Royal Dutch Meteorological Institute; Ministery Of Infrastructure And The Environment

Research
Climate Observations
In the Climate Observations division we study the global and regional atmospheric composition using satellite observations of trace gases, aerosols and clouds. The observations contribute to monitoring and research of Climate, Ozone, and Air Quality. The main satellite instruments used in our division are OMI, GOME, GOME2, SCIAMACHY and SEVIRI. We develop calibration and retrieval algorithms for these instruments, and process and distribute the satellite data to users, e.g. via TEMIS, in collaboration with international partners. To validate the satellite observations and to provide local monitoring we also operate several ground-based instruments, like the Brewer, the ozone sonde and the NO2 sonde. Our division has the Principal Investigatorship for the Dutch-Finnish instrument OMI, launched in 2004 on NASA's EOS-Aura satellite, and for the Dutch-ESA instrument TROPOMI, to be launched early in 2016 on ESA's Sentinel-5 Precursor satellite.
A thirty year time series of the ozone hole (left) and a global air pollution map of NO2 (right).


News

2015-04-16: Improved spectral fitting of nitrogen dioxide from OMI in the 405 - 465 nm window

An improved nitrogen dioxide (NO2) slant column density retrieval for the Ozone Monitoring Instrument (OMI) in the 405-465 nm spectral region is presented.

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2015-02-06: MAX-DOAS tropospheric nitrogen dioxide column measurements compared with the Lotos-Euros model

A 14-month data set of MAX-DOAS (Multi-Axis Differential Optical Absorption Spectroscopy) tropospheric NO2 column observations in De Bilt, the Netherlands, has been compared with the regional air quality model Lotos-Euros.

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2015-01-12: A depolarisation lidar-based method for the determination of liquid-cloud microphysical properties

The fact that polarisation lidars measure a depolarisation signal in liquid clouds due to the occurrence of multiple scattering is well known. The degree of measured depolarisation depends on the lidar characteristics (e.g. wavelength and receiver field of view) as well as the cloud macrophysical (e.g. cloud-base altitude) and microphysical (e.g. effective radius, liquid water content) properties.

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Last updated by Jacob van Peet