7/14 10 203040 50 40N 74W 72W 10 305070 90 0.5 135 7 135 7 Gradient Strength (au) Boundary Frequency (%) SeaWiFS Chl a (mg m -3 ) Ocean Sat Chl a (mg m.

Slides:



Advertisements
Similar presentations
Zones of the Ocean.
Advertisements

Influence of Sun Elevation under clear skies Influence of Cloud cover Near-surface radiometric measurements are perturbated by the effect of capillary.
Applications, strengths, weaknesses, and calibration of buoy based sensors.
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?)
ASLO/TOS Ocean Research Conference 2004, Feb , 2004, Honolulu, Hawaii1/24 Some Peculiarities of Case 1 Waters Optical Properties in the Northwestern.
Detecting Change in the Global Ocean Biosphere using SeaWiFS Satellite Ocean Color Observations David Siegel Earth Research Institute, UC Santa Barbara.
Monitoring of Phytoplankton Functional Types in surface waters using ocean color imagery C. Moulin 1, S. Alvain 1,2, Y. Dandonneau 3, L. Bopp 1, H. Loisel.
From UV to fluorescence, a semi-analytical ocean color model for MODIS and beyond Stéphane Maritorena & Dave Siegel Earth Research Institute University.
An idealized model of sediments, nutrients, phytoplankton and optics in the Delaware Bay John L. Wilkin Institute of Marine and Coastal Sciences Rutgers,
Beyond Chlorophyll: Ocean color ESDRs and new products S. Maritorena, D. A. Siegel and T. Kostadinov Institute for Computational Earth System Science University.
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.
Phytoplankton physiology diagnosed from MODIS chlorophyll fluorescence Toby K. Westberry, Michael J. Behrenfeld With (lots of) help from Emmanuel Boss,
Page 1GlobColour Meeting – July 10-11, 2006, ESRIN All rights reserved © 2006, ACRI-ST Validation Protocol Updates June 2006 Jo Høkedal and Kai Sørensen.
GlobColour CDR Meeting ESRIN July 2006 Merging Algorithm Sensitivity Analysis ACRI-ST/UoP.
Decadal changes in ocean chlorophyll
Characterizing upper ocean CDOM dynamics using integrated laboratory, satellite and global field data Characterizing upper ocean CDOM dynamics using integrated.
Ecosystem composition and export production variability Corinne Le Quéré, Erik Buitenhuis, Christine Klaas Max-Planck-Institute for Biogeochemistry, Germany.
Spatial variability in drainage basin DOC fluxes : Is there a relationship to remotely- sensed measurements? Joe Salisbury (UNH) Jacqui Aitkenhead-Peterson.
Effects of Fluorescence Self Absorption of Algae in Sea Water Candy Barbaran Annie Becerra Mentors: Prof. Fred Moshary Dr. Alex Gilerson NYCRI C N p.
Center for Remote Sensing and Computational Ecology PREDICTION OF HYPERSPECTRAL IOPs ON THE WEST FLORIDA SHELF W. Paul Bissett Florida Environmental Research.
SIO RAS activities in O. Kopelevich, Lab. Of Ocean Optics SIO RAS, Moscow.
UNH Coastal Observing Center NASA GEO-CAPE workshop August 19, 2008 Ocean Biological Properties Ru Morrison.
Absorption properties of marine particles and CDOM: Use of special measurement devices: Ultrapath and PSICAM Marcel Babin Annick Bricaud Edouard Leymarie.
In situ science in support of satellite ocean color objectives Jeremy Werdell NASA Goddard Space Flight Center Science Systems & Applications, Inc. 6 Jun.
Phytoplankton Bio-optics: Absorption, Pigments, Biomass Phytoplankton Bio-optics: Absorption, Pigments, Biomass Homework: Chapter 2 in your reader: C.
Bio-optical observations of the North Atlantic Spring Bloom Toby K. Westberry 1, Giorgio Dall’Olmo 1, Mike Behrenfeld 1, Emmanuel Boss 2 1 Department of.
Hydrography of Chromophoric Dissolved Organic Matter (CDOM) in the Pacific Ocean Chantal Swan, David Siegel, Norm Nelson, Craig Carlson Institute for Computational.
Satellite Ocean Color Products: What should be produced? ZhongPing Lee, Bryan Franz, Norman Kuring, Sean Baily raise questions, rather to provide definite.
Ocean Color Radiometer Measurements of Long Island Sound Coastal Observational platform (LISCO): Comparisons with Satellite Data & Assessments of Uncertainties.
Norm Nelson, Dave Siegel Institute for Computational Earth System Science, UCSB Bermuda Bio-Optics Project Decade-Plus Perspective on Ocean Color.
Assessing the Ecological Impact of the Antarctic Ozone Hole Using Multi-sensor Satellite Data Dan Lubin, Scripps Institution of Oceanography Kevin Arrigo,
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.
Ocean Color Remote Sensing Pete Strutton, COAS/OSU.
Models for Scattering Curtis Mobley Copyright © 2011 by Curtis D. Mobley Ocean Optics Summer Class Calibration and Validation for Ocean Color Remote Sensing.
Physics-Based Modeling of Coastal Waters Donald Z. Taylor RIT College of Imaging Science.
Impact of Watershed Characteristics on Surface Water Transport of Terrestrial Matter into Coastal Waters and the Resulting Optical Variability:An example.
SMS 598: Application of Remote and In-situ Ocean Optical Measurements to Ocean Biogeochemistry Mary Jane Perry 6 July 2007.
Lecture 3 IOPs: Absorption physics and absorbing materials Collin Roesler 3 July 2007.
Fluorescence Line Height (FLH) Ricardo Letelier, Mark Abbott, Jasmine Nahorniak Oregon State University.
Remote sensing of coastal habitats: Challenges: Adjacency effects Atmospheric correction (no null NIR band) Currently addressed by Europeans (e.g. Belcolour)
Estimating the uncertainties in the products of inversion algorithms or, how do we set the error bars for our inversion results? Emmanuel Boss, U. of Maine.
A semi-analytical ocean color inherent optical property model: approach and application. Tim Smyth, Gerald Moore, Takafumi Hirata and Jim Aiken Plymouth.
Carbon-Based Net Primary Production and Phytoplankton Growth Rates from Ocean Color Measurements Toby K. Westberry 1, Mike J. Behrenfeld 1 Emmanuel Boss.
Jim Greenwood, Richard Matear, Chaojiao Sun, Liejun Zhong, James McLaughlin May 2013 CSIRO MARINE AND ATMOSPHERIC RESEARCH / WEALTH FROM OCEANS Impact.
Scope of Project Coastal estuaries – highly productive – dependent on freshwater inflow to maintain gradients in environmental characteristics and delivery.
Lecture 12: Models of IOPs and AOPs Collin Roesler 11 July 2007.
Open Ocean CDOM Production and Flux
Primary production & DOM OUTLINE: What makes the PP levels too low? 1- run Boundary conditions not seen (nudging time) - Phytoplankton parameter:
Inverse modeling Semi-analytical algorithms : sensitivity analysis of the values of the backscattering spectral dependency n and the a_nap&cdom slope S.
Mycosporine-like Amino Acids (MAAs) may serve to photoprotect phytoplankton from UV radiation  Water soluble compounds  Exhibit Absorption maxima from.
The Dirty Truth of Coastal Ocean Color Remote Sensing Dave Siegel & St é phane Maritorena Institute for Computational Earth System Science University of.
Ocean color atmospheric correction – Using a bio-optical model to address the “black pixel assumption” Ocean Optics Class University of Maine July 2011.
Remote Sensing of the Ocean and Coastal Waters
Primary Productivity from Space
Critical and Compensation Depths (refer to handouts from 9/11/17)
High Resolution Time Series Measurements of Bio-Optical and Physical Variability in the Coastal Ocean as Part of HyCODE Dickey Mooring.
Hydrolight and Ecolight
Reenvisioning the Ocean: The View from Space A RESPONSE
AC-9/AC-S data analysis from CDOM Lab
Introduction to Satellite Remote Sensing (continued)
Equations of straight lines
SAB Chlorophyll Variability Local vs. Remote Forcing
دورة المياه في الطبيعة سنة دراسيه
Optimized multi-satellite merger to create time series of primary production in the California Current Mati Kahru1 M.G. Jacox2, R.M. Kudela2, Z. Lee3,
Wei Yang Center for Environmental Remote Sensing
500 nm WRITE VOLTAGE 0 V.
Estimating Primary Productivity in Central California Using SeaWiFS
Coordination: Nicolas Hoepffner (JRC) Scientific programming:
Presentation transcript:

7/ N 74W 72W Gradient Strength (au) Boundary Frequency (%) SeaWiFS Chl a (mg m -3 ) Ocean Sat Chl a (mg m -3 )

Absorption (m -1 ) Attenuation (m -1 )

A) Salinity B) CDOM C) Phytoplankton D) CDOM slope CDOM absorption (m -1 ) CDOM slope (nm -1 ) Phytoplankton absorption (m -1 ) Salinity

Cell Division unitless

A) B) C) D)