PPT-Data Assimilation and Modelling the Carbon Cycle

Philip Aston Anna Chuter Sylvain Delahaies Anne Skeldon Nancy Nichols Reading Ian Roulstone University of Surrey and NCEO Outline The D ata A ssimilation. TERRESTRIAL . CARBON: MODELLING and MONITORING. P. Lewis. Professor of Remote Sensing. UCL Geography . & NERC NCEO. Aims of course. The Terrestrial Carbon: . modelling. and monitoring module aims:. P. Lewis. What is Data Assimilation?. Optimal merging of models and data. Models. Expression of current understanding about process. E.g. terrestrial C model. Data. Observations. E.g. EO. . Some basic stats. the Upper Troposphere - Lower Stratosphere. K. . Wargan, . S. . Pawson. , . M. . Olsen, . J. . Witte, . A. . Douglass. Global Modeling and Assimilation Office (GMAO). Chemistry and Dynamics Branch. NASA GSFC. Yudong. Gao. 1 observational data analysis. Pictures are from P. W. Chan et al. (2014). Left figure is the reconnaissance data from 9:06 to 9:59 UTC, which is thinning at 3km. . data from 12:00 to 12:12 UTC. The direction of wind was changing as the flight direction.. . N. CYCLE. CO. 2. THE CARBON CYCLE. CO. 2. CARBON DIOXIDE. Label the . processes. . of the carbon cycle.. CONSUMER. DETRITUS. FOSSIL FUELS. 1). petroleum/oil. peat. natural gas. coal. 2. ). 3. ). 4. What Is Carbon?. An element: 6 protons, 6 neutrons. The basis of life of earth . Found in all earth systems. Carbon Cycle. The same carbon atoms are used repeatedly on earth. They cycle between the atmosphere, hydrosphere, geosphere and biosphere.. Kevin Garrett. 1,2,3. , Sid Boukabara. 1,2. , . and Erin Jones. 1,2,3. 1. NOAA/NESDIS/STAR. 2. Joint Center for Satellite Data Assimilation. 3.. Riverside Technology, Inc.. Preparation for GPM GMI . Greenhouse Gases and the Atmosphere. Certain gases in the atmosphere are good at absorbing and trapping heat. We refer to these at greenhouse gases (GHG). . These gases, make up a small segment of our atmosphere (1%) but have a big impact. . June 5-7, 2013, NCWCP, College Park, MD. Utility of . GOES. -R . ABI . and GLM instruments in . regional . data assimilation . for . high-. impact weather. Milija Zupanski. Cooperative . Institute for Research in the Atmosphere. In introduction to Carbon. What is carbon and why is it important?. Carbon. Carbon is the . 6. th. element . on the periodic table of elements. Why is carbon important?. Carbon is . 4. th. most abundant element in the . in the NCEP Global Forecast System. 1. Ting-Chi Wu. 1. , Lewis Grasso. 1. , . Milija. Zupanski. 1. , Heather Cronk. 1. , . James Fluke. 1. , Richard Schulte. 2. , Wesley Berg. 2. , Anton Kliewer. 1. Jeremy Berman. University at Albany. Thursday 03 May 2018. ATM 419/563. Outline. Data Assimilation (DA). At the end, you should know:. What is it?. How it works?. Why is it important?. Basic DA techniques. th. May, 2023. 1. From . Education in Chemistry. rsc.li/2P939Rc. . 2. Starter questions. What different forms of carbon have you heard of before? . Define the words ‘respiration’ and ‘photosynthesis’.. Part one: . Brief summary of the four pathways for assimilation of C1 compounds. The elucidation of the Serine Cycle up to 1973. Part two: . The solution of the complete Serine / . Ethylmalonyl. -CoA cycle.