Absorption properties of marine particles and CDOM: Use of special measurement devices: Ultrapath and PSICAM Marcel Babin Annick Bricaud Edouard Leymarie.

Slides:



Advertisements
Similar presentations
OOI Data QC workshop, June 6-8, 2012, Darling Marine Center, Univ. Maine Data QC for the BOUSSOLE bio-optical time series project (issues, and solutions?)
Advertisements

Vertical Distribution of Photosynthetic Pigments in Bamfield Inlet and Trevor Channel Ashlee Lillis Eosc 473.
Phytoplankton absorption from ac-9 measurements Julia Uitz Ocean Optics 2004.
Copyright © 2014 by Curtis D. Mobley Curtis Mobley Vice President for Science and Senior Scientist Sequoia Scientific, Inc. Belleue, WA 98005
GlobColour CDR Meeting ESRIN July 2006 Merging Algorithm Sensitivity Analysis ACRI-ST/UoP.
A novel concept for measuring seawater inherent optical properties in and out of the water Alina Gainusa Bogdan and Emmanuel Boss School of Marine Sciences,
2 Remote sensing applications in Oceanography: How much we can see using ocean color? Adapted from lectures by: Martin A Montes Rutgers University Institute.
CSCE 641: Photon Mapping Jinxiang Chai. Outline Rendering equation Photon mapping.
(a) (b) (c) (d) (e) (a)(b) (c)(d) OPTICAL IMPACTS ON SOLAR TRANSMISSION IN COASTAL WATERS Grace C. Chang and Tommy D. Dickey 1 Ocean Physics Laboratory,
OS12A-141 Comparison of Monte Carlo Model Predictions with Tank Beam Spread Experiments Using a Maalox Phase Function Obtained with Volume Scattering Function.
1 Remote sensing applications in Oceanography: How much we can see using ocean color? Martin A Montes Ph.D Rutgers University Institute of Marine and Coastal.
HiRes Usage. Outline ● Shower energy ( Size, dE/dx ) ● Atmospheric profile ( stdz76, radiosonde) ● Rayleigh Scattering ● Aerosols Model ( density, variability.
Remote Assessment of Phytoplankton Functional Types Using Retrievals of the Particle Size Distribution from Ocean Color Data Tihomir Kostadinov, David.
Lecture 12 Monte Carlo Simulations Useful web sites:
Data Processing of IOP Packages Attenuation, Absorption and Backscattering c, a, b b Ian Walsh, Ph.D. Director of Science, Sea-Bird Scientific.
The IOCCG Atmospheric Correction Working Group Status Report The Eighth IOCCG Committee Meeting Department of Animal Biology and Genetics University.
VLVnT 09 – Vladimir Zhukov 4-th International Workshop on Very Large Volume Neutrino Telescopes for the Mediterranean Sea LIGHT TRANSMISSION MEASUREMENTS.
IOPs of suspended sediments in rivers and coastal margins: Towards modeling turbid-water photochemistry from space Margaret L. Estapa University of Maine.
Marine inherent optical properties (IOPs) from MODIS Aqua & Terra Marine inherent optical properties (IOPs) from MODIS Aqua & Terra Jeremy Werdell NASA.
The beam attenuation coefficient and its spectra* (also known as beam-c or extinction coefficient ). Emmanuel Boss, U. of Maine *Some of the graphic is.
Norm Nelson, UCSB Chantal Swan, UCSB / ETH with assistance of: Julia Gauglitz, Teresa Serrano Catala, Erica Aguilera UltraPath in the Oligotrophic Ocean.
SeaHARRE-3 : the third SeaWiFS HPLC Analysis Round Robin Exercise History 2 previous SeaHARRE exercises, coordinated by S. Hooker (NASA) and LOV:  1999:
1 Istanbul, November Joint Research Centre, European Commission, Ispra, Italy JRC Contribution to the NATO SfP Bio-Optical project Giuseppe.
”MOBY-Net, an ocean color vicarious calibration system” PI: Kenneth Voss, Physics Dept., Univ of Miami Co-I’s: Carol Johnson (NIST), Mark Yarbrough (MLML),
OU NanoLab/NSF NUE/Bumm & Johnson Spectrophotometry Key Concepts Lambert’s Law of Absorption Beer’s Law Beer-Lambert Law Absorption Cross-Sections Photometric.
Towards community-based approaches to estimating NPP & NCP from remotely-sensed optical properties Rick A. Reynolds Scripps Institution of Oceanography.
Chlorophyll Results Ocean Optics 2004 Mike Sauer & Eric Rehm.
The link between particle properties (size, packaging, composition, shape, internal structure) and their IOPs. In order for us to be able to use optical.
SCM 330 Ocean Discovery through Technology Area F GE.
Using in-situ measurements of inherent optical properties to study biogeochemical processes in aquatic systems. Emmanuel Boss Funded by:
Optical Measurements & K d values Elizabeth Cox 29 November 2010.
ASSESSMENT OF OPTICAL CLOSURE USING THE PLUMES AND BLOOMS IN-SITU OPTICAL DATASET, SANTA BARBARA CHANNEL, CALIFORNIA Tihomir S. Kostadinov, David A. Siegel,
Lab 3 Particulate Absorption Collin Roesler 5 July 2007.
Backscattering Lab Julia Uitz Pauline Stephen Wayne Slade Eric Rehm.
Inverting In-Water Reflectance Eric Rehm Darling Marine Center, Maine 30 July 2004.
Scattering: What is it? Who does it? A few demos to get us going Why should you care about it? *includes materials by C. Roesler and C. Mobley.
BIOCAREX Meeting Villefranche sur mer 24 January 2014
Definition and assessment of a regional Mediterranean Sea ocean colour algorithm for surface chlorophyll Gianluca Volpe National Oceanography Centre, Southampton.
Rick Reynolds and Dariusz Stramski Measurements of IOPs and Characterization of Particle Assemblages for Monterey Bay Experiment Marine Physical Laboratory.
Dariusz Stramski Marine Physical Laboratory Scripps Institution of Oceanography University of California, San Diego OCEAN OPTICS SCIENCE IN SUPPORT OF.
Examples of Closure Between Measurements and HydroLight Predictions Curtis D. Mobley Sequoia Scientific, Inc. Bellevue, Washington Maine 2007.
Preliminary results and uncertainties of scattering measurements for SORTIE Michael Twardowski 1, Scott Freeman, Jim Sullivan, Ron Zaneveld, Chuck Trees,
The link between particle properties (size, composition, shape, internal structure) and IOP Emmanuel Boss.
Scattering and attenuation and tracking uncertainties for cal/val.
Lecture 3 IOPs: Absorption physics and absorbing materials Collin Roesler 3 July 2007.
Controls on Suspended Particle Properties and Water Clarity along a Partially-Mixed Estuary, York River Estuary, Virginia Kelsey A. Fall 1, Carl T. Friedrichs.
Preparation for CDOM absorption lab (spectrophotometry) Mary Jane Perry.
A model for predicting spectral signature of suspended sediments Vijay Garg & Indrajeet Chaubey † ECOLOGICAL ENGINEERING GROUP † Respectively, Graduate.
SIO 210: Light and Optics Oct. 12, 2009 Uwe Send Reading: DPO chapter 3 J.R. Apel, Principles of Ocean Physics,
Physical and Chemical characterization of the aerosol during the cruise Guieu/Losno/Bonnet/Blain/Gaudichet 1) Scientific objectives:  Determine the particles.
Correspondence Between Net Oxygen Production and Measurements of Inherent Optical Properties Cedric Hall Elizabeth City State University Mentor: Dr. Joseph.
1 Retrieval of ocean properties using multispectral methods S. Ahmed, A. Gilerson, B. Gross, F. Moshary Students: J. Zhou, M. Vargas, A. Gill, B. Elmaanaoui,
Lecture 12: Models of IOPs and AOPs Collin Roesler 11 July 2007.
COLORIMETRY & SPECTROPHOTOMETR
Lab 4 Scattering. Samples: Platymonas * Chaetoceros * Arizona 'Dust' *Wikipedia Damariscotta River Estuary.
Building an Integrated Ocean Color Sensor Web at the Land-Sea Interface UCSC UARC/ARC Ames GSFC BSI SARP.
E d ( ) L u ( ) c = a + b b tot = b f + b b IOP- Inherent optical property eg. absorption (a), scattering (b), attenuation (c) AOP- Apparent optical property.
Computer Graphics: Illumination
Lecture 2 Introduction to Inherent Optical Properties (IOPs) and Radiative Transfer Apparent Optical Properties (AOPs) C. Roesler 3 July 2007.
Feng Peng and Steven Effler
OBJECTIVES Develop an understanding of variability in the relationships between particulate organic carbon (POC), light scattering, and ocean color Develop.
Estimation of analyte concentration on the basis of light absorption
Optical Oceanography and Ocean Color Remote Sensing
AC-9/AC-S data analysis from CDOM Lab
Cedric Hall Elizabeth City State University
Metode Manual (Bergeys manual of bacteriology) sni.
Estapa, Margaret1; Boss, Emmanuel2; Mayer, Lawrence M
Jason Hamel Dr. Rolando Raqueño Dr. John Schott Dr. Minsu Kim
Measurement of Absorption in Seawater
Presentation transcript:

Absorption properties of marine particles and CDOM: Use of special measurement devices: Ultrapath and PSICAM Marcel Babin Annick Bricaud Edouard Leymarie Antoine Sciandra

Motivations (1) - In open ocean waters, especially in ultra-clear waters, these relative contributions are difficult to quantify and poorly known. We believe that these relative contributions are highly variable. We believe that these relative contributions are highly variable. - The relative contributions of CDOM, phytoplankton and non-algal particles (NAP) to light absorption have to be known for predicting/interpreting the inherent and apparent optical properties of the ocean.

Motivations (2) - Some of our previous observations ( a NAP / a p is largest in the Med Sea, and lowest in the Pacific, Bricaud et al. 1998) suggest that iron could contribute to non-algal absorption in some open ocean waters - Iron could also play a role in light absorption by CDOM (e.g. Emmenegger et al. 2001) (e.g. Emmenegger et al. 2001)

Objectives for the BIOSOPE cruise - To quantify the relative contributions of phytoplankton, CDOM and NAP to light absorption in the BIOSOPE area, using new (highly sensitive) measurement devices - To extend our database of phytoplanktonic absorption to ultra-oligotrophic waters, and check the validity of the previously developed parameterizations (a  ( ) vs. chl) - To study the variability of these contributions in the various areas explored during the cruise (contrasted wrt. iron limitation) -> role of iron in light absorption by NAP and CDOM? -> role of iron in light absorption by NAP and CDOM?

Methods - Classical methods: Particulate absorption: concentration of particles on a GF/F filter, spectrophotometric analysis Particulate absorption: concentration of particles on a GF/F filter, spectrophotometric analysis CDOM absorption: spectrophotometric measurements using 10 cm cells CDOM absorption: spectrophotometric measurements using 10 cm cells These methods are adequate for mesotrophic waters (will be used as often as possible as reference) but not for ultra- oligotrophic waters (CDOM absorption too low; large seawater volume needed for particulate absorption) two alternative (complementary) methods: - Ultrapath (commercial instrument, pathlength 2 m) - PSICAM (prototype in development, pathlength > 5 m)

Ultrapath cell Ultrapath system Light source Peristaltic pump Ultrapath cell Spectrophotometer TIDAS 1 2cm 200cm 10cm 50cm Optical fiber Sample

Ultrapath: tests on natural samples and algal cultures (DEA Maria Vlachou, 2003) Can be used also for particulate absorption measurements (needs accurate scattering correction –> ac-9) Phytoplanktonic culture Dyfamed, 40 m Sensitive method for CDOM absorption measurements The rinsing protocol is being automatized to provide reproducible measurements (A. Sciandra, G. Malara)

Methodological Development: PSICAM (Point Source Integrating Cavity Absorption Meter) Water sample Detector Inlet and outlet Monochromatic light source Spectralon sphere Theoretical concept formulated by Elterman (1970), developed by Kirk (1995)Theoretical concept formulated by Elterman (1970), developed by Kirk (1995) Advantages :Advantages : 1.Extremely sensitive (pathlengths up to more than 10 meters) 2.Insensitive to scattering by particles

Agenda of the PSICAM development Dec 2003 – Feb 2004 : Development of a 3-D Monte Carlo code to optimize the design of the sphere Dec 2003 – Feb 2004 : Development of a 3-D Monte Carlo code to optimize the design of the sphere Feb 2004 : Visit to JTO Kirk’s lab Feb 2004 : Visit to JTO Kirk’s lab March-April : Building of the system March-April : Building of the system May-June : Tests in lab and calibration protocol May-June : Tests in lab and calibration protocol July-October : Tests at sea July-October : Tests at sea  BIOSOPE  BIOSOPE

Supplementary measurements needed HPLC pigment concentrations HPLC pigment concentrations In situ absorption/ attenuation (ac-9) measurements (correction of Ultrapath a p measurements) In situ absorption/ attenuation (ac-9) measurements (correction of Ultrapath a p measurements) Particle dry weight (filtration of 7 L of seawater) Particle dry weight (filtration of 7 L of seawater) Iron concentration (particulate and dissolved), and ionic (ferric/ferrous) composition if possible Iron concentration (particulate and dissolved), and ionic (ferric/ferrous) composition if possible

Methodological Development: PSICAM (Point Source Integrating Cavity Absorption Meter) Water sample Detector Inlet and outlet Monochromatic light source Spectralon sphere Theoretical concept formulated by Elterman (1970), developed by Kirk (1995)Theoretical concept formulated by Elterman (1970), developed by Kirk (1995) Advantages :Advantages : 1.Extremely sensitive (pathlengths up to more than 10 meters) 2.Insensitive to scattering by particles

SimulO Forward 3-D Monte-Carlo Simulation Program Graph window to plot results in real time 2D picture to display current device projection. Simulation window to follow the calculation shell window to program different tasks

Surface / Volume properties Snell – Fresnel Laws : Snell – Fresnel Laws : (example : parallel plate) n=1 n=1.7 Parallel plate Photon Source Lambertian surface : (example : diffusion of a parallel beam) Various surface properties can be selected :Various surface properties can be selected : Reflection - Absorption : Photon Source Reflection Absorption Transparent, Absorption Diffusion with different choices of phase function Various Volume properties can be selected :Various Volume properties can be selected :

Simulation of the Point Source Water sample : a = 5 m -1, b = 2 m -1 (Petzold) Ideal and Simulated Sources ( Number of photons : )  99 % Lambertian surface 