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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 :
Dobre M
Srivastava A
Lew R
Deval C
Brooks ES
Elliot WJ
Robichaud PR
Source :
Data in brief [Data Brief] 2022 May 10; Vol. 42, pp. 108251. Date of Electronic Publication: 2022 May 10 (Print Publication: 2022).
Publication Year :
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 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.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2022 The Authors.)

Details

Language :
English
ISSN :
2352-3409
Volume :
42
Database :
MEDLINE
Journal :
Data in brief
Publication Type :
Academic Journal
Accession number :
35647243
Full Text :
https://doi.org/10.1016/j.dib.2022.108251