the aquarius salinity retrieval algorithm frank j. wentz and thomas meissner, remote sensing systems...
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The Aquarius Salinity Retrieval Algorithm
Frank J. Wentz and Thomas Meissner, Remote Sensing Systems Gary S. Lagerloef, Earth and Space Research
David M. Le Vine, NASA Goddard
Presented at 7th Aquarius/SAC-D Science MeetingBuenos Aires, ArgentinaApril 11, 2012
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Slopes steeper in warm water and V-pol is steeper than H-pol
Principle:Microwave Emission Decreases with Increasing Salinity
V-pol Curves
H-pol Curves
Meissner-Wentz Model at 40 deg. Incidence Angle
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Aquarius
Sun
SolarReflection
QuasiSpecular
SolarBackscatter
Galaxy & Cosmic
Moon
Ocean Surface
Challenge:Many Other Signals Must be Removed
Ionosphere
Atmosphere
Land
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Salinity Retrieval Algorithm
Radiometer Calibration AlgorithmRFI flagging
Aquarius Radiometer CountsEarth + Calibration View
Total Antenna Temperature
Remove Space Contributions: Galaxy, Sun, Moon, CS
Earth Antenna Temperature
Remove the Antenna Pattern Effect
Earth Brightness Temperature (TOI)
Correct for Faraday Rotation
Top of the Atmosphere Brightness Temperature (TOA)
Remove Atmospheric Contribution
Sea-Surface Brightness Temperature
Remove Surface Roughness Effects
Specular Brightness Temperature
Find Salinity for which emissivity of Meissner-Wentz dielectric model matches specular TB (v-pol only for now)
Salinity
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Required Ancillary Data
Remove Space Contribution 1.4 GHz Daily Solar Flux Measurements (Galaxy Table is Fixed)
Correct Faraday Rotation No ancillary data required; uses Aquarius 3rd Stokes Measurement
Remove Atmospheric Contribution NCEP Profiles of temperature, pressure, vapor, and cloud water
Remove Surface Roughness NCEP Surface Wind Speed and Direction Aquarius Scatterometer Radar Cross Section Measurements
Retrieve salinity from specular emissivity Reynolds OI SST
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0 50 100 150 200 250 300 350
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Julian Day
Orb
ital A
ngle
(Z
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V-pol, Inner Horn
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Reflected Galactic Radiation:A Big Signal that is Hard to Compute
Galaxy Emission at 1.4 GHz (up to 15 K) Specular Reflection of Galaxy off the Ocean (up to 6 K)
LeVine and Abraham, IEEE Trans. Geosci & Remote Sens., 42(1), 2004
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Green arrows from Galaxy to Ocean: Red arrows from Ocean to Aquarius
Facet integration must be done for every ocean pixel seen by Aquarius Antenna
Computation is a 4-fold integral that must be computed to an accuracy of 0.05 K.
Overall effect is a smoothing of the galaxy map as winds increase.
2 ,, z u c
B u c B
P z zT dz dz T s s i s
s
k P k k nk z n z
Modeling Galactic Radiation:A Tilted Facet Model
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Performance of Galaxy Model with Real Data
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Rough Oceans Emit More Radiation
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Combined NCEP and Scatterometer Roughness Correction
10 K
0 K
10 K
0 K
25 m/s0 m/sNCEP WIND SPEED
Scatt
erom
eter
Sig
ma-
0
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Land (Sidelobe) Correction
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September 2011 October 2011
November 2011 December 2011
Ascending minus Descending Salinity Differences O. Melnichenko, P. Hacker, et al.
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Scintillation Map of Ionosphere Two bands around Magnetic Equator: http://www.insidegnss.com/node/1579
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Ascending minus Descending Vpol - Hpol TB Differences Orbital Position Maps: Possible Cause: Third Stokes radiation leaking into Second Stokes
Inner Horn Middle Horn Outer Horn
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Ascending minus Descending Vpol-Hpol TB Differences Orbital Position Maps: Antenna Pattern Correction modified
Inner Horn Middle Horn Outer Horn
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Conclusions
Aquarius and the Salinity Retrieval Algorithm are working well.
Standard deviation of retrieval salinity versus HYCOM Salinity Model = 0.6 psu• Individual measurements (7-sec averages)• In the open ocean well away from land and excluding cold water (SST<5C)
Standard deviation for monthly averages = 0.4 psu.
Many issues/problems need to be resolved to achieve the mission goal of 0.2 psu.• Small radiometer pointing errors • Radiometer calibration time drifts• Ascending versus descending anomalies• Revised Antenna Pattern Correction• Optimum roughness correction• Better land contamination calculations; problem with islands • Influence of longer wave, galaxy, sun, faraday rotation, etc.• TBD