SLA for climate-carbon modelling assimilation and prediction project (CCMAP)
Lead Research Organisation:
University of Bristol
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
| Eleanor Blyth (Principal Investigator) |
Publications
Blyth E
(2010)
Evaluating the JULES Land Surface Model Energy Fluxes Using FLUXNET Data
in Journal of Hydrometeorology
Blyth E
(2011)
A comprehensive set of benchmark tests for a land surface model of simultaneous fluxes of water and carbon at both the global and seasonal scale
in Geoscientific Model Development
Luo Y
(2012)
A framework for benchmarking land models
in Biogeosciences
Fisher J
(2012)
Global nutrient limitation in terrestrial vegetation
in Global Biogeochemical Cycles
Suni T
(2015)
The significance of land-atmosphere interactions in the Earth system-iLEAPS achievements and perspectives
in Anthropocene
| Description | We developed a new way to benchmark the performance of land surface models to predict global carbon and water budgets. |
| Exploitation Route | The methods we developed has been used by the Met Office to test their climate prediction model. |
| Sectors | Environment |