Welcome to the information page about the KNMI Enviromental Data Retrieval (EDR) API. This page is meant to get your started with the EDR API. Detailed technical documentation is also available.
The goal of an EDR API is to query environmental data in a spatio-temporal manner. This data can be queried using different query patterns. You can, for example, query the data at a position or in a spatial cube. The available query endpoints depend on the Collection you are querying.
The API contains Collections (a dataset, for example observations
). Within a collection there are one or more
Instances (a subtype of the Collection, e.g. unvalidated
).
The EDR API adheres to the EDR API specification made by the Open Geospatial Consortium.
The following datasets are currently available in the KNMI EDR API
Collection | Instance | Corresponding file based datasets |
---|---|---|
observations | unvalidated (default) | Actuele 10 minuten data, bewolkingsgegevens, neerslaggegevens, vochtigheid_en_temperatuur, weer_en_luchtdruk, windgegevens, zonneschijnduur_en_straling |
Tg1 | default | Temperature - gridded daily mean temperature in the Netherlands |
Tx1 | default | Temperature - gridded daily maximum temperature in the Netherlands |
Tn1 | default | Temperature - gridded daily minimum temperature in the Netherlands |
Rd1 | default | Precipitation - gridded daily precipitation sum in the Netherlands |
Ev24 | default | Evaporation - gridded daily Makkink evaporation in the Netherlands |
wins50 | default | WINS50 - wind at 10-600 meter height for the Netherlands from HARMONIE-AROME as daily files |
More collections may be added in the future.
/collections
endpoint./collections/{collection_name}
endpoint./collections/{collection_name}/instances
endpoint.The API response will be in the following formats (dependent on the endpoint): GeoJSON, Coveragejson or JSON.
CoverageJSON and GeoJSON are special types of JSON. Each have their own tools and libraries to process and visualise them.
GeoJSON is a combination of a Well-Known-Text (WKT) geometry type and additional information about this geometry inside a properties field. There is an online tool to visualize GeoJSON.
Example tools and libraries to work with GeoJSON in your own application:
CoverageJSON is a special type of JSON aimed at representing spatio-temporal data. It can be used to efficiently transfer parts of a big dataset to a client. It supports various types of geometries (called Domains). There is an online tool to visualize CoverageJSON.
Example tools and libraries to work with CoverageJSON:
The Open API Specification of the API, including examples, can be found in the detailed technical documentation.
import sys
import requests
collection = "observations"
base_url = f"https://api.dataplatform.knmi.nl/edr/collections/{collection}"
token = "<YOUR API KEY>"
headers = {"Authorization": token}
def metadata():
r = requests.get(base_url, headers=headers)
r.raise_for_status()
return r.json()
def locations():
r = requests.get(base_url + "/locations", headers=headers)
r.raise_for_status()
return r.json()
def position(params):
r = requests.get(base_url + "/position", params, headers=headers)
r.raise_for_status()
return r.json()
def main():
md = metadata()
print(md["extent"]["temporal"]["interval"])
locs = locations()
print([f["properties"]["name"] for f in locs["features"]])
params = {
"coord": "POINT(5.14527777777778 51.8577777777778)",
"datetime": "2022-07-19T06:00:00Z/2022-07-19T18:00:00Z",
"parameter-name": "t_dryb_10",
}
print(position(params))
if __name__ == "__main__":
sys.exit(main())