INSPIRE - Annex III - Meteorological Geographical Features - PointTimeSeriesObservation - Daily weather measurements of AGE

The metadata record summarizes information for time series of hourly weather measurements from the 18 meteo stations of AGE. The hourly data is shown in local wintertime (GMT+1). The dataset goes back one year in time, starting at the foundation of each station. The kind of measurements differ from station to station. This dataset is available via the WMS Time (https://wms.inspire.geoportail.lu/geoserver/mf/wms?service=WMS&version=1.3.0&request=GetCapabilities) and WFS (https://wms.inspire.geoportail.lu/geoserver/mf/wfs?service=WFS&version=2.0.0&request=GetCapabilities) API protocols. See for example the following sample requests: WFS: https://wms.inspire.geoportail.lu/geoserver/mf/wfs?SERVICE=wfs&VERSION=2.0.0&REQUEST=GetFeature&TRANSPARENT=true&TYPENAME=MF.PointTimeSeriesObservation_Hourly_AGE_sum_nn050&srsName=EPSG:3857&OUTPUTFORMAT=application/json&CQL_FILTER=datetime%20BEFORE%202020-05-31T10:00:00Z%20%20AND%20datetime%20AFTER%202020-04-01T10:00:00Z%20AND%20name_descr=%20%27Bigonville%27 WMS Time: https://wms.inspire.geoportail.lu/geoserver/mf/wms?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&FORMAT=image%2Fpng&TRANSPARENT=true&STYLES&LAYERS=mf%3AMF.PointTimeSeriesObservation_Hourly_AGE_sum_nn050&CRS=EPSG%3A3035&WIDTH=474&HEIGHT=769&BBOX=2914640.6691353433%2C4006619.263203916%2C3031916.5131074684%2C4079000.448155462&TIME=2020-06-02T14:00:00.000Z Data is transformed into INSPIRE data model.

The metadata record summarizes information for time series of daily weather measurements from the meteo stations of ASTA. The dataset goes back a maximum of two years in time, starting at the foundation of each station. The kind of measurements differ from station to station. This dataset is available via the WMS Time (https://wms.inspire.geoportail.lu/geoserver/mf/wms?service=WMS&version=1.3.0&request=GetCapabilities) and WFS (https://wms.inspire.geoportail.lu/geoserver/mf/wfs?service=WFS&version=2.0.0&request=GetCapabilities) API protocols. See for example the following sample requests: WFS: https://wms.inspire.geoportail.lu/geoserver/mf/wfs?SERVICE=wfs&VERSION=2.0.0&REQUEST=GetFeature&TRANSPARENT=true&TYPENAME=MF.PointTimeSeriesObservation_Daily_ASTA_avg_ta200&srsName=EPSG:3857&OUTPUTFORMAT=application/json&CQL_FILTER=datetime%20BEFORE%202025-01-30T00:00:00Z%20%20AND%20datetime%20AFTER%202025-01-01T00:00:00Z%20AND%20name_descr=%20%27Arsdorf%27 WMS Time: https://wms.inspire.geoportail.lu/geoserver/mf/wms?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&FORMAT=image%2Fpng&TRANSPARENT=true&STYLES&LAYERS=mf%3AMF.PointTimeSeriesObservation_Daily_ASTA_avg_ta200&CRS=EPSG%3A3035&WIDTH=474&HEIGHT=769&BBOX=2914640.6691353433%2C4006619.263203916%2C3031916.5131074684%2C4079000.448155462&TIME=2025-01-02T00:00:00.000Z Data is transformed into INSPIRE data model.

The metadata record summarizes information for time series of hourly weather measurements from the meteo stations of ASTA. The hourly data is shown in local wintertime (GMT+1). The dataset goes back a maximum of one year in time, starting at the foundation of each station. The kind of measurements differ from station to station. This dataset is available via the WMS Time (https://wms.inspire.geoportail.lu/geoserver/mf/wms?service=WMS&version=1.3.0&request=GetCapabilities) and WFS (https://wms.inspire.geoportail.lu/geoserver/mf/wfs?service=WFS&version=2.0.0&request=GetCapabilities) API protocols. See for example the following sample requests: WFS: https://wms.inspire.geoportail.lu/geoserver/mf/wfs?SERVICE=wfs&VERSION=2.0.0&REQUEST=GetFeature&TRANSPARENT=true&TYPENAME=MF.PointTimeSeriesObservation_Hourly_ASTA_avg_ta200&srsName=EPSG:3857&OUTPUTFORMAT=application/json&CQL_FILTER=datetime%20BEFORE%202025-01-31T10:00:00Z%20%20AND%20datetime%20AFTER%202025-01-24T10:00:00Z%20AND%20name_descr=%20%27Arsdorf%27 WMS Time: https://wms.inspire.geoportail.lu/geoserver/mf/wms?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&FORMAT=image%2Fpng&TRANSPARENT=true&STYLES&LAYERS=mf%3AMF.PointTimeSeriesObservation_Hourly_ASTA_avg_ta200&CRS=EPSG%3A3035&WIDTH=474&HEIGHT=769&BBOX=2914640.6691353433%2C4006619.263203916%2C3031916.5131074684%2C4079000.448155462&TIME=2024-01-22T14:00:00.000Z Data is transformed into INSPIRE data model.

The metadata record summarizes information for time series of daily weather measurements from Luxembourg/Findel Airport. The following measurements are recorded: - Daily maximum air temperature (°C) at a height of 2 m above ground - Daily minimum air temperature (°C) at a height of 2 m above ground - Daily amount of precipitation (mm). The observational days are defined from 06:00 UTC to 06 UTC of the following day. The current elevation of the station is 376.1 m. The record covers the period 1947-dato and is updated regularly on a monthly basis. The meteorological station is part of the WMO Regional Basic Synoptic Network (WMO identifier 06590). The data is free of charge and can be requested via e-mail from the Climatology Department at MeteoLux. The synoptic observations are collected in real time, are quality controlled and archived in a climate data management system of MeteoLux. This dataset is available via the WMS Time (https://wms.inspire.geoportail.lu/geoserver/mf/wms?service=WMS&version=1.3.0&request=GetCapabilities) and WFS (https://wms.inspire.geoportail.lu/geoserver/mf/wfs?service=WFS&version=2.0.0&request=GetCapabilities) API protocols. See for example the following sample requests: WFS: https://wms.inspire.geoportail.lu/geoserver/mf/wfs?SERVICE=wfs&VERSION=2.0.0&REQUEST=GetFeature&TRANSPARENT=true&TYPENAME=MF.PointTimeSeriesObservation_Daily_FindelAirport_maxtemperature&srsName=EPSG:3857&OUTPUTFORMAT=application/json&CQL_FILTER=datetime%20BEFORE%202020-03-01T00:00:00Z%20%20AND%20datetime%20AFTER%202020-01-31T00:00:00Z%20AND%20name_descr=%20%27Findel%20Airport%27 WMS Time: https://wms.inspire.geoportail.lu/geoserver/mf/wms?SERVICE=WMS&VERSION=1.3.0&REQUEST=GetMap&FORMAT=image%2Fpng&TRANSPARENT=true&STYLES&LAYERS=mf%3AMF.PointTimeSeriesObservation_Daily_FindelAirport_maxtemperature&CRS=EPSG%3A3035&WIDTH=474&HEIGHT=769&BBOX=2914640.6691353433%2C4006619.263203916%2C3031916.5131074684%2C4079000.448155462&TIME=2020-04-02T00:00:00.000Z Data is transformed into INSPIRE data model. https://data.public.lu/fr/organizations/meteolux/

Total volume of liquid water (mm³) precipitated over the period 00h-24h local time per unit of area (mm²), per day. This dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. Acquisition and pre-processing of the original ERA5 data is a complex and specialized job. By providing the AgERA5 dataset, users are freed from this work and can directly start with meaningful input for their analyses and modelling. References: https://doi.org/10.24381/cds.6c68c9bb The Copernicus Climate Change Service (C3S) aims to combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service. **Data publication:** 2021-01-30 **Data revision:** 2021-10-05 **Supplemental Information:** No data value: -9999 Unit : mm/day Scale Factor : 1.0 Map code : AGERA5-PF **Acknowledgement** All users of data uploaded on the Climate Data Store (CDS) must: - provide clear and visible attribution to the Copernicus programme by referencing the web catalogue entry; - acknowledge according to the data licence; - cite each product used; Please refer to How to acknowledge, cite and reference data published on the Climate Data Store for complete details. **Citation:** Boogaard, H., Schubert, J., De Wit, A., Lazebnik, J., Hutjes, R., Van der Grijn, G., (2020): Agrometeorological indicators from 1979 to present derived from reanalysis. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: 10.24381/cds.6c68c9bb (Accessed on DD-MMM-YYYY). **Contact points:** Metadata Contact: ECMWF - European Centre for Medium-Range Weather Forecasts Resource Contact: ECMWF Support Portal **Data lineage:** Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model. **Resource constraints:** **License Permission** This License is free of charge, worldwide, non-exclusive, royalty free and perpetual. Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use may include, but is not limited to: reproduction; distribution; communication to the public; adaptation, modification and combination with other data and information; or any combination of the foregoing. Where the Licensee communicates or distributes Copernicus Products to the public, the Licensee shall inform the recipients of the source by using the following or any similar notice: • 'Generated using Copernicus Climate Change Service information [Year]' and/or • 'Generated using Copernicus Atmosphere Monitoring Service information [Year]' More information on Copernicus License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

ArcGIS Image ServiceTime Interval: Seasonal Climatology With Hourly Timesteps Version: 1 Spatial Resolution: 3 km Time Extent: 2004 to 2024 (Dec-Feb, Mar-May, Jun-Aug, Sep-Nov) (With 24 Hours) Projection: GCS WGS84 Extent: Regional | Europe Other Formats: OGC WMS, OGC WCS, REST CollectionThis collection contains European Anvil Cloud Days per Year detection climatological diurnal statistics averaged over: Dec-Feb, Mar-May, Jun-Aug, Sep-Nov 2004-2024