because the model is only a simple representation of the hydrologic processes assumed to be most important in determining how water moves through the environment. The estimated flow components from TOPMODEL will be in error to the extent that the model does not represent important complexities in the real hydrologic system., Access Constraints: None.
Bbox East Long -64.080993
Bbox North Lat 51.967053
Bbox South Lat 23.254317
Bbox West Long -128.046430
Coupled Resource
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The spatial coarseness of the climate data produces a noticeable coarseness in the estimated percentages of infiltration-excess overland flow in total streamflow. In some Western States, there are very few meteorological stations for computing the climate characteristics. This data sparseness propagates into the TOPMODEL results and creates a splotchy pattern in the estimated percentage of infiltration-excess overland flow. Another important source of uncertainty in TOPMODEL (and any other model) is termed \\\"model uncertainty.\\\" This type of uncertainty exists because the model is only a simple representation of the hydrologic processes assumed to be most important in determining how water moves through the environment. 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Another important source of uncertainty in TOPMODEL (and any other model) is termed \\\\\\\\\\\\\\\"model uncertainty.\\\\\\\\\\\\\\\" This type of uncertainty exists because the model is only a simple representation of the hydrologic processes assumed to be most important in determining how water moves through the environment. The estimated flow components from TOPMODEL will be in error to the extent that the model does not represent important complexities in the real hydrologic system.\\\\\\\", \\\\\\\"Access Constraints: None.\\\\\\\"]\\\", \\\"spatial_harvester\\\": \\\"true\\\"}\", \"metadata-language\": \"\"}", "metadata-language": ""}
Frequency Of Update notPlanned
Guid
Harvest Object Id b8e7a6bf-b6fc-4c5f-b1f1-d2d154b28381
Harvest Source Id 34ce571b-cb98-4e0b-979f-30f9ecc452c5
Harvest Source Title DOI CKAN Harvest Source
Licence Although this data set has been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of this data, software, or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Metadata Language
Metadata Type geospatial
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester true

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