INSPIRE - Annex III - Meteorological Geographical Features - PointTimeSeriesObservation - Daily weather measurements at Luxembourg Findel Airport
About this dataset
Related datasets
✦ Suggested by OrionAIThe 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 daily weather measurements from the 18 meteo stations of AGE. The dataset goes back 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_AGE_sum_nn050&srsName=EPSG:3857&OUTPUTFORMAT=application/json&CQL_FILTER=datetime%20BEFORE%202020-06-01T00:00:00Z%20%20AND%20datetime%20AFTER%202020-04-30T00:00:00Z%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_Daily_AGE_sum_nn050&CRS=EPSG%3A3035&WIDTH=474&HEIGHT=769&BBOX=2914640.6691353433%2C4006619.263203916%2C3031916.5131074684%2C4079000.448155462&TIME=2020-06-02T00:00:00.000Z 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 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.
Climate data include quality-controlled meteorological observations. Climate data is available as: 1. Station data for both Denmark and Greenland 2. Area data for Denmark only
This dataset contains Elevation height points of the Grand-Duchy of Luxembourg. It has been harmonized according to INSPIRE.
Indexed by OrionGIS from data.europa.eu. Data is loaded from the publisher's own server when you use it. Permanent link