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The National Oceanographic Data Committee (NODC) of the Netherlands is the national platform for exchange of oceanographic and marine data and information, and for advisory services in the field of ocean and marine data management. The overall objective of the NODC is to effect a major and significant improvement in the overview and access to marine and oceanographic data and data-products from government and research institutes in the Netherlands. This is not done alone and only with a national focus, but on a European scale as an active partner in the Pan-European SeaDataNet project, complying to the INSPIRE and the new Marine Strategy EU Directives, and on a global scale as the Netherlands representative in major international organisations in this field, ICES and IOC-IODE. A major step has been made with the launch of the NODCi - National Infrastructure for access to Oceanographic and Marine Data and Information. This was developed in the framework of the Ruimte voor Geo-Informatie (RGI) programme as RGI-014 project. It includes a new NODC-i portal (www.nodc.nl), that provides users with a range of metadata services and a unique interface to the data management systems of each of the NODC members. By this Common Data Index (CDI) interface, users can get harmonised access to the datasets, that are managed in a distributed way at each of the NODC members. The NODCi portal functions as the Dutch node in the SeaDataNet infrastructure. The NODC CDI service contains several thousands of references to individual marine and oceanographic datasets. For inclusion in the National Geo Register these have been aggregated by combinations of Data Holding Centres - Disciplines. Each NGR - NODC record therefore represents a large number of individual metadata records and associated datasets. By following the specified URL to the NODCi portal, users can consider these metadata in detail and can achieve downloading of interesting datasets via the shopping cart transaction system, that is integrated in the NODCi portal.
Global categorial land cover type per land grid cell from 1970 to 2100. Cells may contain built-up area or water. The data is licensed under CC-BY. The IMAGE-team would appreciate to be involved in projects using the data. SSP scenarios are documented in: Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm, https://doi.org/10.1016/j.gloenvcha.2016.05.008
Discharge has been measured at three locations. At these locations, measurement weirs have been installed in May 2007 to estimate discharges accurately. A V-notch weir is used to measure the inflow of surface water into the catchment near the Wielse Kade (Qin). Trapezoidal Rossum weirs have been installed to measure outflow (Qout1 and Qout2), of which the stage-discharge relations have been obtained by laboratory calibration. The uncertainty associated with the discharge measurement can be considerable in some cases.
This data set contains output from the model runs that were used to produce the Dutch Offshore Wind Atlas (DOWA), but for the full domain, on model levels and for more parameters. DOWA provides a validated wind climatology based on 10 years (2008-2017) of model data: weather model HARMONIE-AROME is nested in re-analyses ERA5. More information on the website: www.dutchoffshorewindatlas.nl. Note: the proj4 string in the NetCDF file is incorrect. It should be: +proj=lcc +lat_1=52.500000 +lat_2=52.500000 +lat_0=52.500000 +lon_0=.000000 +k_0=1.0 +x_0=649536.512574 +y_0=1032883.739533 +a=6371220.000000 +b=6371220.000000
Climatological radar rainfall dataset of 1 hour precipitation depths at a 1 km grid, which have been adjusted employing validated and complete rain gauge data from both KNMI rain gauge networks. This dataset is updated once a month providing data up to a few months ago.
Historic gridded files of daily Makkink evaporation for 1910-1980 in the Netherlands. Calculated from sunshine duration measured on 5 weather stations.
Gridded files of radar-derived 5 minute precipitation accumulations, corrected by rain gauge data. Radar data over the Netherlands and surrounding area measured by Dutch, Belgian, and German radars are corrected by available data from automatic rain gauges. Time interval is 5 minutes. See data set nl_rdr_data_rtcor_5m_tar/1.0 for an archive that goes back to 2018. Starting with data from 31 January 2023 - 10.45 UTC onwards, this dataset is created using improved algorithms. This includes correction for signal attenuation, correction for vertical variation of precipitation, correction for fast-moving showers and use of uncertainty information in merging data from multiple radars.
Rain gauge data from water company Waternet, after quality control by KNMI. Raw data originating from a self-maintained network of rain gauges. Delivery of data is every 1-5 minutes.
Monthly mean ozone fields of the MSR. The MSR dataset results from a 30-year data assimilation run with 14 corrected satellite datasets as input, and is available on a grid of 1× 1 1/2° for the time period (1978-2008). The fourteen total ozone satellite datasets are from the instruments TOMS (on the satellites Nimbus-7 and Earth Probe), SBUV (Nimbus-7, NOAA-9, NOAA-11 and NOAA-16), GOME (ERS-2), SCIAMACHY (Envisat), OMI (EOS-Aura), and GOME-2 (Metop-A).
The 30 year average maximum cumulative precipitation deficit per year. By station of the KNMI rain gauge network..