12052000_pcm. windsat mission overview and status peter gaiser remote sensing division, code 7220...
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WindSat Mission Overview and StatusWindSat Mission Overview and Status
Peter Gaiser
Remote Sensing Division, Code 7220
Naval Research Laboratory
Washington DC
05 June 2006
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WindSat - Mission OverviewWindSat - Mission Overview
Overview:
•Demonstrate Ocean Surface Wind Speed and Direction Measurement Capability with Polarimetric Microwave Radiometry
– Wind Vector Is a High Priority EDR for the Navy
– Risk Reduction for NPOESS CMIS
• Jointly Sponsored by US Navy and the NPOESS Integrated Program Office
• Launched 06 Jan 2003 on STP’s Coriolis Satellite Bus Into a Sun-Synchronous Orbit
•Current Plan Calls for Continued Operation Throughout Useful Life of Coriolis/WindSat
•WindSat Brightness Temperature and Environmental Data Now Available to Science and User Community
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WindSat Payload ConfigurationWindSat Payload Configuration
Freq, GHz Channels BW, MHz EIA, deg IFOV, km
6.8 v, h 125 53.5 40x60
10.7 v, h, ±45, lc, rc 300 49.9 25x38
18.7 v, h, ±45, lc, rc 750 55.3 16x27
23.8 v, h 500 53.0 12x20
37.0 v, h, ±45, lc, rc 2000 53.0 8x13
Height 10.5 ft
Width 8.25 ft
Mass 661 lbs.
Power 311 Watts
Spin Rate 31.6 rpm
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WindSat Flight BuildWindSat Flight Build
Coriolis Satellite at Launch SiteWindSat in TVAC Chamber
WindSat Feed Horn Array
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WindSat Mission and DataWindSat Mission and Data
• WindSat/Coriolis Flies in Sun Synchronous Orbit at an 840-km Altitude
– 1800 LTAN
– 1000-km Swath Width
• Multiple Data Products Produced
– SDRs:
- Calibrated, Geolocated Brightness Temperatures
– EDRs:
- Ocean Surface Wind Vector, SST, Total Precipitable Water, Cloud Liquid Water, Ocean Rain Rate
• Using Multiple Products Adds Insight and Value
NOAA/NESDIS/ORA
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Near Real Time Surface Wind VectorNear Real Time Surface Wind Vector
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WindSat Demonstrated Wind Vector Retrieval via Polarimetric Microwave Radiometry
WindSat Demonstrated Wind Vector Retrieval via Polarimetric Microwave Radiometry
EDR RMS IORD
Wind Speed (< 10m/s) 1.0 m/s 2.0 m/s
Wind Speed (< 20 m/s) 1.5 m/s 2.0 m/s
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WindSat SSTWindSat SST
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WindSat Total Precipitable WaterWindSat Total Precipitable Water
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WindSat Cloud Liquid WaterWindSat Cloud Liquid Water
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WindSat Operational Data ProductsWindSat Operational Data Products
Katrina at LandfallImagery Wind Field
Operational Data Products Generated at FNMOC/NRL-MRY in Near Real Time
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Near Real Time Data AvailabilityNear Real Time Data Availability
• WindSat Data is Processed in NRT at Fleet Numerical Meteorological and Oceanographic Center (FNMOC)
– Data is pushed to NESDIS (EDRs and SDRs) and NAVO (EDRs)
– Data also goes to NRL-MRY for Tropical Cyclone Web Page and Data Assimilation Projects
• WindSat NRT Data is Available via the Shared Processing Network
– Contact Peter Gaiser at NRL or Jeff Tesmer of FNMOC
• NESDIS ORA (soon to be STAR) Is Also Processing Data in NRT
– Sharing with Tropical Prediction Center and Ocean Prediction Center for Testing and Evaluation
• Documentation is Available
– Data Descriptions, User Guide, Release Notes, File Formats, Reader Programs
WindSat Team Is Happy to Support [email protected]
http://www.nrl.navy.mil/WindSat
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WindSat Data ArchiveWindSat Data Archive
• Data Release
– Wind vector, SST, columnar water vapor and cloud liquid water, ocean rain rate
- Access is password restricted; simple to request access
– Data products accessible via the NASA/JPL Physical Ocean Data Active Archive Center (PO.DAAC)
– NRL ver. 1.9.1 Data Products covering Feb 2003 through November 2005
- NRL Optimal Estimation EDRs (ver. 1.9.1)
- WindSat SDRs (Brightness Temperatures) (ver. 1.9.1)
- GDAS, QuikSCAT match-up files being uploaded
http://podaac.jpl.nasa.gov/windsat
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Ongoing WorkOngoing Work
• Wind Vector Retrievals Continue to Improve
– Wind Direction for Wind Speeds < 7 m/s
– Ambiguity Selection Techniques to Improve Wind Direction Retrievals
– Retrievals in Presence of Rain and Heavy Clouds
• Developing Retrievals at Higher Spatial Resolutions
• SST Retrievals
• Sea Ice, Snow and Land Products
– Validating Basic Products
– Examining Added Information of Polarimetric Channels
– Daily Ice Concentration Maps Being Delivered to National Ice Center for Evaluation
• Working with Data Assimilation Groups and Operational Users to Fully Exploit WindSat Capabilities
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WindSat Status and OutlookWindSat Status and Outlook
• WindSat Successfully Launched on Coriolis on 06 January 2003
– Will Continue to Operate Through Useful Life
• Retrieval Performance Continues to
Improve
• NRT Data Products Available to
Operational Users
• WindSat Team Eager to Work with
Users
http://www.nrl.navy.mil/WindSat
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BackupBackup
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WindSat Retrieval PerformanceWindSat Retrieval Performance
Difference is Combination of WindSat and QuikSCAT Errors
EDR Bias Std.Dev.
SST (K) 0.04 0.81
W Selected (m/s) 0.07 0.79
Water Vapor (mm) 0.01 0.91
Cloud Water (mm) 0.004 0.03
• Six month data set
•Wind speed and direction relative to QuikSCAT
• SST relative to Reynolds OI
•Water vapor and cloud relative to SSM/I
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MHB-20060222
Wind Direction vs. QuikSCATWind Direction vs. QuikSCAT
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Utilization of WindSat DataUtilization of WindSat Data
•WindSat Data Processed in Near Real Time at FNMOC and Data Products put on Shared Processing Network
– NOAA Will Begin Ingesting WindSat Data from SPN in Early 2006
– Many Organizations are Preparing to Acquire WindSat Data via this Path
- NCEP, Joint Center for Satellite Data Assimilation (JCSDA), Tropical Prediction Center, UK MetOffice, ECMWF, Australian Met Service
•WindSat Products Used Extensively for Tropical Cyclone Monitoring
– NRL-MRY, FNMOC, JTWC, NHC
• NAVO Is Pulling In WindSat SST Data
• NRL 6.2 Program Underway to Assimilate WindSat Data into NOGAPS
– NRL-DC working with NRL-MRY Team (Jim Goerss, Nancy Baker)
• Joint Center for Satellite Data Assimilation (JCSDA) Testing Assimilation of WindSat Data for Their Applications
– NRL-DC working closely with John LeMarshall (JCSDA Director)
•Working with National Ice Center to Provide WindSat Ice and Imagery Products in Near Real Time
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WindSat and NPOESSRisk Reduction
WindSat and NPOESSRisk Reduction
•NPOESS Fulfilling the Ocean Wind Speed and Direction Requirement With Polarimetric Microwave Radiometry - CMIS
– Microwave Radiometers Measure Many EDRs In Addition to Wind Vector
•WindSat Provides Risk Reduction to NPOESS and CMIS in Several Ways
– Space Borne Demonstration of Capability of Polarimetric Microwave Radiometry to Measure the Ocean Surface Wind Direction
– Real PMR Data From Space For Model Function and Retrieval Algorithm Development
– WindSat Lessons Learned
- Hardware Development and Testing (Antenna Characterization, Receiver Design and Testing)
- Calibration and Data Processing (Warm Load Target Design, On-orbit Anomalies, RFI Detection and Mitigation)
– WindSat Data Products Used to Prepare for NPOESS Data Assimilation
– Coriolis/WindSat Mission Uses NPOESS Ground Segment for Data Downlink and Distribution
•Working to Ensure That NPOESS Provides Quality Data for Navy Applications
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SummarySummary
• WindSat Successfully Demonstrated Measurement of Ocean Surface Wind Vector with Polarimetric Radiometry
• Providing Key Risk Reduction for NPOESS CMIS Development
• WindSat Data Products Available in Archive and in Near Real Time for Operational Users and the Science Community
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MHB-20060222
Ongoing WorkOngoing Work
• Improved ambiguity selection techniques
• Higher resolution retrievals
• Wind speed bias improvements for wind speeds > 20 m/s
• Refinements to calibration of the brightness temperatures
• Additional cal/val using bouy winds and SST
• Atmospheric forward model improvements
• Improve understanding of the physics
– two-scale modeling of surface emissivity
– improved atmospheric modeling
– foam effects
– rain effects
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WS Rev. 00814 1649UTC TMI Rev. 30217 1648UTC
Very Good Agreement Between WindSat and TMI;WindSat Spatial Resolution Results in Smearing of Some Features
WindSat Rain Rate RetrievalsQualitative Comparison with TRMM
Microwave Imager (TMI)
WindSat Rain Rate RetrievalsQualitative Comparison with TRMM
Microwave Imager (TMI)
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WindSat Measures Ocean Rain Rates
WindSat Measures Ocean Rain Rates
Hurricane Maria; 07 Sep 2005
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WindSat Sea IceWindSat Sea Ice
15-17 Mar 2004• WindSat Sea Ice Products
– Finalizing work done under NPOESS IGS task
• Sea Ice Concentration Based on SSM/I NASA Team Algorithm
– Modified for WindSat Channels and Geometry
– Modified Weather Filter
– Not Exploiting Polarimetric Channels
• Working with Pablo Clemente-Colon of the National Ice Center (NIC) to ensure that WindSat data is available and used in their mission
– Have provided archived products to the NIC to get them started
– Plan to provide operational (NRT) products shortly
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MHB-20060222
SST Performance vs. Reynolds OISST Performance vs. Reynolds OI
OverallBias: 0.04 KStd. Dev.: 0.85 K
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MHB-20060222
SST Performance vs. BouysSST Performance vs. Bouys
WindSat SST retrievals collocated with TAO bouys (equatorial Pacific Ocean)
14364 collocationsBias: 0.01 deg. CStd. Dev.: 0.51 deg. C
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MHB-20060222
Wind Speed vs. QuikSCATWind Speed vs. QuikSCAT
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Wind Direction vs. NDBC BuoysWind Direction vs. NDBC Buoys
4 - 6 m/s 6 - 8 m/s 8-10 m/s > 10 m/s
3.3 0.9 0.1 0.0
Percent 90 deg. edited
Wind SpeedBias: 0.36 m/sStd. Dev.: 1.30 m/s
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Windsat & QSCAT (dir. edit) vs. NDBC -- Rain-FreeWindsat & QSCAT (dir. edit) vs. NDBC -- Rain-Free(Courtesy of M. Freilich, OSU)(Courtesy of M. Freilich, OSU)
Windsat & QSCAT (dir. edit) vs. NDBC -- Rain-FreeWindsat & QSCAT (dir. edit) vs. NDBC -- Rain-Free(Courtesy of M. Freilich, OSU)(Courtesy of M. Freilich, OSU)
Rain-Free CasesMax 50 km separation from buoy
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Ocean RetrievalsOcean Retrievals
• Physically-based Algorithm Using Nonlinear Optimization (NRL)
– Uses Physical Forward Model
– Solves for All Edrs Simultaneously
• Empirical Regression Technique (NRL)
– Two-stage Regression for Wind Vector Components
– MLE for Final Wind Direction
• Retrieved EDRs
– Ocean Surface Wind Vector
– Sea Surface Temperature
– Columnar Water Vapor
– Cloud Liquid Water
– Rain Rate
Constanta priori
TS, W, V, L
Final Retrieval
Stage 2
Stage 1RetrievalTS, W, V, L
Four RetrievalsTS, W, V, L, φR
Median Filter
Regression Retrieval φR
φR
φR + 90
φR + 180
φR + 270
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WindSat Provides GlobalSea Surface TemperatureWindSat Provides GlobalSea Surface Temperature
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WindSat ImageryWindSat Imagery
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Polarimetric RadiometryPolarimetric Radiometry
Available from “Dual Polarization” Systems (SSM/I, SSMIS)
New Capability Available from “Polarimetric” Systems(WindSat)
• Ocean Surface Emission and Scattering Vary With Wind
Vector
- Wind Direction Dependence Arises From Anisotropic Distribution and Orientation of Wind Driven Waves
• Polarimetric Radiometry Measures Stokes Vector
- Polarization Properties of Emitted/Scattered Radiation (Contains Directional Information)
- Wind Direction Signal Is Two Orders of Magnitude Smaller Than Background Signal
ΔTu,
K