Talk:Participants
From CrewWiki
Participant list for CREW-3, Madison/Wisconsin (USA), 2011 (preliminary)
| abstract | wish | data | ||||||
|---|---|---|---|---|---|---|---|---|
| 1 | Ackerman | Stefan | 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 | 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 |
| 40 | Roebeling | Rob | KNMI | Netherlands | | The CREW workshop: an overview | oral | yes |
| 41 | Schultz | Jörg | Eumetsat | Europe | | Keynote lecture instrument calibration (GSICS) | oral | |
| 42 | 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 |
| 43 | 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 |
| 44 | Stengel | Martin | DWD | Germany | | The inter-comparison of retrieved cloud properties within the ESA Cloud CCI project | oral | no |
| 45 | Stephans | Graeme | Atmosphere Colorado State University | USA | | Keynote lecture active sensors | oral | |
| 46 | Thomas | Gareth | University of Oxford | UK | | Application and evaluation of the Oxford-RAL Retrieval of Aerosol and Cloud algorithm to MODIS data | poster | no |
| 47 | 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 |
| 48 | Vidot | Jerome | Météo France | France | | - | none | no |
| 49 | Walther | Andi | University of Wisconsin-Madison | USA | | Sources of error in satellite derived cloud products | o and p | yes |
| 50 | Watts | Philip | Eumetsat | Europe | | Progress on optimal estimation cloud property retrieval from SEVIRI observations | oral | yes |
| 51 | 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 |
| 52 | Wolters | Erwin | KNMI | Netherlands | | Evaluation of a 30-year NOAA-AVHRR cloud property climate data record | oral | no |
| 53 | Xiong | Xianxiong (Jack) | NASA GSFC | USA | | MODIS Radiometric Calibration and Uncertainty Assessment | oral | no |
| 54 | 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 |
