A clustering approach to reduce computational expense in land surface models: a case study using JULES vn5.9 (2023)
Abstract
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Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.5281/zenodo.8187265
Publication URI: https://zenodo.org/record/8187265
Type: Journal Article/Review