In situ science in support of satellite ocean color objectives Jeremy Werdell NASA Goddard Space Flight Center Science Systems & Applications, Inc. 6 Jun.

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Presentation transcript:

In situ science in support of satellite ocean color objectives Jeremy Werdell NASA Goddard Space Flight Center Science Systems & Applications, Inc. 6 Jun 2011 PJW, NASA/SSAI, 6 Jun UCSB

outline PJW, NASA/SSAI, 6 Jun UCSB the ocean color community; its infrastructure & data archives satellite data product validation; algorithm development “status report” progress within the community; GSFC field work & team

the ocean color community PJW, NASA/SSAI, 6 Jun UCSB U.S. & international academic, research, & government institutions NASA Ocean Biology & Biogeochemistry Program GSFC Ocean Ecology Branch

PJW, NASA/SSAI, 6 Jun UCSB data processing & distribution SeaDAS Aquarius & NPP Ocean PEATE satellite calibration & validation SeaBASS Ocean Biology Processing Group field program support office HPLC analysis team field & satellite sensor development ocean carbon research & laboratory

NASA Ocean Biology & Biogeochemistry (OBB) Program PJW, NASA/SSAI, 6 Jun UCSB field work funded by OBB Program in situ data submitted to NASA SeaBASS (GSFC) within 1-year in situ data publicly released in situ data used to validate satellite data products & to develop / evaluate algorithms in situ used to calibrate satellite

SeaBASS data archive PJW, NASA/SSAI, 6 Jun UCSB AOPs, IOPs, carbon stocks, CTD, pigments, aerosols, etc. continuous & discrete profiles; some fixed observing or along-track

in situ data in support of operational ocean color “cal/val” PJW, NASA/SSAI, 6 Jun UCSB satellite data product validation satellite vicarious calibration (instrument + algorithm adjustment) bio-optical algorithm development, tuning, & evaluation

satellite data product validation: discrete match-ups PJW, NASA/SSAI, 6 Jun UCSB

satellite data product validation: discrete match-ups PJW, NASA/SSAI, 6 Jun UCSB in situ Chl SeaWiFS Chl % Frequency

satellite vicarious calibration (~ discrete match-ups) PJW, NASA/SSAI, 6 Jun UCSB S.W. Bailey, et al. “Sources and assumptions for the vicarious calibration of ocean color satellite observations,” Appl. Opt. 47, (2008)

satellite data product validation: population statistics PJW, NASA/SSAI, 6 Jun UCSB Chesapeake Bay Program routine data collection since cruises / year 49 stations 19 hydrographic measurements algal biomass water clarity dissolved oxygen others

satellite data product validation: population statistics PJW, NASA/SSAI, 6 Jun UCSB Chl-a (mg m -3 ) PJW, NASA/SSAI, 27 Apr HPL P.J. Werdell et al., “Regional and seasonal variability of chlorophyll-a in Chesapeake Bay as observed by SeaWiFS and MODIS-Aqua,” Rem. Sens. Environ. 113, (2009).

bio-optical algorithm development PJW, NASA/SSAI, 6 Jun UCSB “empirical” “semi-analytical” R rs statistically related to pigments, IOPs, carbon stocks, etc. spectral matching of R rs & IOPs

in situ data in support of operational ocean color “cal/val” PJW, NASA/SSAI, 6 Jun UCSB spatial & temporal distributions “complete” suites of measurements (R rs, IOPs, biogeochemistry)

SeaBASS data archive PJW, NASA/SSAI, 6 Jun UCSB AOPs, IOPs, carbon stocks, CTD, pigments, aerosols, etc. continuous & discrete profiles; some fixed observing or along-track

SeaBASS holdings by year: PJW, NASA/SSAI, 6 Jun UCSB

coincident SeaWiFS & in situ data PJW, NASA/SSAI, 6 Jun UCSB

coincident SeaWiFS & in situ data

valid SeaWiFS-in situ match-ups PJW, NASA/SSAI, 6 Jun UCSB

bio-optical algorithm development data sets PJW, NASA/SSAI, 6 Jun UCSB Rrs & Chl & absorption & backscattering R rs R rs & Chl R rs & Chl & absorption

bio-optical algorithm development data sets PJW, NASA/SSAI, 6 Jun UCSB R rs R rs & Chl

bio-optical algorithm data sets PJW, NASA/SSAI, 6 Jun UCSB

moving forward: new missions PJW, NASA/SSAI, 6 Jun UCSB dynamic range of problem set is growing: new missions emphasize research in shallow, optically complex water new missions emphasize “new” products (carbon, rates, etc.) spectral domain stretching to UV and SWIR new missions have immediate, operational requirements

moving forward: community innovations PJW, NASA/SSAI, 6 Jun UCSB AERONET (fixed-above water platforms) buoy networks gliders, drifters, & other autonomous platforms longitude depth latitude towed & underway sampling

GSFC Field Program Support & HPLC Analysis PJW, NASA/SSAI, 6 Jun UCSB GSFC Ocean Ecology Branch Joaquin Chaves Scott Freeman Aimee Neeley Jeremy Werdell SeaBASS TBD Crystal Thomas Tech TBD Stan Hooker Chuck McClain Veronica Lance (post-doc) Antonio Mannino Mike Novak Chuck McClain, Branch Head

PJW, NASA/SSAI, 6 Jun UCSB GSFC Field Program Support & HPLC Analysis capabilities: AOPs IOPs HPLC pigments phytoplankton communities carbon stocks nutrients support: 1 large field campaign / year 2-3 small field campaigns / year 1-2 data analysis workshops / year

questions & comments? PJW, NASA/SSAI, 6 Jun UCSB

satellite ocean color PJW, NASA/SSAI, 6 Jun UCSB

SEA SURFACE TOP-OF-THE-ATMOSPHERE the satellite views the spectral light field at the top-of-the-atmosphere SATELLITE PHYTOPLANKTON 1. remove atmosphere from total signal to derive estimate of light field emanating from sea surface (remote-sensing reflectance, R rs ) 2. relate spectral R rs to C a (or geophysical product of interest) 3. spatially / temporally bin and remap satellite C a observations satellite ocean color PJW, NASA/SSAI, 6 Jun UCSB

visible light wavelength (nm) near-infraredultra-violet SeaWiFS channels radiance, L, in units of  W cm -2 nm -1 sr -1 surface 0o0o  reflectance, R = L incident irradiance, E satellite ocean color PJW, NASA/SSAI, 6 Jun UCSB

different water masses, different L w … one suite of algorithms? satellite ocean color PJW, NASA/SSAI, 6 Jun UCSB