{"id":"ara-v1-1d-2500m","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://cstac.services.eodc.eu/collections/ara-v1-1d-2500m/items"},{"rel":"parent","type":"application/json","href":"https://cstac.services.eodc.eu/"},{"rel":"root","type":"application/json","href":"https://cstac.services.eodc.eu/"},{"rel":"self","type":"application/json","href":"https://cstac.services.eodc.eu/collections/ara-v1-1d-2500m"},{"rel":"http://www.opengis.net/def/rel/ogc/1.0/queryables","type":"application/schema+json","title":"Queryables","href":"https://cstac.services.eodc.eu/collections/ara-v1-1d-2500m/queryables"}],"title":"Austrian Reanalysis with AROME (ARA) v1 - daily","access":{"visibility":"public","allowed_users":[],"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":"“Austrian Reanalysis with AROME” (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’s non-hydrostatic model “Application of Research to Operations at Mesoscale” (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 “Convection-permitting Limited Area Ensemble Forecasting” 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 “High resolution Austrian Re-analysis ensemble with AROME (ARA)”, coordinated by GeoSphere Austria in collaboration with University of Graz.","stac_version":"1.1.0","cube:variables":{"ps":{"type":"data","unit":"Pa","dimensions":["time","lat","lon"],"description":"surface pressure"},"tp":{"type":"data","unit":"kg/m2","dimensions":["time","lat","lon"],"description":"total precipitation"},"ssr":{"type":"data","unit":"W/m2","dimensions":["time","lat","lon"],"description":"net shortwave radiation flux"},"t2m":{"type":"data","unit":"K","dimensions":["time","lat","lon"],"description":"air temperature"},"rh2m":{"type":"data","unit":"%","dimensions":["time","lat","lon"],"description":"relative humidity"},"u10m":{"type":"data","unit":"m/s","dimensions":["time","lat","lon"],"description":"eastward wind"},"v10m":{"type":"data","unit":"m/s","dimensions":["time","lat","lon"],"description":"northward wind"},"swrad":{"type":"data","unit":"W/m2","dimensions":["time","lat","lon"],"description":"surface global radiaition"},"ws10m":{"type":"data","unit":"m/s","dimensions":["time","lat","lon"],"description":"wind speed"}},"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":"P1D","type":"temporal","unit":"day","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"]}