H. Klein Baltink
Royal Netherlands Meteorological Institute
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Publication
Featured researches published by H. Klein Baltink.
Bulletin of the American Meteorological Society | 2007
Anthony J. Illingworth; Robin J. Hogan; Ewan J. O'Connor; Dominique Bouniol; Malcolm E. Brooks; Julien Delanoë; David P. Donovan; J.D. Eastment; Nicolas Gaussiat; J.W.F. Goddard; Martial Haeffelin; H. Klein Baltink; Oleg A. Krasnov; Jacques Pelon; J.-M. Piriou; Alain Protat; H.W.J. Russchenberg; A. Seifert; Adrian M. Tompkins; G.-J. van Zadelhoff; F. Vinit; Ulrika Willén; Damian R. Wilson; C. L. Wrench
Cloud fraction, liquid and ice water contents derived from long-term radar, lidar and microwave radiometer data are systematically compared to models to quantify and improve their performance.
Journal of Hydrometeorology | 2010
H. Leijnse; R. Uijlenhoet; C. Z. van de Beek; A. Overeem; Tobias Otto; C.M.H. Unal; Yann Dufournet; H.W.J. Russchenberg; J. Figueras i Ventura; H. Klein Baltink; I. Holleman
Abstract The Cabauw Experimental Site for Atmospheric Research (CESAR) observatory hosts a unique collection of instruments related to precipitation measurement. The data collected by these instruments are stored in a database that is freely accessible through a Web interface. The instruments present at the CESAR site include three disdrometers (two on the ground and one at 200 m above ground level), a dense network of rain gauges, three profiling radars (1.3, 3.3, and 35 GHz), and an X-band Doppler polarimetric scanning radar. In addition to these instruments, operational weather radar data from the nearby (∼25 km) De Bilt C-band Doppler radar are also available. The richness of the datasets available is illustrated for a rainfall event, where the synergy of the different instruments provides insight into precipitation at multiple spatial and temporal scales. These datasets, which are freely available to the scientific community, can contribute greatly to our understanding of precipitation-related atmosp...
Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII | 2014
Yunlong Li; Peter Hoogeboom; H.W.J. Russchenberg; H. Klein Baltink
The microphysical processes in fog are examined based on an analysis of four fog events captured by the in-situ and remote sensing synergy at the Cabauw Experimental Site for Atmospheric Research (CESAR) in the western part of the Netherlands. A 35 GHz cloud radar at CESAR has been used in “fog mode” for the first time in the campaign. In this paper, the microphysical parameterization of fog is first introduced as the basis for analyzing the microphysical processes in the lifecycle of fog. The general microphysical characteristics of the four fog events are studied and key microphysical parameters (droplet number concentration, liquid water content, mean radius, and spectral standard deviation) related to fog are found lower than those in other sites due to the low aerosol concentration at Cabauw. The dominant processes in fog are investigated from the relationships among the key microphysical parameters. The positive correlations of each two parameters in lifecycle stages of a stratus-fog case suggest the dominant scheme in fog is droplet activation with subsequent hygroscopic growth and/or droplet evaporation, which is also supported by the combined observations of visibility and radar reflectivity. The shape of fog drop size distribution regularly broadens and then narrows in the whole lifecycle. However, other mechanisms could exist, although not dominating. Collision-coalescence is a significant factor for the continued growth of big fog droplets when they have reached certain sizes in the mature stage. In the datasets, the collision-coalescence process could be distinguished from the unusual negative correlations among the key microphysical parameters in the lifecycle of another stratus-fog case, and the temporal evolutions of droplet number concentration, mean radius, spectra width, visibility and radar reflectivity show the evidence of it.
Atmospheric Measurement Techniques | 2011
Ankie Piters; K. F. Boersma; M. Kroon; Jennifer Carrie Hains; M. Van Roozendael; F. Wittrock; N. Abuhassan; C. Adams; M. Akrami; M. Allaart; Arnoud Apituley; Steffen Beirle; J. B. Bergwerff; A. J. C. Berkhout; Dominik Brunner; A. Cede; J. Chong; K. Clémer; C. Fayt; U. Frieß; L. Gast; Manuel Gil-Ojeda; Florence Goutail; R. Graves; Alexandra Griesfeller; K. Großmann; G. Hemerijckx; F. Hendrick; B. Henzing; Jay R. Herman
Journal of Geophysical Research | 2010
R. Boers; M. J. de Haij; Wiel M. F. Wauben; H. Klein Baltink; L.H. van Ulft; M. Savenije; C. N. Long
Journal of Geophysical Research | 2006
T. Scholl; K. Pfeilsticker; Anthony B. Davis; H. Klein Baltink; Susanne Crewell; Ulrich Löhnert; Clemens Simmer; J. Meywerk; Markus Quante
Atmospheric Measurement Techniques | 2014
David P. Donovan; H. Klein Baltink; J. S. Henzing; S. R. de Roode; A. P. Siebesma
Atmospheric Measurement Techniques | 2016
U. Frieß; H. Klein Baltink; Steffen Beirle; K. Clémer; F. Hendrick; Bas Henzing; Hitoshi Irie; G. de Leeuw; Ang Li; M.M. Moerman; M. Van Roozendael; R. Shaiganfar; Thomas Wagner; Y. Wang; Pinhua Xie; S. Yilmaz; Paul Zieger
Journal of Geophysical Research | 2004
G.-J. van Zadelhoff; David P. Donovan; H. Klein Baltink; R. Boers
Geoscientific Model Development | 2016
E. N. Koffi; P. Bergamaschi; Ute Karstens; M. Krol; Arjo Segers; Martina Schmidt; Ingeborg Levin; Alex Vermeulen; R. E. Fisher; V. Kazan; H. Klein Baltink; D. Lowry; Giovanni Manca; Harro A. J. Meijer; J. Moncrieff; S. Pal; Michel Ramonet; H. A. Scheeren; A. G. Williams