diff --git a/data/downloads/odp-ftp-sea-surface-salinity.sh b/data/downloads/odp-ftp-sea-surface-salinity.sh
index 0d24e83b4..e38234a2a 100755
--- a/data/downloads/odp-ftp-sea-surface-salinity.sh
+++ b/data/downloads/odp-ftp-sea-surface-salinity.sh
@@ -6,7 +6,7 @@ OUTPUT_FODLER=./download/sss
 
 mkdir -p $OUTPUT_FODLER
 
-for i in {0..106}
+for i in {0..119}
 do
   NEXT_YEAR=$(date +%Y -d "$START_DATE + $i month")
   NEXT_DATE=$(date +%Y%m%d -d "$START_DATE + $i month")
diff --git a/data/triggers/aerosol_aod550_mean.sh b/data/triggers/aerosol_aod550_mean.sh
index c01d10db2..da8f4c506 100755
--- a/data/triggers/aerosol_aod550_mean.sh
+++ b/data/triggers/aerosol_aod550_mean.sh
@@ -4,7 +4,7 @@ TIMEOUT=4000
 LAYER_ID="aerosol.AOD550_mean"
 VARIABLE_ID="AOD550_mean"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="360"
 LAT_RES="180"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/biomass_agb.sh b/data/triggers/biomass_agb.sh
index c66fd98ef..7304368dc 100755
--- a/data/triggers/biomass_agb.sh
+++ b/data/triggers/biomass_agb.sh
@@ -4,7 +4,7 @@ TIMEOUT=10000
 LAYER_ID="biomass.agb"
 VARIABLE_ID="agb"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="81000"
 LAT_RES="31500"
 ZOOM_LEVELS="0-7"
diff --git a/data/triggers/cloud_cfc.sh b/data/triggers/cloud_cfc.sh
index ce560169e..5584e14fa 100755
--- a/data/triggers/cloud_cfc.sh
+++ b/data/triggers/cloud_cfc.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="cloud.cfc"
 VARIABLE_ID="cfc"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="720"
 LAT_RES="360"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/fire_burned_area.sh b/data/triggers/fire_burned_area.sh
index 8d752fdba..757fb8160 100755
--- a/data/triggers/fire_burned_area.sh
+++ b/data/triggers/fire_burned_area.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="fire.burned_area"
 VARIABLE_ID="burned_area"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="1440"
 LAT_RES="720"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/greenhouse_xch4.sh b/data/triggers/greenhouse_xch4.sh
index d2492350e..64053aa50 100755
--- a/data/triggers/greenhouse_xch4.sh
+++ b/data/triggers/greenhouse_xch4.sh
@@ -4,7 +4,7 @@ TIMEOUT=3000
 LAYER_ID="greenhouse.xch4"
 VARIABLE_ID="xch4"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="180"
 LAT_RES="90"
 ZOOM_LEVELS="0-2"
diff --git a/data/triggers/greenhouse_xco2.sh b/data/triggers/greenhouse_xco2.sh
index 258bab1a3..be9981f72 100755
--- a/data/triggers/greenhouse_xco2.sh
+++ b/data/triggers/greenhouse_xco2.sh
@@ -4,7 +4,7 @@ TIMEOUT=3000
 LAYER_ID="greenhouse.xco2"
 VARIABLE_ID="xco2"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="180"
 LAT_RES="90"
 ZOOM_LEVELS="0-2"
diff --git a/data/triggers/greenland_ice_sec.sh b/data/triggers/greenland_ice_sec.sh
index 7a1f39ff5..172c4c92d 100755
--- a/data/triggers/greenland_ice_sec.sh
+++ b/data/triggers/greenland_ice_sec.sh
@@ -4,7 +4,7 @@ TIMEOUT=2000
 LAYER_ID="greenland_ice.sec"
 VARIABLE_ID="SEC"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 ZOOM_LEVELS="0-3"
 MIN_LON="-90"
 MAX_LON="7.594643368591434"
diff --git a/data/triggers/lakes_chla_mean.sh b/data/triggers/lakes_chla_mean.sh
index 3910aad35..dd161588f 100755
--- a/data/triggers/lakes_chla_mean.sh
+++ b/data/triggers/lakes_chla_mean.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="lakes.chla_mean"
 VARIABLE_ID="chla_mean"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="43200"
 LAT_RES="21600"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/lakes_lake_surface_water_temperature.sh b/data/triggers/lakes_lake_surface_water_temperature.sh
index 9e2eaa153..ce2f40d69 100755
--- a/data/triggers/lakes_lake_surface_water_temperature.sh
+++ b/data/triggers/lakes_lake_surface_water_temperature.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="lakes.lake_surface_water_temperature"
 VARIABLE_ID="lake_surface_water_temperature"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="43200"
 LAT_RES="21600"
 ZOOM_LEVELS="0-5"
diff --git a/data/triggers/land_cover_lccs_class.sh b/data/triggers/land_cover_lccs_class.sh
index dddeda2f8..6cfc4d19b 100755
--- a/data/triggers/land_cover_lccs_class.sh
+++ b/data/triggers/land_cover_lccs_class.sh
@@ -4,7 +4,7 @@ TIMEOUT=24000
 LAYER_ID="land_cover.lccs_class"
 VARIABLE_ID="lccs_class"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="64800"
 LAT_RES="32400"
 ZOOM_LEVELS="0-5"
diff --git a/data/triggers/oc_chlor_a.sh b/data/triggers/oc_chlor_a.sh
index 408ec9b60..dbdcc82ef 100755
--- a/data/triggers/oc_chlor_a.sh
+++ b/data/triggers/oc_chlor_a.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="oc.chlor_a"
 VARIABLE_ID="chlor_a"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="2048"
 LAT_RES="1024"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/ozone_total_ozone_column.sh b/data/triggers/ozone_total_ozone_column.sh
index 2b9ff056d..72679325e 100755
--- a/data/triggers/ozone_total_ozone_column.sh
+++ b/data/triggers/ozone_total_ozone_column.sh
@@ -1,10 +1,10 @@
 #!/usr/bin/env bash
 
-TIMEOUT=8000
+TIMEOUT=12000
 LAYER_ID="ozone.total_ozone_column"
 VARIABLE_ID="total_ozone_column"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="720"
 LAT_RES="360"
 ZOOM_LEVELS="0-3"
@@ -20,7 +20,7 @@ if [ ! -f ./package.json ]; then
     exit 1
 fi
 
-gcloud builds submit --config ./ci/cloudbuild-tiles-reproject.yaml \
+gcloud --project esa-climate-from-space builds submit --config ./ci/cloudbuild-tiles-reproject.yaml \
   --timeout=$TIMEOUT \
   --substitutions _LAYER_ID=$LAYER_ID,_VARIABLE_ID=$VARIABLE_ID,_ZOOM_LEVELS=$ZOOM_LEVELS,_LON_RES=$LON_RES,_LAT_RES=$LAT_RES,_LAYER_TYPE=$LAYER_TYPE,_VERSION=$VERSION,_MIN=$MIN,_MAX=$MAX,_MIN_LON=$MIN_LON,_MAX_LON=$MAX_LON,_MIN_LAT=$MIN_LAT,_MAX_LAT=$MAX_LAT \
   .
diff --git a/data/triggers/permafrost_pfr.sh b/data/triggers/permafrost_pfr.sh
index 21cb5faba..95cea83b8 100755
--- a/data/triggers/permafrost_pfr.sh
+++ b/data/triggers/permafrost_pfr.sh
@@ -4,7 +4,7 @@ TIMEOUT=2000
 LAYER_ID="permafrost.pfr"
 VARIABLE_ID="PFR"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="36366"
 LAT_RES="18182"
 ZOOM_LEVELS="0-4"
diff --git a/data/triggers/sea_ice_nh_ice_conc.sh b/data/triggers/sea_ice_nh_ice_conc.sh
index ec1e05803..acdf5ca89 100755
--- a/data/triggers/sea_ice_nh_ice_conc.sh
+++ b/data/triggers/sea_ice_nh_ice_conc.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="sea_ice_nh.ice_conc"
 VARIABLE_ID="ice_conc"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="2444"
 LAT_RES="496"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/sea_ice_sh_ice_conc.sh b/data/triggers/sea_ice_sh_ice_conc.sh
index bea8bc3c6..50871c79b 100755
--- a/data/triggers/sea_ice_sh_ice_conc.sh
+++ b/data/triggers/sea_ice_sh_ice_conc.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="sea_ice_sh.ice_conc"
 VARIABLE_ID="ice_conc"
 LAYER_TYPE="tiles"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="2444"
 LAT_RES="496"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/sea_level_sla.sh b/data/triggers/sea_level_sla.sh
index 931cd3539..5eec3f141 100755
--- a/data/triggers/sea_level_sla.sh
+++ b/data/triggers/sea_level_sla.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="sea_level.sla"
 VARIABLE_ID="sla"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="1440"
 LAT_RES="720"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/sea_state_swh_mean.sh b/data/triggers/sea_state_swh_mean.sh
index 19c8d0b78..45aa601e0 100755
--- a/data/triggers/sea_state_swh_mean.sh
+++ b/data/triggers/sea_state_swh_mean.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="sea_state.swh_mean"
 VARIABLE_ID="swh_mean"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="360"
 LAT_RES="180"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/sea_surface_salinity_sss.sh b/data/triggers/sea_surface_salinity_sss.sh
index e7244beaf..4d6a30e75 100755
--- a/data/triggers/sea_surface_salinity_sss.sh
+++ b/data/triggers/sea_surface_salinity_sss.sh
@@ -4,7 +4,7 @@ TIMEOUT=4000
 LAYER_ID="sea_surface_salinity.sss"
 VARIABLE_ID="sss"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="1388"
 LAT_RES="694"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/snow_swe.sh b/data/triggers/snow_swe.sh
index 490e67065..063b776df 100755
--- a/data/triggers/snow_swe.sh
+++ b/data/triggers/snow_swe.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="snow.swe"
 VARIABLE_ID="swe"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="1440"
 LAT_RES="720"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/soil_moisture_anomaly.sh b/data/triggers/soil_moisture_anomaly.sh
index 2a377e828..0b983ad07 100755
--- a/data/triggers/soil_moisture_anomaly.sh
+++ b/data/triggers/soil_moisture_anomaly.sh
@@ -4,7 +4,7 @@ TIMEOUT=4000
 LAYER_ID="soil_moisture.Anomaly"
 VARIABLE_ID="Anomaly"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="1440"
 LAT_RES="720"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/soil_moisture_sm_mean.sh b/data/triggers/soil_moisture_sm_mean.sh
index 00bb0454e..f6909a231 100755
--- a/data/triggers/soil_moisture_sm_mean.sh
+++ b/data/triggers/soil_moisture_sm_mean.sh
@@ -4,7 +4,7 @@ TIMEOUT=8000
 LAYER_ID="soil_moisture.sm_mean"
 VARIABLE_ID="sm_mean"
 LAYER_TYPE="image"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LON_RES="1440"
 LAT_RES="720"
 ZOOM_LEVELS="0-3"
diff --git a/data/triggers/sst_analysed_sst.sh b/data/triggers/sst_analysed_sst.sh
index a0552c3e6..a8c9f6df5 100755
--- a/data/triggers/sst_analysed_sst.sh
+++ b/data/triggers/sst_analysed_sst.sh
@@ -3,7 +3,7 @@
 TIMEOUT=24000
 LAYER_ID="sst.analysed_sst"
 VARIABLE_ID="analysed_sst"
-VERSION="0.9.1"
+VERSION="0.10.2"
 LAYER_TYPE="image"
 LON_RES="2048"
 LAT_RES="1024"
diff --git a/storage/layers/layers-de.json b/storage/layers/layers-de.json
index 17ce38341..e524e5b08 100644
--- a/storage/layers/layers-de.json
+++ b/storage/layers/layers-de.json
@@ -102,7 +102,7 @@
     "type": "Surface Ocean Physics",
     "name": "Sea Surface Salinity",
     "shortName": "Sea Surface Salinity",
-    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2018 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2018  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 1.8  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/aea368301bff448bbbea7e90e66819e5)"
+    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2019 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2019  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 2.31  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/7813eb75a131474a8d908f69c716b031)"
   },
   {
     "id": "snow.swe",
diff --git a/storage/layers/layers-en.json b/storage/layers/layers-en.json
index 17ce38341..e524e5b08 100644
--- a/storage/layers/layers-en.json
+++ b/storage/layers/layers-en.json
@@ -102,7 +102,7 @@
     "type": "Surface Ocean Physics",
     "name": "Sea Surface Salinity",
     "shortName": "Sea Surface Salinity",
-    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2018 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2018  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 1.8  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/aea368301bff448bbbea7e90e66819e5)"
+    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2019 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2019  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 2.31  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/7813eb75a131474a8d908f69c716b031)"
   },
   {
     "id": "snow.swe",
diff --git a/storage/layers/layers-es.json b/storage/layers/layers-es.json
index 17ce38341..e524e5b08 100644
--- a/storage/layers/layers-es.json
+++ b/storage/layers/layers-es.json
@@ -102,7 +102,7 @@
     "type": "Surface Ocean Physics",
     "name": "Sea Surface Salinity",
     "shortName": "Sea Surface Salinity",
-    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2018 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2018  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 1.8  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/aea368301bff448bbbea7e90e66819e5)"
+    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2019 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2019  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 2.31  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/7813eb75a131474a8d908f69c716b031)"
   },
   {
     "id": "snow.swe",
diff --git a/storage/layers/layers-fr.json b/storage/layers/layers-fr.json
index 17ce38341..e524e5b08 100644
--- a/storage/layers/layers-fr.json
+++ b/storage/layers/layers-fr.json
@@ -102,7 +102,7 @@
     "type": "Surface Ocean Physics",
     "name": "Sea Surface Salinity",
     "shortName": "Sea Surface Salinity",
-    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2018 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2018  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 1.8  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/aea368301bff448bbbea7e90e66819e5)"
+    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2019 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2019  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 2.31  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/7813eb75a131474a8d908f69c716b031)"
   },
   {
     "id": "snow.swe",
diff --git a/storage/layers/layers-nl.json b/storage/layers/layers-nl.json
index 17ce38341..e524e5b08 100644
--- a/storage/layers/layers-nl.json
+++ b/storage/layers/layers-nl.json
@@ -102,7 +102,7 @@
     "type": "Surface Ocean Physics",
     "name": "Sea Surface Salinity",
     "shortName": "Sea Surface Salinity",
-    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2018 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2018  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 1.8  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/aea368301bff448bbbea7e90e66819e5)"
+    "description": "Sea Surface Salinity (SSS) quantifies the amount of salt in surface waters. Unusual salinity levels may indicate the onset of extreme climate events, such as El Niño. Global maps of sea-surface salinity are particularly helpful for studying the water cycle, ocean–atmosphere exchanges and ocean circulation, which are all vital components of the climate system transporting heat, momentum, carbon and nutrients around the globe.\n\nIn CCI, a global record of SSS covering the period 2010-2019 has been processed from SMOS, Aquarius and SMAP SSS. In addition to SSS, indicators for SSS uncertainties are provided. This new data set allows to monitor 2 El Niño and La Niña events of very different intensities.\n\n**Variable shown:** Sea Surface Salinity  \n**Time Span:** 2010-2019  \n**Temporal resolution:** monthly (temporal sampling: 2 weeks)  \n**Spatial resolution:** 50km (spatial sampling: 25km)  \n**Geographical extent:** global  \n**Version:** 2.31  \n**DOI:** [doi:10.5285/4ce685bff631459fb2a30faa699f3fc5](https://dx.doi.org/10.5285/4ce685bff631459fb2a30faa699f3fc5)\n\n[ESA CCI Sea Surface Salinity ECV Project website](https://climate.esa.int/projects/sea-state/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/7813eb75a131474a8d908f69c716b031)"
   },
   {
     "id": "snow.swe",