Auto content commit for story id: story-31

storage/stories/story-31/story-31-en.json

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     },
     {
       "type": "video",
-      "text": "##  Ocean Colour to Carbon Flux\r\n\r\nOne example of how satellite data have been used to improve climate models is provided by the CCI Ocean Colour team’s measurements of chlorophyll concentration. Variations in the colour of the ocean allow us to map the distribution of phytoplankton around the world. These tiny marine organisms contain chlorophyll, just like plants on land, and are linked to key climate processes including the removal of carbon dioxide from the atmosphere and the release of natural aerosols that influence cloud cover into the atmosphere.\r\n\r\nWhen the UK Met Office incorporated satellite-observed chlorophyll concentration in their ocean-biogeochemical model, it led to marked improvements in the how the model represented seasonal variations of phytoplankton and its distribution in the deeper parts of the ocean. The team also used the data to better model the exchange of carbon dioxide between the atmosphere and ocean. Comparing the outputs with a set of independent observations of sea surface carbon dioxide not only showed the model provided a better representation of the [carbon cycle](stories/story-12/0) in some areas but also highlighted where the model needs to be improved.\r\n \r\nIt is important to get this right because it helps us understand how the way the ocean absorbs and releases carbon might change as a result of different amounts and patterns of warming. At the moment, the ocean is a sink for carbon emissions from human activities, so it is important to know how it may respond in the future.",
+      "text": "##  Ocean Colour to Carbon Flux\r\n\r\nOne example of how satellite data have been used to improve climate models is provided by the CCI Ocean Colour team’s measurements of chlorophyll concentration. Variations in the colour of the ocean allow us to map the distribution of phytoplankton around the world. These tiny marine organisms contain chlorophyll, just like plants on land, and are linked to key climate processes including the removal of carbon dioxide from the atmosphere and the release of natural aerosols that influence cloud cover into the atmosphere.\r\n\r\nWhen the UK Met Office incorporated satellite-observed chlorophyll concentration in their ocean-biogeochemical model, it led to marked improvements in how the model represented seasonal variations of phytoplankton and its distribution in the deeper parts of the ocean. The team also used the data to better model the exchange of carbon dioxide between the atmosphere and ocean. Comparing the outputs with a set of independent observations of sea surface carbon dioxide not only showed the model provided a better representation of the [carbon cycle](stories/story-12/0) in some areas but also highlighted where the model needs to be improved.\r\n \r\nIt is important to get this right because it helps us understand how the way the ocean absorbs and releases carbon might change as a result of different amounts and patterns of warming. At the moment, the ocean is a sink for carbon emissions from human activities, so it is important to know how it may respond in the future.",
       "shortText": "##  Ocean Colour to Carbon Flux\r\n\r\nCCI Ocean Colour team has measured ocean chlorophyll concentration:\r\n\r\n- variations in ocean colour show the distribution of phytoplankton around the world\r\n- tiny marine organisms containing chlorophyll\r\n- linked to removal of CO2 from the atmosphere \r\n- and release of aerosols that influence cloud cover\r\n\r\nIncorporated into UK Met Office ocean-biogeochemical model:\r\n\r\n- improved representation of phytoplankton seasonal variation \r\n- and distribution in deeper parts of the ocean \r\n- better modelling of CO2 exchange between atmosphere and ocean\r\n- also showed where the model needs to be improved\r\n\r\nImportant to get this right, since the ocean is a large sink for carbon emissions from human activities.",
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