Comparison of the Black Sea Chlorophyll-a Algorithms for SeaWiFS and MODIS Instruments
https://doi.org/10.7868/S2073667318030085
Abstract
We compared the global and two regional chlorophyll-a algorithms for SeaWiFS and MODIS-Aqua/Terra instruments in the Black Sea based on in situ measurements of the chlorophyll-a concentration (below Са) in the upper sea layer during 1997—2015. Comparison results for three SeaWiFS, MODIS-Aqua and MODIS-Terra instruments showed: 1) the standard product NASA overestimates Са throughout the range of variability of Са in the Black Sea, the average value of the relative error is about 300 %; 2) the product of the Shirshov’s Institute of Oceanology has the same slope in the logarithm axises {Са(in situ), Са(algorithm)}, like the standard NASA product, but due to the shift, in the Са range from 0.2 to 0.9 mg∙m−3 is better, in terms of relative error (~80 %) corresponds to observations; 3) the product of the Marine Hydrophysical institute gives the smallest relative error (~40 %), but it has a high sensitivity to the quality of the remote spectral reflectance (RRS), that is, to the ratio of RRS in two bands from 480—560 nm.
About the Authors
V. V. Suslin
Marine Hydrophysical Instutute RAS
Russian Federation
Russian Federation
Sevastopol
T. Ya. Churilova
Kovalevsky Institute of Marine Biological Research RAS
Russian Federation
Russian Federation
Sevastopol
M. E. Lee
Marine Hydrophysical Instutute RAS
Russian Federation
Russian Federation
Sevastopol
S. Moncheva
Institute Oceanology BAS
Bulgaria
Bulgaria
Varna
Z. Z. Finenko
Kovalevsky Institute of Marine Biological Research RAS
Russian Federation
Russian Federation
Sevastopol
References
1. Finenko Z. Z. et al. Estimation of phytoplankton productivity in the sea based on satellite data. Doklady Biological Sciences. 2010, 432, 1, 233—236.
2. Dorofeev V. et al. The My Ocean Black Sea coupling of dynamics and ecosystem. Mercator Ocean Quarterly Newsletter. January 2011, 40, 26—35.
3. O'Reilly J. E. et al. Sea WiFSPostlaunch Calibration and Validation Analyses, Part 3. NASA Tech. Memo. 2000-206892. 2000, 11, S.B. Hooker and E.R. Firestone, Eds., NASA Goddard Space Flight Center. 49 p.
4. Kopelevich O. V. et al. Application of SeaWiFS data for studing variability of bio-optical characteristics in the Barents, Black and Caspian Seas. Deep-Sea Research. Part II: Tropical Studies in Oceanography. 2004, 51, 10—11, 1063—1091.
5. Suslin V., Churilova T. A regional algorithm for separating light absorption by chlorophyll-a and coloured detrital matter in the Black Sea, using 480—560 nm bands from ocean colour scanners. International Journal of Remote Sensing. 2016, 37, 18, 4380—4400. http://dx.doi.org/10.1080/01431161.2016.1211350.
6. Suetin V. S. et al. Analysis of the variability of the optical properties of water in the Black Sea in summer 1998 according to the data of SeaWiFS satellite instrument. Physical Oceanography. 2002, 12(6), 331—340.
7. Suetin V. S. et al. Improved interpretation of the data of observations of the black sea by a SeaWiFS satellite instrument in autumn 1998. Physical Oceanography. 2008, 18, 2, 106—115.
8. Suslin V. V. et al. The SeaWiFS algorithm of chlorophyll a in the Black Sea. Marine Ecological Journal. 2008, VII, 2, 24—42 (in Russian).
9. Pope R. M., Fry E. S. Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements. Appl. Opt. 1997, 36, 8710—8723.
10. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. SeaBASS. URL: https://seabass.gsfc.nasa.gov/search (Date of access: 14.10.2017).
11. Oguz T., Ediger D. Comparision of in situ and satellite-derived chlorophyll pigment concentrations, and impact of phytoplankton bloom on the suboxic layer structure in the western Black Sea during May-June 2001. Deep-Sea Research II. 2006, 53, 1923—1933.
12. Mitchell B. G. et al. Determination of spectral absorption coefficients of particles, dissolved materials and phytoplankton for discrete water samples. Ocean Optics Protocols for Satellite Ocean Color Sensor Validation, 4(4), Inherent Optical Properties: Instruments, Characterization, Field Measurements and Data Analysis Protocols. NASA Tech. Rep. 2003-211621, Goddard Space Flight Cent., Greenbelt, Md. 2003, 39—64. URL: https://oceancolor.gsfc.nasa.gov/docs/technical/protocols_ver4_voliv.pdf (Date of access: 12.09.2017).
13. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group; (2014): Sea-viewing Wide Fieldofview Sensor (SeaWiFS) Ocean Color Data, NASA OB.DAAC. http://doi.org/10.5067/ORBVIEW-2/SEAWIFS_OC.2014.0.
14. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Moderate-resolution Imaging Spectroradiometer (MODIS) Aqua Ocean Color Data; 2014 Reprocessing. NASA OB.DAAC, Greenbelt, MD, USA. doi: 10.5067/AQUA/MODIS_OC.2014.0.
15. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Moderate-resolution Imaging Spectroradiometer (MODIS) Terra Ocean Color Data; 2014 Reprocessing. NASA OB.DAAC, Greenbelt, MD, USA. doi: 10.5067/TERRA/MODIS_OC.2014.0.
16. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Remote Sensing Reflectance (Rrs). URL: https://oceancolor.gsfc.nasa.gov/atbd/rrs/ (Date of access: 10.05.2017).
17. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Chlorophyll a (chlor_a)/Algorithm Description, URL: https://oceancolor.gsfc.nasa.gov/atbd/chlor_a/ (Date of access: 14.10.2017).
18. NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Ocean Biology Processing Group. Level 2 Ocean Color Flags; flags which will exclude data are listed under «L3 Mask Default». URL: https://oceancolor.gsfc.nasa.gov/atbd/ocl2flags/ (Date of access: 14.10.2017).
19. Suslin V. V., Gurov K. I. Impact of optically active layers in the Black Sea on the quality of retrieved ocean color products: modeling and satellite observations. Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104663K (30 November 2017). doi: 10.1117/12.2287386.
20. Kalinskaya D. V., Suslin V. V. Simple Method of Determination of Ground-Based Aerosol Sources Using Back Trajectory Analysis Results. Fundamentalnaya i Prikladnaya Gidrofizika. 2015, 8, 1, 59—67 (in Russian).
Review
For citations:
Suslin V.V., Churilova T.Ya., Lee M.E., Moncheva S., Finenko Z.Z. Comparison of the Black Sea Chlorophyll-a Algorithms for SeaWiFS and MODIS Instruments. Fundamental and Applied Hydrophysics. 2018;11(3):64-72. (In Russ.) https://doi.org/10.7868/S2073667318030085
Views:
164
Email this article 