gp-ogc-api-features

1. Data provider

Danish Meteorological Institute - Open Data

https://www.dmi.dk/

2. Thematic scope

Lightning data from stations located in Denmark

The data belong to the INSPIRE themes Meteorological geographical features and Atmospheric conditions.

3. Envisaged use

The API is in production

4. Requirements classes

OGC conformance classes:

• http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/core
• http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/oas30
• http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson

Requirements classes implemented from the Good Practice:

• http://inspire.ec.europa.eu/id/spec/oapif-download/1.0/req/pre-defined

5. Server-side technology

The code is self-developed and written in Java as a Spring Boot application using standard products (i.e. Tomcat Webserver and REST implementation).

The data provided through the API is stored in a MapR database. MapR is a big data platform that integrates Hadoop and Spark. The platform includes global event streaming, real-time database capabilities, and enterprise storage.

6. Endpoints and client applications

Endpoint: https://dmigw.govcloud.dk/v2/lightningdata/

Technical documentation is available at: https://confluence.govcloud.dk/display/FDAPI/Lightning+data

The technical documentation includes, amongst other things, API endpoints, request and response examples, OpenAPI documentation and user registration guide.

7. Issues

• https://github.com/INSPIRE-MIF/gp-ogc-api-features/issues/48 (requirements class bulk download is not implemented)
• https://github.com/INSPIRE-MIF/gp-ogc-api-features/issues/47 (requirements class bulk download is not implemented)
• https://github.com/opengeospatial/ets-ogcapi-features10/issues/117 (issue is closed)
• https://github.com/opengeospatial/ets-ogcapi-features10/issues/137

Additional information

If you want to download large quantities of historical lightning data, DMI recommends that you use DMI’s bulk download service. The service lets you download .zip files, each containing historic data for a month going back to 2002. You can also download all historic data by selecting the file all.zip.