PPT-Non-Gaussian Based Data Assimilation

Lecture 2 Applications Steven J Fletcher Cooperative Institute for Research in the Atmosphere Colorado State University Overview of Lecture Do we linearize the Bayesian problem or do we find the Bayesian Problem for the linear increment. 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. Michele . Rienecker. Global Modeling and Assimilation Office. NASA/GSFC. WMO CAS Workshop. Sub-seasonal to Seasonal Prediction. Met Office, Exeter. 1 to 3 December 2010 . 2. What do we mean by “coupled data assimilation”?. Greg Cox. Richard Shiffrin. Continuous response measures. The problem. What do we do if we do not know the functional form?. Rasmussen & Williams, . Gaussian Processes for Machine Learning. http://www.gaussianprocesses.org/. 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?. Lecture 1: Theory. Steven J. Fletcher. Cooperative Institute for Research in the Atmosphere. Colorado State University. Overview of Lecture. Motivation. Evidence for non-Gaussian . Behaviour. Distributions and Descriptive Statistics . 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. Theories and Realities. Assimilation/Americanization = Social Mobility. 1. st. generation (immigrant generation) arrives without wealth, education, or fluency in English: works hard as an entrepreneur or in manual labor. 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 . in the . NOAA GDAS. Erin Jones. 1. , Kevin Garrett. 1. , Eric Maddy. 1. , Sid Boukabara. 2. 1. 1: . RTi. @ NOAA/NESDIS/STAR/JCSDA, 2: NOAA/NESDIS/STAR/JCSDA. Outline. Objectives. Passive microwave assimilation:. a flood forecasting system. . A tempered particle filter for combatting . degeneracy and sample impoverishment. .. Authors:. Concetta Di Mauro, Renaud Hostache, Patrick Matgen, Ramona Pelich, . Marco Chini, Peter Jan van Leeuwen, Nancy Nichols, and Günter Blöschl. Andrew Collard. IMSG@NOAA/NCEP/EMC. JPSS/GOES-R Risk Reduction Summit . Radiance Data Used in the . NCEP Global Model. JPSS/GOES-R Risk Reduction Summit . Microwave:. AMSU-A. : NOAA-15, 18, 19, . MetOp. 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.