PPT-Constraining the aerosol indirect effect

Jón Egill Kristjánsson Univ Oslo Many thanks to Alf Kirkevåg metno Corinna Hoose Univ Oslo Leo Donner GFDL Problem Definition Most GCMs give an aerosol indirect effect which is too high compared to results from residual calculations . 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). Istvan. Laszlo. NOAA. VIIRS Aerosol Science and Operational Users Workshop . November 21-22, 2013.  . National Center for Weather and Climate Prediction (NCWCP). College Park, MD. Name. Organization. Implementation, Certification, and Testing (ICT) Workgroup. March 13, 2015. Sarah Corley, MD. David Kates. John Travis. Recommendations for Constraining CCDA. General Considerations. 2. Category.  . 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. An Introduction to Aerosol Propellants 3 Aerosol Product System 4 Aerosol Product System 5 Aerosol Product System 6&#x/MCI; 8 ;&#x/MCI; 8 ;Aerosol Product System 7 Aerosol Product System 8 A 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>. Yi Ming. Geophysical . Fluid Dynamics Laboratory. Princeton, New Jersey. . Most anthropogenic aerosols are in the NH mid-latitudes and tropics. MODIS annual-mean aerosol optical depth (AOD). Will the response be confined locally?. Aerosol-Cloud-Climate Interactions. . Spring Quarter 2015. Logistics. Class . webpage. . Class meets 1:30-2:50 Mondays and Wednesdays in Room 406, ATG Building. Instructor: . Urgent Research Needs. James . Hansen*. 17 October 2018. AGU-CAS Meeting on Atmospheric PM. 2.5. *. Director, Climate Science, Awareness & Solutions, Columbia University Earth Institute. Aerosol Effects (Outline). GOES-R Algorithm Working Group Aerosol, Atmospheric Chemistry and Air Quality (AAA) Application Team. 1. Presentations. Suspended Matter/Aerosol Optical Depth Algorithm – . Istvan. Laszlo, STAR. Aerosol Detection Algorithm – . 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 . Tianle Yuan. . UMBC - GESTAR II. NASA Goddard Space Flight Center. Tianle Yuan @ MODIS/VIIRS STM 2023. 5/1/23. Tianle Yuan @ MODIS/VIIRS STM 2023. 2. Acknowledgement:. Co-authors: . . Hua Song.