PPT-OMI Science Team 2014, Anders Lindfors / FMI

Author : natalia-silvester | Published Date : 2016-03-04

OMI cloud optical depth contributes to the observed positive bias in surface UV Anders V Lindfors T Mielonen MRA Pitkänen A Arola J Tamminen Finnish

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OMI Science Team 2014, Anders Lindfors / FMI: Transcript


OMI cloud optical depth contributes to the observed positive bias in surface UV Anders V Lindfors T Mielonen MRA Pitkänen A Arola J Tamminen Finnish Meteorological Institute. Min Huang. (. min.huang@jpl.nasa.gov. ), . K. W. Bowman (JPL), G. R. Carmichael (U Iowa), . M. Lee (JPL), D. K. . Henze. (CU-Boulder), T. Chai (NOAA/ARL) . A. J. . Weinheimer. (NCAR), R. C. Cohen (UC Berkeley). 2. Column Retrievals with Ground-based Monitors. Randall . Martin (Dalhousie, Harvard-Smithsonian). with . contributions from. Melanie Hammer, . Shailesh. . Kharol. , Jeff Geddes (Dalhousie U). TEMPO Science Team Meeting. by oversampling of OMI data: Implications for TEMPO. Lei Zhu and Daniel J. Jacob. HCHO observations from space constrain emissions. of highly reactive volatile organic compounds (HRVOCs). HRVOCs. HCHO. CPG. The Current State of Affairs. Consumers and Shoppers are:. Feeling pressed for TIME. Feeling squeezed on their FINANCES. Retailers and Suppliers:. Need to INNOVATE. Provide new and better SOLUTIONS. tropospheric . ozone integrating recent model developments. Lu Hu . (. luhu@seas.harvard.edu. ). With. . Daniel Jacob, . Xiong. . Liu, Patrick Kim, . Katie Travis, Lin . Zhang . Acknowledgement: Johan . 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, . 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. 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. 1. Introduction. In Appendix 1, you’ll find slides giving examples of how the Closing Prices for financial contracts can change during the contracts’ trading period.. In appendix 2, you’ll find a list of the terms and acronyms used in this presentation.. NO2 for air quality monitoring in Northern Europe: shipping and land-based case studies. Iolanda Ialongo (FMI). Hakkarainen. , J. . Jalkanen. , J.-P., Johansson, L., . Tamminen. , J. (FMI) . Boersma. 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. conduits to the shallower Upper Zone mineralization. Based on oxidized, weathered rocks t-mineral Miocene sediments in the eastern, up-dip edge of the deposit, a small portion of the system likely cro

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