Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin

Le Vine, N., Butler, A., McIntyre, N. and Jackson, C. (2016) Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin. Hydrology and Earth System Sciences, 20 1: 143-159. doi:10.5194/hess-20-143-2016


Author Le Vine, N.
Butler, A.
McIntyre, N.
Jackson, C.
Title Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin
Journal name Hydrology and Earth System Sciences   Check publisher's open access policy
ISSN 1607-7938
1027-5606
Publication date 2016-01-18
Year available 2016
Sub-type Article (original research)
DOI 10.5194/hess-20-143-2016
Open Access Status DOI
Volume 20
Issue 1
Start page 143
End page 159
Total pages 270
Place of publication Goettingen, Germany
Publisher Copernicus
Collection year 2017
Language eng
Abstract 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.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Centre for Water in the Minerals Industry
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