Abstract

AbstractThe implementation of boundary conditions is a key aspect of climate simulations. We describe here how the Climate Model Intercomparison Project Phase 6 (CMIP6) forcing data sets have been processed and implemented in Version 6 of the Institut Pierre‐Simon Laplace (IPSL) climate model (IPSL‐CM6A‐LR) as used for CMIP6. Details peculiar to some of the Model Intercomparison Projects are also described. IPSL‐CM6A‐LR is run without interactive chemistry; thus, tropospheric and stratospheric aerosols as well as ozone have to be prescribed. We improved the aerosol interpolation procedure and highlight a new methodology to adjust the ozone vertical profile in a way that is consistent with the model dynamical state at the time step level. The corresponding instantaneous and effective radiative forcings have been estimated and are being presented where possible.

Highlights

  • While Climate Model Intercomparison Project Phase 6 (CMIP6) is more prescriptive than CMIP5 in the way boundary conditions should be implemented, there are still choices to be made during model implementation with possible implications for the simulated climate forcings and model performance

  • SST and Sea Ice Cover for piClim Experiments The climatic SSTs and sea ice cover used as boundary conditions in the piClim experiments of RFMIP were obtained by averaging 200 years of model output from the CMIP6 DECK piControl experiment performed with Institut Pierre-Simon Laplace (IPSL)-CM6A-LR

  • We have described the details of how the IPSL Climate Modelling Centre has implemented the boundary conditions of the CMIP6 experimental protocol in the IPSL-CM6A-LR model

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Summary

Introduction

We describe how the various boundary conditions that have been prepared for the Climate Model Intercomparison Project Phase 6 (CMIP6) have been processed and implemented in IPSL-CM6A-LR. While CMIP6 is more prescriptive than CMIP5 in the way boundary conditions should be implemented, there are still choices to be made during model implementation with possible implications for the simulated climate forcings and model performance.

Long-Lived Greenhouse Gases
Ozone Concentrations
Atmospheric Aerosols
Solar Forcing
SST and Sea Ice Cover for piClim Experiments
Other Specific Forcings for Paleoclimate Simulations
Findings
Conclusions
Full Text
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