Talk:Participants
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== Participant list for CREW-3, Madison/Wisconsin (USA), 2011 (''preliminary'') == | == Participant list for CREW-3, Madison/Wisconsin (USA), 2011 (''preliminary'') == | ||
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- | | Ackerman || | + | | 1|| Ackerman || Steve || University of Wisconsin-Madison || USA || [[Image:USA.gif]] || ''Keynotes passive instruments'' || oral || |
|- | |- | ||
- | | Baum || Bryan || University of Wisconsin-Madison || USA || [[Image:USA.gif]] || MODIS Collection 6 Cloud Top Height and IR Thermodynamic Phase || oral || | + | | 2|| Baum || Bryan || University of Wisconsin-Madison || USA || [[Image:USA.gif]] || MODIS Collection 6 Cloud Top Height and IR Thermodynamic Phase || oral || |
|- | |- | ||
- | | Bennartz || Ralf || University of Wisconsin | + | | 3|| Bennartz || Ralf || University of Wisconsin-Madison || USA || [[Image:USA.gif]] || Cloud liquid water path of warm clouds from passive microwave and visible/near-infrared imagers || oral || |
|- | |- | ||
- | | Bojkov || Bojan || ESA/ESRIN || Europe || [[Image:Europe.gif]] || - || none || no | + | | 4|| Bojkov || Bojan || ESA/ESRIN || Europe || [[Image:Europe.gif]] || - || none || no |
|- | |- | ||
- | | Bugliaro || Luca || DLR Oberpfaffenhofen || Germany || [[Image:Germany.gif]]|| Realistic Simulations of MSG/SEVIRI Scenes for Cloud Algorithm Validation || oral || yes | + | | 5|| Bugliaro || Luca || DLR Oberpfaffenhofen || Germany || [[Image:Germany.gif]]|| Realistic Simulations of MSG/SEVIRI Scenes for Cloud Algorithm Validation || oral || yes |
|- | |- | ||
- | | Carbajal Henken || Cintia || Free University of Berlin || Germany || [[Image:Germany.gif]]|| Synergistic MERIS-AATSR cloud properties retrievals using optimal estimation technique || poster || yes | + | | 6|| Carbajal Henken || Cintia || Free University of Berlin || Germany || [[Image:Germany.gif]]|| Synergistic MERIS-AATSR cloud properties retrievals using optimal estimation technique || poster || yes |
|- | |- | ||
- | | Chang || Fu-Lung || NASA, Science Systems & Applications Inc. || USA || [[Image:USA.gif]] || Using CALIPSO/CloudSat Data to Evaluate the Multilayer Cloud Properties Retrieved from MODIS and SEVIRI Data || oral || | + | | 7|| Chang || Fu-Lung || NASA, Science Systems & Applications Inc. || USA || [[Image:USA.gif]] || Using CALIPSO/CloudSat Data to Evaluate the Multilayer Cloud Properties Retrieved from MODIS and SEVIRI Data || oral || |
|- | |- | ||
- | | Delanoë || Julien || Observations Spatiales (LATMOS)/UVSQ/CNRS/IPSL || France || [[Image:France.gif]] || DARDAR: CloudSat and CALIPO synergy product for cloud studies || oral || yes | + | | 8|| Delanoë || Julien || Observations Spatiales (LATMOS)/UVSQ/CNRS/IPSL || France || [[Image:France.gif]] || DARDAR: CloudSat and CALIPO synergy product for cloud studies || oral || yes |
|- | |- | ||
- | | Deneke || Hartwig || Leibniz Institute for Tropospheric Research || Germany || [[Image:Germany.gif]] || Cloud analyses with passive satellite imagery viewed from the radiative perspective || || | + | | 9|| Deneke || Hartwig || Leibniz Institute for Tropospheric Research || Germany || [[Image:Germany.gif]] || Cloud analyses with passive satellite imagery viewed from the radiative perspective || oral || no |
|- | |- | ||
- | | Derrien || Marcel || Météo France || France || [[Image:France.gif]] || | + | |10|| Derrien || Marcel || Météo France || France || [[Image:France.gif]] || coauther || none || no |
|- | |- | ||
- | | Doelling || Dave || NASA, Langley || USA || [[Image:USA.gif]] || The calibration of geostationary visible sensors using MODIS as a reference || oral || no | + | |11|| Doelling || Dave || NASA, Langley || USA || [[Image:USA.gif]] || The calibration of geostationary visible sensors using MODIS as a reference || oral || no |
|- | |- | ||
- | | Hamann || Ulrich || KNMI || Netherlands || [[Image:Netherlands.gif]]|| The CREW workshop: an overview || oral || | + | |12|| Hamann || Ulrich || KNMI || Netherlands || [[Image:Netherlands.gif]]|| The CREW workshop: an overview || oral || no |
|- | |- | ||
- | | Heck || Patrick W. || University of | + | |13|| 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 || poster || no |
|- | |- | ||
- | | Heidinger || Andrew || NASA, Nesdis || USA || [[Image:USA.gif]] || State of the NOAA AWG Cloud Algorithms and their application in the Great Lakes Region || oral || yes | + | |14|| Heidinger || Andrew || NASA, Nesdis || USA || [[Image:USA.gif]] || State of the NOAA AWG Cloud Algorithms and their application in the Great Lakes Region || oral || yes |
|- | |- | ||
- | | Horváth || Ákos || MPI, Hamburg || Germany || [[Image:Germany.gif]] || Evaluation of MISR Stereo Cloud-Top Height Retrievals || oral || yes | + | |15|| Horváth || Ákos || MPI, Hamburg || Germany || [[Image:Germany.gif]] || Evaluation of MISR Stereo Cloud-Top Height Retrievals || oral || yes |
|- | |- | ||
- | | Hünerbein || Anja || | + | |16|| Hünerbein || Anja || Leibniz Institute for Tropospheric Research || Germany || [[Image:Germany.gif]] || Synergetic cloud top height retrieval for a passive and an active sensor || oral || no |
|- | |- | ||
- | | Jonkheid || Bastiaan || KNMI || Netherlands || [[Image:Netherlands.gif]]|| A MSG/SEVIRI simulator for the validation of climate models || oral || yes | + | |17|| Jonkheid || Bastiaan || KNMI || Netherlands || [[Image:Netherlands.gif]]|| A MSG/SEVIRI simulator for the validation of climate models || oral || yes |
|- | |- | ||
- | | Joro || Sauli || Eumetsat || Europe || [[Image:Europe.gif]] || - || none || no | + | |18|| Joro || Sauli || Eumetsat || Europe || [[Image:Europe.gif]] || - || none || no |
|- | |- | ||
- | | Kahn || Brian || NASA, JPL || USA || [[Image:USA.gif]] || New AIRS Version 6 cloud retrievals: cloud thermodynamic phase, cirrus cloud optical thickness and effective diameter || o or p || yes | + | |19|| Kahn || Brian || NASA, JPL || USA || [[Image:USA.gif]] || New AIRS Version 6 cloud retrievals: cloud thermodynamic phase, cirrus cloud optical thickness and effective diameter || o or p || yes |
|- | |- | ||
- | | Karlsson || | + | |20|| Karlsson || Karl-Göran || SMHI || Sweden || [[Image:Sweden.gif]] || Adding uncertainty information to cloud mask products – impact on Level 2 and Level 3 products || oral || no |
|- | |- | ||
- | | King || Michael || University of Colorado || USA || [[Image:USA.gif]] || - || none || no | + | |21|| King || Michael || University of Colorado || USA || [[Image:USA.gif]] || - || none || no |
|- | |- | ||
- | | Kinne || Stefan || University Hamburg || Germany || [[Image:Germany.gif]] || GEWEX Cloud Assessment: a review || oral || no | + | |22|| Kinne || Stefan || University Hamburg || Germany || [[Image:Germany.gif]] || GEWEX Cloud Assessment: a review || oral || no |
|- | |- | ||
- | | Kokhanovsky || Alexander || University of Bremen || Germany || [[Image:Germany.gif]] || Retrieval of cloud properties using synthetic datasets || oral || yes | + | |23|| Kokhanovsky || Alexander || University of Bremen || Germany || [[Image:Germany.gif]] || Retrieval of cloud properties using synthetic datasets || oral || yes |
|- | |- | ||
- | | Le Gleau || Hervé || Météo France || France || [[Image:France.gif]] || | + | |24|| Le Gleau || Hervé || Météo France || France || [[Image:France.gif]] || SAFNWC / MSG cloud products || oral || yes |
|- | |- | ||
- | | Lockhoff || Maarit || DWD || Germany || [[Image:Germany.gif]] || Accuracy Assessment of SEVIRI Cloud Detection and Cloud Top Height Retrievals Using Active Remote Sensing Data from CloudSat and CALIPSO || oral || yes | + | |25|| Lockhoff || Maarit || DWD || Germany || [[Image:Germany.gif]] || Accuracy Assessment of SEVIRI Cloud Detection and Cloud Top Height Retrievals Using Active Remote Sensing Data from CloudSat and CALIPSO || oral || yes |
|- | |- | ||
- | | Lutz || Hans Joachim || Eumetsat || Europe || [[Image:Europe.gif]] || Multi-layer cloud detection within the SCE/CLA algorithm || oral || yes | + | |26|| Lutz || Hans Joachim || Eumetsat || Europe || [[Image:Europe.gif]] || Multi-layer cloud detection within the SCE/CLA algorithm || oral || yes |
|- | |- | ||
- | | Marchant || Benjamin || NASA Goddard Space Flight Center || USA || [[Image:USA.gif]] || Optical Property Cloud Phase Retrievals for MODIS Collection 6: assessment from CALIOP/CALIPSO || poster || no | + | |27|| Marchant || Benjamin || NASA Goddard Space Flight Center || USA || [[Image:USA.gif]] || Optical Property Cloud Phase Retrievals for MODIS Collection 6: assessment from CALIOP/CALIPSO || poster || no |
|- | |- | ||
- | | Meirink || Jan-Focke || KNMI || Netherlands || [[Image:Netherlands.gif]]|| Using MSG-SEVIRI for the inter-calibration of visible and near-infrared reflectance from polar imagers || oral || no | + | |28|| Meirink || Jan-Focke || KNMI || Netherlands || [[Image:Netherlands.gif]]|| Using MSG-SEVIRI for the inter-calibration of visible and near-infrared reflectance from polar imagers || oral || no |
|- | |- | ||
- | + | |29|| Minnis || Patrick || NASA, LaRC || USA || [[Image:USA.gif]] || Updated NASA Langley Cloud Property Retrievals || oral || yes | |
- | | Minnis || Patrick || NASA, LaRC || USA || [[Image:USA.gif]] || Updated NASA Langley Cloud Property Retrievals || oral || yes | + | |
|- | |- | ||
- | | Moroney || Catherine || NASA, Jet Propulsion Laboratory || USA || [[Image:USA.gif]] || || coauther || no | + | |30|| Moroney || Catherine || NASA, Jet Propulsion Laboratory || USA || [[Image:USA.gif]] || || coauther || no |
|- | |- | ||
- | | Müller || Jennifer || Institute for Space Science || Germany || [[Image:Germany.gif]] || | + | |31|| Müller || Jennifer || Institute for Space Science || Germany || [[Image:Germany.gif]] || Integrating Cloud Observations from Ground and Space – a Way to Combine Time and Space Information |
+ | || poster || no | ||
|- | |- | ||
- | | Musial || Jan || University of Bern || Switzerland || [[Image:Switzerland.gif]]|| An Enhanced cloud classification scheme based on radiative transfer simulations and aggregated ratings || oral || no | + | |32|| Musial || Jan || University of Bern || Switzerland || [[Image:Switzerland.gif]]|| An Enhanced cloud classification scheme based on radiative transfer simulations and aggregated ratings || oral || no |
|- | |- | ||
- | | Palikonda || Rabindra || NASA, Langley || USA || [[Image:USA.gif]] || LaRC real-time satellite derived products – Overview: Applications and Limitations || oral || no | + | |33|| Palikonda || Rabindra || NASA, Langley || USA || [[Image:USA.gif]] || LaRC real-time satellite derived products – Overview: Applications and Limitations || oral || no |
|- | |- | ||
- | | Pavolonis || Michael || NOAA/NESDIS/STAR || USA || [[Image:USA.gif]] || | + | |34|| Pavolonis || Michael || NOAA/NESDIS/STAR || USA || [[Image:USA.gif]] || Cloud phase determination using infrared absorption optical depth ratios || oral || yes |
|- | |- | ||
- | | Pincus || Robert || University of Colorado || USA || [[Image:USA.gif]] || Small decisions with big impacts: MODIS, ISCCP, and the evaluation of clouds in climate models || oral || no | + | |35|| Pincus || Robert || University of Colorado || USA || [[Image:USA.gif]] || Small decisions with big impacts: MODIS, ISCCP, and the evaluation of clouds in climate models || oral || no |
|- | |- | ||
- | | Placidi || Simone || TU Delft || Netherlands || [[Image:Netherlands.gif]]|| A novel technique for validating liquid water cloud properties || oral || no | + | |36|| Placidi || Simone || TU Delft || Netherlands || [[Image:Netherlands.gif]]|| A novel technique for validating liquid water cloud properties || oral || no |
|- | |- | ||
- | | 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 || 2 x oral || yes | + | |37|| 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 || 2 x oral || yes |
|- | |- | ||
- | | Puygrenier || Vincent || Météo France || France || [[Image:France.gif]] || A new spectrally consistent adiabatic method to derive cloud properties from MODIS measurement || poster || no | + | |38|| Puygrenier || Vincent || Météo France || France || [[Image:France.gif]] || A new spectrally consistent adiabatic method to derive cloud properties from MODIS measurement || poster || no |
|- | |- | ||
- | | 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 | + | |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 | ||
+ | |- | ||
+ | |41|| Roebeling || Rob || KNMI || Netherlands || [[Image:Netherlands.gif]]|| The CREW workshop: an overview || oral || yes | ||
+ | |- | ||
+ | |42|| Schulz || 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 |
|- | |- | ||
- | | | + | |45|| Smith || William L Jr. || NASA, Langley || USA || [[Image:USA.gif]] || Improved Methods To Resolve The Vertical Distribution Of Cloud Water From Passive Satellite Data || o or p || no |
|- | |- | ||
- | | | + | |46|| Stengel || Martin || DWD || Germany || [[Image:Germany.gif]] || The inter-comparison of retrieved cloud properties within the ESA Cloud CCI project || oral || no |
|- | |- | ||
- | | | + | |47|| Stephans || Graeme || Atmosphere Colorado State University || USA || [[Image:USA.gif]] || ''Keynote lecture active sensors'' || oral || |
|- | |- | ||
- | | | + | |48|| Thomas || Gareth || University of Oxford || UK|| [[Image:Europe.gif]] || Application and evaluation of the Oxford-RAL Retrieval of Aerosol and Cloud algorithm to MODIS data || poster || no |
|- | |- | ||
- | | | + | |49|| Thoss || Anke || SMHI || Sweden || [[Image:Sweden.gif]] || tbc || tbc || tbc |
|- | |- | ||
- | | Trepte || Qing || Science Systems & Application Inc. || USA || [[Image:USA.gif]] || A Comparison of Cloud Detection between CERES Ed4 Cloud Mask and CALIPSO Version 3 Vertical Feature Mask || o or p || no | + | |50|| Trepte || Qing || Science Systems & Application Inc. || USA || [[Image:USA.gif]] || A Comparison of Cloud Detection between CERES Ed4 Cloud Mask and CALIPSO Version 3 Vertical Feature Mask || o or p || no |
|- | |- | ||
- | | Vidot || Jerome || Météo France || France || [[Image:France.gif]] || - || none || no | + | |51|| Vidot || Jerome || Météo France || France || [[Image:France.gif]] || - || none || no |
|- | |- | ||
- | | Walther || Andi || University of Wisconsin || USA || [[Image:USA.gif]] || Sources of error in satellite derived cloud products || o and p || yes | + | |52|| Walther || Andi || University of Wisconsin-Madison || USA || [[Image:USA.gif]] || Sources of error in satellite derived cloud products || o and p || yes |
|- | |- | ||
- | | Watts || Philip || Eumetsat || Europe || [[Image:Europe.gif]] || Progress on optimal estimation cloud property retrieval from SEVIRI observations || oral || yes | + | |53|| Watts || Philip || Eumetsat || Europe || [[Image:Europe.gif]] || Progress on optimal estimation cloud property retrieval from SEVIRI observations || oral || yes |
|- | |- | ||
- | | Wind || Galina || NASA GSFC / SSAI, Inc || USA || [[Image:USA.gif]] || Improvements in Night-time Low Cloud Detection and MODIS-Style Cloud Optical Properties from MSG SEVIRI || oral || yes | + | |54|| Wind || Galina || NASA GSFC / SSAI, Inc || USA || [[Image:USA.gif]] || Improvements in Night-time Low Cloud Detection and MODIS-Style Cloud Optical Properties from MSG SEVIRI || oral || yes |
|- | |- | ||
- | | Wolters || Erwin || KNMI || Netherlands || [[Image:Netherlands.gif]]|| Evaluation of a 30-year NOAA-AVHRR cloud property climate data record || oral || no | + | |55|| Wolters || Erwin || KNMI || Netherlands || [[Image:Netherlands.gif]]|| Evaluation of a 30-year NOAA-AVHRR cloud property climate data record || oral || no |
|- | |- | ||
- | | Xiong || Xianxiong (Jack) || NASA GSFC || USA || [[Image:USA.gif]] || MODIS Radiometric Calibration and Uncertainty Assessment || oral || no | + | |56|| Xiong || Xianxiong (Jack) || NASA GSFC || USA || [[Image:USA.gif]] || MODIS Radiometric Calibration and Uncertainty Assessment || oral || no |
|- | |- | ||
- | | Zhang || Zhibo || University of Maryland || USA || [[Image:USA.gif]] || 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 | + | |57|| Zhang || Zhibo || University of Maryland || USA || [[Image:USA.gif]] || 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 |
|- | |- | ||
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