Commit f2791ed6 authored by Julia Wagemann's avatar Julia Wagemann
Browse files

Metadata update

parent e19260f7
......@@ -7580,6 +7580,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Siberia 2021 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite instruments capturing the Siberian wildfires in 2021.",
"image": "./img/310_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/310_fire_siberia_2021.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/310_fire_siberia_2021.ipynb",
"tags": {
"domain": "atmosphere",
"service": "AC SAF",
"platform": ["Metop-A", "Metop-B", "Metop-C", "Sentinel-3"],
"sensor": ["GOME-2", "OLCI"],
"tags": ["Absorbing Aerosol Index", "Top-of-atmosphere radiance"]
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -4052,6 +4052,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Amazonas 2019 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite instruments capturing the Amazon wildfires in 2019.",
"image": "./img/311_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/311_fire_amazon_2019.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/311_fire_amazon_2019.ipynb",
"tags": {
"domain": "atmosphere",
"service": "AC SAF",
"platform": ["Metop-A", "Metop-B", "Sentinel-5P"],
"sensor": ["GOME-2", "TROPOMI"],
"tags": ["Formaldehyde", "Carbon monoxide concentration (total column)"]
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -10152,6 +10152,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Siberia 2019 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite and model-based data capturing the wildfires in Siberia in 2019.",
"image": "./img/312_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/312_fire_siberia_2019.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/312_fire_siberia_2019.ipynb",
"tags": {
"domain": "atmosphere",
"service": ["AC SAF", "CAMS (Atmosphere)"],
"platform": ["Sentinel-3", "Sentinel-5P", "Metop-A", "Metop-B"],
"sensor": ["IASI" ,"GOME-2", "TROPOMI", "OLCI"],
"tags": ["Top-of-atmosphere radiance", "Fire Radiative Power", "Carbon monoxide concentration (total column)", "Absorbing Aerosol Index"]
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -13127,6 +13127,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - California 2020 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite instruments capturing the wildfires in California, USA in 2020.",
"image": "./img/313_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/313_fire_california_2020.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/313_fire_california_2020.ipynb",
"tags": {
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"tags": ["Top-of-atmosphere radiance", "Fire Radiative Power", "Carbon monoxide concentration (total column)", "Absorbing Aerosol Index", "Aerosol Optical Depth"]
},
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"language": "python",
......@@ -4465,6 +4465,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Chernobyl 2020 - Sentinel-3 SLSTR NRT Fire Radiative Power",
"description": "This notebook is a case study on 'wildfires' featuring how the Chernobyl fires in 2020 were captured by the Sentinel-3 SLSTR Near-Real-Time Fire Radiative Power (FRP) data.",
"image": "./img/314_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/314_fire_chernobyl_2020_Sentinel-3_SLSTR_NRT_FRP_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/314_fire_chernobyl_2020_Sentinel-3_SLSTR_NRT_FRP_L2.ipynb",
"tags": {
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"platform": "Sentinel-3",
"sensor": "SLSTR",
"tags": "Fire Radiative Power"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......
......@@ -4466,6 +4466,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - California 2020 - Sentinel-3 SLSTR NRT Fire Radiative Power",
"description": "This notebook is a case study on 'wildfires' featuring how the Californian fires in 2020 were captured by the Sentinel-3 SLSTR Near-Real-Time Fire Radiative Power (FRP) data",
"image": "./img/315_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/315_fire_california_2020_Sentinel-3_SLSTR_NRT_FRP_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/315_fire_california_2020_Sentinel-3_SLSTR_NRT_FRP_L2.ipynb",
"tags": {
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"platform": "Sentinel-3",
"sensor": "SLSTR",
"tags": "Fire Radiative Power"
},
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"language": "python",
......
......@@ -1195,6 +1195,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - California 2020 - Sentinel-3 SLSTR NRT Aerosol Optical Depth",
"description": "This notebook is a case study on 'wildfires' featuring how the Californian fires in 2020 were captured by the Sentinel-3 SLSTR Near-Real-Time Aerosol Optical Depth (AOD) data.",
"image": "./img/316_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/316_fire_california_2020_Sentinel-3_SLSTR_NRT_AOD_L2.ipynb ",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/316_fire_california_2020_Sentinel-3_SLSTR_NRT_AOD_L2.ipynb",
"tags": {
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"platform": "Sentinel-3",
"sensor": "SLSTR",
"tags": "Aerosol Optical Depth"
},
"kernelspec": {
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"language": "python",
......
......@@ -11967,6 +11967,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Indonesia 2015 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite and model-based data capturing the wildfires in Indonesia in 2015.",
"image": "./img/317_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/317_fire_indonesia_2015.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/317_fire_indonesia_2015.ipynb",
"tags": {
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"sensor": ["IASI" ,"GOME-2"],
"tags": ["Formaldehyde", "Carbon monoxide concentration (total column)", "Absorbing Aerosol Index", "Absorbing Aerosol Height"]
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -4545,6 +4545,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Indonesia 2020 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite and model-based data capturing the wildfires in Indonesia in 2020.",
"image": "./img/318_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/318_fire_indonesia_2020.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/318_fire_indonesia_2020.ipynb",
"tags": {
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},
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"language": "python",
......@@ -16129,6 +16129,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Wildfire - Portugal 2020 - Multi-data",
"description": "This notebook is a case study on 'wildfires' featuring different satellite and model-based data capturing the wildfires in Portugal in 2019.",
"image": "./img/319_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/319_fire_portugal_2020.ipynb",
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"tags": {
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"tags": ["Top-of-atmosphere radiance", "Fire Radiative Power", "Fire Weather Index", "Carbon monoxide concentration (total column)", "Ultraviolet Aerosol Index"]
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -3939,6 +3939,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Air Pollution - Map and time-series analysis of AC SAF Metop-A/B GOME-2 Tropospheric NO2 L3",
"description": "This notebook is a case study on 'air pollution' and features the mapping and time-series analysis of gridded (Level 3) tropospheric Nitrogen Dioxide data from the GOME-2 instrument onboard the Metop-A/B satellites.",
"image": "./img/321_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/321_air_pollution_map_time-series_Metop-AB_GOME-2_NO2Tropo_L3.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/321_air_pollution_map_time-series_Metop-AB_GOME-2_NO2Tropo_L3.ipynb",
"tags": {
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"service": "AC SAF",
"platform": ["Metop-A", "Metop-B"],
"sensor": "GOME-2",
"tags": "Nitrogen dioxide concentration (tropospheric column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......
......@@ -2915,6 +2915,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Air Pollution - Produce monthly AC SAF Metop-A/B GOME-2 L3 climate products",
"description": "This notebook is a case study on 'air pollution' and shows you how you can produce gridded (Level 3) tropospheric Nitrogen Dioxide (NO2) maps from AC SAF Metop-A/B GOME-2 Level 2 data.",
"image": "./img/322_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/322_air_pollution_produce_gridded_Metop-AB_GOME-2_NO2Tropo_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/322_air_pollution_produce_gridded_Metop-AB_GOME-2_NO2Tropo_L2.ipynb",
"tags": {
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"service": "AC SAF",
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"sensor": "GOME-2",
"tags": "Nitrogen dioxide concentration (tropospheric column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......
......@@ -11157,6 +11157,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Air Pollution - AC SAF Metop-A/B GOME-2 Tropospheric NO2 anomaly map",
"description": "This notebook is a case study on 'air pollution' and shows you how to produce a gridded (Level 3) tropospheric Nitrogen Dioxide (NO2) anomaly map for Europe based on AC SAF Metop-A/B GOME-2 Level 2 data.",
"image": "./img/323_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/323_air_pollution_map_europe_2020_Metop-AB_GOME-2_NO2Tropo_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/323_air_pollution_map_europe_2020_Metop-AB_GOME-2_NO2Tropo_L2.ipynb",
"tags": {
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"service": "AC SAF",
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"sensor": "GOME-2",
"tags": "Nitrogen dioxide concentration (tropospheric column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -4389,6 +4389,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Air Pollution - AC SAF Metop-A/B GOME-2 Tropospheric NO2 longterm time-series",
"description": "This notebook is a case study on 'air pollution' and shows you how to analyse the time-series of tropospheric Nitrogen Dioxide (NO2) based on Metop-A/B GOME-2 Level 2 and Level 3 data.",
"image": "./img/324_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/324_air_pollution_time-series_europe_2020_Metop-AB_GOME-2_NO2Tropo_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/324_air_pollution_time-series_europe_2020_Metop-AB_GOME-2_NO2Tropo_L2.ipynb",
"tags": {
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"service": "AC SAF",
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"sensor": "GOME-2",
"tags": "Nitrogen dioxide concentration (tropospheric column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......
......@@ -2585,6 +2585,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Air Pollution - Sentinel-5P TROPOMI Tropospheric NO2 anomaly maps",
"description": "This notebook is a case study on 'air pollution' and shows you how to produce a gridded (Level 3) tropospheric Nitrogen Dioxide (NO2) anomaly map for Europe based on Sentinel-5P TROPOMI Level 2 data.",
"image": "./img/325_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/325_air_pollution_map_europe_2020_Sentinel-5P_TROPOMI_NO2Tropo_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/325_air_pollution_map_europe_2020_Sentinel-5P_TROPOMI_NO2Tropo_L2.ipynb",
"tags": {
"domain": "atmosphere",
"platform": "Sentinel-5P",
"sensor": "TROPOMI",
"tags": "Nitrogen dioxide concentration (tropospheric column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -800,6 +800,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Air Pollution - Sentinel-5P TROPOMI Tropospheric NO2 time-series analysis",
"description": "This notebook is a case study on 'air pollution' and shows you how to analyse the time-series of tropospheric Nitrogen Dioxide (NO2) based on Sentinel-5P TROPOMI Level 2 data.",
"image": "./img/326_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/326_air_pollution_time-series_europe_2020_Sentinel-5P_TROPOMI_NO2Tropo_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/326_air_pollution_time-series_europe_2020_Sentinel-5P_TROPOMI_NO2Tropo_L2.ipynb",
"tags": {
"domain": "atmosphere",
"platform": "Sentinel-5P",
"sensor": "TROPOMI",
"tags": "Nitrogen dioxide concentration (tropospheric column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -8305,6 +8305,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Stratospheric Ozone - Antarctic Ozone hole 2019 - Multi-data",
"description": "This notebook is a case study on 'stratospheric ozone' featuring different satellite- and model-based data capturing the Antarctic ozone hole in 2019.",
"image": "./img/331_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/331_stratospheric_ozone_Antarctic_2019.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/331_stratospheric_ozone_Antarctic_2019.ipynb",
"tags": {
"domain": "atmosphere",
"service": ["AC SAF", "CAMS (Atmosphere)"],
"platform": ["Metop-A", "Metop-B"],
"sensor": ["TROPOMI", "IASI"],
"tags": "Ozone concentration (total column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -4334,6 +4334,17 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Stratospheric Ozone - Antarctic Ozone hole 2019 - CAMS EAC4 Animation",
"description": "This notebook is a case study on 'stratospheric ozone' animating CAMS global reanalysis (EAC4) data showing the development of the Antarctic ozone hole in September 2019.",
"image": "./img/332_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/332_stratospheric_ozone_Antarctic_2019_CAMS_animation.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/332_stratospheric_ozone_Antarctic_2019_CAMS_animation.ipynb",
"tags": {
"domain": "atmosphere",
"service": "CAMS (Atmosphere)",
"tags": "Ozone concentration (total column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......
......@@ -35076,6 +35076,19 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Stratospheric Ozone - Antarctic Ozone hole 2020 - AC SAF Metop-ABC GOME-2 L2",
"description": "This notebook is a case study on 'stratospheric ozone' featuring AC SAF Metop-A/B/C GOME-2 Level 2 data capturing the Antarctic ozone hole in 2020.",
"image": "./img/333_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/333_stratospheric_ozone_Antarctic_2020_Metop-ABC_GOME-2_O3_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/333_stratospheric_ozone_Antarctic_2020_Metop-ABC_GOME-2_O3_L2.ipynb",
"tags": {
"domain": "atmosphere",
"service": "AC SAF",
"platform": ["Metop-A", "Metop-B", "Metop-C"],
"sensor": "GOME-2",
"tags": "Ozone concentration (total column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -37712,6 +37712,18 @@
}
],
"metadata": {
"author": "Julia Wagemann",
"title": "Case study - Stratospheric Ozone - Arctic Ozone hole 2020 - Metop-ABC IASI L2",
"description": "This notebook is a case study on 'stratospheric ozone' featuring Metop-A/B/C IASI Level 2 data capturing the Arctic ozone hole in 2020.",
"image": "./img/334_img.png",
"github": "https://gitlab.eumetsat.int/eumetlab/atmosphere/atmosphere/-/blob/master/30_case_studies/334_stratospheric_ozone_Arctic_2020_Metop-ABC_IASI_O3_L2.ipynb",
"link": "https://ltpy.adamplatform.eu/hub/user-redirect/lab/tree/30_case_studies/334_stratospheric_ozone_Arctic_2020_Metop-ABC_IASI_O3_L2.ipynb",
"tags": {
"domain": "atmosphere",
"platform": ["Metop-A", "Metop-B", "Metop-C"],
"sensor": "IASI",
"tags": "Ozone concentration (total column)"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
......@@ -37728,8 +37740,7 @@
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.4"
},
"toc-showmarkdowntxt": false
}
},
"nbformat": 4,
"nbformat_minor": 4
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