SMOS Science Meeting 26-29 September 2011 Arles, FR Simulating Aquarius by Resampling SMOS Gary Lagerloef, Yann Kerr & Eric Anterrieu and Initial Results.

Slides:



Advertisements
Similar presentations
UPDATE ON BIAS TRENDS, DIRECT SUN CORRECTION, AND ROUGHNESS CORRECTION Joe Tenerelli May 10, 2011.
Advertisements

AN INITIAL LOOK AT THE IMPACT OF THE NEW ANTENNA LOSS MODEL Joe Tenerelli SMOS QUALITY WORKING GROUP #4 7-9 March 2011.
REVIEW OF OBSERVED BIAS TRENDS OVER THE OCEAN AND POTENTIAL IMPACT OF PROCESSOR EVOLUTION Joe & Nicolas IFREMER/CLS ESL Quality Working Group #5 May 30-31,
F. Wentz, T. Meissner, J. Scott and K. Hilburn Remote Sensing Systems 2014 Aquarius / SAC-D Science Team Meeting November ,
SMOS L2 Ocean Salinity L2OS RFI study 9 May 2011 ARGANS & L2OS ESL.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity Using TEC estimated from Stokes 3 24 October 2012 ACRI-st, LOCEAN & ARGANS SMOS+polarimetry.
Calibration and Validation Studies for Aquarius Salinity Retrieval Shannon Brown and Sidharth Misra Jet Propulsion Laboratory, California Institute of.
Aquarius Status Salinity Retrieval and Applications D. M. Le Vine NASA/GSFC, Greenbelt, MD E. P. Dinnat, G. Lagerloef, P. de Matthaeis, H. Kao, F.
The Aquarius Salinity Retrieval Algorithm Frank J. Wentz and Thomas Meissner, Remote Sensing Systems Gary S. Lagerloef, Earth and Space Research David.
The Aquarius/SAC-D Satellite Mission Gary Lagerloef Aquarius Principal Investigator South Atlantic Workshop Buenos Aires 7-10 May 2007 F. Raúl Colomb SAC-D.
Maintaining and Improving the AMSR-E and WindSat Ocean Products Frank J. Wentz Remote Sensing Systems, Santa Rosa CA AMSR TIM Agenda 4-5 September 2013.
Sea water dielectric constant, temperature and remote sensing of Sea Surface Salinity E. P. Dinnat 1,2, D. M. Le Vine 1, J. Boutin 3, X. Yin 3, 1 Cryospheric.
Scatterometer Algorithm Simon Yueh, Alex Fore, Adam Freedman, Julian Chaubell Aquarius Scatterometer Algorithm Team July 19, 2010 Seattle.
Roughness Correction Working Group Report July 21, 2010 Seattle 6 th Aquarius/SAC-D Science Team meeting.
Using Scatterometers and Radiometers to Estimate Ocean Wind Speeds and Latent Heat Flux Presented by: Brad Matichak April 30, 2008 Based on an article.
Aquarius/SAC-D Mission Validation Working Group Summary Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
Aquarius/SAC-D Mission Mission Simulators - Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
Aquarius/SAC-D Mission Error Validation and Early Orbit Corrections Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
Aquarius/SAC-D Mission Error Validation and Early Orbit Corrections Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
MWR Algorithms (Wentz): Provide and validate wind, rain and sea ice [TBD] retrieval algorithms for MWR data Between now and launch (April 2011) 1. In-orbit.
1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.
Initial Results on the Cross- Calibration of QuikSCAT and Oceansat-2 Scatterometers David G. Long Department of Electrical and Computer Engineering Brigham.
Aquarius Algorithm Meeting To Do Lists. From Frank Wentz:  Implement Ruf RFI flagging  Implement other QC flags  Further test review, and finalize.
MWR Roughness Correction Algorithm for the Aquarius SSS Retrieval W. Linwood Jones, Yazan Hejazin, Salem Al-Nimri Central Florida Remote Sensing Lab University.
Jet Propulsion Laboratory California Institute of Technology QuikScat Retrieving Ocean Surface Wind Speeds from the Nonspinning QuikSCAT Scatterometer.
EVALUATION OF SMAP LEVEL 2 SOIL MOISTURE ALGORITHMS USING SMOS DATA
John T. Gunn, AVDS Manager Earth & Space Research 1910 Fairview Ave. E., Suite 210 Seattle, WA Ph: ; 1 st Joint GOSUD/SAMOS.
Aquarius Algorithm Workshop March 2007 College of Engineering Department of Atmospheric, Oceanic & Space Sciences Chris Ruf Space Physics Research.
Evaluation of Microwave Scatterometers and Radiometers as Satellite Anemometers Frank J. Wentz, Thomas Meissner, and Deborah Smith Presented at: NOAA/NASA.
Calibration and Validation Studies for Aquarius Salinity Retrieval PI: Shannon Brown Co-Is: Shailen Desai and Anthony Scodary Jet Propulsion Laboratory,
8th IOCCG Meeting in Florence, Italy (24-26 Feb 03) Current Status of MODIS (Terra and Aqua) by Chuck Trees for the MODIS Team Members.
SCIENCE PROCESSING OVERVIEW David Le Vine Aquarius Deputy PI 07 July 2009.
Aquarius/SAC-D Salinity Satellite Mission and the Ocean Observing System Gary Lagerloef Aquarius Principal Investigator NOAA/CPO Climate Observation Division.
25 June 2009 Dawn Conway, AMSR-E TLSCF Lead Software Engineer AMSR-E Team Leader Science Computing Facility.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity PM # November 2010 ARGANS & L2OS LOCEAN, Paris.
SMOS L2 Ocean Salinity Level 2 Ocean Salinity L2OS planning 2 July 2014 ARGANS & SMOS L2OS ESL 1.
T. Meissner, F. Wentz, J. Scott, K. Hilburn Remote Sensing Systems ESA Ocean Salinity Science and Salinity Remote Sensing Workshop November.
Dependence of SMOS/MIRAS brightness temperatures on wind speed and foam model Xiaobin Yin, Jacqueline Boutin LOCEAN & ARGANS.
Level 2 Algorithm. Definition of Product Levels LevelDescription Level 1 1A Reconstructed unprocessed instrument data 1B Geolocated, calibrated sensor.
EXTENDING THE LAND SEA CONTAMINATION CHARACTERIZATION TO THE EXTENDED ALIAS- FREE FIELD OF VIEW Joe Tenerelli (CLS) and Nicolas Reul (IFREMER) SMOS Quality.
Optimization of L-band sea surface emissivity models deduced from SMOS data X. Yin (1), J. Boutin (1), N. Martin (1), P. Spurgeon (2) (1) LOCEAN, Paris,
An Intercalibrated Microwave Radiance Product for Use in Rainfall Estimation Level 1C Christian Kummerow, Wes Berg, G. Elsaesser Dept. of Atmospheric Science.
Space Reflecto, November 4 th -5 th 2013, Plouzané Characterization of scattered celestial signals in SMOS observations over the Ocean J. Gourrion 1, J.
Sea Surface Salinity from Space Simulation of Aquarius brightness temperature, Tb, at spacecraft during one orbit Top Panel –Ground track (red) –Outer.
USING SMOS POLARIMETRIC BRIGHTNESS TEMPERATURES TO CORRECT FOR ROUGH SURFACE EMISSION BEFORE SALINITY INVERSION.
Workshop Agenda: Day One 9:30 IntroductionLagerloef / Le Vine 9:45 Workshop objectivesG. Feldman 10:00 Overview of the Aquarius Data Processing System:G.
SMOS-BEC – Barcelona (Spain) LO calibration frequency impact Part II C. Gabarró, J. Martínez, V. González, A. Turiel & BEC team SMOS Barcelona Expert Centre.
The New Geophysical Model Function for QuikSCAT: Implementation and Validation Outline: GMF methodology GMF methodology New QSCAT wind speed and direction.
Cal/Val Discussion. Summary No large errors in rain, freshening observed by Aquarius can be significant and real (up to about 3 hours on average after.
QWG8, Boutin et al. SMOS and Aquarius: SSS and Wind Effect J. Boutin, X. Yin, N. Martin (LOCEAN, Paris), E. Dinnat (Chapman University/NASA/GSFC), S. Yueh.
Simulator Wish-List Gary Lagerloef Aquarius Principal Investigator Cal/Val/Algorithm Workshop March GSFC.
2014 Aquarius / SACD Science Team Meeting Agenda and Objectives Summarize the completion of NASA’s Aquarius 3-year prime salinity measurement mission (November.
SMOS QWG-9, ESRIN October 2012 L2OS: Product performance summary v550 highlights 1 The SMOS L2 OS Team.
Improved Aquarius Salinity Retrievals using Auxiliary Products from the CONAE Microwave Radiometer (MWR) W. Linwood Jones Central Florida Remote Sensing.
Mission Operations Review February 8-10, 2010 Cordoba, ARGENTINA SECTION 16.x Aquarius Science Commissioning and Acceptance Draft 2 Prepared by: Gary Lagerloef,
Faraday Rotation David Le Vine Aquarius Algorithm Workshop March 9-11, 2010.
Ocean Vector Wind Workshops and the Role of Cal/Val in Preparing for Future Satellite Wind Sensors Dudley Chelton Cooperative Institute for Oceanographic.
Aquarius Simulation Studies Gary Lagerloef Aquarius Principal Investigator Algorithm Workshop 9-11 March 2010.
The Inter-Calibration of AMSR-E with WindSat, F13 SSM/I, and F17 SSM/IS Frank J. Wentz Remote Sensing Systems 1 Presented to the AMSR-E Science Team June.
Geophysical Ocean Products from AMSR-E & WindSAT Chelle L. Gentemann, Frank Wentz, Thomas Meissner, Kyle Hilburn, Deborah Smith, and Marty Brewer
Combining Altimeter-derived Currents With Aquarius Salinity To Study The Marine Freshwater Budget Gary Lagerloef Aquarius Principal Investigator Yi Chao.
Orbital Analysis for Inter-Calibration Dave Mac Donnell Brooke Anderson Bruce Wielicki Don Garber NASA Langley Research Center Solar Workshop January 30,
South Pole North Pole South Pole DD, K CONAE Microwave Radiometer (MWR) Counts to Tb Algorithm and On orbit Validation Zoubair Ghazi 1, Andrea Santos-Garcia.
Impact of sea surface roughness on SMOS measurements A new empirical model S. Guimbard & SMOS-BEC Team SMOS Barcelona Expert Centre Pg. Marítim de la Barceloneta.
Errors on SMOS retrieved SSS and their dependency to a priori wind speed X. Yin 1, J. Boutin 1, J. Vergely 2, P. Spurgeon 3, and F. Gaillard 4 1. LOCEAN.
UPDATE ON GALACTIC NOISE CORRECTION Joe Tenerelli SMOS Quality Working Group #9 ESA ESRIN 24 October 2012.
Dependence of SMOS/MIRAS brightness temperatures on wind speed: sea surface effect and latitudinal biases Xiaobin Yin, Jacqueline Boutin LOCEAN.
ASCAT sensors onboard MetOps : application for sea ice
Roughness Correction for Aquarius (AQ) Sea Surface Salinity (SSS) Algorithm using MicroWave Radiometer (MWR) W. Linwood Jones, Yazan Hejazin Central FL.
Frank Wentz and Carl Mears Remote Sensing Systems, Santa Rosa CA, USA
Presentation transcript:

SMOS Science Meeting September 2011 Arles, FR Simulating Aquarius by Resampling SMOS Gary Lagerloef, Yann Kerr & Eric Anterrieu and Initial Results from Aquarius Data The Aquarius Team

2 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Part 1: Simulating Aquarius Global Coverage in 7 Days 4 Repeat Cycles per Month Global Coverage in 7 Days 4 Repeat Cycles per Month Sun-synchronous exact repeat orbit 6pm ascending node Altitude 657 km 3 beams 390 km wide swath. 76 x 94 km96 x 156 km 84 x 120 km Beams point toward the night side to avoid sun glint Salinity Data 150km, Monthly, 0.2 (pss) Mission Requirement Salinity Data 150km, Monthly, 0.2 (pss) Mission Requirement In Orbit Chec kout Launch

3 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Cross-track Distance (km) SMOS incidence angles Inter-calibration: To verify that the two sensors produce the same measurement under the same conditions.

4 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Cross-track Distance (km) Inter-calibrate with beams at Aquarius incidence angles 10 G.Lagerloef, Feb 2009

5 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation SMOS Test Data 28.7 Incidence December 2010

6 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Aquarius Data 28.7 Incidence August 2011

7 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation SMOS Test Data 38.7 & 45.6

8 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Inter-calibration Next Steps Wait for SMOS L1 reprocessing to correct biases Focus on SMOS Alias-Free FOV; exclude Extended Alias-Free Regenerate a similar SMOS ascending pass across Pacific Match with Aquarius passes +/- three days Before end of this year Other cooperative analyses (M.Martin-Neira) RFI: Compare antenna gain patterns RFI filter algorithm Near-shore land biases; particularly Chilean coast

9 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation “First Release” Image Credit: Aquarius Instrument Cal/Val Working Group and Algorithm Development Team

10 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation First 7-day image after re-calibration

11 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation First Orbit Tv; 20 Aug 2011

12 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Buoy Matchups Aug Early Calibration Biases; all negative

13 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation F.Wentz image, 30 Aug 2011 Aquarius Salinity Top Reference Salinity Bottom Four Changes for V1.1 Processing 1.Noise Diode Temperatures 2.APC 3.Wind-Induced Emissivity Model 4.Coefficient to Salinity Retrieval Algorithm

14 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Slightly Revised Wind Model New Tb wind model function based on 1-hour collocations with F17 wind speed for August 21- Sept 5, 2011 (F.Wentz) Black = V-pol Red = H-pol Solid line is new model. Dashed line is Yueh PALS model. Almost no Polarization difference for Beam 1 Near-linear for all 3 beams Beam 1, 28.7 o Beam 2, 37.8 o Beam 3, 45.6 o

15 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Post Re-calibration Buoy Match-ups Outliers in high latitudes, especially near Antarctic ice edge

16 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Calibration Drift vs Buoys Trend of delta salinity (radiometer – in situ) 08/25-09/19 (global)

17 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Next Iteration (V1.2) Introduce time-dependent bias correction Convert from NCEP wind to scatterometer for roughness correction Probably some other minor adjustments

18 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation

19 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation

20 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation

21 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Scatterometer Receiver RFI

22 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation

23 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation

24 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Arctic Tb, 1-7 September 2011

25 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation Meetings Nov: Aquarius Cal/Val Working Group, JPL 5-9 Dec: Fall AGU Special Session, San Francisco Feb 2012: Ocean Sciences, Salt Lake City Abstract Deadline 7 October March 2012: MicroRad, Rome Abstract Deadline 9 October April 2012: Aquarius/SAC-D Science Team Meeting, Buenos Aires

26 of September 2011 SMOS Science Meeting, Arles Aquarius Simulation