PPT-Influences of ice particle model on ice cloud optical thick

Zhibo zippo Zhang 03292010 ESSIC Outline Background Importance of ice cloud Ice particle model and ice cloud retrieval Influence of ice particle model on t retrieval Comparison of MODIS and POLDER ice . C. ollection 6 Ice . M. odel . A. ssessments with POLDER and CALIPSO. Ping Yang, . Souichiro. . Hioki. , . Jiachen. Ding . Department of Atmospheric . Sciences. Texas A&M University. In collaboration with . Limin Fan (. 樊利敏. ). Central. . China. . Normal. . University. (CCNU). 1. Outline. Introduction.. Model and calculation.. Results and discussion.. Summary and outlook.. 2. 3. Pre-equilibrium. clouds. Zhibo . Zhang (UMBC GEST). June 7. th. ,2010. Celebrating . GEST’s. . 10. th. Anniversary . Many thanks to:. Steven Platnick (NASA GSFC), Ping Yang (Texas A&M University), . Andrew K. Heidinger (NOAA. J4 Leptons and th. e standard model. Particle Physics. J4 Objectives. State the three family structure of quarks and leptons in the standard model. State the lepton number of the leptons in each family. Liquid water content (LWC): amount of water per unit volume of air. Droplet concentration: # droplets per unit volume of air. Droplet size distribution/spectrum: droplet concentration vs. size interval. User Ancestor-Cloud Child Family -A Visitor exam gene assign Cloud-1 Cloud-2 Cloud-N Child Family -B Grandson Family -C Child Figure 1. Cloud Trust model based on Family Gene Formation Definition of T Longwave. High. Clouds. Shortwave. High. Clouds. Shortwave. Low. Clouds. . . Δ. Optical Depth: -4 %. Δ Total Cloud Frac.: -0.50 %. . . Δ CTP: -8.30 hPa. . . Δ. Optical Depth: 2.0 % K. -1. Andy . Heidinger. . Michael . Pavolonis. NOAA / STAR. Patrick . Minnis. NASA Langley Research Center. Andi Walther. Scott . Lindstrom. University of Wisconsin-Madison CIMSS. (Cooperative Institute for Meteorological Satellite Studies). VIIRS Cloud Phase Validation . The VIIRS cloud phase algorithm was validated using a 24-hour period on November 10, 2012.. Validation was performed using collocated CALIPSO data for pixels detected as cloud from both the VIIRS and CALIPSO cloud masks.. Agent . of . weathering, erosion, and deposition . – acquire, transport and deposit sediment. Occupy ~10% of land area. “Interrupts” hydrologic cycle by “locking up” water. Glacier. GLACIERS. Albert Ryou. Brian Walsh. Mariner 10, 1974-5. Missions to Mercury. MESSENGER, 2008-present. BepiColombo. , 2018. Objective: What can we learn about the electrons around Mercury from kinetic particle modeling?. . Algorithm. Decision Support. 2010-2011. Andry Pinto. Hugo Alves. Inês Domingues. Luís Rocha. Susana Cruz. Summary. Introduction to Particle Swarm Optimization (PSO). Origins. Concept . PSO Algorithm. Optical flow , A tutorial of the paper: KH Wong Optical Flow v.5a (beta) 1 G. Farneback , “Two-frame Motion Estimation based on Polynomial Expansion”, 13th Scandinavian Conference, SCIA 2003 Halmstad SEATING Gibo|Kodama g k. CHAIRS g k CHAIRS ERGONOMIC & TECHNICAL SEATING ESD (888)903-0333 ESD Option g k. CHAIRS g k CHAIRS g k C H A I R S -Thefontis lower caseoptimafor theÒgÓ andÒkÓ-Thefontf