Rainfall erosivity prediction in South Korea

Description

### Project Summary This dataset contains monthly rainfall erosivity (EI30) values and relevant rainfall statistics (total rainfall and rainy days) for 6 representative weather stations across South Korea. The data was curated to evaluate and compare four different rainfall erosivity prediction models using a time-forward 5-fold cross-validation approach. A representative subset of the data and the complete R scripts are provided here for reproducibility. Further data supporting this study are available from the corresponding author upon reasonable request.

Institutions

• Korea University

  Seoul, Seongbuk-gu

Categories

Funders

• Ministry of Environment

  Seoul, South Korea

  Grant ID: RS-2022-KE002294
• Ministry of Education

  Government of the Republic of Korea

  Sejong-si, South Korea

  Grant ID: NRF-2021R1A6A1A10045235

Licence