Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin
-
Published:2016-01-18
Issue:1
Volume:20
Page:143-159
-
ISSN:1607-7938
-
Container-title:Hydrology and Earth System Sciences
-
language:en
-
Short-container-title:Hydrol. Earth Syst. Sci.
Author:
Le Vine N.ORCID, Butler A.ORCID, McIntyre N., Jackson C.ORCID
Abstract
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.
Funder
Natural Environment Research Council
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference66 articles.
1. Balsamo, G., Viterbo, P., Beljaars, A., van den Hurk, B., Hirschi, M.,
Betts, A., and Scipal, K.: A revised hydrology for the ECMWF model:
verification from field site to terrestrial water storage and impact in the
integrated forecast System, J. Hydrometeorol., 10, 623–643, 2009. 2. Bell, V., Kay, A., Jones, R., Moore, R., and Reynard, N.: Use of soil data in
a grid-based hydrological model to estimate spatial variation in changing
flood risk across the UK, J. Hydrol., 377, 335–350, 2009. 3. Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H.,
Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N.,
Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M.,
Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment
Simulator (JULES), model description – Part 1: Energy and water fluxes,
Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. 4. Beven, K. and Germann, P.: Macropores and water flow in soils revisited,
Water Resour. Res., 49, 3071–3092, https://doi.org/10.1002/wrcr.20156, 2013. 5. Beven, K. and Kirkby, M.: A physically based, variably contributing model of
basin hydrology, Hydrol. Sci. Bull., 24, 2415–2433, 1979.
Cited by
25 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|