Preprints
https://doi.org/10.5194/egusphere-2023-1596
https://doi.org/10.5194/egusphere-2023-1596
10 Aug 2023
 | 10 Aug 2023

A clustering approach to reduce computational expense in land surface models: a case study using JULES vn5.9

Elizabeth Cooper, Rich Ellis, Eleanor Blyth, and Simon Dadson

Abstract. Land surface models such as JULES (the Joint UK Land Environment Simulator) are usually run on a regular, rectilinear grid, resulting in gridded outputs for variables such as soil moisture and water fluxes. Here we investigate a method of clustering grid cells with similar characteristics together in JULES. Clustering grid cells has the potential to reduce computational expense as well as providing an alternative to tiling approaches for capturing sub-grid heterogeneity. In this study, we cluster grid cells exclusively in the land surface part of modelling, i.e., separate from river routing. We compare gridded and clustered soil moisture outputs from JULES with measurements from the UK Centre for Ecology and Hydrology (UKCEH) COSMOS-UK network and show that the clustering approach can model soil moisture well while reducing computational expense. However, soil moisture results are dependent on the characteristics used to create the clusters. We investigate the effect of using clusters on predicted river flows, and compare routed JULES outputs with NRFA gauge data in the catchment. We show that less expensive JULES clustered outputs give similar river flow results to standard gridded outputs when routed at the grid resolution, and are able to match observed river flow better than gridded outputs when routed at higher resolution.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Elizabeth Cooper, Rich Ellis, Eleanor Blyth, and Simon Dadson

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1596', Anonymous Referee #1, 12 Sep 2023
  • RC2: 'Comment on egusphere-2023-1596', Chen Zhang, 08 Oct 2023
  • AC1: 'Comment on egusphere-2023-1596', Elizabeth Cooper, 22 Nov 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1596', Anonymous Referee #1, 12 Sep 2023
  • RC2: 'Comment on egusphere-2023-1596', Chen Zhang, 08 Oct 2023
  • AC1: 'Comment on egusphere-2023-1596', Elizabeth Cooper, 22 Nov 2023
Elizabeth Cooper, Rich Ellis, Eleanor Blyth, and Simon Dadson
Elizabeth Cooper, Rich Ellis, Eleanor Blyth, and Simon Dadson

Viewed

Total article views: 403 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
283 95 25 403 22 23
  • HTML: 283
  • PDF: 95
  • XML: 25
  • Total: 403
  • BibTeX: 22
  • EndNote: 23
Views and downloads (calculated since 10 Aug 2023)
Cumulative views and downloads (calculated since 10 Aug 2023)

Viewed (geographical distribution)

Total article views: 407 (including HTML, PDF, and XML) Thereof 407 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 May 2024
Download
Short summary
We have tested a different way of simulating soil moisture and river flow. Instead of dividing the land up into over 10,000 squares to run our numerical model, we cluster the land into fewer, irregular areas with similar landscape characteristics. We show that different ways of clustering the landscape produce different patterns of soil moisture. We also show that with this method we can we match observations as well as our usual gridded approach for ten times less computational resource.