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CMIP6

This repository contains time series of annual-mean globally-averaged variables from various CMIP6 experiments, together with analysis of climate sensitivities, forcing and feedbacks.

Global-mean time series

Anomalies are calculated by subtracting the trend in piControl calculated over the time period parallel to the perturbation experiment, as in Andrews et al. (2012) and Forster et al. (2013).

filename description
delta_tas_abrupt-4xCO2_cmip6.csv anomalies in surface air temperature [tas] relative to piControl in the abrupt-4xCO2 experiment
delta_net_abrupt-4xCO2_cmip6.csv anomalies in net top-of-atmosphere flux [rsdt - rsut - rlut], relative to piControl in the abrupt-4xCO2 experiment
delta_tas_1pctCO2_cmip6.csv anomalies in surface air temperature [tas] relative to piControl in the 1pctCO2 experiment
delta_variable_experimentid_cmip6.csv anomalies in variable relative to piControl in the experiment_id experiment

Analysis

table_gregory_plot_cmip6.csv

Linear regression of anomaly in net top-of-atmosphere flux vs. anomaly in surface air temperature over the first 150 years of the abrupt-4xCO2 experiment, following Gregory et al. (2004).

parameter description units
Model CMIP6 Source ID
F4x 4xCO2 forcing (intercept) W m-2
lambda climate feedback (slope) W m-2 K-1
ECS effective climate sensitivity K

table_tcr_cmip6.csv

parameter description units
TCR transient climate response K
T140 tas anomaly averaged over years 131-150 K
ratio T140 / TCR unitless

table_two_layer_cmip6.csv

Fit to the two-layer model of the surface air temperature anomalies in the abrupt-4xCO2 experiment using the method described in Geoffroy et al. (2013).

parameter description units
tau_f fast (mixed layer) timescale years
tau_s slow (deep ocean) timescale years
gamma transfer co-efficient W m-2 K-1
C mixed-layer heat capacity W m-2 K-1 yrs
C_O deep-ocean heat capacity W m-2 K-1 yrs
a_f contribution from fast mode unitless
a_s contribution from slow mode, 1 - a_f unitless

Acknowledgement

I acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. I thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF.

CC BY-SA 4.0

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

CC BY-SA 4.0

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