Talk:Participants

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(Difference between revisions)

Latest revision as of 17:43, 1 July 2011

Participant list for CREW-3, Madison/Wisconsin (USA), 2011 (preliminary)

					abstract	wish	data
1	Ackerman	Steve	University of Wisconsin-Madison	USA	Keynotes passive instruments	oral
2	Baum	Bryan	University of Wisconsin-Madison	USA	MODIS Collection 6 Cloud Top Height and IR Thermodynamic Phase	oral
3	Bennartz	Ralf	University of Wisconsin-Madison	USA	Cloud liquid water path of warm clouds from passive microwave and visible/near-infrared imagers	oral
4	Bojkov	Bojan	ESA/ESRIN	Europe	-	none	no
5	Bugliaro	Luca	DLR Oberpfaffenhofen	Germany	Realistic Simulations of MSG/SEVIRI Scenes for Cloud Algorithm Validation	oral	yes
6	Carbajal Henken	Cintia	Free University of Berlin	Germany	Synergistic MERIS-AATSR cloud properties retrievals using optimal estimation technique	poster	yes
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	oral
8	Delanoë	Julien	Observations Spatiales (LATMOS)/UVSQ/CNRS/IPSL	France	DARDAR: CloudSat and CALIPO synergy product for cloud studies	oral	yes
9	Deneke	Hartwig	Leibniz Institute for Tropospheric Research	Germany	Cloud analyses with passive satellite imagery viewed from the radiative perspective	oral	no
10	Derrien	Marcel	Météo France	France	coauther	none	no
11	Doelling	Dave	NASA, Langley	USA	The calibration of geostationary visible sensors using MODIS as a reference	oral	no
12	Hamann	Ulrich	KNMI	Netherlands	The CREW workshop: an overview	oral	no
13	Heck	Patrick W.	University of Wisconsin-Madison	USA	Improved Methods for and Validation of Nighttime Cloud Property Retrievals from SEVIRI, GOES and MODIS	poster	no
14	Heidinger	Andrew	NASA, Nesdis	USA	State of the NOAA AWG Cloud Algorithms and their application in the Great Lakes Region	oral	yes
15	Horváth	Ákos	MPI, Hamburg	Germany	Evaluation of MISR Stereo Cloud-Top Height Retrievals	oral	yes
16	Hünerbein	Anja	Leibniz Institute for Tropospheric Research	Germany	Synergetic cloud top height retrieval for a passive and an active sensor	oral	no
17	Jonkheid	Bastiaan	KNMI	Netherlands	A MSG/SEVIRI simulator for the validation of climate models	oral	yes
18	Joro	Sauli	Eumetsat	Europe	-	none	no
19	Kahn	Brian	NASA, JPL	USA	New AIRS Version 6 cloud retrievals: cloud thermodynamic phase, cirrus cloud optical thickness and effective diameter	o or p	yes
20	Karlsson	Karl-Göran	SMHI	Sweden	Adding uncertainty information to cloud mask products – impact on Level 2 and Level 3 products	oral	no
21	King	Michael	University of Colorado	USA	-	none	no
22	Kinne	Stefan	University Hamburg	Germany	GEWEX Cloud Assessment: a review	oral	no
23	Kokhanovsky	Alexander	University of Bremen	Germany	Retrieval of cloud properties using synthetic datasets	oral	yes
24	Le Gleau	Hervé	Météo France	France	SAFNWC / MSG cloud products	oral	yes
25	Lockhoff	Maarit	DWD	Germany	Accuracy Assessment of SEVIRI Cloud Detection and Cloud Top Height Retrievals Using Active Remote Sensing Data from CloudSat and CALIPSO	oral	yes
26	Lutz	Hans Joachim	Eumetsat	Europe	Multi-layer cloud detection within the SCE/CLA algorithm	oral	yes
27	Marchant	Benjamin	NASA Goddard Space Flight Center	USA	Optical Property Cloud Phase Retrievals for MODIS Collection 6: assessment from CALIOP/CALIPSO	poster	no
28	Meirink	Jan-Focke	KNMI	Netherlands	Using MSG-SEVIRI for the inter-calibration of visible and near-infrared reflectance from polar imagers	oral	no
29	Minnis	Patrick	NASA, LaRC	USA	Updated NASA Langley Cloud Property Retrievals	oral	yes
30	Moroney	Catherine	NASA, Jet Propulsion Laboratory	USA		coauther	no
31	Müller	Jennifer	Institute for Space Science	Germany	Integrating Cloud Observations from Ground and Space – a Way to Combine Time and Space Information	poster	no
32	Musial	Jan	University of Bern	Switzerland	An Enhanced cloud classification scheme based on radiative transfer simulations and aggregated ratings	oral	no
33	Palikonda	Rabindra	NASA, Langley	USA	LaRC real-time satellite derived products – Overview: Applications and Limitations	oral	no
34	Pavolonis	Michael	NOAA/NESDIS/STAR	USA	Cloud phase determination using infrared absorption optical depth ratios	oral	yes
35	Pincus	Robert	University of Colorado	USA	Small decisions with big impacts: MODIS, ISCCP, and the evaluation of clouds in climate models	oral	no
36	Placidi	Simone	TU Delft	Netherlands	A novel technique for validating liquid water cloud properties	oral	no
37	Platnick	Steven	NASA, GSFC	USA	Overview of the MODIS Collection 6 Optical Property Algorithm MODIS Optical Property Pixel-Level Uncertainty Estimates in Collection 6	2 x oral	yes
38	Puygrenier	Vincent	Météo France	France	A new spectrally consistent adiabatic method to derive cloud properties from MODIS measurement	poster	no
39	Rausch	John	University of Wisconsin-Madison	USA	Estimation of cloud properties though a spectrally consistent adiabatic model	poster
40	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	2 x oral	yes
41	Roebeling	Rob	KNMI	Netherlands	The CREW workshop: an overview	oral	yes
42	Schulz	Jörg	Eumetsat	Europe	Keynote lecture instrument calibration (GSICS)	oral
43	Scheirer	Ronald	SMHI	Sweden	Adding uncertainty tbc	oral	no
44	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	oral	no
45	Smith	William L Jr.	NASA, Langley	USA	Improved Methods To Resolve The Vertical Distribution Of Cloud Water From Passive Satellite Data	o or p	no
46	Stengel	Martin	DWD	Germany	The inter-comparison of retrieved cloud properties within the ESA Cloud CCI project	oral	no
47	Stephans	Graeme	Atmosphere Colorado State University	USA	Keynote lecture active sensors	oral
48	Thomas	Gareth	University of Oxford	UK	Application and evaluation of the Oxford-RAL Retrieval of Aerosol and Cloud algorithm to MODIS data	poster	no
49	Thoss	Anke	SMHI	Sweden	tbc	tbc	tbc
50	Trepte	Qing	Science Systems & Application Inc.	USA	A Comparison of Cloud Detection between CERES Ed4 Cloud Mask and CALIPSO Version 3 Vertical Feature Mask	o or p	no
51	Vidot	Jerome	Météo France	France	-	none	no
52	Walther	Andi	University of Wisconsin-Madison	USA	Sources of error in satellite derived cloud products	o and p	yes
53	Watts	Philip	Eumetsat	Europe	Progress on optimal estimation cloud property retrieval from SEVIRI observations	oral	yes
54	Wind	Galina	NASA GSFC / SSAI, Inc	USA	Improvements in Night-time Low Cloud Detection and MODIS-Style Cloud Optical Properties from MSG SEVIRI	oral	yes
55	Wolters	Erwin	KNMI	Netherlands	Evaluation of a 30-year NOAA-AVHRR cloud property climate data record	oral	no
56	Xiong	Xianxiong (Jack)	NASA GSFC	USA	MODIS Radiometric Calibration and Uncertainty Assessment	oral	no
57	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	oral	no

@@ Line 88: / Line 88: @@
 |38|| Puygrenier   || Vincent     || Météo France              || France      || [[Image:France.gif]] ||  A new spectrally consistent adiabatic method to derive cloud properties from MODIS measurement   || poster   || no
 |-
-|39|| Rauch       || John      || University of Wisconsin-Madison || USA        || [[Image:USA.gif]]    ||Estimation of cloud properties though a spectrally consistent adiabatic model   || poster   ||
+|39|| Rausch       || John      || University of Wisconsin-Madison || USA        || [[Image:USA.gif]]    ||Estimation of cloud properties though a spectrally consistent adiabatic model   || poster   ||
 |-
 |40|| Riedi      || Jérôme     || University of Lille 1     || France      || [[Image:France.gif]]     || Intercomparison of liquid cloud properties retrieved from POLDER/PARASOL, MODIS/AQUA and SEVIRI/MSG<br>Use of A-Train observations to assess cloud phase retrievals from SEVIRI/MSG     || 2 x oral || yes
@@ Line 94: / Line 94: @@
 |41|| Roebeling  || Rob        || KNMI                      || Netherlands || [[Image:Netherlands.gif]]||  The CREW workshop: an overview  || oral  || yes
 |-
-|42|| Scheirer   || Ronald|| SMHI                      || Sweden      || [[Image:Sweden.gif]]     || tbc    || tbc   || tbc
+|42|| Schulz   || Jörg       ||  Eumetsat           || Europe         || [[Image:Europe.gif]]        || ''Keynote lecture instrument calibration'' (GSICS)    || oral       ||
 |-
-|43|| Schultz   || Jörg       ||  Eumetsat           || Europe         || [[Image:Europe.gif]]        || ''Keynote lecture instrument calibration'' (GSICS)    || oral       ||
+|43|| Scheirer   || Ronald || SMHI                      || Sweden      || [[Image:Sweden.gif]]     || Adding uncertainty tbc    || oral   || no
 |-
 |44|| Sèze       || Geneviève  || LMD                       || France      || [[Image:France.gif]]     || Evaluation of the global cloud cover distribution obtained from multi-geostationary data in the frame of the MEGHA-TROPIQUES mission with CALIPSO lidar observations    || oral   || no

Talk:Participants - CrewWiki

Talk:Participants

From CrewWiki

Latest revision as of 17:43, 1 July 2011

Participant list for CREW-3, Madison/Wisconsin (USA), 2011 (preliminary)