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402 results found

  • KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the German and Swiss part of the Rhine catchment. Time resolution: 1-hourly for precipitation and daily for temperature and potential evaporation. Aggregation into 134 subcatchments.

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut
  • KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the Belgian and French part of the Meuse catchment. Time resolution: 1-hourly for precipitation and daily for temperature and potential evaporation. Aggregation into 15 subcatchments.

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut
  • Data set contains a 16-member ensemble of multi-annual time series of wind-induced surge and astronomical tide for eight stations along the Dutch coast. 1-hourly time series are generated with the Northsea surge model WAQUA (nominal resolution 8km) driven by 3-hourly atmospheric fields of wind and pressure obtained from the climate model RCM-GCM combination RACMO-ECEARTH. The eight stations are, o…

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut
  • Data to be shared among URCLIM partners can be distributed and accessed through an URL http://gofile.me/1QXHe/xIfHlEXD

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut
  • This table shows the supply and the consumption of hard coal, lignite + BKB (Braunkohlenbriketts) and coke-oven cokes in a balance sheet. Supply is calculated as production plus recovered products plus imports minus exports plus net stock changes. This calculation of the supply results in the amount of hard coal, lignite + BKB (Braunkohlenbriketts) and coke-oven cokes consumed in the period concer…

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Centraal Bureau voor de Statistiek
  • This table contains figures on the average consumption of electricity and natural gas per m2 floor area for different types of buildings used in the services sector. Only data on electricity and gas delivered through the public grid are included. The consumption of natural gas has been corrected for temperature effects. Energy intensities are often used to evaluate policies and for benchmarking.…

    JSON ATOM
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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Centraal Bureau voor de Statistiek
  • This table contains figures on the average consumption of electricity and natural gas per m2 floor area and by construction period for different types of buildings used in the services sector. Only data on electricity and gas delivered through the public grid are included. The consumption of natural gas has been corrected for temperature effects. Energy intensities are often used to evaluate pol…

    JSON ATOM
    • Status:

      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Centraal Bureau voor de Statistiek
  • This dataset contains an extension for 2018 of the Dutch Offshore Wind Atlas (DOWA). DOWA is validated wind climatology (and information on temperature, pressure and relative humidity) based on 10 years (2008-2017) of model data: weather model HARMONIE-AROME is nested in re-analyses ERA5. In this data set time series for individual grid locations are available for 2018. Note: the proj4 string in t…

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut
  • This dataset contains an extension for 2018 of the the Dutch Offshore Wind Atlas (DOWA). DOWA is validated wind climatology (and information on temperature, pressure and relative humidity) based on 10 years (2008-2017) of model data: weather model HARMONIE-AROME is nested in re-analyses ERA5. Note: the proj4 string in the NetCDF file is incorrect. It should be: +proj=lcc +lat_1=52.500000 +lat_2=52…

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      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut
  • This dataset is constructed using measurements of temperature-and humiditysensors. The dataset also contains derived physical quantities like the wetbulbtemperature, dewpointstemperature and watervaporpressure. The dataset is neither validated nor are missing values completed.

    • Status:

      Available
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      Public CC-BY (4.0) 0
    • Data owner:

      Koninklijk Nederlands Meteorologisch Instituut