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S4: An O2R/R2O infrastructure for optimizing satellite data utilization in noaa numerical modeling systems: A step toward bridging the gap between research and operations

  • Sid A. Boukabara
  • , Tong Zhu
  • , Hendrik L. Tolman
  • , Steve Lord
  • , Steven Goodman
  • , Robert Atlas
  • , Mitch Goldberg
  • , Thomas Auligne
  • , Bradley Pierce
  • , Lidia Cucurull
  • , Milija Zupanski
  • , Man Zhang
  • , Isaac Moradi
  • , Jason Otkin
  • , David Santek
  • , Brett Hoover
  • , Zhaoxia Pu
  • , Xiwu Zhan
  • , Christopher Hain
  • , Eugenia Kalnay
  • Daisuke Hotta, Scott Nolin, Eric Bayler, Avichal Mehra, Sean P.F. Casey, Daniel Lindsey, Louie Grasso, V. Krishna Kumar, Alfred Powell, Jianjun Xu, Thomas Greenwald, Joe Zajic, Jun Li, Jinliong Li, Bin Li, Jicheng Liu, Li Fang, Pei Wang, Tse Chun Chen
  • National Oceanic and Atmospheric Administration
  • Colorado State University
  • University of Maryland, College Park
  • University of Wisconsin-Madison
  • University of Utah
  • Japan Meteorological Agency
  • Riverside Technology, Inc.
  • George Mason University
  • Integrity Applications
  • I.M. Systems Group (IMSG) Inc.

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

An infrastructure has been established to engage the broader research community that is working on improving satellite data utilization in NOAA numerical modeling systems.

Original languageEnglish
Pages (from-to)2359-2378
Number of pages20
JournalBulletin of the American Meteorological Society
Volume97
Issue number12
DOIs
StatePublished - Dec 2016
Externally publishedYes

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