Preprints
https://doi.org/10.5194/gmd-2022-139
https://doi.org/10.5194/gmd-2022-139
Submitted as: development and technical paper
05 Aug 2022
Submitted as: development and technical paper | 05 Aug 2022
Status: this preprint is currently under review for the journal GMD.

Assessing methods for representing soil heterogeneity through a flexible approach within the Joint UK Land Environment Simulator (JULES) at version 3.4.1

Heather Suzanne Rumbold, Richard J. J. Gilham, and Martin John Best Heather Suzanne Rumbold et al.
  • Met Office, Exeter, Devon, EX1 3PB, United Kingdom

Abstract. The interactions between the land surface and the atmosphere can impact weather and climate through the exchanges of water, energy, carbon and momentum. The properties of the land surface are important when modelling these exchanges correctly especially with models being used at increasingly higher resolution. The Joint UK Land Environment Simulator (JULES) currently uses a tiled representation of land cover but can only model a single dominant soil type within a grid box. Hence, there is no representation of sub-grid scale soil heterogeneity. This paper introduces and evaluates a new flexible surface-soil tiling scheme in JULES. Several different soil tiling approaches are presented for a synthetic case study. The changes to model performance have been compared to the current single soil scheme and a high resolution 'Truth' scenario. Results have shown that the different soil tiling strategies do have an impact on the water and energy exchanges due to the way vegetation accesses the soil moisture. Tiling the soil according to the surface type, with the soil properties set to the dominant soil type under each surface is the best performing configuration. The results from this setup simulate water and energy fluxes that are the closest to the high resolution 'Truth' scenario but require much less information on the soil type than the high resolution soil configuration.

Heather Suzanne Rumbold et al.

Status: open (until 30 Sep 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on gmd-2022-139', Dalei Hao, 05 Aug 2022 reply

Heather Suzanne Rumbold et al.

Data sets

WATCH Forcing Data methodology applied to ERA-Interim (WFDEI) data (Meteorological Forcing Data) G. P. Weedon, G. Balsamo, N. Bellouin, S. Gomes, M. J. Best, and P. Viterbo ftp://rfdata:forceDATA@ftp.iiasa.ac.at

Assessing methods for representing soil heterogeneity through a flexible approach within the Joint UK Land Environment Simulator (JULES) at version 3.4.1 (Data sets). Heather Rumbold, Richard Gilham, Martin Best https://doi.org/10.5281/zenodo.6954142

Model code and software

Joint UK Land Environment Simulator (JULES) model code branch at version 3.4.1 Heather Rumbold, Richard Gilham, Martin Best https://code.metoffice.gov.uk/trac/jules/browser/main/branches/dev/heatherashton/vn3.4.1_soil_tiling/configurations?rev=23611

Heather Suzanne Rumbold et al.

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Short summary
The Joint UK Land Environment Simulator (JULES) uses a tiled representation of land cover but can only model a single dominant soil type within a grid box, hence there is no representation of sub-grid soil heterogeneity. This paper evaluates a new surface-soil tiling scheme in JULES and demonstrates the impacts of the scheme using several soil tiling approaches. Results show that soil tiling has an impact on the water and energy exchanges due to the way vegetation accesses the soil moisture.