/
Seasonal to Seasonal to

Seasonal to - PowerPoint Presentation

liane-varnes
liane-varnes . @liane-varnes
Follow
390 views
Uploaded On 2016-06-17

Seasonal to - PPT Presentation

Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf Heidi M Sosik Hui Feng In Situ Time Series for Validation and Exploration of Remote Sensing Algorithms ID: 365999

chl pigment algorithms diatoms pigment chl diatoms algorithms phytoplankton retrieval size cyanobacteria time cells rrs modis series taxonomic properties

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "Seasonal to" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf

Heidi M.

Sosik Hui Feng

In Situ Time Series for Validation and

Exploration

of

Remote Sensing Algorithms

Woods Hole

Oceanographic

Institution

University of

New HampshireSlide2

Project Overview

Goal: Use unique time series to evaluate algorithms that extend MODIS ocean color data beyond chlorophyll to functional

type or size-class-dependent phytoplankton retrievalsApproach:

End-to-end time series observations, with step-by-step algorithm evaluation and error analysis single cells  phytoplankton community  bulk water optical properties  sea surface optical properties (air and water)  MODIS optical properties

Martha’s Vineyard Coastal Observatory

Tower mounted

AERONET-OC

MODIS products

Submersible Imaging

Flow

CytometrySlide3

ApproachPhytoplankton ObservationsSingle cells to communitiesBiomass, size- and taxon-resolvedPhytoplankton AlgorithmsAbsorption spectral shape  size structureDiagnostic pigments  size structure

Diagnostic pigments  taxonomic structureSlide4

m

mm

m

m

m

m

m

m

m

Variability in community structure

.

Diatoms

Cyano

-

bacteriaSlide5

Pigment-based retrieval of taxonomic groupsDiatoms

“CHEMTAX” Mackey et al. 1996

In situ FCM

Total Chl

a = diatom Chl a + dinoflagellate Chl a + cyanobacteria Chl a

+ …

with partitioning according to accessory pigment ratiosSlide6

Pigment-based retrieval of taxonomic groups

Diatoms

Dinoflagellates

Cyanobacteria

~1

m

m cells

10

m

mSlide7

Diagnostic pigment retrieval from RrsPan et al. 2010 band ratio algorithms

AERONET-OC

SeaPRISM

,

R

rs

(l)

Discrete samples

HPLC pigment analysis

Chl

aSlide8

Diagnostic pigment retrieval from

Rrs

Chl

aFucoxanthin

Zeaxanthin

Pan et al. 2010 band ratio algorithmsSlide9

Seasonality – pigment retrievals

D

iatom

indicator pigmentCyanobacteria

indicator pigment

Diatoms

Cyano-

bacteriaSlide10

Ecosystem characterizationTaxa with positive response to warmer wintersTaxa with negative response to warmer winters

Interannual variability – taxon specificSeasonally adjusted Biomass anomalies vs Temperature anomalies

Cyanobacterium

DiatomsSlide11

Ecosystem characterization Local detail  Trends and patterns of change  Regional to basin scales

Decadal increase in

pico

-cyanobacteria at MVCOSlide12

http://ifcb-data.whoi.edu/Open data accessStandard formatsProcessing pipelines End-to-end provenance