WEPP Input and Output Data for Quantifying the Impacts of Climate Change on Soil Erosion in Minnesota HUC12 Watersheds

This resource contains the inputs and outputs for soil erosion and runoff models using the Water Erosion Prediction Project (WEPP). The simulations cover 3 HUC12 watersheds within or near the Minnesota counties of Dodge, Goodhue, and Stearns for 3 separate time periods: 1965-2019, 2020-2059, and 2060-2099. Two CMIP5 climate models (GFDL-ESM2G and HadGEM2-CC) were used to generate the WEPP climate inputs, and two relative concentration pathway (RCP) scenarios were used for each model. The WEPP management, slope, and soil inputs were provided by Daryl Herzmann and Brian Gelder from the Daily Erosion Project (DEP) at Iowa State University. The management input files were edited to include a number of different adoption rate scenarios for perennial crops, cover crops, and reduced tillage systems. These datasets are part of a master's thesis project conducted by Garner Kohrell (student) and Dr. David Mulla (Advisor). The chapters of this thesis are in the process of being published. The GitHub repository containing code associated with this project can be found here: https://github.com/garnerkohrell/Thesis_Appendix_Code.git

本资源包含了利用水蚀预测项目（Water Erosion Prediction Project，简称WEPP）对土壤侵蚀和径流模型进行输入输出数据的集合。模拟涵盖了明尼苏达州道奇县、古德休县和斯特恩斯县境内或附近的3个HUC12流域，时间跨度分别为1965-2019年、2020-2059年和2060-2099年。在WEPP气候输入的生成过程中，使用了两种CMIP5气候模型（GFDL-ESM2G和HadGEM2-CC），并对每种模型采用了两种相对浓度路径（RCP）情景。WEPP的管理、坡度和土壤输入数据由爱荷华州立大学的Daryl Herzmann和Brian Gelder提供，属于每日侵蚀项目（Daily Erosion Project，简称DEP）。管理输入文件经过编辑，增加了多年生作物、覆盖作物和减少耕作系统的多种采用率情景。这些数据集是Garner Kohrell（学生）和Dr. David Mulla（导师）进行的硕士论文项目的一部分，论文章节正在陆续发表。与该项目相关的代码可在此GitHub仓库找到：https://github.com/garnerkohrell/Thesis_Appendix_Code.git