@article{Le:2016:10.5194/hess-20-143-2016,
author = {Le, Vine N and Butler, A and McIntyre, N and Jackson, C},
doi = {10.5194/hess-20-143-2016},
journal = {Hydrology and Earth System Sciences},
pages = {143--159},
title = {Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin},
url = {http://dx.doi.org/10.5194/hess-20-143-2016},
volume = {20},
year = {2016}
}

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TY  - JOUR
AB  - Land surface models (LSMs) are prospective starting points to develop a global hyper-resolution model of the terrestrial water, energy, and biogeochemical cycles. However, there are some fundamental limitations of LSMs related to how meaningfully hydrological fluxes and stores are represented. A diagnostic approach to model evaluation and improvement is taken here that exploits hydrological expert knowledge to detect LSM inadequacies through consideration of the major behavioural functions of a hydrological system: overall water balance, vertical water redistribution in the unsaturated zone, temporal water redistribution, and spatial water redistribution over the catchment's groundwater and surface-water systems. Three types of information are utilized to improve the model's hydrology: (a) observations, (b) information about expected response from regionalized data, and (c) information from an independent physics-based model. The study considers the JULES (Joint UK Land Environmental Simulator) LSM applied to a deep-groundwater chalk catchment in the UK. The diagnosed hydrological limitations and the proposed ways to address them are indicative of the challenges faced while transitioning to a global high resolution model of the water cycle.
AU  - Le,Vine N
AU  - Butler,A
AU  - McIntyre,N
AU  - Jackson,C
DO  - 10.5194/hess-20-143-2016
EP  - 159
PY  - 2016///
SN  - 1027-5606
SP  - 143
TI  - Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin
T2  - Hydrology and Earth System Sciences
UR  - http://dx.doi.org/10.5194/hess-20-143-2016
UR  - http://hdl.handle.net/10044/1/46052
VL  - 20
ER  - 

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