Participants

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Participant list for CREW-3, Madison/Wisconsin (USA), 2011 (version 9 Sept. 2011)

					abstract
1	Ackerman	Steve	University of Wisconsin-Madison	USA	Keynotes passive instruments
2	Baum	Bryan	University of Wisconsin-Madison	USA	MODIS Collection 6 Cloud Top Height and IR Thermodynamic Phase
3	Bennartz	Ralf	University of Wisconsin-Madison	USA	Cloud liquid water path of warm clouds from passive microwave and visible/near-infrared imagers
4	Bojkov	Bojan	ESA/ESRIN	Europe	-
5	Bugliaro	Luca	DLR Oberpfaffenhofen	Germany	Realistic Simulations of MSG/SEVIRI Scenes for Cloud Algorithm Validation
6	Carbajal Henken	Cintia	Free University of Berlin	Germany	Synergistic MERIS-AATSR cloud properties retrievals using optimal estimation technique
7	Chang	Fu-Lung	NASA, Science Systems & Applications Inc.	USA	Using CALIPSO/CloudSat Data to Evaluate the Multilayer Cloud Properties Retrieved from MODIS and SEVIRI Data
8	Delanoë	Julien	Observations Spatiales (LATMOS)/UVSQ/CNRS/IPSL	France	DARDAR: CloudSat and CALIPO synergy product for cloud studies
9	Deneke	Hartwig	Leibniz Institute for Tropospheric Research	Germany	Cloud analyses with passive satellite imagery viewed from the radiative perspective
10	Derrien	Marcel	Météo France	France	coauther
11	Dewitte	Steven	KMI	Belgium	Session chair
12	Doelling	Dave	NASA, Langley	USA	The calibration of geostationary visible sensors using MODIS as a reference
13	Hamann	Ulrich	KNMI	Netherlands	The CREW workshop: an overview
14	Heck	Patrick W.	University of Wisconsin-Madison	USA	Improved Methods for and Validation of Nighttime Cloud Property Retrievals from SEVIRI, GOES and MODIS
15	Heidinger	Andrew	NASA, Nesdis	USA	State of the NOAA AWG Cloud Algorithms and their application in the Great Lakes Region
16	Holtz	Bob	University of Wisconsin-Madison	USA
17	Horváth	Ákos	MPI, Hamburg	Germany	Evaluation of MISR Stereo Cloud-Top Height Retrievals
18	Hünerbein	Anja	Leibniz Institute for Tropospheric Research	Germany	Synergetic cloud top height retrieval for a passive and an active sensor
19	Jonkheid	Bastiaan	KNMI	Netherlands	A MSG/SEVIRI simulator for the validation of climate models
20	Joro	Sauli	Eumetsat	Europe	-
21	Kahn	Brian	NASA, JPL	USA	New AIRS Version 6 cloud retrievals: cloud thermodynamic phase, cirrus cloud optical thickness and effective diameter
22	Karlsson	Karl-Göran	SMHI	Sweden	Adding uncertainty information to cloud mask products – impact on Level 2 and Level 3 products
23	King	Michael	University of Colorado	USA	Session chair
24	Kinne	Stefan	University Hamburg	Germany	GEWEX Cloud Assessment: a review
25	Kokhanovsky	Alexander	University of Bremen	Germany	Retrieval of cloud properties using synthetic datasets
26	Le Gleau	Hervé	Météo France	France	SAFNWC / MSG cloud products
27	Lockhoff	Maarit	DWD	Germany	Accuracy Assessment of SEVIRI Cloud Detection and Cloud Top Height Retrievals Using Active Remote Sensing Data from CloudSat and CALIPSO
28	Lutz	Hans Joachim	Eumetsat	Europe	Multi-layer cloud detection within the SCE/CLA algorithm
29	Macke	Andreas	Leibniz Institute for Tropospheric Research	Germany	Session chair
30	Maddux	Brent	KNMI	Netherlands	Modis climatology
31	Marchant	Benjamin	NASA Goddard Space Flight Center	USA	Optical Property Cloud Phase Retrievals for MODIS Collection 6: assessment from CALIOP/CALIPSO
32	Meirink	Jan-Fokke	KNMI	Netherlands	Using MSG-SEVIRI for the inter-calibration of visible and near-infrared reflectance from polar imagers
33	Menzel	Paul	University of Wisconsin-Madison	USA	Keynote presenter
34	Minnis	Patrick	NASA, LaRC	USA	Updated NASA Langley Cloud Property Retrievals
35	Moroney	Catherine	NASA, Jet Propulsion Laboratory	USA
36	Müller	Jennifer	Institute for Space Science	Germany	Integrating Cloud Observations from Ground and Space – a Way to Combine Time and Space Information
37	Musial	Jan	University of Bern	Switzerland	An Enhanced cloud classification scheme based on radiative transfer simulations and aggregated ratings
38	Palikonda	Rabindra	NASA, Langley	USA	LaRC real-time satellite derived products – Overview: Applications and Limitations
39	Pavolonis	Michael	NOAA/NESDIS/STAR	USA	Cloud phase determination using infrared absorption optical depth ratios
40	Pincus	Robert	University of Colorado	USA	Small decisions with big impacts: MODIS, ISCCP, and the evaluation of clouds in climate models
41	Placidi	Simone	TU Delft	Netherlands	A novel technique for validating liquid water cloud properties
42	Platnick	Steven	NASA, GSFC	USA	Overview of the MODIS Collection 6 Optical Property Algorithm MODIS Optical Property Pixel-Level Uncertainty Estimates in Collection 6
43	Preusker	Rene	Free University of Berlin	Germany	Session chair
44	Puygrenier	Vincent	Météo France	France	A new spectrally consistent adiabatic method to derive cloud properties from MODIS measurement
45	Rausch	John	University of Wisconsin-Madison	USA	Estimation of cloud properties though a spectrally consistent adiabatic model
46	Riedi	Jérôme	University of Lille 1	France	Intercomparison of liquid cloud properties retrieved from POLDER/PARASOL, MODIS/AQUA and SEVIRI/MSG Use of A-Train observations to assess cloud phase retrievals from SEVIRI/MSG
47	Roebeling	Rob	KNMI	Netherlands	The CREW workshop: an overview
48	Scheirer	Ronald	SMHI	Sweden	Adding uncertainty tbc
49	Sèze	Geneviève	LMD	France	Evaluation of the global cloud cover distribution obtained from multi-geostationary data in the frame of the MEGHA-TROPIQUES mission with CALIPSO lidar observations
50	Smith	William L Jr.	NASA, Langley	USA	Improved Methods To Resolve The Vertical Distribution Of Cloud Water From Passive Satellite Data
51	Stengel	Martin	DWD	Germany	The inter-comparison of retrieved cloud properties within the ESA Cloud CCI project
52	Stephans	Graeme	Atmosphere Colorado State University	USA	Keynote lecture active sensors
53	Thomas	Gareth	University of Oxford	UK	Application and evaluation of the Oxford-RAL Retrieval of Aerosol and Cloud algorithm to MODIS data
54	Thoss	Anke	SMHI	Sweden	tbc
55	Trepte	Qing	Science Systems & Application Inc.	USA	A Comparison of Cloud Detection between CERES Ed4 Cloud Mask and CALIPSO Version 3 Vertical Feature Mask
56	Vidot	Jerome	Météo France	France	-
57	Walther	Andi	University of Wisconsin-Madison	USA	Sources of error in satellite derived cloud products
58	Watts	Philip	Eumetsat	Europe	Progress on optimal estimation cloud property retrieval from SEVIRI observations
59	Wind	Gala	NASA GSFC / SSAI, Inc	USA	Improvements in Night-time Low Cloud Detection and MODIS-Style Cloud Optical Properties from MSG SEVIRI
60	Wolters	Erwin	KNMI	Netherlands	Evaluation of a 30-year NOAA-AVHRR cloud property climate data record
61	Xiong	Xianxiong (Jack)	NASA GSFC	USA	MODIS Radiometric Calibration and Uncertainty Assessment
62	Zhang	Zhibo	University of Maryland	USA	An assessment of differences between cloud effective particle radius retrievals for marine water clouds from three MODIS spectral bands: observational and modeling studies

Participant list for CREW-2, Locarno (Switzerland), 2009


Baum	Bryan	University of Wisconsin	USA
Becker	Ralf	DWD	Germany
Bugliaro	Luca	DLR	Germany
Derrien	Marcel	Météo France	France
Deneke	Hartwig	KNMI	Netherlands
Devasthale	Abhay	SMHI	Sweden
Dybbroe	Adam	SMHI	Sweden
Emili	Emanuele	University Bern	Switzerland
Fischer	Jürgen	FU Berlin	Germany
Genevičve	Sčze	LMD	France
Fontana	Fabio	University Bern	Switzerland
Francis	Pete	UK MetOffice	UK
Giunta	Igor	MeteoSwiss	Switzerland
Genkova	Iliana	ECMWF	Europe
Heidinger	Andrew	University of Wisconsin	USA
Hocking	James	UK MetOffice	UK
Hollmann	Rainer	DWD	Germany
Huenerbein	Anja	FU Berlin	Germany
Ipe	Alessandro	Belgian Institute for Space Aeronomy	Belgium
Jonkheid	Bastiaan	KNMI	Netherlands
Joro	Sauli	Eumetsat	Europe
Kinne	Stefan	University Hamburg	Germany
Kokhanovski	Alexander	University Bremen	Germany
Lutz	Hans Joachim	Eumetsat	Europe
Legleau	Herve	Météo France	France
Lockhoff	Maarit	DWD	Germany
Macke	Andreas	University Kiel	Germany
Meirink	Jan Focke	KNMI	Netherlands
Minnis	Patrick	Nasa, LARC	USA
Pandey	Praveen	Flemish Institue for Technological Research	Belgium
Placidi	Simone	TU Delft	Netherlands
Platnick	Steve	NASA, GSFC	USA
Popp	Christoph	University Bern	Switzerland
Preusker	Rene	FU Berlin	Germany
Riedi	Jerome	University of Lille 1	France
Roebeling	Rob	KNMI	Netherlands
Scheirer	Ronald	SMHI	Sweden
Stubenrauch	Claudia	LMD	France
Stevens	Graeme	NASA	USA
Thoss	Anke	SMHI	Sweden
Watts	Philip	Eumetsat	Europe
Walther	Andi	University of Wisconsin	USA
Wolters	Erwin	KNMI	Netherlands
Wunderle	Stefan	University Bern	Switzerland

Participant list for CREW-1, Norrköping (Sweden), 2006


Baum	Bryan	SSEC, Wisconsin	USA
Derrien	Marcel	Météo-France	France
de Ruyter	Martijn	MeteoSwiss	Switzerland
de Valk	Paul	KNMI	Netherlands
Francis	Peter	Met Office	UK
Heidinger	Andy	SSEC, Wisconsin	USA
Hultgren	Pia	Swedish Air Force	Sweden
Ipe	Alessandro	Belgian Institute for Space Aeronomy	Belgium
Joro	Sauli	Eumetsat	Europe
Karlsson	Karl-Göran	SMHI	Sweden
Lavanant	Lydie	Météo-France	France
Le Gleau	Hervé	Météo-France	France
Lutz	Hans-Joachim	Eumetsat	Europe
Melfi	Davide	MeteoAM	Italy
Reuter	Maximilian	DWD	Germany
Roebeling	Rob	KNMI	Netherlands
Scheirer	Ronald	SMHI	Sweden
Stengel	Martin	SMHI	Sweden
Taylor	Ruth	Met Office	UK
Thoss	Anke	SMHI	Sweden
Walther	Andi	FU-Berlin	UK
Watts	Philip	Eumetsat	Europe
Willén	Ulrika	SMHI	Sweden

Mailing list

The mailing list shows the persons that receive announcements, invitations, and newsletters related to CREW. Persons or institutes that are active cloud remote sensing research are welcome to contact us for inclusion on the mailing list. Hereto, please send an e-mail to Ulrich Hamann.


Ackerman	Steve	University of Wisconsin	USA
Baum	Bryan	University of Wisconsin	USA
Becker	Ralf.	DWD	Germany
Bennartz	Ralf	University of Wisconsin	USA
Bovensmann	Heinrich	University of Bremen	Germany
Bugliaro	Luca	DLR Oberpfaffenhofen	Germany
Bühler	Stefan	TU Luleå	Sweden
Carbajal	Cintia	Free University of Berlin	Germany
Deneke	Hartwig	Leibniz Institute for Tropospheric Research	Germany
Derrien	Marcel	Meteo France	France
de Valk	Paul	KNMI	Netherlands
Devasthale	Abhay	SMHI	Sweden
Dewitte	Steven	Belgian Institute for Space Aeronomy	Belgium
Dybbroe	Adam	SHMI	Sweden
Faure	Francoise	DLR Oberpfaffenhofen	Germany
Fischer	Juergen	Free University of Berlin	Germany
Francis	Pete	UK Met Office	UK
Giunta	Igor	Meteo Swiss	Switzerland
Greuell	Wouter	KNMI	Netherlands
Heidinger	Andrew	University of Wisconsin	USA
Hocking	James	UK Met Office	UK
Hollmann	Rainer	DWD	Germany
Holmlund	Kenneth	Eumetsat	Germany
Huenerbein	Anja	Free University of Berlin	Germany
Ipe	Alessandro	Belgian Institute for Space Aeronomy	Belgium
Jonkheid	Bastiaan	KNMI	Netherlands
Joro	Sauli	Eumetsat	Europe
Karlsson	Karl-Goran	SMHI	Sweden
King	Michael D.	Nasa	USA
Kinne	Stefan	University Hamburg	Germany
Koenig	Marianne	Eumetsat	Europe
Kokhanovsky	Alexander	University of Bremen	Germany
Le Gleau	Hervé	Meteo France	France
Lockhoff	Maarit	DWD	Germany
Lutz	Hans Joachim	Eumetsat	Europe
Macke	Andreas	Leibniz Institute for Tropospheric Research	Germany
Mannstein	Hermann	DLR Oberpfaffenhofen	Germany
Mayer	Bernhard	DLR Oberpfaffenhofen	Germany
Meirink	Jan-Fokke	KNMI	Netherlands
Merchant	Chris	University of Edinburgh	UK
Minnis	Patrick	NASA Langley Research Center	USA
Placidi	Simone	TU Delft	Netherlands
Platnick	Steven	NASA GSFC	USA
Poulsen	Caroline	Rutherford Appleton Laboratory, Oxfordshire	UK
Praveen	Pandey	Flemish Institue for Technological Research	Belgium
Preusker	Rene	Free University of Berlin	Germany
Riedi	Jerome	University of Lille 1	France
Roebeling	Rob	KNMI	Netherlands
Rosenfeld	Daniel	The Hebrew University of Jerusalem	Israel
Rossow	William B.	City University of New York	USA
Scheirer	Ronald	SMHI	Sweden
Seiz	Gabriela	Meteo Swiss	Switzerland
Seze	Genevieve	LMD	France
Stengel	Martin	DWD	Germany
Stephens	Graeme	Colorado State University	USA
Stubenrauch	Claudia	LMD	France
Tetzlaff	Anke	SMHI	Sweden
Thomas	Gareth	Oxford University	UK
Thoss	Anke	SMHI	Sweden
Tselioudis	George	NASA GISS	USA
Van Lipzig	Nicole	Katholic University of Leuven	Belgium
Walther	Andi	University of Wisconsin	USA
Watts	Philip	Eumetsat	Europe
Wolters	Erwin	KNMI	Netherlands
Winker	Dave	NASA	USA
Zhang	Zhibo	NASA GSFC	USA
Zinner	Tobias	DLR Oberpfaffenhofen	Germany

@@ Line 36: / Line 36: @@
 |13|| Hamann     || Ulrich     || KNMI                      || Netherlands || [[Image:Netherlands.gif]]|| The CREW workshop: an overview
 |-
-|14|| Heck       || Patrick W. || University of Wisconsin-Madison  || USA         || [[Image:USA.gif]]        || Improved Methods for and Validation of Nighttime Cloud Property Retrievals from SEVIRI, GOES and MODIS
+|14|| Heck       || Patrick W. || University of Wisconsin-Madison  || USA         || [[Image:USA.gif]] || Improved Methods for and Validation of Nighttime Cloud Property Retrievals from SEVIRI, GOES and MODIS
 |-
 |15|| Heidinger  || Andrew     || NASA, Nesdis              || USA         || [[Image:USA.gif]]        || State of the NOAA AWG Cloud Algorithms and their application in the Great Lakes Region
@@ Line 54: / Line 54: @@
 |22|| Karlsson   || Karl-Göran || SMHI                      || Sweden      || [[Image:Sweden.gif]]     || Adding uncertainty information to cloud mask products – impact on Level 2 and Level 3 products
 |-
-|23|| King       || Michael    || University of Colorado    || USA         || [[Image:USA.gif]]        || -
+|23|| King       || Michael    || University of Colorado    || USA         || [[Image:USA.gif]]        || Session chair
 |-
 |24|| Kinne      || Stefan     || University Hamburg        || Germany     || [[Image:Germany.gif]]    || GEWEX Cloud Assessment: a review
@@ Line 66: / Line 66: @@
 |28|| Lutz       || Hans Joachim || Eumetsat                || Europe      || [[Image:Europe.gif]]     || Multi-layer cloud detection within the SCE/CLA algorithm
 |-
-|29|| Macke     || Andreas    || Leibniz Institute for Tropospheric Research || Germany || [[Image:Germany.gif]] || Session Chair
+|29|| Macke     || Andreas    || Leibniz Institute for Tropospheric Research || Germany || [[Image:Germany.gif]] || Session chair
 |-
 |30|| Maddux     || Brent     || KNMI                      || Netherlands || [[Image:Netherlands.gif]]|| Modis climatology
@@ Line 92: / Line 92: @@
 |41|| Placidi    || Simone     || TU Delft                  || Netherlands || [[Image:Netherlands.gif]]|| A novel technique for validating liquid water cloud properties
 |-
-|42|| Platnick   || Steven     || NASA, GSFC                || USA         || [[Image:USA.gif]]              || Overview of the MODIS Collection 6 Optical Property Algorithm<br>MODIS Optical Property Pixel-Level Uncertainty Estimates in Collection 6
+|42|| Platnick   || Steven     || NASA, GSFC                || USA         || [[Image:USA.gif]]       || Overview of the MODIS Collection 6 Optical Property Algorithm<br>MODIS Optical Property Pixel-Level Uncertainty Estimates in Collection 6
 |-
-|43|| Preusker   || Rene       || Free University of Berlin      || Germany    || [[Image:Germany.gif]]      || Session chair
+|43|| Preusker   || Rene       || Free University of Berlin      || Germany    || [[Image:Germany.gif]] || Session chair
 |-
 |44|| Puygrenier   || Vincent     || Météo France              || France      || [[Image:France.gif]] ||  A new spectrally consistent adiabatic method to derive cloud properties from MODIS measurement
@@ Line 112: / Line 112: @@
 |51|| Stengel    || Martin     || DWD                       || Germany     || [[Image:Germany.gif]]    || The inter-comparison of retrieved cloud properties within the ESA Cloud CCI project
 |-
-|52|| Stephans   || Graeme       ||  Atmosphere Colorado State University           || USA         || [[Image:USA.gif]]        || ''Keynote lecture active sensors''
+|52|| Stephans   || Graeme     ||  Atmosphere Colorado State University    || USA  || [[Image:USA.gif]]        || ''Keynote lecture active sensors''
 |-
 |53|| Thomas     || Gareth     ||  University of Oxford || UK|| [[Image:UK.gif]]       || Application and evaluation of the Oxford-RAL Retrieval of Aerosol and Cloud algorithm to MODIS data

Participants - CrewWiki