Evaluating the JULES land surface model energy fluxes using FLUXNET data
Blyth, Eleanor ORCID: https://orcid.org/0000-0002-5052-238X; Gash, John; Lloyd, Amanda; Pryor, Matthew; Weedon, Graham P.; Shuttleworth, Jim. 2010 Evaluating the JULES land surface model energy fluxes using FLUXNET data. Journal of Hydrometeorology, 11 (2). 509-519. 10.1175/2009JHM1183.1
Full text not available from this repository.Abstract/Summary
Surface energy flux measurements from a sample of ten FLUXNET sites selected to represent a range of climate conditions and biome types were used to assess the performance of the Hadley Centre land surface model (JULES). Because FLUXNET data are prone systematically to under-measure surface fluxes, the model was evaluated by its ability to partition incoming radiant energy into evaporation and how such partition varies with atmospheric evaporative demand at annual, seasonal, weekly, and diurnal timescales. The model parameters from the GCM configuration were used. The overall performance was good although weaknesses in model performance were identified that are associated with the specification of the leaf area index and plant rooting depth, and the representation of soil freezing.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | 10.1175/2009JHM1183.1 |
Programmes: | CEH Programmes pre-2009 publications > Biogeochemistry > CC01B Land-surface Feedbacks in the Climate System > CC01.8 Land-surface feedbacks through energy and water cycles CEH Topics & Objectives 2009 - 2012 > Biogeochemistry CEH Topics & Objectives 2009 - 2012 > Water > WA Topic 3 - Science for Water Management > WA - 3.3 - Better represent hydrological and biogeochemical processes in Earth System Models |
UKCEH and CEH Sections/Science Areas: | Harding (to July 2011) |
ISSN: | 1525-755X |
NORA Subject Terms: | Meteorology and Climatology Hydrology |
Date made live: | 17 Jun 2010 09:23 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/8825 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year