TY - JOUR
T1 - Baseline evaluation of the impact of updates to the MIT Earth System Model on its model parameter estimates
AU - Libardoni, Alex G.
AU - Forest, Chris E.
AU - Sokolov, Andrei P.
AU - Monier, Erwan
N1 - Funding Information:
Acknowledgements. This work was supported by U.S. Department of Energy (DOE), Office of Science, under award DE-FG02-94ER61937 and other government, industry and foundation sponsors of the MIT Joint Program on the Science and Policy of Global Change. For a complete list of sponsors and U.S. government funding sources, see https://globalchange.mit.edu/sponsors/current/ (last access: 16 August 2018). The authors would like to thank the National Climatic Data Center, the Hadley Centre for Climate Prediction and Research, and the NASA Goddard Institute for Space Studies for producing publicly available surface data products, and the NOAA National Centers for Environmental Information for providing publicly available ocean heat content data. We would also like to thank the University of Maryland for access to the Evergreen high-performance computing cluster for model simulations.
Publisher Copyright:
© Author(s) 2018.
PY - 2018/8/21
Y1 - 2018/8/21
N2 - For over 20 years, the Massachusetts Institute of Technology Earth System Model (MESM) has been used extensively for climate change research. The model is under continuous development with components being added and updated. To provide transparency in the model development, we perform a baseline evaluation by comparing model behavior and properties in the newest version to the previous model version. In particular, changes resulting from updates to the land surface model component and the input forcings used in historical simulations of climate change are investigated. We run an 1800-member ensemble of MESM historical climate simulations where the model parameters that set climate sensitivity, the rate of ocean heat uptake, and the net anthropogenic aerosol forcing are systematically varied. By comparing model output to observed patterns of surface temperature changes and the linear trend in the increase in ocean heat content, we derive probability distributions for the three model parameters. Furthermore, we run a 372-member ensemble of transient climate simulations where all model forcings are fixed and carbon dioxide concentrations are increased at the rate of 1 % yearĝ'1. From these runs, we derive response surfaces for transient climate response and thermosteric sea level rise as a function of climate sensitivity and ocean heat uptake. We show that the probability distributions shift towards higher climate sensitivities and weaker aerosol forcing when using the new model and that the climate response surfaces are relatively unchanged between model versions. Because the response surfaces are independent of the changes to the model forcings and similar between model versions with different land surface models, we suggest that the change in land surface model has limited impact on the temperature evolution in the model. Thus, we attribute the shifts in parameter estimates to the updated model forcings.
AB - For over 20 years, the Massachusetts Institute of Technology Earth System Model (MESM) has been used extensively for climate change research. The model is under continuous development with components being added and updated. To provide transparency in the model development, we perform a baseline evaluation by comparing model behavior and properties in the newest version to the previous model version. In particular, changes resulting from updates to the land surface model component and the input forcings used in historical simulations of climate change are investigated. We run an 1800-member ensemble of MESM historical climate simulations where the model parameters that set climate sensitivity, the rate of ocean heat uptake, and the net anthropogenic aerosol forcing are systematically varied. By comparing model output to observed patterns of surface temperature changes and the linear trend in the increase in ocean heat content, we derive probability distributions for the three model parameters. Furthermore, we run a 372-member ensemble of transient climate simulations where all model forcings are fixed and carbon dioxide concentrations are increased at the rate of 1 % yearĝ'1. From these runs, we derive response surfaces for transient climate response and thermosteric sea level rise as a function of climate sensitivity and ocean heat uptake. We show that the probability distributions shift towards higher climate sensitivities and weaker aerosol forcing when using the new model and that the climate response surfaces are relatively unchanged between model versions. Because the response surfaces are independent of the changes to the model forcings and similar between model versions with different land surface models, we suggest that the change in land surface model has limited impact on the temperature evolution in the model. Thus, we attribute the shifts in parameter estimates to the updated model forcings.
UR - http://www.scopus.com/inward/record.url?scp=85052081737&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052081737&partnerID=8YFLogxK
U2 - 10.5194/gmd-11-3313-2018
DO - 10.5194/gmd-11-3313-2018
M3 - Article
AN - SCOPUS:85052081737
SN - 1991-959X
VL - 11
SP - 3313
EP - 3325
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 8
ER -