75
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Long-term continuous monitoring of the diffuse attenuation coefficient at 490 nm from global oceans using combined SeaWiFS and MODISA data

, &
Pages 1539-1555 | Received 21 Oct 2023, Accepted 17 Jan 2024, Published online: 15 Feb 2024

References

  • Aas, E. 1987. “Two-stream irradiance model for deep waters.” Applied Optics 11 (11): 2095–2101. https://doi.org/10.1364/AO.26.002095.
  • Aiken, J., G. F. Moore, C. C. Trees, S. B. Hook, and D. K. Clark. 1995. “The SeaWiFS CZCS-Type Pigment Algorithm.” SeaWiFS Technical Report Series. 29. Greenbelt, MD: Goddard Space Flight Center.
  • Arata, K., Z.-H. Xiao-Hua, and M.-H. Radenac. 1996. “Dirunal Variability and Its Quantification of Subsurface Sound Scatterers in the Western Equatorial Pacific.” Journal of Oceanography 52 (5): 655–674. https://doi.org/10.1007/BF02238326.
  • Arnone, R., R. Vandermuelen, I. Soto, S. Ladner, M. Ondrusek, and H. Yang. 2017. “Diurnal Changes in Ocean Color Sensed in Satellite Imagery.” Journal of Applied Remote Sensing 11 (3): 032406. https://doi.org/10.1117/1.JRS.11.032406.
  • Austin, R. W., and T. Petzold. 1981. The Determination of the Diffuse Attenuation Coefficient of Sea Water Using the Coastal Zone Colour Scanner. 239–256. New York: Springer.
  • Bailey, S. W., and P. J. Werdell. 2006. “A Multi-Sensor Approach for the On-Orbit Validation of Ocean Color Satellite Data Products.” Remote Sensing of Environment 102 (1–2): 12–23. https://doi.org/10.1016/j.rse.2006.01.015.
  • Barale, V. 1987. “Remote Observations of the Marine Environment: Spatial Heterogeneity of the Mesoscale Ocean Color Field in CZCS Imagery of California Near-Coastal Waters.” Remote Sensing of Environment 22 (2): 173–186. https://doi.org/10.1016/0034-4257(87)90057-5.
  • Chen, J., T. W. Cui, J. Ishizaka, and C. S. Lin. 2014. “A Neural Network Model for Remote Sensing of Diffuse Attenuation Coefficient in Global Oceanic and Coastal Waters: Exemplifying the Applicability of the Model to the Coastal Regions in Eastern China Seas.” Remote Sensing of Environment 148:168–177. https://doi.org/10.1016/j.rse.2014.02.019.
  • Chen, J., X. He, X. Xing, Q. Xing, Z. Liu, and D. Pan. 2020. “An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products from Different Ocean Color Satellites.” Journal of Geophysical Research Oceans 125 (1): e2019JC015811. https://doi.org/10.1029/2019JC015811.
  • Chen, J., J. Ishizaka, L. Y. Zhu, T. W. Cui, J. Ishizaka, and Y. Ju. 2015. “A Neural Network Model for K(λ) Retrieval and Application to Global Kpar Monitoring.” PLoS One 10 (6): 0127511–0127526. https://doi.org/10.1371/journal.pone.0127514.
  • Chen, J., Z. P. Lee, C. M. Hu, and J. W. Wei. 2016. “Improving Satellite Data Products for Open Oceans with a Scheme to Correct the Residual Errors in Remote Sensing Reflectance.” Journal of Geophysical Research: Ocean 121 (6): 3866–3886. https://doi.org/10.1002/2016JC011673.
  • Clavano, W. R., E. Boss, and K. B. Lee. 2007. “Inherent Optical Properties of Non-Spherical Marine-Like Particles——From Theory to Observation.” Oceanography and Marine Biology 45:1–38.
  • Dall’olmo, G., A. A. Gitelson, D. C. Rundquist, B. Leavitt, T. Barrow, and J. C. Holz. 2005. “Assessing the Potential of SeaWifs and MODIS for Estimating Chlorophyll Concentration in Turbid Productive Waters Using Red and Near-Infrared Bands.” Remote Sensing of Environment 96 (2): 176–187. https://doi.org/10.1016/j.rse.2005.02.007.
  • Gordon, H. R. 2019. Physical Principles of Ocean Color Remote Sensing. Coral Gables, FL, USA: University of Miami. https://doi.org/10.33596/ppocrs-19.
  • Gordon, H. R., and K. J. Voss. 1999. “Normalized Water-Leaving Radiance.” In MODIS Algorithm Theoretical Basis Document (ATBD-17). 1–2 . NASA.
  • He, X., K. Stamnes, Y. Bai, W. Li, and D. Wang. 2018. “Effects of Earth Curvature on Atmospheric Correction for Ocean Color Remote Sensing.” Remote Sensing of Environment 209:118–133. https://doi.org/10.1016/j.rse.2018.02.042.
  • Hill, V. J., and R. C. Zimmerman. 2010. “Estimates of Primary Production by Remote Sensing in the Arctic Ocean: Assessment of Accuracy with Passive and Active Sensors.” Deep Sea Research Part I 57 (10): 1243–1254. https://doi.org/10.1016/j.dsr.2010.06.011.
  • Huang, C., and L. Yao. 2017. “Semi-Analytical Retrieval of the Diffuse Attenuation Coefficient in Large and Shallow Lakes from GOCI, a High Temporal-Resolution Satellite.” Remote Sensing 9 (8): 825. https://doi.org/10.3390/rs9080825.
  • Huck, P., B. Light, H. Eicken, and M. Haller. 2007. “Mapping Sediment-Laden Sea Ice in the Arctic Using AVHRR Remote Sensing Data: Atmospheric Correction and Determination of Reflectances as a Function of Ice Type and Sediment Load.” Remote Sensing of Environment 107 (3): 484–495. https://doi.org/10.1016/j.rse.2006.10.002.
  • IOCCG. 2006. “Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications.” Reports of the International Ocean Colour Coordinating Group No.5, Dartmouth, Canada: IOCCG.
  • Lee, Z. P., K. L. Carder, and R. A. Arnone. 2002. “Deriving Inherent Optical Properties from Water Color: A Multi-Band Quasi-Analytical Algorithm for Optically Deep Waters.” Applied Optics 41 (27): 5755–5772. https://doi.org/10.1364/AO.41.005755.
  • Lee, Z. P., K. P. Du, and R. A. Arnone. 2005. “A Model for the Diffuse Attenuation Coefficient of Downwelling Irradiance.” Journal of Geophysical Research 110 (C2): C02017. https://doi.org/10.1029/2004JC002275.
  • Lee, Z., C. Hu, S. Shang, K. Du, M. Lewis, R. Arnone, and R. Brewin. 2013. “Penetration of UV-Visible Solar Radiation in the Global Oceans: Insights from Ocean Color Remote Sensing.” Journal of Geophysical Research Oceans 118 (9): 4241–4255. https://doi.org/10.1002/jgrc.20308.
  • Masini, R. J., J. L. Cary, C. J. Simpson, and A. J. McComb. 1995. “Effects of Light and Temperature on the Photosynthesis of Temperate Meadow-Forming Seagrasses in Western Australia.” Aquatic Botany 49 (4): 239–254. https://doi.org/10.1016/0304-3770(94)00432-L.
  • Meister, G., B. A. Franz, E. J. Kwiatkowska, and C. McClain. 2012. “Correction to the Calibration of MODIS Aqua Ocean Color Bands Derived from SeaWiFS Data.” IEEE Transaction on Geoscience and Remote Sensing 50 (1): 310–319. https://doi.org/10.1109/TGRS.2011.2160552.
  • Mélin, F. 2016. “Impact of Inter-Mission Differences and Drifts on Chlorophyll-A Trend Estimates.” International Journal of Remote Sensing 37 (10): 2061–2079. https://doi.org/10.1080/01431161.2016.1168949.
  • Mélin, F., G. Sclep, T. Jackson, and S. Sathyendranath. 2016. “Uncertainty Estimates of Remote Sensing Reflectance Derived from Comparison of Ocean Color Satellite Data Sets.” Remote Sensing of Environment 177:107–124. https://doi.org/10.1016/j.rse.2016.02.014.
  • Mobley, C. D. 1994. Light and Water: Radiative Transfer in Natural Waters. New York: Academic Press.
  • Mueller, J. L. 2000. “SeaWiFS Algorithm for the Diffuse Attenuation Coefficient, Kd(490), Using Water-Leaving Radiance at 490 and 555 Nm.” SeaWiFS Postlaunch Calibration and Validation Analysis: Part II 3 (11): 24–27.
  • Mueller, J. L., C. O. Davis, R. A. Arnone, R. Frouin, K. L. Carder, Z. P. Lee, R. G. Steward, S. Hooker, C. D. Mobley, and C. R. McClain. 2003. “Above-water radiance and remote sensing measurement and analysis protocols.” Ocean Optics Protocols for Satellite Ocean-Color Sensor Validation, Revision 4, Vol. III: Radiometric Measurements and Data Analysis Protocols. 21162. NASA Tech Memo.
  • Mueller, J. L., and G. S. Fargion. 2002. “Ocean optics protocols for satellite ocean color sensor validation.” SeaWiFS Technical Report Series, Revision 3 Part II. 171–179.
  • Mueller, J. L., and C. C. Trees. 1997. “Revised SeaWiFS Prelaunch Algorithm for Diffuse Attenuation Coefficient K(490).” NASA SeaWiFS Technical Report Series, TM-104566., 41, 18–21.
  • Neveux, J., C. Dupouy, J. Blanchot, A. Le Bouteiller, M. R. Landry, and S. L. Brown. 2003. “Diel Dynamics of Chlorophylls in High-Nutrient, Low-Chlorophyll Waters of the Equatorial Pacific (180°): Interactions of Growth, Grazing, Physiological Responses, and Mixing.” Journal of Geophysical Research Oceans 108 (C12). https://doi.org/10.1029/2000JC000747.
  • Pahlevan, N., S. Sarkar, and B. A. Franz. 2016. “Uncertainties in Coastal Ocean Color Products: Impacts of Spatial Sampling.” Remote Sensing of Environment 181:14–26. https://doi.org/10.1016/j.rse.2016.03.022.
  • Pedersen, T. M., C. L. Gallegos, and S. L. Nielsen. 2012. “Influence of Near-Bottom Re-Suspended Sediment on Benthic Light Availability.” Estuarine, Coastal and Shelf Science 106:93–101. https://doi.org/10.1016/j.ecss.2012.04.027.
  • Pirtle-Levy, R., J. M. Grebmeier, L. W. Cooper, and L. Larsen. 2009. “Chlorophyll a in Arctic Sediments Implies Long Persistence of Algal Pigments.” Deep-Sea Research 56 (17): 1326–1338. https://doi.org/10.1016/j.dsr2.2008.10.022.
  • Prasanth, R., V. Vijith, and P. N. Vinayachandran. 2023. “Formation, Maintenance and Diurnal Variability of Subsurface Chlorophyll Maximum During the Summer Monsoon in the Southern Bay of Bengal.” Progress in Oceanography 212:102974. https://doi.org/10.1016/j.pocean.2023.102974.
  • Sathyendranath, S., R. J. W. Brewin, C. Brockmann, V. Brotas, B. Calton, A. Chuprin, P. Cipollini, et al. 2019. An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI). Basel, Switzerland: Sensors.
  • Saulquin, B., A. Hamdi, F. Gohin, J. Populus, A. Mangin, and O. F. d’Andon. 2013. “Estimation of the Diffuse Attenuation Coefficient KdPar Using MERIS and Application to Seabed Habitat Mapping.” Remote Sensing of Environment 128:224–233. https://doi.org/10.1016/j.rse.2012.10.002.
  • Savtchenko, A., D. Ouzounov, S. Ahmad, J. Acker, G. Leptoukh, J. Koziana, and D. Nickless. 2004. “Terra and Aqua MODIS Products Available from NASA GES DAAC.” Advances in Space Research 34 (4): 710–714. https://doi.org/10.1016/j.asr.2004.03.012.
  • Serreze, M. C., M. M. Holland, and J. Stroeve. 2007. “Perspectives on the Arctic’s Shrinking Sea-Ice Cover.” Science 315:1533–1536. https://doi.org/10.1126/science.1139426.
  • Suzuki, L., and C. H. Johnson. 2010. “Algae Know the Time of Day: Circadian and Photoperiodic Programs.” Journal of Phycology 37 (6): 933–942. https://doi.org/10.1046/j.1529-8817.2001.01094.x.
  • Werdel P. J., and S. W., Bailey. 2005. “An improved bio-optical data set for ocean color algorithm development and satellite data product variation.” Remote Sensing of Environment 98 (1): 122–140. https://doi.org/10.1016/j.rse.2005.07.001.
  • Wu, Y. T., S. Platt, T. Sathyendranath, and T. Platt. 2007. “The Impact of Bio-Optical Heating on the Properties of the Upper Ocean: A Sensitivity Study Using a 3-D Circulation Model for the Labrador Sea.” Deep Sea Research Part II 54 (23–26): 2630–2642. https://doi.org/10.1016/j.dsr2.2007.08.019.
  • Xing, X., F. Zhang, E. Boss, and J. Chai. 2020. “Evaluation of ocean color remote sensing algorithms for diffuse attenuation coefficients and optical depths with data collected on BGC-Argo floats.” Remote Sensing 12 (15): 2367. https://doi.org/10.3390/rs12152367.
  • Yamamoto, S., C. Michel, M. Gosselin, S. Demers, M. Fukuchi, and S. Taguchi. 2014. “Photosynthetic Characteristics of Sinking Microalgae Under the Sea Ice.” Polar Science 8 (4): 385–396. https://doi.org/10.1016/j.polar.2014.1007.1007.
  • Zhang, C., C. Hu, S. Shang, F. E. Müller-Karger, Y. Li, M. Dai, and B. Huang. 2006. “Bridging Between SeaWifs and MODIS for Continuity of Chlorophyll-A Concentration Assessments off Southeastern China.” Remote Sensing of Environment 102 (3–4): 250–263. https://doi.org/10.1016/j.rse.2006.02.015.
  • Zhao, J., B. Barnes, N. Melo, D. English, B. Lapointe, F. E. Muller-Karger, B. Schaeffer, and C. M. Hu. 2013. “Assessment of Satellite-Derived Diffuse Attenuation Coefficients and Euphotic Depths in South Florida Coastal Waters.” Remote Sensing of Environment 131:38–50. https://doi.org/10.1016/j.rse.2012.12.009.
  • Zibordi, G., F. Mélin, and J.-F. Berthon. 2012. “Intra-Annual Variations of Biases in Remote Sensing Primary Ocean Color Products at a Coastal Site.” Remote Sensing of Environment 124:627–636. https://doi.org/10.1016/j.rse.2012.06.016.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.