feat(stories): content update (#618)

* feat(story15): content update

* feat(stories): copying english content to other languages

* feat(story-26): add new tag

* feat(layers): update coean colour description and name

i18n/en.json

@@ -59,5 +59,6 @@
   "tags.satellite-orbits": "Satellite Orbits",
   "tags.sensors": "Sensors",
   "tags.electromagnetic-spectrum": "Electromagnetic Spectrum",
-  "tags.climate-modelling": "Climate Modelling"
+  "tags.climate-modelling": "Climate Modelling",
+  "tags.geostationary-satellite": "Geostationary Satellite"
 }

i18n/es.json

@@ -59,5 +59,6 @@
   "tags.satellite-orbits": "Órbitas satelitales",
   "tags.sensors": "Sensores",
   "tags.electromagnetic-spectrum": "Espectro electromagnético",
-  "tags.climate-modelling": "Modelos climáticos"
+  "tags.climate-modelling": "Modelos climáticos",
+  "tags.geostationary-satellite": "Satélite geoestacionario"
 }

i18n/fr.json

@@ -59,5 +59,6 @@
   "tags.satellite-orbits": "Orbites des satellites",
   "tags.sensors": "Détecteurs",
   "tags.electromagnetic-spectrum": "Spectre électromagnétique",
-  "tags.climate-modelling": "Modélisation climatique"
+  "tags.climate-modelling": "Modélisation climatique",
+  "tags.geostationary-satellite": "Satellite géostationnaire"
 }

i18n/nl.json

@@ -59,5 +59,6 @@
   "tags.satellite-orbits": "Satellietbanen",
   "tags.sensors": "Sensoren",
   "tags.electromagnetic-spectrum": "Elektromagnetisch Spectrum",
-  "tags.climate-modelling": "Klimaatmodellering"
+  "tags.climate-modelling": "Klimaatmodellering",
+  "tags.geostationary-satellite": "Geostationaire Satelliet"
 }

storage/layers/layers-de.json

@@ -23,9 +23,9 @@
   {
     "id": "oc.chlor_a",
     "type": "Ocean Biogeochemistry",
-    "name": "Ocean Color – Chlorophyll-a Concentration",
-    "shortName": "Ocean Color",
-    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2018  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.0  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/eef36ac7c892491aa862097e79827f68)"
+    "name": "Ocean Colour – Chlorophyll-a Concentration",
+    "shortName": "Ocean Colour",
+    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2019  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.2  \n**DOI:**  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863)"
   },
   {
     "id": "aerosol.AOD550_mean",

storage/layers/layers-en.json

@@ -23,9 +23,9 @@
   {
     "id": "oc.chlor_a",
     "type": "Ocean Biogeochemistry",
-    "name": "Ocean Color – Chlorophyll-a Concentration",
-    "shortName": "Ocean Color",
-    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2018  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.0  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/eef36ac7c892491aa862097e79827f68)"
+    "name": "Ocean Colour – Chlorophyll-a Concentration",
+    "shortName": "Ocean Colour",
+    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2019  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.2  \n**DOI:**  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863)"
   },
   {
     "id": "aerosol.AOD550_mean",

storage/layers/layers-es.json

@@ -23,9 +23,9 @@
   {
     "id": "oc.chlor_a",
     "type": "Ocean Biogeochemistry",
-    "name": "Ocean Color – Chlorophyll-a Concentration",
-    "shortName": "Ocean Color",
-    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2018  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.0  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/eef36ac7c892491aa862097e79827f68)"
+    "name": "Ocean Colour – Chlorophyll-a Concentration",
+    "shortName": "Ocean Colour",
+    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2019  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.2  \n**DOI:**  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863)"
   },
   {
     "id": "aerosol.AOD550_mean",

storage/layers/layers-fr.json

@@ -23,9 +23,9 @@
   {
     "id": "oc.chlor_a",
     "type": "Ocean Biogeochemistry",
-    "name": "Ocean Color – Chlorophyll-a Concentration",
-    "shortName": "Ocean Color",
-    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2018  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.0  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/eef36ac7c892491aa862097e79827f68)"
+    "name": "Ocean Colour – Chlorophyll-a Concentration",
+    "shortName": "Ocean Colour",
+    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2019  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.2  \n**DOI:**  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863)"
   },
   {
     "id": "aerosol.AOD550_mean",

storage/layers/layers-nl.json

@@ -23,9 +23,9 @@
   {
     "id": "oc.chlor_a",
     "type": "Ocean Biogeochemistry",
-    "name": "Ocean Color – Chlorophyll-a Concentration",
-    "shortName": "Ocean Color",
-    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2018  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.0  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/eef36ac7c892491aa862097e79827f68)"
+    "name": "Ocean Colour – Chlorophyll-a Concentration",
+    "shortName": "Ocean Colour",
+    "description": "Chlorophyll-a is the primary pigment in many plants, including the phytoplankton in the ocean.  It absorbs light, allowing plants to photosynthesise and so generate energy to grow. Ocean colour remote sensing uses this light absorption to quantify the amount of Chlorophyll-a in the surface ocean, the depth to which the light penetrates, and so quantify the amount of phytoplankton. Phytoplankton are essential because they are the foundation of the marine food chain, playing a role in carbon fixation that potentially reduces human-induced carbon dioxide in the atmosphere, but can also increase ocean acidification.\n\nThe Ocean Colour CCI project has created a consistent time-series by merging data from multiple ocean colour satellites, including ESA’s MERIS dataset and NASA’s SeaWiFS, MODIS-Aqua and VIIRS datasets. The project is also in the process of adding the Copernicus/ESA OLCI dataset. Further details can be found online at [climate.esa.int/projects/ocean-colour](https://climate.esa.int/en/projects/ocean-colour/)\n\n**Variable Shown:** Chlorophyll-a concentration in seawater in Milligram/m3  \n**Time Span:** September 1997 – December 2019  \n**Temporal Resolution:** monthly  \n**Geographic Extent:** global  \n**Spatial Resolution:** 4 km  \n**Version:** 4.2  \n**DOI:**  \n\n[ESA CCI Ocean Color ECV Project website](https://esa-oceancolour-cci.org/)  \n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/5400de38636d43de9808bfc0b500e863)"
   },
   {
     "id": "aerosol.AOD550_mean",

storage/stories/stories-de.json

@@ -54,6 +54,6 @@
     "title": "Den Puls des Planeten messen",
     "description": "",
     "image": "assets/soilmoisture_large_14.jpg",
-    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling"]
+    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling", "geostationary-satellite"]
   }
 ]

storage/stories/stories-en.json

@@ -55,7 +55,7 @@
     "title": "Taking the Pulse of the Planet",
     "description": "",
     "image": "assets/soilmoisture_large_14.jpg",
-    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling"],
+    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling", "geostationary-satellite"],
     "position": [40, -25]
   }
 ]

storage/stories/stories-es.json

@@ -55,7 +55,7 @@
     "title": "Taking the Pulse of the Planet",
     "description": "",
     "image": "assets/soilmoisture_large_14.jpg",
-    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling"],
+    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling", "geostationary-satellite"],
     "position": [40, -25]
   }
 ]

storage/stories/stories-fr.json

@@ -54,6 +54,6 @@
     "title": "Taking the Pulse of the Planet",
     "description": "",
     "image": "assets/soilmoisture_large_14.jpg",
-    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling"]
+    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling", "geostationary-satellite"]
   }
 ]

storage/stories/stories-nl.json

@@ -54,6 +54,6 @@
     "title": "Taking the Pulse of the Planet",
     "description": "",
     "image": "assets/soilmoisture_large_14.jpg",
-    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling"]
+    "tags": ["satellite-orbits", "sensors", "electromagnetic-spectrum", "climate-modelling", "geostationary-satellite"]
   }
 ]