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The SPARC intercomparison of middle-atmosphere climatologies

  • William Randel
  • , Petra Udelhofen
  • , Eric Fleming
  • , Marvin Geller
  • , Mel Gelman
  • , Kevin Hamilton
  • , David Karoly
  • , Dave Ortland
  • , Steve Pawson
  • , Richard Swinbank
  • , Fei Wu
  • , Mark Baldwin
  • , Marie Lise Chanin
  • , Philippe Keckhut
  • , Karin Labitzke
  • , Ellis Remsberg
  • , Adrian Simmons
  • , Dong Wu
  • National Center for Atmospheric Research
  • Stony Brook University
  • NASA Goddard Space Flight Center
  • Natl. Centers Environ. Prediction
  • Japan Agency for Marine-Earth Science and Technology
  • University of Oklahoma
  • NorthWest Research Associates, Inc.
  • Met Office
  • CNRS
  • Free University of Berlin
  • NASA Langley Research Center
  • Eur. Ctr. Medium-Range Weather Forec
  • Jet Propulsion Laboratory, California Institute of Technology

Research output: Contribution to journalArticlepeer-review

175 Scopus citations

Abstract

An updated assessment of uncertainties in "observed" climatological winds and temperatures in the middle atmosphere (over altitudes ∼10-80 km) is provided by detailed intercomparisons of contemporary and historic datasets. These datasets include global meteorological analyses and assimilations, climatologies derived from research satellite measurements, historical reference atmosphere circulation statistics, rocketsonde wind and temperature data, and lidar temperature measurements. The comparisons focus on a few basic circulation statistics (temperatures and zonal winds), with special attention given to tropical variability. Notable differences are found between analyses for temperatures near the tropical tropopause and polar lower stratosphere, temperatures near the global stratopause, and zonal winds throughout the Tropics. Comparisons of historical reference atmosphere and rocketsonde temperatures with more recent global analyses show the influence of decadal-scale cooling of the stratosphere and mesosphere. Detailed comparisons of the tropical semiannual oscillation (SAO) and quasi-biennial oscillation (QBO) show large differences in amplitude between analyses; recent data assimilation schemes show the best agreement with equatorial radiosonde, rocket, and satellite data.

Original languageEnglish
Pages (from-to)986-1003
Number of pages18
JournalJournal of Climate
Volume17
Issue number5
DOIs
StatePublished - Mar 1 2004

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