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).
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.Read more...
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.Read more...
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2015-01-08: Tracing the second stage of ozone recovery in the Antarctic ozone-hole
This study presents a sensitivity analysis of multivariate regressions of recent springtime Antarctic vortex ozone trends using a "big data" ensemble approach. Our results indicate that the poleward heat flux (Eliassen–Palm flux) and the effective chlorine loading respectively explain most of the short-term and long-term variability in different Antarctic springtime total ozone records. The inclusion in the regression of stratospheric volcanic aerosols, solar variability and the quasi-biennial oscillation is shown to increase rather than decrease the overall uncertainty in the attribution of Antarctic springtime ozone because of large uncertainties in their respective records. Read more...