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Upper Tropospheric Humidity: A Comparison of Satellite, Upper Tropospheric Humidity: A Comparison of Satellite, Radiosonde, Lidar and Aircraft MeasurementsRadiosonde, Lidar and Aircraft Measurements
Satellite
Lidar
Aircraft
Radiosonde
CollaboratorsCollaborators
Rich Ferrare et al., NASA/LaRCRich Ferrare et al., NASA/LaRC
John Goldsmith, DOE/LANLJohn Goldsmith, DOE/LANL
Barry Lesht, DOE/ANLBarry Lesht, DOE/ANL
Larry Milosevich, NCARLarry Milosevich, NCAR
Frank Schmidlin, NASA/GSFCFrank Schmidlin, NASA/GSFC
Bill Smith et al., NASA/LaRCBill Smith et al., NASA/LaRC
Dave Tobin et al., Univ. of WisconsinDave Tobin et al., Univ. of Wisconsin
Dave Turner, DOE/PNNLDave Turner, DOE/PNNL
David Whiteman et al., NASA/GSFCDavid Whiteman et al., NASA/GSFC
ObjectiveObjective
To assess of the accuracy of current To assess of the accuracy of current
measurements of upper tropospheric water vapor.measurements of upper tropospheric water vapor.
Assuming: Assuming:
a) There is no perfect observation of upper tropospheric water vapor. a) There is no perfect observation of upper tropospheric water vapor.
b) We should assess the b) We should assess the consistencyconsistency of different measurements, rather of different measurements, rather than attempting to than attempting to validatevalidate against a specific benchmark. against a specific benchmark.
c) Satellites can provide a common reference for comparing disparate c) Satellites can provide a common reference for comparing disparate measurements to assess their measurements to assess their relativerelative consistency. consistency.
Change in Water Vapor at 2xCOChange in Water Vapor at 2xCO22: GFDL GCM: GFDL GCM
Increase in tropopause RHamplifies wv feedback by ~10%
Most change attributable to increase in saturation vapor pressure
Satellite Measurement of Upper Tropospheric HumiditySatellite Measurement of Upper Tropospheric Humidity
What do IR “water vapor” radiances measure?What do IR “water vapor” radiances measure?
•The 6.7 m radiances are sensitive to relative humidity averaged over a deep layer of the upper troposphere (~200-500 hPa).
* Use satellite 6.7 m Tb to
provide a common, stable benchmark for intercomparing other measurements.
Step 1: Insert lidar/sonde moisture profile (and coincident sonde temperature profile) into radiative transfer model.
* Compare observed and forward-simulated Tb.
How do you compare satellite measurements How do you compare satellite measurements with a water vapor profile?with a water vapor profile?
Step 2: Transform both observed and simulated Tb into
Upper Tropospheric relative Humidity (UTH)
ln (UTH p0/ cos) = a + b T
6.7 (1)
* Use UTH translation to interpret Tb comparison.
1 K error in Tb equals ~10% relative error in UTH.
"Profile-to-Radiance" Comparison Procedure"Profile-to-Radiance" Comparison Procedure
Global Comparison of Satellite and RadiosondesGlobal Comparison of Satellite and Radiosondes
(Soden and Lanzante 1996)
10(09184)
15(09393)
10(09486)
14(09548)
-12(10384)
Radiosonde – Satellite: Upper Tropospheric Humidity
Temporal Comparisons of Upper Tropospheric Water VaporTemporal Comparisons of Upper Tropospheric Water Vapor
Radiosonde – Satellite: Upper Tropospheric Humidity
Satellites provide a common reference for intercomparing different UTWV measurements and assessing their relative consistency
ARM Water Vapor Intensive Observation PeriodsARM Water Vapor Intensive Observation Periods
Lidar Humidity ProfilesLidar Humidity Profiles::
ARM /CART Raman Lidar ARM /CART Raman Lidar (CARL)(CARL)
GSFC Scanning Raman GSFC Scanning Raman Lidar (SRL)Lidar (SRL)
NASA/LaRC DIAL Lidar NASA/LaRC DIAL Lidar (LASE)(LASE)
Radiosonde Humidity ProfilesRadiosonde Humidity Profiles
Vaisala RS80Vaisala RS80
VIZ Carbon HygristorVIZ Carbon Hygristor
Frostpoint Chilled MirrorFrostpoint Chilled Mirror
RadiancesRadiances
NASA/LaRC Airborne NASA/LaRC Airborne Interferometer (NAST-I)Interferometer (NAST-I)
GOES 6.7 GOES 6.7 m Imager m Imager
The Atmospheric Radiation Measurement (ARM) Program has conducted a series of Water Vapor IOPs over their Central U.S. field site:
1996 WV IOP, 1997 WV IOP, 1999 Lidar IOP, 2000 WV IOP, 2000 AFWEX
Measurement Intercomparison: RadiosondeMeasurement Intercomparison: Radiosonde
Radiosondes are drier by ~20-30% relative to satellite.
clou
d
clou
d
Measurement Intercomparison: LidarsMeasurement Intercomparison: Lidars
Raman (CARL, SRL) and DIAL (LASE) lidar agree to within ~10%.
clou
d
clou
d
Measurement Intercomparison: NAST-IMeasurement Intercomparison: NAST-I
NAST-I intereferometer and GOES-8 radiances agree to within ~1 K.
Bias SummaryBias Summary
Uncorrected sondes are ~30% drier than GOES in the upper trop (~20% drier than lidar).
Temp-lag corrections can reduce this bias to ~10% wrt lidar.
Lidars, aircraft intereferometer, and satellite agree to ~10%.
Radiosondes Lidars & NAST
Vertical Structure of BiasesVertical Structure of Biases
Direct assimilation of satellite radiances offers potential to greatly improve the radiosonde humidity profiles in the upper troposphere.
SummarySummary
Satellite IR measurements can provide an effective tool for intercomparing upper tropospheric humidity from different instruments.
Vaisala RS80 radiosondes exhibit a systematic dry bias relative to both satellite and lidar measurements.
Existing ARM radiosonde corrections were ineffective in the upper troposphere, however some new corrections show promise (i.e., Miloshevich).
Direct assimilation of satellite radiances offers potential to improve the radiosonde humidity profiles in the upper troposphere when other corrections are not available (e.g., for historical records).