Roughness Correction for Aquarius (AQ) Sea Surface Salinity (SSS) Algorithm using MicroWave Radiometer (MWR) W. Linwood Jones, Yazan Hejazin Central FL.

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Presentation transcript:

Roughness Correction for Aquarius (AQ) Sea Surface Salinity (SSS) Algorithm using MicroWave Radiometer (MWR) W. Linwood Jones, Yazan Hejazin Central FL Remote Sensing Lab (CFRSL) Aquarius Science Team Meeting Seattle, WA, USA Nov. 13th, 2014

AQ Smooth Surface Tb Measurement Smooth ocean surface Tb is used to retrieve SSS There are 12 major sources of Tb, which must be corrected before retrieving SSS Of these, ocean surface roughness (wind speed) correction has the greatest residual error

Aquarius Ocean Roughness Correction Baseline SSS retrieval algorithm uses the AQ Scat to provide the roughness correction (ΔTb) ΔTb is correlated with measured radar backscatter The CONAE MWR provides an alternative approach for obtaining an AQ roughness correction MWR measured Tb at Ka-band is used to calculate excess ocean emissivity due to wind speed (and wind direction) Using ocean Radiative Transfer Model (RTM) it is possible to translate Ka-band excess emissivity to L-band ΔTb

MWR Roughness Correction: L-Band RTM The MWR roughness correction algorithm has made a significant advances over the past year Tuning of the L-band RTM for ocean emissivity using the AQ L-2 V3.0 ocean surface Tb and NCEP wind vector

Tuning L-band RTM for Wind Speed V-pol 280 < SST < 285 34 < SSS < 35 H-pol 280 < SST < 285 34 < SSS < 35

Tuning L-band RTM for Wind Direction V-pol 280 < SST < 285 34 < SSS < 35 H-pol 280 < SST < 285 34 < SSS < 35 @ ws = 12 m/s @ ws = 6 m/s Yueh, S.H.; Dinardo, S.J.; Fore, A.G.; Fuk K.Li, "Passive and Active L-Band Microwave Observations and Modeling of Ocean Surface Winds," Geoscience and Remote Sensing, IEEE Transactions on , vol.48, no.8, pp.3087,3100, Aug. 2010

MWR Roughness Correction: MWR Tb’s The MWR roughness correction algorithm has made a significant advances over the past year Improved MWR counts-to-Tb algorithm V6.0 Incorporates non-linearity correction Validated using WindSat Tb XCAL Revealed systematic radiometric calibration drift

V6.0 23H, DD biases (MWR-WS) July 2012 – Nov 2013 B1 B2 B3 B4 B5 B6 B7 B8

MWR Roughness Correction: MWR Tb’s The MWR roughness correction algorithm has made a significant advances over the past year Improved MWR counts-to-Tb algorithm V6.0 Incorporates non-linearity correction Validated using WindSat Tb XCAL Revealed systematic radiometric calibration drift Removed XCAL Tb biases using WindSat V7.0

V7.0 DD Adjusted to WindSat 23H July 2012- Nov 2013

Tuning Ka-band RTM using V7.0 Tuning coefficients of Ka-band ocean emissivity RTM for wind speed to minimizes the difference between model and observed Tb’s Averaged over all relative wind directions Added effect of wind direction Ocean anisotropy is function of: Relative wind direction (χ), Earth incidence angle Wind speed

Tuning Ka-band RTM for Isotropic Wind Speed V-pol H-pol

Tuning Ka-band RTM for Relative Wind Direction V-pol H-pol @ ws = 12 m/s @ ws = 6 m/s

Empirical MWR Roughness Correction Cross-correlation between L-band and Ka-band RTM establishes the AQ DTb roughness correction First wind direction effects are removed using NCEP wind directions and corresponding AQ/MWR antenna azimuth geometries AQ DTb calculated using measured MWR DTb and Empirical X-correlation relationship by AQ beam with corresponding MWR collocated beams

Empirical Roughness Correction Relationship (for Isotropic Wind) V-pol H-pol

AQ DTb Comparison with NCEP Wind Speed V-pol H-pol

Salinity Retrieval Comparison for Various Roughness Corrections (3 months global avg) Mean (AQ SSS – HYCOM) SDT (AQ SSS – HYCOM)

Summary A legacy data set of 30 mos of MWR data exist for roughness correction Preliminary roughness correction algorithm completed for AQ Beam-1 Release of MWR derived AQ roughness correction (3 beams) in Summer 2015 Validation of SSS will be performed using MWR derived roughness correction using AQ SSS comparisons with HYCOM Also inter-comparison with scatterometer derived roughness correction