Advances in land surface modelling

Blyth, Eleanor M. ORCID: https://orcid.org/0000-0002-5052-238X; Arora, Vivek K.; Clark, Douglas B. ORCID: https://orcid.org/0000-0003-1348-7922; Dadson, Simon J. ORCID: https://orcid.org/0000-0002-6144-4639; De Kauwe, Martin G.; Lawrence, David M.; Melton, Joe R.; Pongratz, Julia; Turton, Rachael H.; Yoshimura, Kei; Yuan, Hua. 2021 Advances in land surface modelling. Current Climate Change Reports, 7 (2). 45-71. 10.1007/s40641-021-00171-5

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Official URL: http://dx.doi.org/10.1007/s40641-021-00171-5

Abstract/Summary

Land surface models have an increasing scope. Initially designed to capture the feedbacks between the land and the atmosphere as part of weather and climate prediction, they are now used as a critical tool in the urgent need to inform policy about land-use and water-use management in a world that is changing physically and economically. This paper outlines the way that models have evolved through this change of purpose and what might the future hold. It highlights the importance of distinguishing between advances in the science within the modelling components, with the advances of how to represent their interaction. This latter aspect of modelling is often overlooked but will increasingly manifest as an issue as the complexity of the system, the time and space scales of the system being modelled increase. These increases are due to technology, data availability and the urgency and range of the problems being studied.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1007/s40641-021-00171-5
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	2198-6061
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	land surface models, climate models, model frameworks
NORA Subject Terms:	Earth Sciences Meteorology and Climatology
Date made live:	14 Jun 2021 11:39 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/530503

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1007/s40641-021-00171-5

UKCEH and CEH Sections/Science Areas:

Hydro-climate Risks (Science Area 2017-)

ISSN:

2198-6061

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

land surface models, climate models, model frameworks