1. Improved Aquarius Salinity Retrievals using Auxiliary Products from the CONAE Microwave Radiometer (MWR) W. Linwood Jones Central Florida Remote Sensing Lab (CFRSL) Mónica Rabolli Comision Nacional De Actividades Espaciales (CONAE) 5 th Aquarius/SAC-D Science Meeting 21-23 October, 2009 Buenos Aires, Argentina

2. Research Objective To provide cal/val of the ocean salinity measurements provided by the Aquarius L-band radiometer/scatterometer –To develop L-band radiometric brightness temperature correction algorithms for ocean surface roughness, precipitation and sea ice concentration that are based upon MWR observations –To perform inter-satellite radiometric (brightness temperature) calibration between MWR and WindSat/TRMM Microwave Imager

3. CFRSL & CONAE Pre-Award Activities –MOU in progress Areas of Collaboration: –Microwave remote sensing training –MWR radiometric calibration –Geophysical algorithm development –Exchange of Personnel CONAE: 3 engineers (4 man-weeks) CFRSL Ph.D. student (5 weeks) –CFRSL Fulbright scholar MS thesis Inter-satellite radiometric calibration between MWR and WindSat Simulated MWR data derived from WindSat

4. Technical Status Aquarius roughness correction based on MWR MWR rain retrieval algorithm

5. AQ Salinity Measurement (T b ) Error Budget 37 GHz 24 GHz

6. AQ Scatterometer Provides Baseline Roughness Correction MWR can provide independent AQ roughness correction by retrieving surface wind speed and using L-band radiative transfer model Simon Yueh, JPL

7. Alternative MWR to AQ Ocean Roughness Correction RTM H-pol V-pol MWR can provide independent AQ roughness (Tb) correction by direct correlation

8. MWR Oceanic Rain Rate Retrieval Statistical Rain rate retrieval Based upon excess brightness temperature T rtm – radiation transfer model (NCEP input pars) Empirical Tex-RR relationship Tuned to WindSat rain rate retrievals

9. WindSat T meas RTM T B T ex T ex for WindSat SDR: 37GHz H-Pol kelvin

10. WindSat Rain Rate T ex for 37 GHz V-POL T ex for 37 GHz H-POL T ex for 23 GHz V-POL Excess-T B and SRR Relationship kelvin mm/hr kelvin

11. ΔT ex -IRR Relationship ΔT B, Kelvin Integrated Rain Rate, km*mm/hr 23.8 GHz V-Pol 37 GHz V-Pol 37 GHz H-Pol

12. Weighted Average IRR

13. Potential AQ Rain Rate Correction Issue Rain attenuation introduces negligible T b error However, for convective rain cells, associated ocean roughness effects may result Post-launch we will collect 3-way AQ, MWR and TRMM Precipitation Radar match-ups to assess effect

14. Synthetic Aperture Radar Backscatter Image of Tropical Rain Cells Scale: 25 km

15. Future Pre-launch Activities MWR radiometric calibration –Deliver to CONAE independent analysis of TV radiometric calibration –Deliver to CONAE post-launch radiometric calibration algorithms MWR L1/L2 simulation –Deliver forward radiation transfer model –Deliver V-0 wind speed retrieval ATBD –Deliver V-0 rain rate retrieval ATBD Develop preliminary AQ roughness correction algorithm