fix(data-layers): update sea surface salinity description (#726)

* feat(layers): update sss version in description * feat(data-layer): add 2019 to sss * chore(triggers): update version number * fix(layers): update sss timespan
ubilabs · Oct 26, 2020 · 15cfeb0 · 15cfeb0
1 parent fed374b
commit 15cfeb0
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diff --git 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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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",