Towards global coverage of gridded parameterization for CLImate GENerator (CLIGEN)-Reference-Cited by-同舟云学术

Towards global coverage of gridded parameterization for CLImate GENerator (CLIGEN)

Published:2023-12-26 Issue: Volume: Page:1-24
ISSN:2096-4471
Container-title:Big Earth Data
language:en
Short-container-title:Big Earth Data

Author:

Fullhart Andrew T.¹^ORCID,Ponce-Campos Guillermo E.²,Meles Menberu B.³,McGehee Ryan P.⁴,Wei Haiyan²,Armendariz Gerardo¹,Burns Shea²,Goodrich David C.¹

Affiliation:

1. Southwest Watershed Research Center USDA-ARS, Tucson, AZ, USA

2. School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, USA

3. Sustainable Agricultural Water Systems Unit USDA-ARS, Davis, CA, USA

4. Agricultural and Biosystems Engineering, Iowa State University, Ames, IA, USA

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/20964471.2023.2291215

Reference36 articles.

1. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015

2. Agricultural Research Service. (2023). CLIGEN [Software]. https://www.ars.usda.gov/midwest-area/west-lafayette-in/national-soil-erosion-research/docs/wepp/cligen/

3. Bayley, T., Elliot, W., Nearing, M. A., Guertin, D. P., Johnson, T., Goodrich, D., & Flanagan, D. (2010). Modeling erosion under future climates with the WEPP model. In Proceedings of the 2nd Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling, Las Vegas, NV, 27 June - 1 July, (pp. 1–12).

4. Present and future Köppen-Geiger climate classification maps at 1-km resolution

5. Multi-site precipitation downscaling using a stochastic weather generator