Recipe - Clouds - evaluate cloud climatologies from CMIP models

[princekx]

Implementation of Clouds diagnostics recipe

Variables referencing each missing dataset:

CALIPSO-ICECLOUD:
variable cli in: recipe_lauer22jclim_fig3-4_zonal.yml, recipe_lauer22jclim_fig5_lifrac.yml

CLARA-AVHRR: (not used as reference_dataset in any recipe)

CLOUDSAT-L2:
variable clw in: recipe_lauer22jclim_fig3-4_zonal.yml, recipe_lauer22jclim_fig5_lifrac.yml

ERA5:
variable cl in: recipe_lauer22jclim_fig3-4_zonal.yml
variable ta in: recipe_lauer22jclim_fig5_lifrac.yml
variable ts in: recipe_lauer22jclim_fig8_dyn.yml
variable wap in: recipe_lauer22jclim_fig8_dyn.yml

ERA-Interim:
variable tas in: recipe_clouds_bias.yml

ESACCI-WATERVAPOUR:
variable prw in: recipe_lauer22jclim_fig1_clim.yml, recipe_lauer22jclim_fig1_clim_amip.yml, recipe_lauer22jclim_fig2_taylor.yml, recipe_lauer22jclim_fig2_taylor_amip.yml, recipe_lauer22jclim_fig6_interannual.yml, recipe_lauer22jclim_fig7_seas.yml

MAC-LWP: (not used as reference_dataset in any recipe)

UWisc:
variable lwp in: recipe_lauer13jclim.yml