{"id": "ara-v1-1h-2500m", "type": "Collection", "links": [{"rel": "items", "type": "application/geo+json", "href": "https://cstac.discovery.eodc.eu/collections/ara-v1-1h-2500m/items", "auth:refs": ["oidc"]}, {"rel": "parent", "type": "application/json", "href": "https://cstac.discovery.eodc.eu/"}, {"rel": "root", "type": "application/json", "href": "https://cstac.discovery.eodc.eu/"}, {"rel": "self", "type": "application/json", "href": "https://cstac.discovery.eodc.eu/collections/ara-v1-1h-2500m", "auth:refs": ["oidc"]}, {"rel": "http://www.opengis.net/def/rel/ogc/1.0/queryables", "type": "application/schema+json", "title": "Queryables", "href": "https://cstac.discovery.eodc.eu/collections/ara-v1-1h-2500m/queryables"}], "title": "Austrian Reanalysis with AROME (ARA) v1 - hourly", "access": {"visibility": "public", "allowed_users": [], "allowed_domains": ["geosphere.at"], "allowed_organisations": []}, "assets": {"documentation": {"href": "https://data.eodc.eu/collections/ARA/README.txt", "type": "application/txt", "roles": ["documentation"], "title": "README"}}, "extent": {"spatial": {"bbox": [[5.497999668121338, 42.98099899291992, 22.108001708984375, 51.819000244140625]]}, "temporal": {"interval": [["2012-01-01T00:00:00+00:00", "2021-12-31T00:00:00+00:00"]]}}, "license": "CC-BY-4.0", "providers": [{"url": "https://geosphere.at", "name": "GeoSphere Austria", "roles": ["producer", "licensor"]}, {"url": "https://eodc.eu/", "name": "EODC", "roles": ["host"]}], "description": "\u201cAustrian Reanalysis with AROME\u201d (ARA) comprises a high-resolution ensemble of reanalysis data for Austria. Reanalysis combines model data with observations from historical periods to create a consistent best estimate for essential climate variables. This reanalysis is primarily based on dynamical downscaling of the ECMWF ERA5 dataset using GeoSphere Austria\u2019s non-hydrostatic model \u201cApplication of Research to Operations at Mesoscale\u201d (AROME) to a 2.5 km equidistant grid centred over the Austrian Alps. The three-dimensional variational assimilation (3DVAR) mechanism of the AROME model, in combination with the \u201cConvection-permitting Limited Area Ensemble Forecasting\u201d system (C-LAEF) allows for assimilation of observational data from various sources such as satellites, radiosondes, aircrafts, wind profilers etc., as well as the creation of a multi-member ensemble with consistent atmospheric fields. Here over 50 2D- and 10 3D-parameters, are supplied on different altitude-, pressure- and model-levels from a total of 11 ensemble members, providing vast potential for application, reaching from evaluation and calibration of weather- and climate-models to assessment of expected climate risks. \n\nThe development and production of ARA were funded by the Austrian Research Promotion Agency (FFG) within the ASAP-17 programme through the project \u201cHigh resolution Austrian Re-analysis ensemble with AROME (ARA)\u201d, coordinated by GeoSphere Austria in collaboration with University of Graz.", "stac_version": "1.1.0", "cube:variables": {"tp": {"type": "data", "unit": "mm", "dimensions": ["time", "lat", "lon"], "description": "total precipitation"}, "t2m": {"type": "data", "unit": "K", "dimensions": ["time", "lat", "lon"], "description": "air temperature"}}, "cube:dimensions": {"lat": {"axis": "y", "step": "2.5 km", "type": "spatial", "unit": "degree_north", "extent": [42.981, 51.819], "description": "latitude"}, "lon": {"axis": "x", "step": "2.5 km", "type": "spatial", "unit": "degree_east", "extent": [5.498, 22.102], "description": "longitude"}, "time": {"step": "PT1H", "type": "temporal", "unit": "hour", "extent": ["2012-01-01T00:00:00Z", "2021-12-31T23:00:00Z"], "description": "time"}}, "stac_extensions": ["https://stac-extensions.github.io/datacube/v2.2.0/schema.json", "https://stac-extensions.github.io/authentication/v1.1.0/schema.json"], "auth:schemes": {"oidc": {"type": "openIdConnect", "openIdConnectUrl": "https://bouncer.eodc.eu/auth/realms/EODC/.well-known/openid-configuration"}}}