API src

Found 575 results.

Related terms

KOSTRA DWD Regendaten

Die Bezeichnung KOSTRA-DWD steht für "Koordinierte Starkniederschlagsregionalisierung und -auswertung des DWD". Für die statistischen Auswertungen wurde Deutschland in ein landesweites Rasternetz (jeweils ca. 5 x 5 km²) eingeteilt. Die Analyseergebnisse stellt der DWD über das Climate Data Center (CDC) kostenfrei zur Verfügung. Der Datensatz enthält statistische Starkregendaten (Niederschlagshöhen (in mm) und Niederschlagsspenden (in l/(s x ha))) der Dauerstufen D 5 bis 10.080 Minuten. Diese sind jeweils nach Wiederkehrzeiten T von 1 bis 100 Jahren und Rasterzelle unterteilt. Über das Geoportal der FHH können die aktuell gültigen KOSTRA-DWD-Daten für das Stadtgebiet der FHH ortsscharf, aufbereitet nach Rasterzellen, abgerufen werden.

Global reference histograms of the IMS infrasound broadband detection lists

This data set builds upon the broadband detection lists of the International Monitoring System (IMS)’s infrasound stations. The infrasound data of these stations are regularly (re-)processed at the German National Data Centre at BGR (e.g., Ceranna et al., 2019; https://doi.org/10.1007/978-3-319-75140-5_13) using the Progressive Multi-Channel Correlation (PMCC) array processing method (Cansi, 1995; https://doi.org/10.1029/95GL00468). The latest reprocessing with 26 one-third octave spaced frequency bands in the IMS band of interest (0.01 to 4 Hz) included all 53 stations that were certified within the period 2003 to 2020. Based on the resulting broadband detection lists, this data set expands on former analyses of the coherent ambient noise. For each station with a data availability of at least one year (by the end of 2020), monthly reference histograms for the detection parameters back azimuth, apparent speed, and root-mean-squared amplitude are provided. The histograms provide a means to determine the deviation from nominal monthly behaviour and thus enable assessing the plausibility of detections and potential anomalies – without determining their cause – in the detected parameters. Overall, these quality metrics will be, among other applications, a useful supplement to the open-access IMS infrasound data products provided by Hupe et al., which are also available in BGR’s product centre. Further details of the reference histograms are described in the following publication by Kristoffersen et al.: "Updated global reference models of broadband coherent infrasound signals for atmospheric studies and civilian applications" (https://doi.org/10.1029/2022EA002222).

INSPIRE: German Regional Seismic Network (GRSN)

The German Regional Seismic Network (GRSN) consists of seismological stations equipped with 3-component broadband seismometer and digital data aquisition system. The recorded data are directly transmitted to the data center at BGR Hannover and made available to the public near realtime. The GML file together with a Readme.txt file are provided in ZIP format (GRSN-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.

INSPIRE: German Regional Seismic Network (WMS)

The WMS GRSN (INSPIRE) represents the seismological stations of the German Regional Seismic Network (GRSN) equipped with 3-component broadband seismometer and digital data aquisition system. The recorded data are directly transmitted to the data center at BGR in Hannover and made available to the public near realtime. According to the Data Specification on Geology (D2.8.II.4_v3.0, subtopic Geophysics) the information with respect to the seismological stations is INSPIRE-compliant. The WMS GRSN (INSPIRE) contains a layer of the seismological stations (GE.seismologicalStation) displayed correspondingly to the INSPIRE portrayal rules. Via the getFeatureInfo request the user obtains the content of the INSPIRE attributes platformType, relatedNetwork, stationType und stationRank.

INSPIRE: German Regional Seismic Network (GRSN)

The German Regional Seismic Network (GRSN) consists of seismological stations equipped with 3-component broadband seismometer and digital data aquisition system. The recorded data are directly transmitted to the data center at BGR Hannover and made available to the public near realtime. The GML file together with a Readme.txt file are provided in ZIP format (GRSN-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.

BESTMAP DE 1981-2010 Temperature max

Multi-annual (1981-2010) means of grids of monthly averaged daily maximum air temperature at 2 m height above ground given in 1/10 °C, for the Mulde catchment (Saxony, Germany), which serves as the German case study area within BESTMAP. Original data source is the Climate Data Center of the Deutscher Wetterdienst (DWD).

BESTMAP DE 1981-2010 Temperature min

Multi-annual (1981-2010) means of grids of monthly averaged daily minimum air temperature at 2 m height above ground given in 1/10 °C, for the Mulde catchment (Saxony, Germany), which serves as the German case study area within BESTMAP. Original data source is the Climate Data Center of the Deutscher Wetterdienst (DWD).

BESTMAP DE 1981-2010 Temperature mean

Multi-annual (1981-2010) means of grids of monthly averaged daily mean air temperature at 2 m height above ground given in 1/10 °C, for the Mulde catchment (Saxony, Germany), which serves as the German case study area within BESTMAP. Original data source is the Climate Data Center of the Deutscher Wetterdienst (DWD).

BESTMAP DE 1981-2010 Precipitation

Multi-annual (1981-2010) mean of precipitation height in mm, for the Mulde catchment (Saxony, Germany), which serves as the German case study area within BESTMAP. Original data source is the Climate Data Center of the Deutscher Wetterdienst (DWD).

Watershed Boundaries of Global Runoff Data Centre Stations

Watershed Boundaries of approx. 7500 GRDC Stations generated on the basis of the HydroSHEDS drainage network (Lehner et al., 2008). The "Watershed Boundaries of GRDC Stations" are provided in GeoJSON format.

1 2 3 4 5 … 56 57 58