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Contrasting inherent optical properties and carbon metabolism in four northeastern (USA) estuary-plume systems D. Vandemark, NASA/GSFC & UNH J. Salisbury, C. Hunt, J. Campbell, Univ. of New Hampshire W. McGillis, Columbia University - LDEO. Program Goals
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Contrasting inherent optical properties and carbon metabolism in four northeastern (USA) estuary-plume systems D. Vandemark, NASA/GSFC & UNH J. Salisbury, C. Hunt, J. Campbell, Univ. of New Hampshire W. McGillis, Columbia University - LDEO
Program Goals • Examine freshwater control upon Gulf of Maine coastal waters in terms of carbonate, nutrient, and productivity dynamics • Develop techniques to retrieve metabolic information from inherent optical properties and eventually from satellite measurements • This talk : first observations • Contrast amongst four river systems • Empirically relate bio-optical & metabolic terms using clustering analysis
Observational program • UNH/COOA : NOAA-sponsored (COTS) • Flo-thru suite: physical + fluor. + IOP + metabolic (pCO2,O2) variables • Discrete sampling and phys. + IOP profiling along salinity gradient • Four rivers sampled seasonally in Gulf of Maine • Hudson river also sampled 7/1-7/2, 2004 (see McGillis) 2004 COOA Gulf of Maine measurement program
COOA shipboard measurements R/V Gulf Challenger – majority of 2004 data set Camden Belle -26’ riverine sampling vessel Profiler: AC-9, AC-S, fl_CDOM,CHL,PEB, and CTD Fast-rate CO2 equilibrator Infrared CO2 gas analyzer Flo-thru O2, fl_Chl, fl_CDOM, beam_c, T, S
Four rivers in four days - summer climatology Acadia • varied watersheds, 3 of GoMaine’s largest sources • Sampled plumes -> 0 psu, 27-30 July 2004 Boston
Contrasts between rivers July 2004 CDOM surrogate for DOC
Contrasts between rivers July 2004 Relatively high DIN loads
Contrasts between rivers July 2004 120 110 100 90 80 70 Atm BOUNDS Merrimac – autotrophic Pleasant – strongly heterotrophic
Study in progress • Diverse watersheds conditions in optical, trophic, and gas flux terms • Some consistency with modeled basin attributes • Coming work - conservative mixing vs. localized processing along salinity gradient and vs. season • …including profile & discrete data: nutrients, TA, pH, DIC, DOC, DON, POC, HPLC
Covariance between surface variables Merrimac River
Classification via clustering analysis - end goal is to link satellite retrievals to ecosystem metabolism 4 Observables [ T, fl_CDOM, fl_CHL, c660 ]i = 1,n Objective clustering n=30000 (S < 31 psu) Metabolic indicator? O2 pCO2 Present result: 22 classes