KNMI Open Data newsletter November 2023

With this newsletter we will keep you informed of the latest developments at the KNMI Data Platform (KDP). This newsletter focuses on important changes in the Actuele10mindataKNMIstations and new datasets. 

Changes in Actuele10mindataKNMIstations

In the Actuele10mindataKNMIstations dataset, significant changes will be implemented on 20 November 2023 that affect how we present meteorological data. These changes are intended to enhance the quality and usability of the data and ensure compliance with international standards and regulations. We remain committed to providing accurate and reliable meteorological information for everyone. Again, we have created a test file for you to use in advance.

The stations are identified by their WMO ID, which can be translated using this dataset: weather stations (CSV) 

Addition of WIGOS Station Identifier

We have introduced a new ID for the stations, the WIGOS Station Identifier (WSI). This has been added alongside the old WMO identifier, which had a 5-digit format. The WMO Identifier proved to be too short for many countries to include all stations with unique numbers, leading WMO to choose a new format. Adding the WSI allows us to register our observation stations and platforms with the OSCAR/Surface database.

Removal of variables qr, qrn, and qrx for all stations

The variable qr (Raw Global Solar Radiation 10 Min Average) is calculated from the variable qg to analyse the measurement from the sensor in slightly higher resolution. The variable qr is a conversion of qg according to the following formula: QR = ceiling(4 X QG – ½) + 200, where "ceiling" means rounding up. The variable qr is intended for internal use only, where it is used to analyse sensor performance. Additionally, qr gives possibilities to inspect the sensors at night, whereas qg is always equal 0 at night. It is important to emphasize that qr does not provide additional meteorological information. For this reason, it was decided to remove qr for all stations, along with its associated minimum value, qrn, and maximum value, qrx.

Removal of ta, td, rh, tb, and tg for mist posts

For mist posts 06233, 06236, 06237, and 06238, where measurements meet specific aviation requirements, we have chosen to remove derived variables (ta, td, rh, tb, and tg) from the data product in KDP. Mist posts have sensors for temperature and humidity at different heights, making the data quality different from other AWS locations. Voorschoten (06215) is also classified as a mist post, but here the sensors are at the same height as other AWS locations.

Additionally, we have changed the unit of qnh from W m-2 to hPa. Qnh is the atmospheric pressure reduced to sea level in hPa, according to international aviation regulations. If you want to use atmospheric pressure, we recommend using the variable pp.

Other notes regarding metadata

We have made some improvements to the comments in the metadata for the Actuele10mindataKNMIstations. For instance, visibility sensors at 'AWS' locations are placed at a height of 1.80m, while at AWS/aerodrome and mist post locations (including Voorschoten), they are placed at 2.50m. This is related to the ground-level visibility and pilot's eye level. There are a few exceptions where the visibility sensor is also at 2.50m, and these are the stations 06249, 06260, and 06290.

Wind measurements are typically supposed to be taken at a height of 10m, but there are variations in sensor height and data collection methods at some locations. Details about which stations deviate can be found in the comments for various wind variables.

New datasets on KDP

The KDP is continuously updated and during this period new datasets and new versions of datasets have been published. 

New datasets on KDP
New Dataset Abstract

HARMONIE-AROME product for Caribbean Netherlands

Weather model - HARMONIE-AROME Cy40 forecasts of last 24 hours, Caribean domain

Short term weather forecast for public usage

Short term weather forecast for the Netherlands for current and upcoming day, presented as tekst (txt en xml)

Medium and long-term weather forecast

Multi-day forecast and warnings for the next six days (html, txt, and xml)

UV index forecast

Daily solar power forecast expressed as UV index, available as text and xml

Dutch weather warnings from KNMI

Weather model - warnings issued up to 48 hours ahead, sleet, snow, rain, thunderstorms, wind gusts. Now also available as a text file.

Weather maps

The weather maps are based on the results of the atmospheric models HARMONIE (analysis, AL) and ECMWF (forecasts, PL)

North Sea shipping forecast

The North Sea shipping forecast covers the North Sea containing wind warnings in force (≥7 Bft) and a forecast of general synopsis, wind direction and force, weather and visibility (txt and xml)

Warnings North Sea

The North Sea shipping forecast covers the North Sea containing wind warnings in force (≥7 Bft) and storm warnings (txt and xml)

Weather stations (NetCDF)

This dataset contains the metadata of the weather stations, such as location, name and type in NetCDF format

Weather stations (CSV)

This dataset contains the metadata of the weather stations, such as location, name and type in CSV format

Rain gauge data from water boards and water companies after quality control by KNMI

Combined quality-controlled rain gauge data of water boards and water companies Combined rain gauge data from water boards and water companies, after quality control by KNMI

Earthquake location uncertainty maps for the Netherlands

Earthquake location uncertainty maps for sensors from the Dutch seismic network and sensors just across the border in Belgium and Germany

Magnitude of completeness maps for the Netherlands

Maps showing the magnitude of completeness from seismic stations in the Netherlands, the parameter for spatial variation of the minimum magnitude for which any earthquake can be located
Datasets with a new version
Dataset name Reason update version New link on KDP
Inventory changelog of metadata of the seismic network, stations and instruments of the KNMI File structure update rdsa_inventory_changelog
WINS50 - daily files with wind farm parameterization and a 2050 wind farm scenario Rerun model simulations wins50_wfp_2050_nl_daily_3d
WINS50 - time series with wind farm parameterization and a 2050 wind farm scenario (per grid point) Rerun model simulations wins50_wfp_2050_nl_ts_singlepoint

Colophon

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Content: KNMI Open Data team

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