PPT-Objective Develop a new empirical box modeling framework that derives isoprene secondary

Author : angelina | Published Date : 2023-05-23

Approach Derive new empirical parameters to represent 1 the dynamic evolution of SOAs in smog chambers as a function of NO x dependent multigenerational chemistry

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Objective Develop a new empirical box mo..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Objective Develop a new empirical box modeling framework that derives isoprene secondary: Transcript

Approach Derive new empirical parameters to represent 1 the dynamic evolution of SOAs in smog chambers as a function of NO x dependent multigenerational chemistry and 2 losses of gases and particles to walls. over the Southeast US. Jingqiu . Mao (AOS/GFDL). , . Larry . Horowitz (GFDL), . Vaishali. . Naik. (GFDL), Fabien Paulot (Harvard), Paul . Ginoux. (GFDL), Meiyun Lin (GFDL), Arlene Fiore (Columbia U) and the SENEX science team. Jingqiu Mao (Princeton/GFDL). Yale University, 02/20/2014. Acknowledgement. Measurements: . William Brune (Penn State), Xinrong Ren (NOAA/UMD). Modeling: . Fabien Paulot (Harvard), Daniel Jacob(Harvard), Ron Cohen (UC Berkeley), Paul Wennberg(Caltech), Larry Horowitz(GFDL). Professional Development Module created by the IMSPC Project. Funded by the SASS initiative of NC Ready for Success. Agenda. 9:00-9:30. Introductions. & orientation to the project. 9:30-10:30. For the . Review of Burmese Python Workshops and Next Steps. Rebekah . Gibble (FWS) and Tylan . Dean . (ENP). Objective. Provide an overview of two recent python workshops: A structured decision making workshop focused on low-density management of pythons sponsored by USFWS and USGS (held June 2014) and a Science review workshop sponsored by ENP and USGS (held November 2013). . 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, . Jomon. Pottery. Coil Pots. Student Work. Homework. Homework . - . You are to create a collage depicting a sea creature. Look at examples of collages and study how tone and texture is created. Consider gradients of . Guha. . Data Science .  . Empirical . Modeling. Deep dives on some research topics. . Web scale structured data. . Teachable learning systems. The case for a `. Data Commons. ’. Outline. Models. Guha. . Data Science .  . Empirical . Modeling. Deep dives on some research topics. . Web scale structured data. . Teachable learning systems. The case for a `. Data Commons. ’. Outline. Models. Impact on . NO. x. SEAC. 4. Rs Science . Team. Paul . Wennberg, John . Crounse. , Alex . Teng. , . Tran Nguyen, Jason St. . Clair. Caltech, Pasadena CA. Top science questions. What is the impact of biogenic emissions on tropospheric ozone and organic aerosol? . 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:. Identification of Grand Challenges. Leadership and Industrial Representation. Chair: . Howard Katz, Johns Hopkins University. Speakers (Industry): . Greg Whiting, PARC (industrial . cochair. ); Darin Laird, . Aerosol . Formation. . during. . β-. pinene. Photo-. oxidation. . and. . Ozonolysis. . Karl . Ceulemans. – Steven . Compernolle. – Jean-François Müller . (. karl.ceulemans@aeronomie.be. They are insoluble in water and highly soluble in one or more of the following solvents: ether, chloroform, benzene and acetone. . Make up about 5% from organic substances which enter in the structure of living cell .. NS Modeling - Current state. NS analysis . and. . modeling. . requires. . the. . transformation. of . requirements. . into. data, . tasks. . and. . flows. DATA. TASK. FLOW. NS Modeling - Current state.

Download Document

Here is the link to download the presentation.
"Objective Develop a new empirical box modeling framework that derives isoprene secondary"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.