PPT-Using OMI NO

2 and CAMx simulations to estimate emissions from point and area sources Benjamin de Foy Saint Louis University NASA Air Quality Applied Sciences Team 6 th Meeting 1517 January 2014 Rice University. OMI cloud optical depth contributes to the observed positive bias in surface UV. Anders V. . Lindfors, . T. . . Mielonen. , M.R.A. . Pitkänen. , . A. . . Arola. , J. . Tamminen. Finnish Meteorological Institute. Bilt. , the Netherlands March 12, 2014. Results from the OMPS Nadir Instruments on . Suomi. NPP Satellite. Richard . McPeters. NASA GSFC. OMPS Sensor Views. NM. OMPS Sensor Views. NP. OMPS Sensor Views. Eloïse. Marais . (. emarais@fas.harvard.edu. ). D. Jacob, T. . Kurosu. , K. Chance, J. Murphy, C. Reeves, G. Mills, S. . Casadio. , D. Millet, M. Barkley, F. . Paulot. , J. Mao. AMS Conference, Boston. IN AROSA.  . J.P. . . Pommereau. (1). , . F. . Goutail. (1). , . R. . Stübi. (2). , G. . Braathen. (3). (1) LATMOS, (2) . MeteoSwiss. , (3) WMO-GAW. NDACC France 18 Nov 2016. Objective. : Evaluation of Mini-SAOZ Total Ozone Column (TOC) accuracy by comparison with well known ground-based and satellite measurements. Eloïse. Marais . (emarais@fas.harvard.edu). 1. , . Daniel Jacob. 1. , Jennifer Murphy. 2. , Dylan Millet. 3. , Thomas Kurosu. 4. , Kelly Chance. 4. 1. Earth and Planetary Sciences, . Harvard . University, . 2. Retrieval Algorithm – Potential Application to TEMPO. Can Li . NASA GSFC Code 614 & ESSIC, UMD. Email: . can.li@nasa.gov. Joanna Joiner, Nick . Krotkov. , Yan Zhang, Simon . Carn. , Chris . ACKNOWLEDGEMENTS: . . This work was funded by the . NASA ACMAP program and the South African National Research Foundation. OMI slant column (SC) HCHO. (original data for 2005-2009 at 1. Institute of Remote Sensing. University of Bremen. Improving OMI NO. 2. retrievals. Andreas Richter. , A. . H. ilboll, and . J. P. . Burrows. OMI Science Team Meeting. De . Bilt. , March 12, 2014. TRYING TO IMPROVE. Michel Grutter. , Josue Arellano, Alejandro Bezanilla, Martina Friedrich, Arne Kruger, Claudia Rivera and . Wolfgang Stremme. Centro de Ciencias de la Atmósfera – UNAM. Universidad Nacional Autónoma de México. Ozone Enhancement Due to Lightning . -- Observations and Models. Lihua. Wang. 1. st. TEMPO Applications Workshop. Huntsville, AL. July 12-13, 2016. Introduction. Lightning is a particularly . signifant. Joanna Joiner, Alexander . Vasilkov. , . Nick . Krotkov. , Sergey . Marchenko. , . Eun. -Su Yang, Sunny Choi (NASA GSFC). TEMPO Clouds: cloud optical centroid pressure and effective cloud fraction. Default baseline algorithm: OMI rotational-Raman algorithm . . NO. 2. , HCHO, and Beyond. Monica Harkey. Tracey Holloway. Alex Cohan. Rob . Kaleel. Air Quality from S. pace. Witman. , Holloway, and Reddy (2014). Past . CAMx. Evaluation vs. . Ground-Based Observations. 2. observations and the role of the upper troposphere. Rachel Silvern. Atmospheric Chemistry Modeling Group, Harvard University. TEMPO Science Team Meeting. June 7, 2018. Previous work showed 60% reduction of . constraints from atmospheric observations. Daniel J. Jacob. with Emily Fischer, Fabien . Paulot. , Lei Zhu, . Eloïse. Marais, Chris Miller. and funding from NASA, HUCE . Volatile organic compounds (VOCs) in the atmosphere:.