A clustering approach to reduce computational expense in land surface models: a case study using JULES vn5.9 (2023)

First Author: Cooper E

Attributed to: Hydro-JULES: Next generation land surface and hydrological prediction funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.5194/egusphere-2023-1596

Publication URI: http://dx.doi.org/10.5194/egusphere-2023-1596

Type: Preprint