Mesoscale variability of Sea-viewing Wide Field-of-view Sensor (SeaWiFS) satellite ocean color: Global patterns and spatial scales

Journal of Geophysical Research: Oceans

Volumn 108, Issue C2, 1998, Pages

  Doney, Scott C ^a   Glover, David M ^b   McCue, Scott J ^b   Fuentes, Montserrat ^c  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b WOODS HOLE OCEANOGRAPHIC INSTITUTION   (United States)

^c NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84957089256     PISSN: 21699275     EISSN: 21699291     Source Type: Journal    
DOI: 10.1029/2001JC000843     Document Type: Article

References (47)

1. Abbott, M. R., and, R. M. Letelier, Decorrelation scales of chlorophyll as observed from bio-optical drifters in the California current, Deep Sea Res., Part II, 45, 1639-1667, 1998.
2. Abbott, M. R., and, P. M. Zion, Spatial and temporal variability of phytoplankton pigment off northern California during coastal ocean dynamics experiment, J. Geophys. Res., 92, 1745-1755, 1987.
3. Abbott, M. R., K. H. Brink, C. R. Booth, D. Blasco, M. S. Swenson, C. O. Davis, and, L. A. Codispoti, Scales of variability of bio-optical properties as observed from near-surface drifters, J. Geophys. Res., 100, 13,345-13,367, 1995.
4. Abraham, E. R., The generation of plankton patchiness by turbulent stirring, Nature, 391, 577-580, 1998.
5. Campbell, J. W., The lognormal distribution as a model for bio-optical variability in the sea. J. Geophys. Res., 100, 13,237-13,254, 1995.
6. Chelton, D. B., and, M. G. Schlax, Estimation of time averages from irregularly spaced observations: With application to coastal zone color scanner estimates of chlorophyll concentration, J. Geophys. Res., 96, 14,669-14,692, 1991.
7. Chelton, D. B., R. A. deSzoeke, M. G. Schlax, K. E. Naggar, and, N. Siwertz, Geographical variability of the first baroclinic Rossby radius of deformation, J. Phys. Oceanogr., 28, 433-460, 1998.
8. Clark, I., Practical Geostatistics, Elsevier Sci., New York, 1979.
9. Cressie, N. A. C., Statistics for Spatial Data, John Wiley, New York, 1993.
10. Cressie, N. A. C., and, D. M. Hawkins, Robust estimation of the variogram, 1, J. Int. Assoc. Math. Geol., 12, 115-125, 1980.
11. Davis, J. C., Statistics and Data Analysis in Geology, John Wiley, New York, 1986.
12. Denman, K. L., and, M. R. Abbott, Time evolution of surface chlorophyll patterns from cross-spectrum analysis of satellite color, J. Geophys. Res., 93, 6789-6998, 1988.
13. Denman, K. L., and, M. R. Abbott, Time scales of pattern evolution from cross-spectrum analysis of advanced very high resolution radiometer and coastal zone color scanner imagery, J. Geophys. Res., 99, 7433-7442, 1994.
14. Denman, K. L., and, A. E. Gargett, Biological-physical interactions in the upper ocean: The role of vertical and small scale transport processes, Annu. Rev. Fluid Mech., 27, 225-255, 1995.
15. Fasham, M. J. R., The statistical and mathematical analysis of plankton patchiness, Oceanogr. Mar. Biol. Annu. Rev., 16, 43-79, 1978.
16. Fuentes, M., S. C. Doney, D. M. Glover, and, S. J. McCue, Spatial structure of the SeaWiFS ocean color data for the North Atlantic Ocean, in Studies in the Atmospheric Sciences, Lecture Notes in Statistics, vol. 144, edited by, M. Berliner, D. Nychka, and, T. Hoar, pp. 153-171, Springer-Verlag, New York, 2000.
17. Gandin, L. S., Objective Analysis of Meteorological Fields, translated by the Israel Program for Scientific Translations, Jerusalem, 1965, Gidrometeorologicheskoe Izdatel'stvo (GIMIZ), Leningrad, 1963.
18. Garçon, V. C., A. Oschlies, S. C. Doney, D. McGillicuddy, and, J. Waniek, The role of mesoscale variability on plankton dynamics, Deep Sea Res., Part II, 48, 2199-2226, 2001.
19. Gower, J. F. R., K. L. Denman, and, R. J. Holyer, Phytoplankton patchiness indicates the fluctuation spectrum of oceanic mesoscale structure, Nature, 288, 157-159, 1980.
20. Haury, L. R., J. A. McGowan, and, P. H. Wiebe, Patterns and processes in the time-space scales of plankton distributions, in Spatial Patterns in Plankton Communities, pp. 277-327, Plenum, New York, 1978.
21. Hooker, S. B., and, W. E. Esaias, An overview of the SeaWiFS project, Eos Trans. AGU, 74, 241-246, 1993.
22. Hu, C., K. L. Carder, and, F. E. Muller-Karger, Atmospheric correction of SeaWiFS imagery: Assessment of the use of alternative bands, Appl. Opt., 39, 3573-3581, 2000 a.
23. Hu, C., K. L. Carder, and, F. E. Muller-Karger, How precise are SeaWiFS ocean color estimates? Implications of digitization-noise errors, Remote Sens. Environ., 76, 239-249, 2000 b.
24. Journel, A. G., and, Ch. J. Huijbregts, Mining Geostatistics, 600 pp., Academic, San Diego, Calif., 1978.
25. Krauss, W., R. Doscher, A. Lehmann, and, T. Viehoff, On eddy scales in the eastern and northern North Atlantic Ocean as a function of latitude, J. Geophys. Res., 95, 18,049-18,056, 1990.
26. Mackas, D. L., K. L. Denman, and, M. R. Abbott, Plankton patchiness: Biology in the physical vernaculer, Bull. Mar. Sci., 37, 652-674, 1985.
27. Mahadevan, A., and, D. Archer, Modeling the impact of fronts and mesoscale circulation on the nutrient supply and biogeochemistry of the upper ocean, J. Geophys. Res., 105, 1209-1255, 2000.
28. Matheron, G., The theory of regionalized variables and its applications, Fontainebleau Cah. Cent. Morphol., 5, 1971.
29. McClain, C. R., M. L. Cleave, G. C. Feldman, W. W. Gregg, S. B. Hooker, and, N. Kuring, Science quality SeaWiFS data for global biosphere research, Sea Technol., 39, 10-14, 1998.
30. McGillicuddy, D. J. Jr., V. K. Kosnyrev, J. P. Ryan, and, J. A. Yoder, Covariation of mesoscale ocean color and sea surface temperature patterns in the Sargasso Sea, Deep Sea Res., Part II, 48, 1823-1836, 2001.
31. Murtugudde, R. S., S. R. Signorini, J. R. Christian, A. J. Busalacchi, C. R. McClain, and, J. Picaut, Ocean color variability of the tropical Indo-Pacific basin observed by SeaWiFS during 1997-1998, J. Geophys. Res., 104, 18,351-18,366, 1999.
32. O'Reilly, J. E., S. Maritorena, B. G. Mitchell, D. A. Siegel, K. L. Carder, S. A. Garver, M. Kahru, and, C. McClain, Ocean color chlorophyll algorithms for SeaWiFS, J. Geophys. Res., 103, 24,937-24,953, 1998.
33. Okubo, A., Diffusion and Ecological Problems: Mathematical Models, Springer-Verlag, New York, 1980.
34. Oschlies, A., and, V. Garçon, An eddy-permitting coupled physical-biological model of the North Atlantic, 1, Sensitivity to advection numerics and mixed layer physics, Global Biogeochem. Cycles, 13, 135-160, 1999.
35. Press, W. H., S. A. Teukolsky, W. T. Vetterling, and, B. P. Flannery, Numerical Recipes in Fortran, 2nd edn., 963 pp., Cambridge Univ. Press, New York, 1992.
36. Robinson, W. D., G. M. Schmidt, C. R. McClain, and, P. J. Werdell, Changes made in the operational SeaWiFS processing, in SeaWiFS Postlaunch Calibration and Validation Analyses, Part 2, SeaWiFS Postlaunch Technical Report Series, vol. 10, edited by, C. McClain, et al., pp. 12-28, 2000.
37. Smith, R. C., X. Zhang, and, J. Michaelsen, Variability of pigment biomass in the California Current system as determined by satellite imagery, 1, Spatial variability, J. Geophys. Res., 93, 10,863-10,882, 1988.
38. Smith, R. D., M. E. Maltrud, F. O. Bryan, and, M. W. Hecht, Numerical simulation of the North Atlantic at 1/10°, J. Phys. Oceanogr., 30, 1532-1561, 2000.
39. Stammer, D., Global characteristics of ocean variability estimated from regional TOPEX/POSEIDON altimeter measurements, J. Phys. Oceanogr., 27, 1743-1769, 1997.
40. Steele, J. H., Spatial Patterns in Plankton Communities, Plenum, New York, 1978.
41. U.S. Joint Global Ocean Flux Study (JGOFS), Report of the U.S. JGOFS Workshop on Modeling and Data Assimilation, Plann. Rep. No. 14, Mark R. Abbott, Chairman, 28 pp., U.S. JGOFS Plann. Off., Woods Hole, Mass., 1992.
42. Washburn, L., B. M. Emery, B. H. Jones, and, D. G. Ondercin, Eddy stirring and phytoplankton patchiness in the subartic North Atlantic in late summer, Deep Sea Res., Part I, 45, 1411-1439, 1998.
43. Yaglom, A. M., Some classes of random fields in n-dimensional space, related to stationary random processes, Theory Probab. Appl., 2, 273-320, 1957.
44. Yoder, J. A., An overview of temporal and spatial patterns in satellite-derived chlorophyll-a imagery and their relation to ocean processes, in Satellites, Oceanography and Society, edited by, D. Halpern, pp. 225-238, 2000.
45. Yoder, J. A., C. R. McClain, J. O. Blanton, and, L.-Y. Oey, Spatial scales in CZCS-chlorophyll imagery of the southeastern U.S. continental shelf, Limnol. Oceanogr., 32, 929-941, 1987.
46. Yoder, J. A., C. R. McClain, G. C. Feldman, and, W. E. Esaias, Annual cycles of phytoplankton chlorophyll concentrations in the global ocean: A satellite view, Global Biogeochem. Cycles, 7, 181-193, 1993 a.
47. Yoder, J. A., J. Aiken, R. N. Swift, F. E. Hoge, and, P. M. Stegmann, Spatial variability in near-surface chlorophyll a fluorescence measured by the Airborne Oceanographic Lidar (AOL), Deep Sea Res., Part II, 40, 37-53, 1993 b.