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Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf: In Situ Time Series for Validation and Exploration.

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Presentation on theme: "Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf: In Situ Time Series for Validation and Exploration."— Presentation transcript:

1 Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity on the New England Shelf: In Situ Time Series for Validation and Exploration of Remote Sensing Algorithms (The proposal submitted to NASA ROSES (NNH09ZDA001N- TERRAQUA; recently awarded) Heidi Sosik ( P.I): Woods Hole Oceanographic Institution Hui Feng (Co-I): University of New Hampshire the MODIS Science Team Meeting, Adelphi, MD ( May 18-20, 2011)

2 New England shelf Time series approach Leverage existing observing assets –Martha’s Vineyard Coastal Observatory (MVCO – cabled facility) –AERONET-OC (i.e. SeaPRISM) for sea surface radiometry (Lwn, aot) –In situ flow cytometry to characterize phytoplankton communities AERONET-OC: nLw(λ), AOT(λ) Cape Cod Automated submersible flow cytometry

3 The study site presents important Opportunities and Challenges Predictable seasonal switch in phytoplankton dominance – large diatoms in winter – small cells in summer Phytoplankton community changes impact bulk optical properties ( (discrete samples) – Seasonality strong – Interannual variability also evident MODIS products influenced by atmospheric correction and other potential issues – Well-known for northeast US waters – Unique dataset to evaluate new approaches nLw: AERONET-OC nLw: MODIS

4 Objectives Extend/analyze the existing phytoplankton community time series at MVCO with focus on resolving seasonal to interannual patterns and modes of variability; Extend/analyze the existing phytoplankton community time series at MVCO with focus on resolving seasonal to interannual patterns and modes of variability; Extend/analyze the existing AERONET-OC times series at MVCO for coastal ocean color validation for expanded understanding of uncertainty sources for satellite ocean color retrievals (on going; more today) ; Extend/analyze the existing AERONET-OC times series at MVCO for coastal ocean color validation for expanded understanding of uncertainty sources for satellite ocean color retrievals (on going; more today) ; Explore (and possibly adapt) published approaches to retrieve phytoplankton functional groups and/or size classes from AERONET-OC / MODIS water-leaving radiances on the basis of comparison with the in situ time series; Explore (and possibly adapt) published approaches to retrieve phytoplankton functional groups and/or size classes from AERONET-OC / MODIS water-leaving radiances on the basis of comparison with the in situ time series; Develop approaches and criteria for extending the spatial / temporal foot print of phytoplankton community characteristics in using MODIS products (existing and exploratory) to beyond the locations of detailed in situ measurements (e.g., MVCO). Develop approaches and criteria for extending the spatial / temporal foot print of phytoplankton community characteristics in using MODIS products (existing and exploratory) to beyond the locations of detailed in situ measurements (e.g., MVCO).

5 Validation of MODIS ocean color and aerosol retrievals in the northeastern US coast using AERONET-OC: On-going activities

6 Objectives Establish a high-quality observational time series dedicated to satellite ocean color product validation at a NW Atlantic coastal site (MVCO) Establish a high-quality observational time series dedicated to satellite ocean color product validation at a NW Atlantic coastal site (MVCO) Quantify major uncertainty sources in ocean color retrievals, and understand temporal and spatial variability of these uncertainties Quantify major uncertainty sources in ocean color retrievals, and understand temporal and spatial variability of these uncertainties Examine coastal validation (and/or calibration ) approaches Examine coastal validation (and/or calibration ) approaches Explore improvement of satellite ocean color atmospheric correction in coastal waters Explore improvement of satellite ocean color atmospheric correction in coastal waters

7 Cape Cod AERONET measurement sites along the US NE coastal region AERONET-OC: nLw(λ)

8 MVCO AERONET-OC Observations MVCO AERONET-OC Observations 2004-present ( the 1 st deployment in the US coast ) 2004-present ( the 1 st deployment in the US coast ) Spectral Channels: Spectral Channels: Operations by UNH/WHOI Operations by UNH/WHOI AERONET-OC (i.e. SeaPRISM ) MODIS-aqua 2004-200520062007- Version 5 Version 6 Reprocessing 2009 412nm412nm412nm412nm412nm 439nm442nm442nm443nm443nm 500nm490nm490nm488nm488nm 532nm531nm531nm 555nm555nm555nm551nm547nm 674nm668nm668nm667nm667nm 748nm748nm 870nm870nm870nm869nm869nm

9 MVCO Matchup Validation: MODIS-Aqua (Version 5) vs. AERONET-OC (Feng et al., 2008) nL w (412) underestimated Angstrom underestimated  a (870) overestimated N=65 Angstrom exp : AERONET-OC Angstrom exp: MODIS AOT(870) : AERONET-OC AOT(870) : MODIS nLw: AERONET-OC nLw: MODIS 2004-2005 AERONET-OC observations

10 MODIS-Aqua Version 5 validation summary #2: MODIS-AOT(870) is overestimated systematically MODIS-Angstrum Exp is underestimated significantly, #3: MODIS nL w (412) and nL w (443) is under-estimated significantly with 15- 20% negative values #1: MODIS- nLw @488, 531, and 551nm performs well. ? Motivations B) Is there any inprovement in MODIS Version 6 (Reprocessing 2009) ? A) Is there a linkage between #2 and #3 ?.

11 Major changes in Atmosperic Correction Approach SeaDAS Version 5 vs. SeaDAS Version 6 Version 5: 12 candidate aerosol models (Gordon and Wang, 1994) were used for AC lookup tables: As shown, these models not adequately represent observed aerosal properties Version 6 (reprocessing 2009) : – – 80 new aerosol models are now used in terms of observations of aerosol size distributions and single scattering albedos from various AERONET coastal and island sites ( Ahmad et al., 2010). – – In-water IOP models in NIRs are modified ( Bailey et al, 2010) – – New Vicarious calibratin coefficients

12 Validation of oean color nLw MODIS-V5/MODIS-V6 vs. AERONET-OC ( 2004-2009 AERONET-OC observations ) Validation of oean color nLw MODIS-V5/MODIS-V6 vs. AERONET-OC ( 2004-2009 AERONET-OC observations )

13 MVCO Matchup Mean nLw spectra MODIS-Aqua Version 5 MODIS-Aqua Version 6

14 Scatterplot of Matchups in nLw spectra MODIS-Aqua Version 5 MODIS-Aqua Version 6 ( Reprocessing 2009 )

15 nLw-412m MODISv5/v6 vs. AERONET-OC 15-day bin averaged 1:1

16 nLw-551nm MODISv5/v6 vs. AERONET-OC 1:1 15-day bin averaged

17 nLw-667nm MODIS v5/v6 vs. AERONET-OC

18 Validation of aerosol properties MODIS-V5 and MODIS-V6 vs. AERONET-OC ( 2004-2009 AERONET-OC observations ) Validation of aerosol properties MODIS-V5 and MODIS-V6 vs. AERONET-OC ( 2004-2009 AERONET-OC observations )

19 MODIS-V6 Scatterplot of Matchups Angs Exp(531,869) AOT (869) MODIS-V5

20 Angstrum Exp(531,869) MODIS v5/v6 vs. AERONET-OC

21 AOT(869) MODIS v5/v6 vs. AERONET-OC

22 Summary The AERONET-OC deployed at MVCO has provided a valuable long time series for coastal ocean color validation efforts. The Validation of the MODIS-Aqua ocean color products of Version 5 and Version 6 ( reprocessing 2009) in MVCO shows that the MODIS V6 products gives a significant improvement over the Verson 5 ones. Specifically: MODIS-retrieved aerosol propereties, i.e. Angstrum exponent (531,869) and AOT at 869nm, agree with AERONET measurements better in V6 than in V5 MODIS-retrieved nLw(412) is significantly improved in terms of  that the number of negative values decreases  that the mean mode of nLw(412) increases  that nLw(412) matches to measurements better

23 Future Work Keep it in a stable/normal operational mode, Extend the validation effort to inter-satellite ocean color products from MODIS, SeaWiFS, VIIRS… Explore the optimal atmosperic correction and the site vicarious calibration potential to minimize bias and uncertainties, Explore approaches to retrieve phytoplankton functional groups and/or size classes from AERONET-OC/Satellite nLw on the basis of comparison with the in situ time series

24 Acknowledgements the UNH/NOAA Center for Coastal Ocean Observation and Analysis (COOA). NASA’s Science Directorate – Ocean Biology Biogeochemistry program – New Investigator program – AquaTerro team project ( newly funded ) WHOI -MVCO tower operation team Data – NASA DAAC for MODIS-Aqua data

25 Thank you

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