PPT-Spatio -temporal aerosol particle

distributions in the Upper TroposphereLowermost Stratosphere measured by the IAGOSCARIBIC Observatory Denise Assmann M Hermann A Weigelt B Martinsson C Brenninkmeijer A . Example from the Saharan Desert.. Deep Blue . Algorithm from this reference.. darkness. Blue sky. Blue sky bright aerosol. Bright aerosol . brighten dark surface. Dark aerosol . darken bright surface. VIIRS Aerosol Cal/Val Team. VIIRS Aerosol Science and Operational Users Workshop November 21-22, 2013. 1. Outline. VIIRS Aerosol Products. Environmental Data Record (EDR). Intermediate Product (IP). Spatio-Temporal Uncertain (Social) Networks. . Chanhyun Kang. Computer Science Dept.. University of Maryland, USA. chanhyun@cs.umd.edu. Andrea Pugliese. DEIS Dept.. University of Calabria, Italy. apugliese@deis.unical.it. Amazon (GoAmazon2014/5). . . . . Carbon Cycle Cloud Life Cycle Aerosol Life Cycle. Climate. Ecosystems. Atmospheric Composition. Presented by . Scot . Martin . (Harvard). o. n behalf of Brazil. Betty Croft. 1. , Jeff Pierce. 1,2. and Randall Martin. 1,3. 1. Dalhousie University, Halifax, Canada. 2. Colorado State University, Fort Collins, USA. 3. Harvard-Smithsonian Center for Astrophysics, Cambridge, USA. Yan . Zhang. 1. , . Hongbin. . Yu. 2. , . Alexander . Smirnov. 1. , . Tom . Eck. 1. , . Mian. . Chin. 3. , . Lorraine . Remer. 3. , . Qian. . Tan. 1. , . Robert . Levy. 4. 1 GESTAR/USRA, 2 ESSIC, 3 NASA/GSFC, 4 SSAI. . E. CHAM5-HAM. B. Croft. 1. , J.R. . . Pierce. 1. , R.V. Martin. 1,2. , C. Hoose. 3. , and U. Lohmann. 4. 1. Dalhouse University, Canada. 2. Harvard-Smithsonian Centre for Astrophysics, USA. 3. Karlsruhe Institute of Technology, Germany. Presented by Lorraine A. Remer. NASA/Goddard Space Flight Center. Basis of remote sensing. Remote sensing of clouds and aerosols. Observations of aerosol modification of cloud microphysics. 3.1 Explanation. Jacob Anderson. Mentor: Gregory . Leptoukh. Research Objectives. Based on previous research determine the variables that most affect MODIS bias. Find which MODIS aerosol algorithm works better over coastal regions. Clio Gielen. Michel Van Roozendael, . Francois Hendrick. , Caroline Fayt, . Christian Hermans, Gaia Pinardi, Didier Gilllotay, and Tim Vlemmix. + . Hugo . De Backer, . Veerle. De Bock, and Quentin . Cameron McNaughton. Golder. Associates Ltd.. Section Outline. 5.4.1 Ocean. 5.4.2 Aerosols. . 5.4.2.1 Introduction. . 5.4.2.2 Data Requirements. . 5.4.2.3 Program Requirements. 5.4.3 Clouds. <currently empty>. Betsy Berry and Jay Mace. University of . Utah. American Geophysical Union 2011 . Fall Meeting. More CCN→. more small droplets→ . less collision→ delayed raindrop formation . Smaller sizes are lofted higher where they freeze→ latent heat release leads to increased buoyancy and a stronger updraft. Robert Wood, Atmospheric Sciences,. University of Washington. Motivation. Aerosols can potentially influence earth’s radiation budget both by direct interaction with sunlight (aerosol . direct . effect), and also by altering cloud radiative properties (aerosol . Jie Bao, . Ruiyuan. Li, . Xiuwen. Yi, Yu Zheng. Urban Computing Group. Microsoft Research, China. Motivation. Bridge the gap between . massive. . trajectory data. and . urban computing applications.