PPT-Combining Data Assimilation with an Algorithm to Improve th

Author : briana-ranney | Published Date : 2016-09-05

Toward a Multidecadal Multisensor Global Record NASA ROSES 2013 NNH13ZDA001NSNPP 213 Other New NASA Data Products from Suomi NPP Measurements Watson W Gregg Principal

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Combining Data Assimilation with an Algo..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Combining Data Assimilation with an Algorithm to Improve th: Transcript

Toward a Multidecadal Multisensor Global Record NASA ROSES 2013 NNH13ZDA001NSNPP 213 Other New NASA Data Products from Suomi NPP Measurements Watson W Gregg Principal Investigator NASA Global Modeling and Assimilation Office. 1. Min-Jeong Kim. JCSDA 9th Workshop on Satellite Data Assimilation, May 24-25, 2011, M-J. Kim. 2. Fuzhong Weng, . 3. Emily Liu, . 4. Will McCarty, . 3. Yanqiu Zhu, . 3. John Derber, and . 3. Andrew Collard. 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. 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.. 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. 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 . 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. . 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.. 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. Mihail. Codrescu. 1. , Stefan Codrescu. 1,2. , . Mariangel. Fedrizzi. 1,2. , and Claudia Borries. 3. 1. Space Weather Prediction Center, Boulder, United States of America (. mihail.codrescu@noaa.gov. 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.

Download Document

Here is the link to download the presentation.
"Combining Data Assimilation with an Algorithm to Improve th"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.