PPT-Development of convective-scale data assimilation technique

Juanzhen Sun NCAR Boulder Colorado Oct 25 2011 Outline Introduction Unique aspects of convectivescale DA Overview of techniques Success and Issues Future challenges. 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. Crystal K Williams. Department of Geography-Geology. Illinois State University. Outline. Introduction/Background. Mesoscale Convective Systems. Squall Lines. Precipitation. Conclusions. Introduction. Brian Guyer & Deirdre Kann, National Weather Service, Albuquerque, NM. Project Summary. OBJECTIVE: . Test the growing suite of convective initiation products to determine their potential to improve forecasts and detection of hazardous convective events during the North American monsoon season.. . E. CHAM5-HAM. B. Croft. 1. , J.R. . . Pierce. 1. , R.V. Martin. 1,2. , C. Hoose. 3. , and U. Lohmann. 4. 1. Dalhouse University, Canada. 2. Harvard-Smithsonian Centre for Astrophysics, USA. 3. Karlsruhe Institute of Technology, Germany. 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. Benjamin Ruston. Steve Swadley, Nancy Baker, . Rolf . Langland. NRL, . Monterey, . CA. Outline. Gather information about instrument: . What are previous sensors or instruments, how have they been used?. 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.. 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. Ref Vel. stratiform. Conv(all) rad_ref. Cloud analysis followed by 3dvar. Conv(uv spd) rw. Only 3dvar analysis. Applied DFI to Qv only, other mosit variable like Qs, Qc, Qr, Qg, Qi are remain unchanged and. . VIIRS Snow . and . Ice Product Provisional Maturity Review November 14, 2013. Mike . Ek. , . Jiarui. Dong . and EMC Land Team. NOAA/NCEP/EMC. •. Unified Noah LSM in all NCEP NWP and climate systems, plus in NLDAS/GLDAS.. Polly Smith, Alison . Fowler & Amos . Lawless. School of Mathematical and Physical . Sciences, . University of . Reading, UK.. Introduction (1). Typically, . initial conditions for coupled atmosphere-ocean model forecasts . 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. Kerry Emanuel. Massachusetts Institute of Technology. Several Possibly Inter-related Enigmas of the Tropical Atmosphere. Why does moist convection often cluster?. What determines the number of tropical cyclones on the planet?. Kengo. . Matsubayashi. Japan Meteorological Agency. The Met Office. Outline. Motivation. Observation and evaluation method. Evaluation result. Summary. In many convection schemes, water substances are empirically modelled..