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Implementation of U.K. Earth System Models for CMIP6

2020; Wiley; Volume: 12; Issue: 4 Linguagem: Inglês

10.1029/2019ms001946

1942-2466

Alistair Sellar, Jeremy Walton, Colin Jones, Richard Wood, N. Luke Abraham, Mirosław Andrejczuk, Martin B. Andrews, Timothy Andrews, A. T. Archibald, L. de Mora, H Dyson, Mark Elkington, Richard J. Ellis, Piotr Florek, Peter Good, Laila Gohar, Stephen Haddad, Steven C. Hardiman, Emma Hogan, Alan Iwi, Chris Jones, Ben Johnson, Douglas I. Kelley, J. Kettleborough, Jeff Knight, Marcus O. Köhler, Till Kuhlbrodt, Spencer Liddicoat, Irina Linova-Pavlova, Matthew Mizielinski, Olaf Morgenstern, Jane P. Mulcahy, Erica Neininger, Fiona M. O’Connor, Ruth Petrie, Jeff Ridley, Jean-Christophe Rioual, Malcolm Roberts, Eddy Robertson, Steven T. Rumbold, Jon Seddon, Harry Shepherd, Sungbo Shim, Ag Stephens, Joao C. Teixiera, Yongming Tang, Jonny Williams, Andy Wiltshire, Paul T. Griffiths,

Climate variability and models

Abstract We describe the scientific and technical implementation of two models for a core set of experiments contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6). The models used are the physical atmosphere‐land‐ocean‐sea ice model HadGEM3‐GC3.1 and the Earth system model UKESM1 which adds a carbon‐nitrogen cycle and atmospheric chemistry to HadGEM3‐GC3.1. The model results are constrained by the external boundary conditions (forcing data) and initial conditions. We outline the scientific rationale and assumptions made in specifying these. Notable details of the implementation include an ozone redistribution scheme for prescribed ozone simulations (HadGEM3‐GC3.1) to avoid inconsistencies with the model's thermal tropopause, and land use change in dynamic vegetation simulations (UKESM1) whose influence will be subject to potential biases in the simulation of background natural vegetation. We discuss the implications of these decisions for interpretation of the simulation results. These simulations are expensive in terms of human and CPU resources and will underpin many further experiments; we describe some of the technical steps taken to ensure their scientific robustness and reproducibility.