05 Dec 2022
05 Dec 2022

Description and Evaluation of the JULES-ES setup for ISIMIP2b

Camilla Mathison1,2, Eleanor Burke1, Andrew J. Hartley1, Douglas I. Kelley4, Chantelle Burton1, Eddy Robertson1, Nicola Gedney1, Karina Williams1,3, Andy Wiltshire1,3, Richard J. Ellis4, Alistair Sellar1, and Chris Jones1 Camilla Mathison et al.
  • 1Met Office Hadley Centre, FitzRoy Road, Exeter, UK
  • 2School of Earth and Environment, Institute for Climate and Atmospheric Science, University of Leeds, Leeds, UK
  • 3Global Systems Institute, University of Exeter, Laver Building, North Park Road, Exeter, UK
  • 4UK Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK

Abstract. Global studies of climate change impacts that use future climate model projections also require projections of land surface changes. Simulated land surface performance in Earth System models is often affected by the atmospheric models’ climate biases, leading to errors in land surface projections. Here we run the JULES-ES land surface model with ISIMIP2b bias-corrected climate model data from 4 global climate models (GCMs). The bias correction reduces the impact of the climate biases present in individual models. We evaluate JULES-ES performance against present-day observations to demonstrate its usefulness for providing required information for impacts such as fire and river flow. We simulate a historical and two future scenarios; a mitigation scenario RCP2.6 and RCP6.0, which has very little mitigation. We include a standard JULES-ES configuration without fire as a contribution to ISIMIP2b and JULES-ES with fire as a potential future development. Simulations for gross primary productivity (GPP), evapotranspiration (ET) and albedo compare well against observations. Including fire improves the simulations, especially for ET and albedo and vegetation distribution, with some degradation in shrub cover and river flow. This configuration represents some of the most current earth system science for land surface modelling. The suite associated with this configuration provides a basis for past and future phases of ISIMIP, providing a simulation setup, postprocessing and initial evaluation using ILAMB. This suite ensures that it is as straightforward, reproducible and transparent as possible to follow the protocols and participate fully in ISIMIP using JULES.

Camilla Mathison et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1196', Anonymous Referee #1, 24 Jan 2023
  • RC2: 'Comment on egusphere-2022-1196', Anonymous Referee #2, 24 Jan 2023

Camilla Mathison et al.

Camilla Mathison et al.


Total article views: 281 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
216 55 10 281 26 7 4
  • HTML: 216
  • PDF: 55
  • XML: 10
  • Total: 281
  • Supplement: 26
  • BibTeX: 7
  • EndNote: 4
Views and downloads (calculated since 05 Dec 2022)
Cumulative views and downloads (calculated since 05 Dec 2022)

Viewed (geographical distribution)

Total article views: 294 (including HTML, PDF, and XML) Thereof 294 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
Latest update: 08 Feb 2023
Short summary
This paper describes and evaluates a new modelling methodology to quantify the impacts of climate change on water, biomes and the carbon cycle. We have created a new configuration and setup for the JULES-ES land surface model, driven by bias-corrected historical and future climate model output provided by the Inter-Sectoral Impacts Model Inter-comparison Project (ISIMIP). This allows us to compare projections of the impacts of climate change across multiple impacts models and multiple sectors.