PPT-Diagnostics of data assimilation and

models for environmental and climate prediction Pierre Gauthier Presentation at the Workshop on Probabilistic Approaches to Data Assimilation for Earth Systems February 1722 2013. 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. Logging and Monitoring in the Cloud. Matthew Kerner. Program Manager, Windows Azure. PDC09-SVC15. Diagnostics: Single Server vs. the Cloud. Single Server. Static Environment. Single well-known instance. Name . Title. Microsoft Corporation. Agenda. Windows Azure Diagnostics for . Application . Monitoring. Windows Azure PowerShell Cmdlets . for . Diagnostics . Configuring and Analyzing Diagnostic Data . 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.. Types of Assimilation. Cultural Assimilation- When two cultures influence one another. May have different customs and/or traditions.. Examples? Past and Present . Religious Assimilation- When converting two religions customs and/ or traditions to create one uniform faith. Or adopting customs from one religion to another. Gregory Carmichael(1), . Pablo . E. . Saide. (NCAR), . Meng. . Gao. (1), Maryam . Abdioskouei. (1), . Arlindo da Silva (NASA GSFC), R. Brad Pierce (NOAA NESDIS-STAR), David G. Streets (ANL), . Jhoon. Ross Bannister and Stefano . Migliorini. (NCEO, Reading). Mark Dixon (ex . MetO. , JCMM, Reading). NCEO Annual Conference, September 2010, Leicester. Oct 29 2008 . 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. 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. the 2018 Hurricane Season. Maria . Aristizabal. Scott Glenn. Travis Miles . Benjamin . LaCour. Pat Hogan . MTS Oceans Meeting . 2019. Roy Watlington. Doug Wilson (OCOVI). Improve the intensity forecast of the operational hurricane models.