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Quality Control of Phycoerythrin Data from The Columbia River Estuary

Quality Control of Phycoerythrin Data from The Columbia River Estuary. Development of a Correction for Turbidity Artifacts . Observation ● Prediction ● Analysis ● Collaboration. Sarah Riseman Acknowldegements : Antonio Baptista Charles Seaton Needoba /Peterson Lab Lydie Herfort

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Quality Control of Phycoerythrin Data from The Columbia River Estuary

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  1. Quality Control of Phycoerythrin Data from The Columbia River Estuary Development of a Correction for Turbidity Artifacts. Observation ● Prediction ● Analysis ● Collaboration Sarah Riseman Acknowldegements: Antonio Baptista Charles Seaton Needoba/Peterson Lab LydieHerfort CMOP Field Team CMOP Staff www.stccmop.org

  2. Background: phycoerythrin • Chemotaxonomic pigment • Synechococcus spp. • Cryptophytes • Myrionecta rubra** • Measured using Fluoromtry • Autofluorescent: fluorometers designed with filter sets to specifically measure the presence of phycoerythrin • Turbidity & temperature are two sources of bias of in situ fluorometric measurements

  3. Background: Basics of a Filter Fluorometer Adapted from:http://www.turnerdesigns.com/t2/doc/appnotes/998_0050/0050_c3.html

  4. Chlorophyll & Phycoerythrin Spectral Properties Chlorophyll a 460 620 - 715 Phycoerythrin 523 578

  5. SATURN-03 Data from 2m (July 2010 – March 2011) Turbidity Raw Phycoerythrin Chlorophyll

  6. Combined Turbidity Correction Turbidity Corrected Phycoerythrin Chlorophyll

  7. Preliminary Turbidity Correction Monthly Phycoerythrin vs. Turbidity, Colored by Chlorophyll Saturn03 - 2m Phycoerythrin July August September Turbidity October *November

  8. Preliminary Turbidity Correction time period not used in regression (8/15 – 10/10) Time combined remainder of data into single data set

  9. Preliminary Turbidity Correction – Linear Fits high(225-500ntu) All Data Low (< 225ntu)

  10. Preliminary Turbidity Correction

  11. Preliminary Turbidity Correction Turbidity Corrected Phycoerythrin Chlorophyll back

  12. Combined Turbidity Correction Turbidity Raw Phycoerythrin Chlorophyll

  13. New Turbidity Correction

  14. Details of Correction Determination • Data Selection: • - winter only • - all 3 depths • - chlorophyll < 2 ug/L • turbidity < 625 NTU • 2. Data Binned & Averaged • 1 NTU turbidity bins • data within mean +/- 3 s.d. averaged • 3. Curve Fitted • several evaluated • simplest selected: • Exponential rise to maximum: Single 3 parameter Exponent

  15. New Turbidity Correction Turbidity Corrected Phycoerythrin Chlorophyll

  16. Comparison of Turbidity Corrections

  17. Conclusions • The turbidity corrections need to be periodically evaluated for changes and updated accordingly • With correction, the phycoerythrin data display a clear pattern corresponding to Chlorophyll • These data clearly identified the onset of the 2010 M. rubra bloom • With field samples a calibration to cell abundance should be possible

  18. Discussion Topics: where do we go from here? • Are the corrected data useful? - Can they be used to monitor the onset & development of M. rubra blooms in the CRE? • How do we validate these signals? - field sampling sampling - monitoring sensor drift

  19. EXTRA SLIDES FOLLOW

  20. Phycoerythrin/Turbidity Relationship Over Time RE-PLAY JULY 2010 – MARCH 2011 JULY AUGUST SEPTEMBER OCTOBER NOVEMBER DECEMBER JANUARY FEBRUARY MARCH

  21. Processing of SATURN-03 Data

  22. Preliminary Correction

  23. Turbidity Chlorophyll Phycoerythrin - raw

  24. Turbidity Chlorophyll Phycoerythrin - corrected

  25. Phycoerythrin - corrected Salinity

  26. Saturn01 Turbidity Correction based compiled data from 3 depths (2m,8m,13m) where chl < 1.5 ug/L during Aug 4 – Aug 22, 2010) Saturn01 Turbidity Factor Based on Bin/Avg Regression: TF = 1178.4*turb + 1334.1 Corrected PE = PE – TF (+2850 to raise to raw data baseline)

  27. Sat01 -2m PE Correction

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