Lecture 1: Light and Radiometry (CM)

Lab 1: Playing with light; Introduction to scattering, absorption, fluorescence, polarization

Lecture 2: Overview of IOPs, AOPs, and the RTE (CR)

Lecture 3: Absorption physics; overview of absorption spectra for water, CDOM, NAP, phytoplankton, etc (CR)

Lab 2: CDOM absorption

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Lecture 4a,b: Dissolved absorption methods, background material for lab (MJP spectrophotometer, EB ac-9)

Lecture 5: Phytoplankton pigments, photo-adaptation, and taxonomic classification (MJP)

Lecture 6: Physics of elastic and inelastic scattering, volume scattering and phase functions; scattering by water constituents (CM)

Lab 3: Particulate absorption

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Pre-lab lecture: Particulate absorption measurements with the ac-9 and benchtop spectrophotometer; Kashino method (CR)

Student presentation: Comparison of CDOM absorption from Tuesday

Student presentation: Comparison of particulate absorption from Thursday

Lecture 7: Fluorescence (MJP)

Lab 4: Fluorescence by CDOM and chlorophyll.

Lab 4 continued...

Lab 4 St 5 sampling schedule

Lecture 8: Beam attenuation and its spectra (EB)

Lecture 9: AOP introduction (CM)

Student presentation: Results from Lab 4

Lab 5: Scattering lab

Pre-lab lecture: method to measure scattering and calibration issues

Lecture 10: Intro to ocean color satellite remote sensing and basic atmospheric corrections for remote sensing (CR)

Lecture 11: Life of a pixel from reception on-board the satellite to distribution to the community (Paula Bontempi)

Student presentation: Results from Lab 5

Lab 6: Radiometry lab

Pre-lab lecture: PAR vs. spectral, cosine vs. scalar, different reflectences

Cruise data

Lecture 12: Models of IOP and AOP (CR)

Lecture 13: Calibration and validation of satellite data (Paula Bontempi)

Lab 7: AOP; Compute K and mu from measured data

Lecture 14: Rrs inversion methods: Statistical methods to obtain [chl] and/or IOP (from ratios to neural networks) (CM)

Lecture 15: Rrs inversion methods: Semi-analytical models to obtain IOP (CR)

Student presentation: Results from Lab 4, continued

Lab 8: Introduction to Hydrolight

Work on previous data, linking IOP and AOP with biogeochemical variables

Lab 9: Optical measurements aboard the R/V Ira C

Cruise data

Work up vertical profiles of a, b and bb/b for input into Hydrolight. Work up radiometric data and AOPs for comparison with Hydrolight.

Lecture 16: Approximate analytic solutions to the radiative transfer equation, e.g. single scattering (CM)

Lecture 17: The link between particle properties (size, composition, shape, internal structure) and IOP (EB)

Student presentation: Results from Lab 6 and Lab 7

Lab 10: Hydrolight; closure between measurements and predictions.

Lecture 18: Polarization (CM)

Lecture 19: Linking in situ IOP with biogeochemistry, case studies (multi-instructor presentation and discussion)

Lab 11: Mie theory; from single particles to populations.

Lecture 20: Linking ocean color with biogeochemistry, case studies (multi-instructor presentation and discussion)

Lecture 21: ONR interests (Dr. Joan Cleveland)

Lecture 22: Deployment strategies for different optical sampling platforms (CR fixed moorings, MJP ALPS, EB other)

Lab 12: Inversions of Rrs. Working with data and codes.

Lecture 23: Primary production, optical and remote sensing models (MJP)

Lecture 24: Remote sensing of shallow waters (CM)

Dinner: Lobster, clams, and oysters at Round Pond

Lab 13: Particle size: Coulter, LISST, spectral c_p and microscope on dock sample and cultures of small and large phytoplankton. 

Grand synthesis of cruise data (student led discussion)

Class evaluations