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19-21 July 2010 Seattle, Washington, USA

6th Aquarius/SAC-D Science Meeting. MWR L2 Retrieval Algorithms Sergio Masuelli Carolina Tauro Linwood Jones. 19-21 July 2010 Seattle, Washington, USA. sergio.masuelli@conae.gov.ar. Index. Introduction L1 to L2 project plan Surface retrievals Atmospheric Retrievals

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19-21 July 2010 Seattle, Washington, USA

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  1. 6th Aquarius/SAC-D Science Meeting MWR L2 Retrieval Algorithms Sergio Masuelli Carolina Tauro Linwood Jones 19-21 July 2010 Seattle, Washington, USA sergio.masuelli@conae.gov.ar

  2. Index • Introduction • L1 to L2 project plan • Surface retrievals • Atmospheric Retrievals • Sea Ice Concentration • L2 Simulator

  3. Introduction Objective: To obtain the Geophysical Variables WS: Wind Speed Surface: WD: Wind Direction IC: Ice Concentration WV: Water Vapor Atmosphere: CLW: Cloud Liquid Water RW: Rain Water

  4. MWR Introduction MWR Scheme Horns Antennas

  5. Introduction MWR Acquisition Geometry

  6. L1B1 L2 40 km 40 km Introduction MWR beam overlapping along track 13 km

  7. Microwave Antenna Up-welling Brightness Atmospheric Emission Atmospheric Absorption Reflected Atmospheric Brightness Down-welling Brightness Surface Emission Schematic Microwave Radiative Transfer Model [Thompson, 2004]. Introduction Radiative Transfer Model

  8. TBj= F j(P)+ Dej Forward problem P= G(TB) Inverse problem Pi= Gi(TB*i) where TB*i=TB(P01,…,Pi ,…,P0N) Introduction The Retrieval Problem Geophysical Variables P: WS, WD, IC, WV, LWC, RW We have 6 Ps but only 4 TBs

  9. Simulators Depuration of Algorithms Application Prototype Calibration Prototype L1 to L2 project plan General Scheme of the Development Plan ATBD

  10. L1 to L2 project plan Schedule of Activities

  11. L1 to L2 project plan Schedule of Activities (cont.)

  12. The RTM

  13. Surface retrievals A(WS,SST,f) TBH TBV F0(SST) (ATBV − TBH ) - F(SST) = C0(WS)+C1(WS)COS(χ)+C2(WS)COS(2χ) F(SST) = (ATBV − TBH) − [C0(WS)+C1(WS)COS(χ)+ C2(WS)COS(2χ)] Does C’S converge? No Yes END Wind Retrieval. AVH Algorithm (ATBV − TBH ) - F(SST) - C0(WS) =C1(WS)COS(χ)+C2(WS)COS(2χ) Insensitive on atmospheric changes

  14. Surface retrievals Wind Speed CFRSL Preliminary Results (AVH) EDR Wind Speed, m/s AVH Wind Speed, m/s

  15. Surface retrievals Wind Direction CFRSL Preliminary Results (AVH) AVH Wind Direction, degree EDR Wind Direction, degree

  16. Surface retrievals Basic Scheme for Wind Retrieval

  17. Atmospheric retrievals The Cloud Problem

  18. Atmospheric retrievals Precipitation and LWC signal (CFRSL)

  19. Non PrecipitativeCloud Rainy Cell Atmospheric retrievals Rain and Cloud Analysis

  20. Atmospheric retrievals Basic Scheme for Retrieve Atmospheric Variables

  21. Sea Ice Concentration Sea Ice Algorithms Bootstrap Algorithm Nasa Team Algorithm

  22. WindSat: 19V & 37V GHz Latitude, (deg.) WindSat MWR 24V & 37V GHz Latitude, (deg.) MWR Simulated Longitude, (deg.) Sea Ice Concentration First Year Ice Concentration using NT algorithm (CFRSL)

  23. Sea Ice Concentration CONAE Sea Ice Algorithm

  24. Sea Ice Concentration Obtaining Parameters from a Scatter Plot

  25. L2 Simulator GDAS Data Base L1B1 Data Base External Data Preparation Internal Data Preparation L2 Processor RTM IC/WS/WD WV/LWC/RW No It converges? Yes END

  26. Fin

  27. Diagrama de flujo de las aplicaciones MWR Desarrollo del proyecto

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