PPT-Cloud screening and aerosol retrievals from MAX-DOAS measur

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 . Robert Wood. University of Washington. Radiative. “forcing” components. Cloud effects. Direct . Twomey. Mixed ph.. Semi-dir 2. nd. AIE. t. cld. .  . N. d. 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. The SOCRATES Planning . Team. : . Greg . McFarquhar. (. mcfarq@atmos.uiuc.edu. ),. Roj. . Marchand. , . Robert . Wood, Chris . Bretherton. , Alain . Protat. , Patricia Quinn, Steven . Siems. , Simon Alexander, and Bob Weller. Mumma. , Ph.D., P.E.. Prof. Emeritus, Architectural Engineering. PSU, . Univ. Park, PA. sam11@psu.edu. Web: . http://doas-radiant.psu.edu. Chilled Surfaces. :. Ceilings, Floors,. and Beams. ASHRAE Chapter,. 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. Breakout Report. 1. st. TEMPO Applications Workshop. Huntsville, AL. General Comments. First time a suite of ozone pre-cursors, ozone, PM2.5 will be measured on hourly time scale.  Lends itself to investigating photochemical processes leading to ozone and PM2.5 and see how this knowledge can be helped to improve model chemistry and thus predictions.. SPoRT. AOD Composite product for Data Assimilation . 1. Aaron . Naeger. ,. . 2. Bradley . Zavodsky. , and . 3,4. Pawan Gupta. . . 1. University . of Alabama in Huntsville, Huntsville, AL . 2. NASA . Andrew M. Sayer, N. Christina Hsu, Corey Bettenhausen, Myeong-Jae . Jeong, Jaehwa Lee. MODIS . Red. -. Green. -. Blue. composite. MODIS . Dark. Target . AOD. 0. 0.5. 1.0. 1.5. 2.0. MODIS . Deep. Blue AOD. UTLS. Introduction BrO conundrum. CU AMAX-DOAS (BrO, IO, NO. 2. , H. 2. O, O. 4. ) . . & data status . Robustness of NO. 2. and BrO VMR conversion. Comparison of VMRs from remote-sensing with in-situ and model data. AERosol. AND CLOUD . RETRIEVALS OVER SNOW. Kokhanovsky. VITROCISET Belgium SPRL, . Bratustrasse. 7, 64289 Darmstadt, Germany. a.kokhanovsky@vitrocisetbelgium.com. . CLOUD. AEROSOL. CONCLUSIONS. CLOUDS. years of global observations and comparison to ground-based and satellite data. DOAS workshop 2015, Brussels, July 2015. N. Theys. 1. ,. . I. De Smedt. 1. , . J. van . Gent. 1. , T. Danckaert. 1. , F. Hendrick. Axel Lauer, . Mattia . Righi, Veronika Eyring, and Johannes Hendricks. Deutsches . Zentrum für Luft- und Raumfahrt e.V. (DLR. ). , . Oberpfaffenhofen. , Germany. 27 May 2015. Scientific Questions. What . Pandora NO. 2. Total and tropospheric columns of NO2 from direct sun measurements -> column along a narrow cone (0.5. o. ), actual spatial coverage depends on solar azimuth and zenith angles for tropospheric and stratospheric column. GeoTASO. Status of trace gas retrievals: Caroline . Nowlan. , Scott . Janz. Status of aerosol retrievals: Jun Wang. Relevance to satellite product validation: Laura Judd. Other activities and summary: Jay Al-Saadi.