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2023-07_Pilot-ER/sections/04-01-datacubes.adoc

@@ -54,7 +54,7 @@ A data cube which contains various climate data records can be generally referre
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 |===
-|Data Cube name |Climate Data Records |Provider |Year of release |Data source |Accessibility |Data format |Temporal coverage |Temporal resolution |Spatial resolution |Spatial coverage
+|Data Cube name |Climate Data Records |Provider |Year of release |Data source |Accessibility |Data format |Temporal coverage
 |https://training.eumetsat.int/course/view.php?id=399[EUMETSAT Drought & Vegetation Data Cube]
 |Solar radiation: Global Radiation, Direct normal Solar Radiation, Sunshine Duration, other: Land Surface Temperature, Reference Evapotranspiration, NDVI, Fractional Vegetation Cover, Leaf Area Index, Fraction of absorbed photosynthetically active radiation, Soil Wetness Index (root zone), Precipitation, Air temperature at 2m 
 |EUMETSAT
@@ -63,9 +63,7 @@ A data cube which contains various climate data records can be generally referre
 |Free after enrollment (EUMETSAT Prototype Satellite Data Cube)
 |CF compliant netCDF4 via a THREDDS server
 |Solar radiation: 1983-2020, other: 2004-2020, SWI 1992-2020, Precipitation 1982-2020, T2m 1979-2020
-|Solar radiation: Day, month, other: hourly (LST), 10-daily (NDVI)
-|0.05° x 0.05° degrees
-|Europe
+
 |https://doi.org/10.5281/zenodo.7473332[mesogeos - a Daily Datacube for the Modeling and Analysis of Wildfires in the Mediterranean]
 |Solar radiation: mean daily surface solar radiation downwards from ERA5-Land, other: dynamic variables - previous day Leaf Area Index, evapotransiration, Land Surface Temperature, meteorological data, fire variables and Fire Weather Index, static variables - roads density, population density and topography layers
 |One of many data cubes created within the Deep Cube (https://deepcube-h2020.eu/[Horizon 2020 Project “Explainable AI pipelines for big Copernicus data""])
@@ -74,9 +72,7 @@ A data cube which contains various climate data records can be generally referre
 |Free, https://github.com/Orion-AI-Lab/mesogeos[with open code at github]
 |.zarr (file storage format for chunked, compressed, N-dimensional arrays based on an open-source specification), Jupyter Notebooks (python)
 |2002 - 2022
-|Day
-|1km x 1km
-|Mediterranean:Lon: 10.72 W, to 30.07 E, Lat: 36.74 to 47.7 N
+
 |https://deepesdl.readthedocs.io/en/latest/datasets/ESDC/[The Earth System Data Cube (ESDC) ]
 |Solar radiation: Surface Net Solar Radiation, other: the cube includes all important meteorological variables (the list is too long to include in this table)
 |DeepESDL Team (https://www.earthsystemdatalab.net/[ESA-funded project Earth System Data Lab])
@@ -85,9 +81,7 @@ A data cube which contains various climate data records can be generally referre
 |Free
 |Directory of NetCDF files based on xcube, can also be accessed via a dedicated ESDL THREDDS server which supports the OPeNDAP and WCS
 |1979 - 2021
-|1h
-|0.25 degree
-|Global
+
 |https://doi.org/10.5281/zenodo.7252361[MADIA - Meteorological variables for agriculture (Italy)]
 |Solar radiation: mean of daily surface solar radiation downwards (shortwave radiation), other 10-day gridded agro-meteorological data: air temperature and humidity, precipitation, wind speed, evapotranspiration
 |Council for Agricultural Research and Economics–Research Centre for Agriculture and Environment
@@ -96,9 +90,7 @@ A data cube which contains various climate data records can be generally referre
 |Free
 |NetCDF, csv and vector file (Shapefile) for administrative regions (NUTS 2 and 3)
 |1981 - 2021
-|10-day, also climate normals, minimum, maximum and the main quantiles
-|0.25 degree
-|Italy: 34.875–48.125 N, 4.875 – 20.125 E 
+
 |https://ecodatacube.eu[Open Environmental Data Cube]
 |Climate: air temperature (Min, Mean, Max), land surface temperature (Min, Mean, Max), precipitation (Daily Sum), other: natural disasters, air quality, land cover, terrain, soil, forest and vegetation
 |OpenGeoHub, CVUT Prague, mundialis,Terrasigna, MultiOne (https://opendatascience.eu/geoharmonizer-project/[Horizon2020 Project: “Geo-harmonizer: EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine"])
@@ -107,9 +99,6 @@ A data cube which contains various climate data records can be generally referre
 |Free
 |WFS for vector data, Cloud Optimised GeoTIFFs for raster datasets (allowing import, subset, crop and overlay parts of data for the local area.)
 |2000 - 2020 and Predictions based on Ensemble Machine Learning
-|Day
-|1km (resampled)
-|Europe
 |===
 
 Analysis Ready Data Cubes (ARDCs) play an important role in handling large volumes of data (such as satellite-based CDRs). They are often deployed on different spatial scales and consist of  datasets dedicated for particular application. This makes them more accessible, easier to use and less costly for the users.