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Remote Sensing at RSMAS – a new NESDIS connection. Peter J. Minnett Meteorology and Physical Oceanography Rosenstiel School of Marine and Atmospheric Science University of Miami. CIMAS Review February 20, 2003. Background. - PowerPoint PPT Presentation
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Remote Sensing at RSMAS Remote Sensing at RSMAS – a new NESDIS connection– a new NESDIS connection
Peter J. MinnettMeteorology and Physical Oceanography
Rosenstiel School of Marine and Atmospheric ScienceUniversity of Miami
CIMAS ReviewFebruary 20, 2003
BackgroundBackground
• Dr. Eric Bayler, Chief of Ocean Research and Applications at NESDIS intends to establish a new core funding line through CIMAS to support Ocean Remote Sensing at RSMAS.
• Activities to support NESDIS objectives.
• To complement new Cooperative Institute for Ocean Remote Sensing to be set up at Oregon State University.
• Anticipated initial funding ~$250,000 yr-1
OutlineOutline• “Critical mass” at RSMAS in several aspects
of ocean remote sensing.• Examples of appropriate research topics:
– Innovative optical-acoustic remote sensing in shallow water.
– MODIS SST and chlorophyll-a developments.– SST validation.– SST application: hurricane prediction.– High resolution winds and waves from X-Band
radar on Explorer of the Seas.
RSMAS – UM – AOMLRSMAS – UM – AOML
• At RSMAS, at least 25 Faculty members At RSMAS, at least 25 Faculty members involved in satellite remote sensing.involved in satellite remote sensing.
• In the Department of Physics:In the Department of Physics:– Dr. H. Gordon– Dr. K. Voss
• At NOAA AOML:At NOAA AOML:– Dr. K. Katsaros – A large group on AOML staff members.
Science Teams Science Teams
• RSMAS Faculty serve on
–at least 6 NASA Science Teams.
–2 ESA Envisat Science Advisory Groups.
–The GODAE High Resolution SST Pilot Project Science Team
–…..
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
Remote sensing strengthsRemote sensing strengths
• People – expertise, international recognition.
• CSTARS – world-class facility.
• Inventory of instruments, including ASIS.
• Ships – Walton Smith, Explorer of the Seas.
• ASIST (Air-Sea Interaction Salt-Water Tank).
• High volume data conduits: Internet-2, DOMSAT.
• Links with AOML.
NESDIS - CIMASNESDIS - CIMAS• Candidate priority areas:
– Visible hyperspectral imagery in coastal areas– Atmospheric corrections for ocean color and SST– Validation of SST, for the climate record– Improved coastal forecasting using satellite data– Applications of ocean color data to fisheries– Assimilation of satellite data in ocean models– High resolution wind speeds from SAR and radar
scatterometry– Air-sea interaction in the tropical oceans, including
absorption of insolation in the water column
Examples of relevant Examples of relevant RSMAS researchS research
• Hyperspectral measurements in the coastal ocean
• SST from MODIS• Chlorophyll from MODIS• Accurate validation of SSTs• Improved coastal forecasting using satellite
data• High resolution winds and waves from X-Band
Radar
Original measuredspectrum at surface, water depth of 2 m.
Modeledbottom reflectancespectrum.
Water column correctionWater column correction
•Can acoustics augment hyperspectral classification in optically shallow water?
•Can acoustics substitute for hyperspectral classification in optically deep water?
Acoustic ClassificationAcoustic Classification
Gleason et al.
Field StudiesField Studies
TSRB
Echo Sounder& Data Acquisition(QTCView System V)
Transducer& Video
WAASGPS
Examples of relevant Examples of relevant RSMAS researchS research
• Hyperspectral measurements in the coastal ocean
• SST from MODIS• Chlorophyll from MODIS• Accurate validation of SSTs• Improved coastal forecasting using satellite
data• High resolution winds and waves from X-Band
Radar
MODIS images on RSMAS web pages – SSTMODIS images on RSMAS web pages – SST
4µm SST – Night.
December 5, 2002
http://www.rsmas.miami.edu/groups/rrsl/modis/
Aqua-day
Terra-day
Terra/Aqua Global DAY SST - Sept 29, 2002Terra/Aqua Global DAY SST - Sept 29, 2002
Composite Aqua, Terra SSTComposite Aqua, Terra SST
Aqua, Terra combined orbits nearly eliminate swath gapsAqua, Terra combined orbits nearly eliminate swath gaps Night, Sept 29, 2002 Night, Sept 29, 2002
Nearly Complete Single Day CoverageNearly Complete Single Day CoverageComposite Night (MODIS-T, MODIS-A)
Day, Night - (AMSR, TMI) Sept 29, 2002, 0.25o spatial resolution
Examples of relevant Examples of relevant RSMAS researchS research
• Hyperspectral measurements in the coastal ocean
• SST from MODIS• Chlorophyll from MODIS• Accurate validation of SSTs• Improved coastal forecasting using satellite
data• High resolution winds and waves from X-Band
Radar
MODIS images on RSMAS web pages – Chl-aMODIS images on RSMAS web pages – Chl-a
December 1, 2002
Global Chlorophyll from MODISGlobal Chlorophyll from MODIS
September 2001
Examples of relevant Examples of relevant RSMAS researchS research
• Hyperspectral measurements in the coastal ocean
• SST from MODIS• Chlorophyll from MODIS• Accurate validation of SSTs• Improved coastal forecasting using satellite
data• High resolution winds and waves from X-Band
Radar
In Situ Validation DataIn Situ Validation Data
Drifting Buoys
•Explorer cruise tracks that provide bias reference
•Drifting buoys, used to compute SST equation retrieval coefficients
• M-AERI cruise tracks, final validation suite
Examples of relevant Examples of relevant RSMAS researchS research
• Hyperspectral measurements in the coastal ocean
• SST from MODIS• Chlorophyll from MODIS• Accurate validation of SSTs• Improved coastal forecasting using satellite
data• High resolution winds and waves from X-Band
Radar
Hurricane Isidore’s Cold WakeHurricane Isidore’s Cold WakeCombined IR, Microwave SST provides daily 0.25 deg resolution Combined IR, Microwave SST provides daily 0.25 deg resolution
SST field and the ability to better forecast hurricane intensificationSST field and the ability to better forecast hurricane intensification
Sept 26, 2002 MODIS AQUA, Terra, AMSR, TMI Composite
Reynolds Objectively Interpolated SST week prior to hurricane passage
Isidore
ColdWake
Ocean Upper Heat ContentOcean Upper Heat Content
Reduction of heat content reduces energy available to support hurricane intensification.Reduction of heat content reduces energy available to support hurricane intensification.Use of low resolution, prior week interpolated data field does not adequately capture Use of low resolution, prior week interpolated data field does not adequately capture reduction of heat content, combined IR/MW SST provides more accurate assessment reduction of heat content, combined IR/MW SST provides more accurate assessment leading to improved hurricane forecast, using SHIPS. This research is in collaboration leading to improved hurricane forecast, using SHIPS. This research is in collaboration
with the National Hurricane Center.with the National Hurricane Center.
100 W 95 W
90 W 85 W 80 W
20 N
25 N
30 N
0 20 40 60 80 100 120 140 160
OHC (KJ cm-2)
Reynolds’ SST based heat content Combined IR, µw SST based heat content
FromNick Shay,
RSMAS-MPO &
Sean White, AOML
Examples of relevant Examples of relevant RSMAS researchS research
• Hyperspectral measurements in the coastal ocean
• SST from MODIS• Chlorophyll from MODIS• Accurate validation of SSTs• Improved coastal forecasting using satellite
data• High resolution winds and waves from X-Band
Radar
SummarySummary
We look forward to a new, strong and beneficial link to NESDIS through CIMAS to support research in Satellite Oceanography, to enhance current projects and support new ones.
Peter Minnett – 305 361 4104