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WEPPcloud hydrologic and erosion simulation datasets from 28 watersheds in US Pacific Northwest and calibrating model parameters for undisturbed and disturbed forest management conditions

Authors :
Mariana Dobre
Anurag Srivastava
Roger Lew
Chinmay Deval
Erin S. Brooks
William J. Elliot
Peter R. Robichaud
Source :
Data in Brief, Vol 42, Iss , Pp 108251- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

The WEPPcloud interface is a new online decision-support tool for the Water Erosion Prediction Project (WEPP) model that facilitates data preparation and model runs, and summarizes model outputs into tables and maps that are easily interpretable by users. The interface can be used by land and water managers in the United States, Europe, and Australia interested in simulating streamflow, sediment and pollutant loads from both undisturbed and disturbed (e.g. post-wildfire or post-treatment such as thinning or prescribed fires) forested watersheds. This article contains full hydrologic model runs for 28 forested watersheds in the U.S. Pacific Northwest with the WEPPcloud online interface. It also includes links to repositories with the individual model runs, a table containing default model parameters for disturbed conditions, and figures with model outputs as compared to observed data. The data in the repositories include all the raw data input and output from the model as well as the processed data, which can be accessed through tables and shapefiles to provide additional insights into the model outputs. Lastly, the article describes how the data are organized and the content of each folder containing the data. These model runs are useful for anyone interested in modeling forested watersheds with the WEPPcloud interface.

Details

Language :
English
ISSN :
23523409
Volume :
42
Issue :
108251-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.7aeb9d46f7a64323a50ca26219ece3ad
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2022.108251