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

Le Vine, N.; Butler, A.; McIntyre, N.; 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. https://doi.org/10.5194/hess-20-143-2016

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Official URL: http://dx.doi.org/10.5194/hess-20-143-2016

Abstract/Summary

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.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/hess-20-143-2016
ISSN:	1607-7938
Additional Keywords:	GroundwaterBGS, Groundwater, Groundwater modelling, Surface water interaction
Date made live:	08 Jun 2016 09:10 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/513770

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.5194/hess-20-143-2016

ISSN:

1607-7938

Additional Keywords:

GroundwaterBGS, Groundwater, Groundwater modelling, Surface water interaction

Date made live:

08 Jun 2016 09:10 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/513770