Transient Climate Response¶
Overview¶
The transient climate response (TCR) is defined as the global and annual mean surface air temperature anomaly in the 1pctCO2 scenario (1% CO2 increase per year) for a 20 year period centered at the time of CO2 doubling, i.e. using the years 61 to 80 after the start of the simulation. We calculate the temperature anomaly by subtracting a linear fit of the piControl run for all 140 years of the 1pctCO2 experiment prior to the TCR calculation (see Gregory and Forster, 2008).
Available recipes and diagnostics¶
Recipes are stored in recipes/
recipe_tcr.yml
Diagnostics are stored in diag_scripts/
climate_metrics/tcr.py
climate_metrics/create_barplot.py
climate_metrics/create_scatterplot.py
User settings in recipe¶
Preprocessor
area_statistics
(operation: mean): Calculate global mean.
Script climate_metrics/tcr.py
plot
, bool, optional (default:True
): Plot temperature anomaly vs. time.read_external_file
, str, optional: Read TCR from external file. Can be given relative to the diagnostic script or as absolute path.seaborn_settings
, dict, optional: Options for seaborn’sset()
method (affects all plots), see https://seaborn.pydata.org/generated/seaborn.set.html.
Script climate_metrics/create_barplot.py
Script climate_metrics/create_scatterplot.py
Variables¶
tas (atmos, monthly, longitude, latitude, time)
Observations and reformat scripts¶
None
References¶
Gregory, J. M., and P. M. Forster. “Transient climate response estimated from radiative forcing and observed temperature change.” Journal of Geophysical Research: Atmospheres 113.D23 (2008).