C
Cintia Carbajal Henken
Researcher at Free University of Berlin
Publications - 22
Citations - 511
Cintia Carbajal Henken is an academic researcher from Free University of Berlin. The author has contributed to research in topics: Cloud fraction & Cloud top. The author has an hindex of 8, co-authored 19 publications receiving 350 citations. Previous affiliations of Cintia Carbajal Henken include Royal Netherlands Meteorological Institute.
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Journal ArticleDOI
Large-eddy simulations over Germany using ICON: a comprehensive evaluation
Rieke Heinze,Rieke Heinze,Anurag Dipankar,Cintia Carbajal Henken,Christopher Moseley,Odran Sourdeval,Silke Trömel,Xinxin Xie,Panos Adamidis,Felix Ament,Holger Baars,Christian Barthlott,Andreas Behrendt,Ulrich Blahak,Sebastian Bley,Slavko Brdar,Matthias Brueck,Matthias Brueck,Susanne Crewell,Hartwig Deneke,Paolo Di Girolamo,Raquel Evaristo,Jürgen Fischer,Christopher W. Frank,Petra Friederichs,Tobias Göcke,Ksenia Gorges,L. B. Hande,Moritz Hanke,Akio Hansen,Hans-Christian Hege,Corinna Hoose,Thomas Jahns,Norbert Kalthoff,Daniel Klocke,Stefan Kneifel,Peter Knippertz,Alexander Kuhn,Thriza van Laar,Andreas Macke,Vera Maurer,Vera Maurer,Bernhard Mayer,Catrin I. Meyer,Shravan Kumar Muppa,Roeland A. J. Neggers,Emiliano Orlandi,Florian Pantillon,Bernhard Pospichal,Niklas Röber,Leonhard Scheck,Axel Seifert,Patric Seifert,Fabian Senf,Pavan Kumar Siligam,Clemens Simmer,Sandra Steinke,Bjorn Stevens,Kathrin Wapler,Michael Weniger,Volker Wulfmeyer,Günther Zängl,Dan Zhang,Johannes Quaas +63 more
TL;DR: In this article, large-eddy simulations with the ICOsahedral non-hydrostatic atmosphere model (ICON) covering Germany are evaluated for four days in spring 2013 using observational data from various sources.
Journal ArticleDOI
The Added Value of Large-Eddy and Storm-Resolving Models for Simulating Clouds and Precipitation
Bjorn Stevens,Claudia Acquistapace,Akio Hansen,Rieke Heinze,Carolin Klinger,Daniel Klocke,Harald Rybka,Wiebke Schubotz,Julia Windmiller,Panagiotis Adamidis,Ioanna Arka,Vasileios Barlakas,Joachim Biercamp,Matthias Brueck,Sebastian Brune,Stefan A. Buehler,Ulrike Burkhardt,Guido Cioni,Montserrat Costa-Surós,Susanne Crewell,Traute Crüger,Hartwig Deneke,Petra Friederichs,Cintia Carbajal Henken,Cathy Hohenegger,Marek Jacob,Fabian Jakub,Norbert Kalthoff,Martin Köhler,Thirza W. van Laar,Puxi Li,Puxi Li,Ulrich Löhnert,Andreas Macke,Nils Madenach,Bernhard Mayer,Christine Nam,Ann Kristin Naumann,Karsten Peters,Stefan Poll,Johannes Quaas,Niklas Röber,Nicolas Rochetin,Leonhard Scheck,Vera Schemann,Sabrina Schnitt,Axel Seifert,Fabian Senf,Metodija Shapkalijevski,Clemens Simmer,Shweta Singh,Odran Sourdeval,Odran Sourdeval,Dela Spickermann,Johan Strandgren,Octave Tessiot,Nikki Vercauteren,Jessica Vial,Aiko Voigt,Aiko Voigt,Günter Zängl +60 more
TL;DR: In this paper, the authors simulated over one hundred days over very large domains with fine (0.156 km to 2.5 km) grid spacing for realistic conditions to test the hypothesis that storm resolving simulations would provide an improved representation of clouds and precipitation in atmospheric simulations.
Journal ArticleDOI
Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project
Martin Stengel,Stefan Stapelberg,Oliver Sus,Cornelia Schlundt,Caroline Poulsen,Gareth Thomas,Matthew Christensen,Cintia Carbajal Henken,Rene Preusker,Juergen Fischer,Abhay Devasthale,Ulrika Willén,Karl-Göran Karlsson,Gregory R. McGarragh,Simon Richard Proud,Adam C. Povey,Roy G. Grainger,Jan Fokke Meirink,Artem G. Feofilov,Ralf Bennartz,Ralf Bennartz,Jędrzej S. Bojanowski,Rainer Hollmann +22 more
TL;DR: In this article, the authors presented a new cloud property datasets based on measurements from the passive imaging satellite sensors AVHRR, MODIS, ATSR2, AATSR and MERIS, which include components for cloud detection and cloud typing followed by cloud property retrievals based on the optimal estimation technique.
Journal ArticleDOI
Using MSG-SEVIRI Cloud Physical Properties and Weather Radar Observations for the Detection of Cb/TCu Clouds
TL;DR: In this article, a pixel-based convective cloud mask (CCM) is constructed on the basis of cloud physical properties [cloud-top temperature, cloud optical thickness (COT), effective radius, and cloud phase] derived from SEVIRI.
Journal ArticleDOI
Detection and attribution of aerosol-cloud interactions in large-domain large-eddy simulations with the ICOsahedral Non-hydrostatic model
Montserrat Costa-Surós,Odran Sourdeval,Odran Sourdeval,Claudia Acquistapace,Holger Baars,Cintia Carbajal Henken,Christa Genz,Christa Genz,Jonas Hesemann,Cristofer Jimenez,Marcel König,Jan Kretzschmar,Nils Madenach,Catrin I. Meyer,Roland Schrödner,Patric Seifert,Fabian Senf,Matthias Brueck,Guido Cioni,Jan Frederik Engels,Kerstin Fieg,Ksenia Gorges,Rieke Heinze,Pavan Kumar Siligam,Ulrike Burkhardt,Susanne Crewell,Corinna Hoose,Axel Seifert,Ina Tegen,Johannes Quaas +29 more
TL;DR: In this paper, a large-domain large-eddy model is used to simulate the response of clouds to realistic anthropogenic perturbations in aerosols serving as cloud condensation nuclei.