index.json

{
  "entries": [
    {
      "id": "tutorial-ecv-for-climate-change-global-temperature-change",
      "title": "How to work with the Essential Climate Variables on Earth Data Hub",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-ecv-for-climate-change-global-temperature-change.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-ecv-for-climate-change-global-temperature-change.html",
      "thumbnail_url": "./use-cases/tutorial-ecv-for-climate-change-global-temperature-change.jpg"
    },
    {
      "id": "tutorial-era5-land-floods-precipitation-anomaly-in-greece",
      "title": "ERA5 land: storm Daniel flood, Greece 2023",
      "description": "This notebook will provide you guidance on how to access and use the reanalysis-era5-land-no-antartica-v0.zarr dataset on Earth Data Hub. The first goal is to compute the total precipitation observed during the Storm Daniel event, from 6 to 7 September 2023, in Greece, and compare it with the average 1991-2020 precipitation in the same area. The second goal is to compare the 2023 cumulative precipitation on a specific location (Greece interland) with the cumulative precipitation of past years (1991-2022) for the same location.",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-era5-land-floods-precipitation-anomaly-in-greece.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-era5-land-floods-precipitation-anomaly-in-greece.html",
      "thumbnail_url": "./use-cases/tutorial-era5-land-floods-precipitation-anomaly-in-greece.jpg",
      "collection": "era5",
      "dataset": "reanalysis-era5-land"
    },
    {
      "id": "tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany",
      "title": "ERA5 single levels: climatological analysis of temperature in Germany",
      "description": "This notebook will provide you guidance on how to access and use the reanalysis-era5-single-levels.zarr dataset on Earth Data Hub. The first goal is to compute the 2 metre temperature anomaly for the month of October 2023, in the Germany area, against the 1981-2010 reference period. The second goal is to compute the 2 metre temperature climatology (monthly means and standard deviations) in Berlin for the same reference period and compare it with the monthly averages of 2023.",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany.html",
      "thumbnail_url": "./use-cases/tutorial-era5-single-levels-climatological-analysis-of-temperature-in-germany.jpg",
      "collection": "era5",
      "dataset": "reanalysis-era5-single-levels"
    },
    {
      "id": "tutorial-copernicus-dem-europe",
      "title": "How to work with the Copernicus DEM data on Earth Data Hub",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-copernicus-dem-europe.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-copernicus-dem-europe.html",
      "thumbnail_url": "./use-cases/tutorial-copernicus-dem-europe.jpg"
    },
    {
      "id": "tutorial-hybrid-world-population",
      "title": "How to work with Hybrid gridded demographic data on Earth Data Hub",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-hybrid-world-population.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-hybrid-world-population.html",
      "thumbnail_url": "./use-cases/tutorial-hybrid-world-population.jpg"
    },
    {
      "id": "tutorial-population-weighted-temperature",
      "title": "Multisource datasets integration: population weighted temperature",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-population-weighted-temperature.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-population-weighted-temperature.html",
      "thumbnail_url": "./use-cases/tutorial-population-weighted-temperature.jpg"
    },
    {
      "id": "tutorial-climate-dt-single-levels-heating-degree-days",
      "title": "Climate Adaptation Digital Twin: heating degree days",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-climate-dt-single-levels-heating-degree-days.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-climate-dt-single-levels-heating-degree-days.html",
      "thumbnail_url": "./use-cases/tutorial-climate-dt-single-levels-heating-degree-days.png"
    },
    {
      "id": "tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany",
      "title": "Climate Adaptation Digital Twin: high resolution fields on a single level or surface",
      "description": "This notebook will provide you guidance on how to access and use the SSP3-7.0-IFS-NEMO-0001-high-sfc-v0.zarr datset on Earth Data Hub. This is a sample dataset for the Destine Climate Adaptation Digital Twin.\n\nOur first goal is to plot the mean 2 metre temperature in January 2025 over Central Europe.\n\nOur second goal is to compute the 2 metre temperature climatology (monthly means and standard deviations) in Berlin for the 2020-2025 reference period.",
      "source": "https://github.com/SercoSPA/DESP-UserWorkflowService-Templates/blob/main/EarthDataHub/tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany.ipynb",
      "try_on_insula": true,
      "export": "./use-cases/tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany.html",
      "thumbnail_url": "./use-cases/tutorial-climate-dt-single-levels-high-resolution-climatological-analysis-of-temperature-in-germany.png",
      "collection": "d1-climate-dt-ScenarioMIP-SSP3-7.0-IFS-NEMO",
      "dataset": "0001-high-sfc"
    }
  ]
}