Added titles to recipes maintained by lauer_axel (#2332)

Author: axel-lauer

esmvaltool/recipes/recipe_clouds_bias.yml

@@ -2,6 +2,8 @@
 # recipe_clouds_bias.yml
 ---
 documentation:
+  title: Annual mean climatologies (MMM)
+
   description: |
     Diagnostics of clouds and hydrological cycle multi-model mean, mean bias,
     absolute bias, relative bias.
@@ -129,6 +131,7 @@ diagnostics:
   # **********************************************************************
 
   clouds_bias_tas:
+    title: Near-surface temperature climatology (MMM)
     description: IPCC AR5 Ch. 9, Fig. 9.2 (near-surface temperature)
     themes:
       - clouds
@@ -159,6 +162,7 @@ diagnostics:
   # **********************************************************************
 
   clouds_bias_pr:
+    title: Precipitation climatology (MMM)
     description: IPCC AR5 Ch. 9, Fig. 9.4 (precipitation)
     themes:
       - clouds
@@ -184,6 +188,7 @@ diagnostics:
   # **********************************************************************
 
   clouds_bias_clt:
+    title: Total cloud cover climatology (MMM)
     description: multi-model mean bias of annual mean compared with a
                  reference dataset (observations).
     themes:

esmvaltool/recipes/recipe_clouds_ipcc.yml

@@ -2,6 +2,8 @@
 # recipe_clouds_ipcc.yml
 ---
 documentation:
+  title: Climatologies cloud radiative effects
+
   description: |
     Diagnostics of clouds and hydrological cycle multi-model mean bias,
     zonal means; similar to IPCC AR5 fig. 9.5.
@@ -130,6 +132,7 @@ diagnostics:
   # **********************************************************************
 
   clouds_ipcc_swcre:
+    title: Climatoloty shortwave CRE
     description: differences of multi-model mean and reference dataset
     themes:
       - clouds
@@ -152,6 +155,7 @@ diagnostics:
         timemean: annualclim
 
   clouds_ipcc_lwcre:
+    title: Climatoloty longwave CRE
     description: differences of multi-model mean and reference dataset
     themes:
       - clouds
@@ -171,6 +175,7 @@ diagnostics:
         <<: *clim_settings
 
   clouds_ipcc_netcre:
+    title: Climatoloty net CRE
     description: differences of multi-model mean and reference dataset
     themes:
       - clouds

esmvaltool/recipes/recipe_ecs_scatter.yml

@@ -2,6 +2,8 @@
 # recipe_ecs_scatter.yml
 ---
 documentation:
+  title: Emergent constraints for ECS
+
   description: |
     Calculates equilibrium climate sensitivity (ECS) versus
     1) southern ITCZ index, similar to fig. 2 from Tian (2015)
@@ -62,6 +64,7 @@ preprocessors:
 diagnostics:
 
   cmip5_shhc:
+    title: CMIP5 Hadley cell extent (Lipat et al. 2017)
     description: climatological Hadley cell extent
     themes:
       - EC
@@ -115,6 +118,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip5_itczidx:
+    title: CMIP5 southern ITCZ index (Tian 2015)
     description: southern ITCZ index
     themes:
       - EC
@@ -175,6 +179,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip5_humidx:
+    title: CMIP5 humidity index (Tian 2015)
     description: tropical mid-tropospheric humidity asymmetry index
     themes:
       - EC
@@ -237,6 +242,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip5_ltmi:
+    title: CMIP5 LTMI (Sherwood et al., 2014)
     description: lower tropospheric mixing index
     themes:
       - EC
@@ -307,6 +313,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip5_covrefl:
+    title: CMIP5 covariance of shortwave cloud reflection (Brient and Schneider, 2016)
     description: covariance of shortwave cloud reflection
     themes:
       - EC
@@ -418,6 +425,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip6_itczidx:
+    title: CMIP6 southern ITCZ index (Tian 2015)
     description: southern ITCZ index
     themes:
       - EC
@@ -467,6 +475,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip6_humidx:
+    title: CMIP6 humidity index (Tian 2015)
     description: tropical mid-tropospheric humidity asymmetry index
     themes:
       - EC
@@ -518,6 +527,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip6_ltmi:
+    title: CMIP6 LTMI (Sherwood et al., 2014)
     description: lower tropospheric mixing index
     themes:
       - EC
@@ -575,6 +585,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip6_shhc:
+    title: CMIP6 Hadley cell extent (Lipat et al. 2017)
     description: climatological Hadley cell extent
     themes:
       - EC
@@ -615,6 +626,7 @@ diagnostics:
         script: emergent_constraints/ecs_scatter.ncl
 
   cmip6_covrefl:
+    title: CMIP6 covariance of shortwave cloud reflection (Brient and Schneider, 2016)
     description: covariance of shortwave cloud reflection
     themes:
       - EC

esmvaltool/recipes/recipe_flato13ipcc.yml

@@ -1,7 +1,9 @@
 # ESMValTool
 # recipe_flato13ipcc.yml
 ---
-documentation:
+documentation:   
+  title: IPCC AR5, chap. 9 diagnostics
+
   description: |
     Reproducing selected figures from IPCC AR5, chap. 9 (Flato et al., 2013)
     9.2, 9.3, 9.4, 9.5, 9.6, 9.8, 9.14, 9.24, 9.26, 9.27, 9.42, 9.45a.
@@ -129,6 +131,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-2:
+    title: Fig. 9.2 (near-surface temperature)
     description: IPCC AR5 Ch. 9, Fig. 9.2 (near-surface temperature)
     themes:
       - phys
@@ -243,6 +246,7 @@ diagnostics:
   # ***************************************************************************
 
   fig09-3:
+    title: Fig. 9.3 (near-surface temperature)
     description: Calculate seasonality of multi-model mean for tas
     themes:
       - phys
@@ -318,6 +322,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-4:
+    title: Fig. 9.4 (precipitation)
     description: IPCC AR5 Ch. 9, Fig. 9.4 (precipitation)
     themes:
       - clouds
@@ -431,6 +436,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-5a:
+    title: Fig. 9.5a (shortwave CRE)
     description: differences of multi-model mean and reference dataset
     themes:
       - clouds
@@ -537,6 +543,7 @@ diagnostics:
         timemean: annualclim
 
   fig09-5b:
+    title: Fig. 9.5b (longwave CRE)
     description: differences of multi-model mean and reference dataset
     themes:
       - clouds
@@ -640,6 +647,7 @@ diagnostics:
         <<: *fig-9-5_settings
 
   fig09-5c:
+    title: Fig. 9.5c (net CRE)
     description: differences of multi-model mean and reference dataset
     themes:
       - clouds
@@ -752,6 +760,7 @@ diagnostics:
   # ***************************************************************************
 
   fig09-6_tas:
+    title: Fig. 9.6 (near-surface temperature)
     description: Calculate pattern correlation for tas
     variables:
       tas:
@@ -837,6 +846,7 @@ diagnostics:
         script: ipcc_ar5/ch09_fig09_6.ncl
 
   fig09-6_rlut:
+    title: Fig. 9.6 (TOA longwave radiation)
     description: Calculate pattern correlation for all-sky longwave radiation
     variables:
       rlut:
@@ -921,6 +931,7 @@ diagnostics:
         <<: *fig09_6_pattern_cor
 
   fig09-6_pr:
+    title: Fig. 9.6 (precipitation)
     description: Calculate pattern correlation for precipitation
     variables:
       pr:
@@ -1007,6 +1018,7 @@ diagnostics:
         <<: *fig09_6_pattern_cor
 
   fig09-6_swcre:
+    title: Fig. 9.6 (shortwave CRE)
     description: Calculate pattern correlation for shortwave cloud radiative effect
     variables:
       swcre:
@@ -1105,6 +1117,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-8:
+    title: Fig. 9.8 (near-surface temperature)
     description: IPCC AR5 Ch. 9, Fig. 9.8 (near-surface temperature)
     themes:
       - phys
@@ -1211,6 +1224,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-14:
+    title: Fig. 9.14 (SST)
     description: |
       IPCC AR5 Ch. 9, Fig. 9.14 (sst error, zonal mean and equatorial)
     themes:
@@ -1285,6 +1299,7 @@ diagnostics:
   # ***********************************************************************
 
   fig09-24:
+    title: Fig. 9.24 (sea ice)
     description: timeseries and trend distributions of sea ice extent
     themes:
       - seaIce
@@ -1388,6 +1403,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-26top:
+    title: Fig. 9.26a (carbon uptake)
     variables:
       fgco2: &fgco2_settings
         preprocessor: sea_fraction_weighting
@@ -1440,6 +1456,7 @@ diagnostics:
         evolution_plot_ref_dataset: GCP
 
   fig09-26bottom:
+    title: Fig. 9.26b (carbon uptake)
     variables:
       nbp:
         <<: *fgco2_settings
@@ -1479,6 +1496,7 @@ diagnostics:
   # **********************************************************************
 
   fig09-27top:
+    title: Fig. 9.27a (CO2 fluxes)
     variables:
       fgco2:
         <<: *fgco2_settings
@@ -1661,6 +1679,7 @@ diagnostics:
         script: climate_metrics/tcr.py
 
   fig09-42a_cmip5:
+    title: Fig. 9.42a CMIP5 (ECS vs. GMSAT)
     description: Plot ECS vs. GMSAT for CMIP5 models.
     themes:
       - phys
@@ -1738,6 +1757,7 @@ diagnostics:
               ncol: 2
 
   fig09-42b_cmip5:
+    title: Fig. 9.42b CMIP5 (TCR vs. ECS)
     description: Plot TCR vs. ECS for CMIP5 models.
     themes:
       - phys
@@ -1924,6 +1944,7 @@ diagnostics:
         <<: *tcr_script
 
   fig09-42a_cmip6:
+    title: Fig. 9.42a CMIP6 (ECS vs. GMSAT)
     description: Plot ECS vs. GMSAT for CMIP6 models.
     themes:
       - phys
@@ -1998,6 +2019,7 @@ diagnostics:
         dataset_style: cmip6
 
   fig09-42b_cmip6:
+    title: Fig. 9.42b CMIP6 (TCR vs. ECS)
     description: Plot TCR vs. ECS for CMIP6 models.
     themes:
       - phys
@@ -2019,6 +2041,7 @@ diagnostics:
   # ***********************************************************************
 
   fig09-45a:
+    title: Fig. 9.45a (snow-albedo feedback)
     description: springtime snow-albedo feedback values vs. seasonal cycle
     themes:
       - EC