Mathison, Camilla; Burke, Eleanor; Hartley, Andrew J.; Kelley, Douglas I.
ORCID: https://orcid.org/0000-0003-1413-4969; Burton, Chantelle; Robertson, Eddy; Gedney, Nicola; Williams, Karina; Wiltshire, Andy; Ellis, Richard J.; Sellar, Alistair A.; Jones, Chris D..
2023
Description and evaluation of the JULES-ES setup for ISIMIP2b [in special issue: Joint UK Land Environment Simulator (JULES) – configurations, developments and documentation]
Geoscientific Model Development, 16 (14).
4249-4264.
10.5194/gmd-16-4249-2023
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 Joint UK Land Environment Simulator Earth System configuration (JULES-ES) land surface model with the Inter-Sectoral Impact Model Intercomparison Project second-phase future projections (ISIMIP2b) bias-corrected climate model data from four global climate models (GCMs). The bias correction reduces the impact of the climate biases present in individual models. We evaluate the performance of JULES-ES against present-day observations to demonstrate its usefulness for providing required information for impacts such as fire and river flow. 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 set-up, postprocessing and initial evaluation, using the International Land Model Benchmarking (ILAMB) project. This suite ensures that it is as straightforward, reproducible and transparent as possible to follow the protocols and participate fully in ISIMIP using JULES.
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536849:219676
N536849JA.pdf
- Published Version
Available under License Creative Commons Attribution 4.0.
Available under License Creative Commons Attribution 4.0.
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