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On May 9, 2022 at 8:59:50 AM UTC,
gletsos:
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| 3 | "author_email": null, | 3 | "author_email": null, | ||
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| 11 | "key": "Data timespan", | 11 | "key": "Data timespan", | ||
| 12 | "value": "2015-2022" | 12 | "value": "2015-2022" | ||
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| 27 | "key": "Organization", | 27 | "key": "Organization", | ||
| 28 | "value": "National Centers for Environmental Information, | 28 | "value": "National Centers for Environmental Information, | ||
| 29 | NESDIS, NOAA, U.S. Department of Commerce" | 29 | NESDIS, NOAA, U.S. Department of Commerce" | ||
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| 32 | "key": "Time interval", | 32 | "key": "Time interval", | ||
| 33 | "value": "Undefined" | 33 | "value": "Undefined" | ||
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| 42 | digicirc.eu/uploads/group/2021-10-21-122928.285823climate-change.jpg", | 42 | digicirc.eu/uploads/group/2021-10-21-122928.285823climate-change.jpg", | ||
| 43 | "name": "climate-change", | 43 | "name": "climate-change", | ||
| 44 | "title": "Climate change" | 44 | "title": "Climate change" | ||
| 45 | } | 45 | } | ||
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| 48 | "isopen": true, | 48 | "isopen": true, | ||
| 49 | "license_id": "noaa-policy", | 49 | "license_id": "noaa-policy", | ||
| 50 | "license_title": "NOAA's policy", | 50 | "license_title": "NOAA's policy", | ||
| 51 | "license_url": "https://www.ngdc.noaa.gov/ngdcinfo/privacy.html", | 51 | "license_url": "https://www.ngdc.noaa.gov/ngdcinfo/privacy.html", | ||
| 52 | "maintainer": null, | 52 | "maintainer": null, | ||
| 53 | "maintainer_email": null, | 53 | "maintainer_email": null, | ||
| 54 | "metadata_created": "2022-05-05T13:33:37.423528", | 54 | "metadata_created": "2022-05-05T13:33:37.423528", | ||
| t | 55 | "metadata_modified": "2022-05-09T07:56:07.857461", | t | 55 | "metadata_modified": "2022-05-09T08:59:49.886149", |
| 56 | "name": "global-forecast-system-gfs-1-deg", | 56 | "name": "global-forecast-system-gfs-1-deg", | ||
| 57 | "notes": "The Global Forecast System (GFS) is a weather forecast | 57 | "notes": "The Global Forecast System (GFS) is a weather forecast | ||
| 58 | model produced by the National Centers for Environmental Prediction | 58 | model produced by the National Centers for Environmental Prediction | ||
| 59 | (NCEP). Dozens of atmospheric and land-soil variables are available | 59 | (NCEP). Dozens of atmospheric and land-soil variables are available | ||
| 60 | through this dataset, from temperatures, winds, and precipitation to | 60 | through this dataset, from temperatures, winds, and precipitation to | ||
| 61 | soil moisture and atmospheric ozone concentration. The entire globe is | 61 | soil moisture and atmospheric ozone concentration. The entire globe is | ||
| 62 | covered by the GFS at a base horizontal resolution of 18 miles (28 | 62 | covered by the GFS at a base horizontal resolution of 18 miles (28 | ||
| 63 | kilometers) between grid points, which is used by the operational | 63 | kilometers) between grid points, which is used by the operational | ||
| 64 | forecasters who predict weather out to 16 days in the future. | 64 | forecasters who predict weather out to 16 days in the future. | ||
| 65 | Horizontal resolution drops to 44 miles (70 kilometers) between grid | 65 | Horizontal resolution drops to 44 miles (70 kilometers) between grid | ||
| 66 | point for forecasts between one week and two weeks. The GFS model is a | 66 | point for forecasts between one week and two weeks. The GFS model is a | ||
| 67 | coupled model, composed of four separate models (an atmosphere model, | 67 | coupled model, composed of four separate models (an atmosphere model, | ||
| 68 | an ocean model, a land/soil model, and a sea ice model), which work | 68 | an ocean model, a land/soil model, and a sea ice model), which work | ||
| 69 | together to provide an accurate picture of weather conditions. Changes | 69 | together to provide an accurate picture of weather conditions. Changes | ||
| 70 | are regularly made to the GFS model to improve its performance and | 70 | are regularly made to the GFS model to improve its performance and | ||
| 71 | forecast accuracy. This dataset is run four times daily at 00z, 06z, | 71 | forecast accuracy. This dataset is run four times daily at 00z, 06z, | ||
| 72 | 12z and 18z out to 384 hours in two parts. The forecast steps out to | 72 | 12z and 18z out to 384 hours in two parts. The forecast steps out to | ||
| 73 | 192 hours have a 1.0 degree horizontal resolution and a 3 hour | 73 | 192 hours have a 1.0 degree horizontal resolution and a 3 hour | ||
| 74 | temporal resolution. Forecast steps from 192 to 384 hours have a 2.5 | 74 | temporal resolution. Forecast steps from 192 to 384 hours have a 2.5 | ||
| 75 | degree horizontal resolution and a 12 hour temporal resolution.", | 75 | degree horizontal resolution and a 12 hour temporal resolution.", | ||
| 76 | "num_resources": 3, | 76 | "num_resources": 3, | ||
| 77 | "num_tags": 5, | 77 | "num_tags": 5, | ||
| 78 | "organization": { | 78 | "organization": { | ||
| 79 | "approval_status": "approved", | 79 | "approval_status": "approved", | ||
| 80 | "created": "2020-12-24T09:12:04.243558", | 80 | "created": "2020-12-24T09:12:04.243558", | ||
| 81 | "description": "Blue economy aims at fostering sustainable | 81 | "description": "Blue economy aims at fostering sustainable | ||
| 82 | development of maritime sectors, promoting growth and innovation, | 82 | development of maritime sectors, promoting growth and innovation, | ||
| 83 | safeguarding healthy seas and their ecosystems. ICT allows for synergy | 83 | safeguarding healthy seas and their ecosystems. ICT allows for synergy | ||
| 84 | and linkages across established sectors such as fisheries, logistics, | 84 | and linkages across established sectors such as fisheries, logistics, | ||
| 85 | tourism as well as new emerging ones such as aquaculture, blue | 85 | tourism as well as new emerging ones such as aquaculture, blue | ||
| 86 | biotechnology, etc.", | 86 | biotechnology, etc.", | ||
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| 88 | "image_url": "2021-10-21-123724.606603blue-economy.jpg", | 88 | "image_url": "2021-10-21-123724.606603blue-economy.jpg", | ||
| 89 | "is_organization": true, | 89 | "is_organization": true, | ||
| 90 | "name": "blue-economy", | 90 | "name": "blue-economy", | ||
| 91 | "state": "active", | 91 | "state": "active", | ||
| 92 | "title": "Blue Economy", | 92 | "title": "Blue Economy", | ||
| 93 | "type": "organization" | 93 | "type": "organization" | ||
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| 181 | "name": "Precipitation", | 181 | "name": "Precipitation", | ||
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| 183 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
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| 188 | "name": "Temperature", | 188 | "name": "Temperature", | ||
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| 190 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
| 191 | }, | 191 | }, | ||
| 192 | { | 192 | { | ||
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| 194 | "id": "cf80fa67-9a66-4bcb-8b46-768635c5143e", | 194 | "id": "cf80fa67-9a66-4bcb-8b46-768635c5143e", | ||
| 195 | "name": "Weather", | 195 | "name": "Weather", | ||
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| 204 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
| 205 | } | 205 | } | ||
| 206 | ], | 206 | ], | ||
| 207 | "title": "Global Forecast System (GFS) [1 Deg.]", | 207 | "title": "Global Forecast System (GFS) [1 Deg.]", | ||
| 208 | "type": "dataset", | 208 | "type": "dataset", | ||
| 209 | "url": | 209 | "url": | ||
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| 211 | "version": null | 211 | "version": null | ||
| 212 | } | 212 | } |