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Temperature Validation in a Nutshell*

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... at flight level. Accuracy better than 1K for 8km above and below flight altitude. Scanning ... Some departures from MTP - e.g., near tropopause. Discussion ... – PowerPoint PPT presentation

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Title: Temperature Validation in a Nutshell*


1
Temperature Validation in a Nutshell
  • Rapporteur
  • Steven Pawson
  • NASA GSFC

Its all about the kernels
2
Summary Comments
  • Temperature validation seems to be in good shape,
    maybe because other retrievals depend on
    temperatures!
  • Range of talks, covering
  • Aura data validation
  • Ancillary temperature datasets
  • Features that need to be validated
  • Commend presenters for sticking to time and
    thematic relevance

3
TES Validation
  • TES-AIRS comparisons (A. Eldering)
  • TES temperatures are less than 1K colder than
    AIRS below 400mb.
  • TES is about 2K warmer than AIR above 400mb.
  • RMS of less than 2K at all levels
  • Similar mean differences with MLS
  • Future L1B calibration will make TES temperature
    profiles less bias relative to AIRS in the upper
    troposphere
  • TES versus sondes and aircraft data (B. Herman)
  • Temperature comparisons have been carried out
    between TES L2 retrievals, WB-57, DC-8, and
    sondes.
  • UT warm bias and LT cold bias in TES data are due
    to known calibration problems
  • TES SSTs (Bob Herman)
  • Promising avenue (compared against Hadley SST
    data)

4
TES-v-AIRS Summary
Mean profiles TES - AIRS
Bias in green TES-AIRS, rms differences in black
5
MLS Validation (M. Schwartz)
  • MLS temperatures retrieved from several channels
  • Core uses 118GHz (316-1hPa)
  • 118240190GHz should be best in upper
    troposphere and mesosphere, but this combined
    product displays oscillations and bias!
  • Comprehensive validation presented
  • Residuals in radiance fitting
  • Independent data types

6
MLS Summary
7
HIRDLS Comparisons with GEOS-4 Analyses
May 11
February 7
8
HIRDLS Validation
  • Validation against GEOS-4 analyses (J. Gille)
  • HIRDLS Temperatures agree with the geographical
    and vertical variations of GMAO temperatures from
    the tropopause to 50 km
  • Temperature precision is what was described at
    CDR
  • Profile comparisons show that HIRDLS results
    track high resolution features
  • Data are being improved future results will
    improve on these
  • Isolation of wave features (H. Lee)
  • Geophysical signals of waves isolated - advantage
    of the near 1km vertical resolution
  • Gravity waves apparently related to planetary
    wave-2 in SH
  • Indications of agreement with GPS data
  • Seasonal variations of wave activities

9
Waves (1) - HIRDLS
  • 1.4e-4 s-1
  • cgh Uh-70 m/s
  • cgz 0.5 m/s

?z 3-4 km
?h 500 km
10
Waves (2) - Ticosonde
  • Downward phase propagation of 4-5 day waves in
    temperature to tropopause level

Ticosonde-Aura/TCSP 2005 RS92 data
11
Ancillary Data(1) Sondes
  • Ticosonde temperatures (R. Selkirk)
  • Based in Costa Rica, in missions
  • Six-hourly launches about 240 in summers of 2004
    and 2005
  • About 20 of soundings indicate second coded
    tropopause lamination?
  • Wave signals and diurnal cycle impacts
  • Temperature soundings from ozone sondes (F.
    Schmidlin)
  • Wallops, Ascension, Natal
  • Addressed thermistor accuracy - impact on
    soundings
  • Good agreement with MLSbetween 300 and 8hPa

12
Ancillary Data(2) Sounders
  • MTP (M.J. Mahoney)
  • Flown in missions
  • Calibrated to sondes at flight level
  • Accuracy better than 1K for 8km above and below
    flight altitude
  • Scanning HIS (K. Vinson)
  • Flown in missions
  • Some departures from MTP - e.g., near tropopause

13
Discussion
  • Need for ready data availability in AVDC and
    tools to help collocate validation data against
    Aura profiles
  • Requirements for validation averaging kernels,
    representation error (points versus footprints)
  • Other data types (lidar)
  • Keep up the good work!
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