PPT-Development of convective-scale data assimilation technique

Author : trish-goza | Published Date : 2016-07-14

Juanzhen Sun NCAR Boulder Colorado Oct 25 2011 Outline Introduction Unique aspects of convectivescale DA Overview of techniques Success and Issues Future

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Development of convective-scale data assimilation technique: Transcript


Juanzhen Sun NCAR Boulder Colorado Oct 25 2011 Outline Introduction Unique aspects of convectivescale DA Overview of techniques Success and Issues Future challenges. Science Advisory Committee Meeting. 26 – 28 August, 2014. National Space Science and Technology Center, Huntsville, AL. Introduction. SPoRT assimilates AIRS, CrIS, and IASI profiles into regional models to demonstrate their impact on NWP and address specific forecast issues. 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. Ross Bannister and Stefano . Migliorini. (NCEO, Reading). Mark Dixon (ex . MetO. , JCMM, Reading). NCEO Annual Conference, September 2010, Leicester. Oct 29 2008 . 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.. Ross Bannister and Stefano . Migliorini. (NCEO, Reading). Mark Dixon (ex . MetO. , JCMM, Reading). NCEO Annual Conference, September 2010, Leicester. Oct 29 2008 . &. related issues. P. . Mukhopadhyay. Climate v. Numerical Weather Prediction. NWP: . Initial state is CRITICAL. Don’t really care about whole PDF, just probable phase space. conservation of mass/energy to match observed state. Robert A. Houze, Jr.. With contributions from:. S. Powell, M. . Zuluaga. , H. Barnes, A. Rowe. AGU Annual Meeting, San Francisco, 11 December 2013. The MJO scale. ~30-60 days. TOGA. COARE. West Pacific. for Polarimetric Radar Data. Takuya Kawabata. 1. ,. Hiroshi Yamauchi. 2. , . Nobuhiro. Nagumo. 1. , . Ahoro. Adachi. 1. 1: Meteorological Research Institute / JMA. 2: Japan Meteorological Agency. Large scale convergence . 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 . (The 10. th. . Adjoint. Workshop). Roanoke. , West Virginia. June . 1. -5, . 2015. The Use of Ensemble-Based Sensitivity with Observations to Improve Predictability of Severe Convective Events. Brian . 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 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.

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