CMIP Rapid Evaluation Framework (REF)#
Overview#
Here ESMValTool recipes are collected which will be used in the CMIP Rapid Evaluation Framework (REF).
Available recipes#
Recipes are stored in recipes/
recipe_ecs.yml: Calculate equilibrium climate sensitivity (ECS)
recipe_tcr.yml: Calculate transient climate response (TCR)
recipe_tcre.yml: Calculate transient climate response to cumulative CO2 emissions (TCRE)
ref/recipe_ref_cre.yml: Maps and zonal means of longwave and shortwave cloud radiative effect
ref/recipe_ref_timeseries_region.yml: Time series in comparison with reference data for a selected IPCC region defined through a shape file, based on recipe_ref_timeseries.yml
ref/recipe_ref_annual_cycle_region.yml: Annual cycle in comparison with reference data for a selected IPCC region defined through a shape file, based on recipe_ref_annual_cycle.yml
ref/recipe_ref_trend_regions.yml: Linear Trends for all IPCC land regions compared with reference data, based on recipe_ref_trend_regions.yml
ref/recipe_ref_scatterplot.yml: 2D histograms with focus on clouds
ref/recipe_ref_sea_ice_area_basic.yml: Seasonal cycle of Arctic (NH) and Antarctic (SH) sea ice area, time series of Arctic September (NH) and Antarctic February (SH) sea ice area
ref/recipe_ref_ozone.yml: NH/SH polar cap (60 degrees to 90 degrees) March/September total column ozone time series, zonal mean total column ozone vs. time map plot, zonal mean total column ozone vs. annual cycle map plot, altitude vs. zonal mean ozone profile climatology map plot
- ref/recipe_ref_fire.yml:
Maps of burnt area fraction, fire weather control, and fuel load continuity control.
Example plots:#
Fig. 128 Geographical map of the climatological mean longwave cloud radiative effect from MPI-ESM1-2-LR and CERES-EBAF Ed4.2 and their difference.#
Fig. 129 Zonal averages of the climatological mean longwave cloud radiative effect from CERES-EBAF Ed4.2 (solid black), ESACCI-CLOUD (dashed black), ISCCP-FH (dotted black) and the MPI-ESM1-2-LR model (blue).#
Fig. 130 2D histogram of total cloud fraction (ESACCI-CLOUD) and shortwave cloud radiative effect (CERES-EBAF) for the years 2001-2016 with 1D histograms attached.#
Fig. 131 Average seasonal cycle of the Arctic (NH) sea ice area from MPI-ESM1-2-LR (red line) compared with OSISAF/CCI (blue line). Created with recipe_ref_sea_ice_area_basic.yml.#
Fig. 132 Time series of Arctic (NH) September (NH) sea ice area from MPI-ESM1-2-LR (red line) compared with OSISAF/CCI (blue line). Created with recipe_ref_sea_ice_area_basic.yml.#
Fig. 133 Zonal mean vertically resolved ozone climatology from CNRM-ESM2-1 compared with ESACCI-OZONE for the years 1990 to 2000. Created with recipe_ref_ozone.yml.#
Fig. 134 Time series of near-surface air temperature anomalies from MIROC6 compared with HadCRUT5 for N.Europe for the years 1980 to 2014 (reference period 1980 to 2009). Created with recipe_ref_timeseries_region.yml.#
Fig. 135 Burnt area fraction for the MPI-ESM1-2-LR model (CMIP-historical experiment) for the time period 2013-2014 as computed with the ConFire model Jones et al. (2024).#
Fig. 136 Fire weather control for the MPI-ESM1-2-LR model (CMIP-historical experiment) for the time period 2013-2014 as computed with the ConFire model Jones et al. (2024).#
Fig. 137 Fuel load continuity control for the MPI-ESM1-2-LR model (CMIP-historical experiment) for the time period 2013-2014 as computed with the ConFire model Jones et al. (2024).#