3107 results found
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KNMI collects observations from the automatic weather stations situated in the Netherlands and BES islands on locations such as aerodromes, North Sea platforms and wind poles. This dataset provides metadata on these weather stations, such as location, name and type. The data in this dataset is formatted as CSV. It is also available as a NetCDF file in this dataset: https://dataplatform.knmi.nl/d…
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KNMI collects observations from the automatic weather stations situated in the Netherlands and BES islands on locations such as aerodromes, North Sea platforms and wind poles. This dataset provides metadata on these weather stations, such as location, name and type. The data in this dataset is formatted as CSV. It is also available as a NetCDF file in this dataset: https://dataplatform.knmi.nl/d…
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KNMI collects observations from the automatic weather stations situated in the Netherlands and BES islands on locations such as aerodromes, North Sea platforms and wind poles. This dataset provides metadata on these weather stations, such as location, name and type. The data in this dataset is formatted as CSV. It is also available as a NetCDF file in this dataset: https://dataplatform.knmi.nl/d…
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KNMI collects observations from the automatic weather stations situated in the Netherlands and BES islands on locations such as aerodromes, North Sea platforms and wind poles. This dataset provides metadata on these weather stations, such as location, name and type. The data in this dataset is formatted as CSV. It is also available as a NetCDF file in this dataset: https://dataplatform.knmi.nl/d…
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This dataset represents expected location uncertainty of seismic events, when using sensors from the Netherlands seismic network and sensors just across the boarder in Belgium and Germany. The computation has been done over a grid covering the Netherlands, with a fixed source depth of 3 km. For each scenario event, the location probability density function has been determined, both as function of …
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The main seismic-network assessment parameter is magnitude of completeness, which has been computed over a grid covering the Netherlands. This parameter describes the spatial variation of the minimum magnitude for which almost every earthquake can be located. The location of an earthquake can be determined if the earthquake signal is detected on at least three sensors. Detection has been modeled u…
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This dataset represents expected location uncertainty of seismic events, when using sensors from the Netherlands seismic network and sensors just across the boarder in Belgium and Germany. The computation has been done over a grid covering the Netherlands, with a fixed source depth of 3 km. For each scenario event, the location probability density function has been determined, both as function of …
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The main seismic-network assessment parameter is magnitude of completeness, which has been computed over a grid covering the Netherlands. This parameter describes the spatial variation of the minimum magnitude for which almost every earthquake can be located. The location of an earthquake can be determined if the earthquake signal is detected on at least three sensors. Detection has been modeled u…
HTML -
This dataset represents expected location uncertainty of seismic events, when using sensors from the Netherlands seismic network and sensors just across the boarder in Belgium and Germany. The computation has been done over a grid covering the Netherlands, with a fixed source depth of 3 km. For each scenario event, the location probability density function has been determined, both as function of …
HTML -
The main seismic-network assessment parameter is magnitude of completeness, which has been computed over a grid covering the Netherlands. This parameter describes the spatial variation of the minimum magnitude for which almost every earthquake can be located. The location of an earthquake can be determined if the earthquake signal is detected on at least three sensors. Detection has been modeled u…
HTML