Baselight

Data From: Isoerodent Surfaces Of The Continental US For Conservation Planning With The RUSLE2 Water Erosion Model

Department of Agriculture

@usgov.usda_gov_data_from_isoerodent_surfaces_of_the_continen_34d3043a

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About this Dataset

Data From: Isoerodent Surfaces Of The Continental US For Conservation Planning With The RUSLE2 Water Erosion Model

This is the dataset contains data used to make Figures 4 and 5 and the final Erosivity data generated and evaluated in the study entitled: “Isoerodent surfaces of the continental US for conservation planning with the RUSLE2 water erosion model”

The citation for the publication is: H.G. Momm, R.R. Wells, R. ElKadiri, T. Seever, D. Yoder, R.P. McGehee, R.L. Bingner and C.J.G. Darnault. (2025). Isoerodent surfaces of the continental US for conservation planning with the RUSLE2 water erosion model. Catena, 253, pp. 108879. https://doi.org/10.1016/j.catena.2025.108879

How the dataset was generated: These datasets were generated following the steps in the methodology described in the manuscript. The protocol used extends the standard RUSLE2 procedure to include the inclusion of small events, determination of spatially varying recurrence intervals, and consideration of two-axis trend interpolation enhanced with additional weighting accounting for data gaps. To generate this dataset, the following publicly available data sets were used as input: (a) 15min precipitation data from the U.S. National Oceanic and Atmospheric Administration (NOAA) – National Centers for Environmental Information, (b) elevation information from the Global Multi-resolution Terrain Elevation Data, (c) distance to the closest coast from the U.S. National Oceanic and Atmospheric Administration - National Ocean Service, and (d) 30-year annual precipitation normal from the Precipitation-elevation Regressions on Independent Slopes Model (PRISM) for 1991 to 2020. Complete description of steps and datasets can be found in the published manuscript.

Why the dataset was generated: These datasets were generated to evaluate the proposed methodology designed to generate continuous Erosivity (R) surfaces specifically for the U.S. Department of Agriculture - Revised Universal Soil Loss Equation, Version 2 (RUSLE2) water erosion model.
Organization: Department of Agriculture
Last updated: 2025-06-05T09:38:11.088859
Tags: erosivity, rusle2

Tables

Data Generated By Procedure

@usgov.usda_gov_data_from_isoerodent_surfaces_of_the_continen_34d3043a.data_generated_by_procedure
  • 996.47 KB
  • 8247 rows
  • 18 columns
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CREATE TABLE data_generated_by_procedure (
  "fips" BIGINT,
  "region" VARCHAR,
  "state" VARCHAR,
  "state_code" BIGINT,
  "county" VARCHAR,
  "county_code" BIGINT,
  "jan" DOUBLE,
  "feb" DOUBLE,
  "mar" DOUBLE,
  "apr" DOUBLE,
  "may" DOUBLE,
  "jun" DOUBLE,
  "jul" DOUBLE,
  "aug" DOUBLE,
  "sep" DOUBLE,
  "oct" DOUBLE,
  "nov" DOUBLE,
  "dec" DOUBLE
);

Figure4

@usgov.usda_gov_data_from_isoerodent_surfaces_of_the_continen_34d3043a.figure4
  • 55.66 KB
  • 2374 rows
  • 6 columns
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CREATE TABLE figure4 (
  "custom_dt" VARCHAR,
  "custom_ei30" DOUBLE,
  "weppcliff_dt" TIMESTAMP,
  "weppcliff_ei30" DOUBLE,
  "rist_dt" TIMESTAMP,
  "rist_ei30" DOUBLE
);

Figure5

@usgov.usda_gov_data_from_isoerodent_surfaces_of_the_continen_34d3043a.figure5
  • 10.14 KB
  • 6 rows
  • 13 columns
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CREATE TABLE figure5 (
  "year" BIGINT,
  "n_0_gap_mean" DOUBLE,
  "n_0_gap_std" VARCHAR,
  "n_10_gap_mean" DOUBLE,
  "n_10_gap_std" DOUBLE,
  "n_20_gap_mean" DOUBLE,
  "n_20_gap_std" DOUBLE,
  "n_30_gap_mean" DOUBLE,
  "n_30_gap_std" DOUBLE,
  "n_40_gap_mean" DOUBLE,
  "n_40_gap_std" DOUBLE,
  "n_50_gap_mean" DOUBLE,
  "n_50_gap_std" DOUBLE
);

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