Automating air temperature Siting Classification of meteorological stations according to the World Meteorological Organization guidelines

J. Stuurman, Ministry of Infrastructure and Water Management, Royal Netherlands Meteorological Institute
De Bilt : KNMI
2019

This research thesis investigated the automatisation of the air temperature Siting Classification (SC) according to its WMO guidelines. SC values are qualitative numbers that shows how representative a meteorological observation is of its surrounding area. SC for air temperature is based on three characteristics at the location of the sensor: shading, presence of heat source and vegetation height. Instead of going into the field, the Automated SC (ASC) developed in this research thesis uses the Actueel Hoogtebestand Nederland (AHN) and Basisregistratie Grootschalige Topografie (BGT) open data datasets to determine the classifications for air temperature. The algorithm was first tested at the Automatic Weather Station (AWS) in De Bilt, after which it was applied to all the other 33 AWS sites owned and maintained by the Royal Netherlands Meteorological Institute (KNMI). There is need for an ASC to speed up the process but also to create a more reproducible approach than the current Manual SC (MSC) that is subject to human interpretations.

79 p.
Fig., tab.
(Internal report ; 2019-01)
With ref.
KNMIAUT2019