Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean
Source abstract
Abstract
A Global Ocean Carbon Algorithm Database (GOCAD) has been developed from over 500 oceanographic field campaigns conducted worldwide over the past 30 years including in situ reflectances and coincident satellite imagery, multi- and hyperspectral Chromophoric Dissolved Organic Matter (CDOM) absorption coefficients from 245–715 nm, CDOM spectral slopes in eight visible and ultraviolet wavebands, dissolved and particulate organic carbon (DOC and POC, respectively), and inherent optical, physical, and biogeochemical properties. From field optical and radiometric data and satellite measurements, several semi-analytical, empirical, and machine learning algorithms for retrieving global DOC, CDOM, and CDOM slope were developed, optimized for global retrieval, and validated. Global climatologies of satellite-retrieved CDOM absorption coefficient and spectral slope based on the most robust of these algorithms lag seasonal patterns of phytoplankton biomass belying Case 1 assumptions, and track terrestrial runoff on ocean basin scales. Variability in satellite retrievals of CDOM absorption and spectral slope anomalies are tightly coupled to changes in atmospheric and oceanographic conditions associated with El Niño Southern Oscillation (ENSO), strongly covary with the multivariate ENSO index in a large region of the tropical Pacific, and provide insights into the potential evolution and feedbacks related to sea surface dissolved carbon in a warming climate. Further validation of the DOC algorithm developed here is warranted to better characterize its limitations, particularly in mid-ocean gyres and the southern oceans.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Marine and coastal ecosystems · Atmospheric and Environmental Gas Dynamics · Methane Hydrates and Related Phenomena
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
NASA Goddard Space Flight Center (USRA), Greenbelt, MD 20771, USA
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
University of Texas at Dallas, Richardson, TX 75080, USA
Funding
NASA ROSES Science of Aqua and Terra – MODIS project
References (73)
Show source-provided references
1. Atmospheric carbon dioxide and the ocean10.1038/365119a0 ↗
2. Hedges, J.I. (2002). Why dissolved organics matter. Biogeochem. Mar. Dissolved Org. Matter, 1–33.10.1016/B978-012323841-2/50003-8 ↗
3. Belanger, S., Babin, M., Xie, H., Krotkov, N., Larouche, P., and Vincent, W.F. (2006, January 9–13). Cdom Photooxidation in the Arctic Coastal Waters: New Approach Using Satellite Information and Implications of Climate Change. Proceedings of the Ocean Optics XVIII, Montreal, QC, Canada.
4. Marine humic and fulvic acids: Their effects on remote sensing of chlorophyll10.4319/lo.1989.34.1.0068 ↗
5. Uncertainties of optical parameters and their propagations in an analytical ocean color inversion algorithm10.1364/AO.49.000369 ↗
6. Occurrence of organic colloids in the stratified estuary of the krka river (Croatia)10.1016/0272-7714(95)90016-0 ↗
7. Hansell, D.A., and Carlson, C.A. (2002). Chromophoric dom in the coastal environment. Biogeochemistry of Marine Dissolved Organic Matter, Academic Press.
8. Nelson, N.B., and Siegel, D.A. (2002). Chromophoric dom in the open ocean. Biogeochem. Mar. Dissolved Org. Matter, 547–578.10.1016/B978-012323841-2/50013-0 ↗
9. Modeling the spectral shape of absorption by chromophoric dissolved organic matter10.1016/j.marchem.2004.02.008 ↗
10. Aurin, D.A., Dierssen, H.M., Twardowski, M.S., and Roesler, C.S. (2010). Optical complexity in long island sound and implications for coastal ocean color remote sensing. J. Geophys. Res. Oceans, 115.10.1029/2009JC005837 ↗
11. Del Vecchio, R., and Subramaniam, A. (2004). Influence of the amazon river on the surface optical properties of the western tropical north atlantic ocean. J. Geophys. Res. Oceans, 109.10.1029/2004JC002503 ↗
12. Sauer, M.J., and Roesler, C.S. (2006, January 9–13). Seasonal and spatial cdom variability in the gulf of maine. Proceedings of the Ocean Optics XVIII, Montreal, QC, Canada.
13. Siegel, D.A., Maritorena, S., Nelson, N.B., Hansell, D.A., and Lorenzi-Kayser, M. (2002). Global distribution and dynamics of colored dissolved and detrital organic materials. J. Geophys. Res. Oceans, 107.10.1029/2001JC000965 ↗
14. Inherent optical properties of the central arctic surface waters10.1029/2000JC000382 ↗
15. MODIS Ocean Science Team Algorithm Theoretical Basis Document
16. Analysis of variations in ocean color10.4319/lo.1977.22.4.0709 ↗
17. Lee, Z. (2006). Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications, International Ocean–Colour Coordinating Group.
18. Photobleaching of chromophoric dissolved matter in natural waters: Kinetics and modeling10.1016/S0304-4203(02)00036-1 ↗
19. Absorption spectral slopes and slope ratios as indicators of molecular weight, source, and photobleaching of chromophoric dissolved organic material10.4319/lo.2008.53.3.0955 ↗
20. Behavior of the optical properties of coloured dissolved organic matter under conservative mixing10.1016/S0272-7714(03)00003-9 ↗
21. Del Castillo, C.E., and Miller, R.L. (2011). Horizontal and vertical distributions of colored dissolved organic matter during the southern ocean gas exchange experiment. J. Geophys. Res. Oceans, 116.10.1029/2010JC006781 ↗
22. Optical properties and signatures of chromophoric dissolved organic matter (CDOM) in danish coastal waters10.1006/ecss.2000.0645 ↗
23. Investigating the sources and structure of chromophoric dissolved organic matter (CDOM) in the north pacific ocean (NPO) utilizing optical spectroscopy combined with solid phase extraction and borohydride reduction10.1016/j.marchem.2018.05.005 ↗
24. Twardowski, M.S., and Donaghay, P.L. (2002). Photobleaching of aquatic dissolved materials: Absorption removal, spectral alteration, and their interrelationship. J. Geophys. Res. Oceans, 107.10.1029/1999JC000281 ↗
25. Estimation of colored dissolved organic matter and salinity fields in case 2 waters using seawifs: Examples from florida bay and florida shelf10.1007/BF02701966 ↗
26. Calculation of uv attenuation and colored dissolved organic matter absorption spectra from measurements of ocean color10.1029/2000JC000514 ↗
27. Seasonal and nonseasonal variability of satellite–derived chlorophyll and colored dissolved organic matter concentration in the california current10.1029/1999JC000094 ↗
28. Algorithm development and validation for satellite–derived distributions of doc and cdom in the u.S. Middle atlantic bight
29. A current review of empirical procedures of remote sensing in inland and near–coastal transitional waters10.1080/01431161.2010.512947 ↗
30. Chromophoric dissolved organic matter and dissolved organic carbon from sea–viewing wide field–of–view sensor (SEAWIFS), moderate resolution imaging spectroradiometer (MODIS) and meris sensors: Case study for the northern gulf of mexico10.3390/rs5031439 ↗
31. Shanmugam, P. (2011). A new bio-optical algorithm for the remote sensing of algal blooms in complex ocean waters. J. Geophys. Res. Oceans, 116.10.1029/2010JC006796 ↗
32. An optical model for the remote sensing of coloured dissolved organic matter in coastal/ocean waters10.1016/j.ecss.2011.05.010 ↗
33. An improved in situ bio–optical data set for ocean color algorithm development and satellite data product validation10.1016/j.rse.2005.07.001 ↗
34. Lee, Z. (2006). Chapter 2: Synthetic and in situ data sets for algorithm testing. Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms and Applications, International Ocean Colour Coordinating Group.
35. A semi–analytic radiance model of ocean color10.1029/JD093iD09p10909 ↗
36. Computed relationships between the inherent and apparent optical properties of a flat homogenous ocean10.1364/AO.14.000417 ↗
37. Inherent optical property inversion of ocean color spectra and its biogeochemical interpretation. 1. Time series from the sargasso sea10.1029/96JC03243 ↗
38. Effect of spectral band numbers on the retrieval of water column and bottom properties from ocean color data10.1364/AO.41.002191 ↗
39. In–situ phytoplankton absorption, fluorescence emission, and particulate backscattering spectra determined from reflectance10.1029/95JC00455 ↗
40. An algorithm to retrieve absorption coefficient of chromophoric dissolved organic matter from ocean color10.1016/j.rse.2012.10.013 ↗
41. A synthesis of light absorption properties of the pan–arctic ocean: Application to semi–analytical estimates of dissolved organic carbon concentrations from space
42. Review of constituent retrieval in optically deep and complex waters from satellite imagery10.1016/j.rse.2011.11.013 ↗
43. A model for remote estimation of ultraviolet absorption by chromophoric dissolved organic matter based on the global distribution of spectral slope10.1016/j.rse.2013.05.009 ↗
44. Variability in specific–absorption properties and their use in a semi–analytical ocean colour algorithm for meris in north sea and western english channel coastal waters10.1016/j.rse.2011.11.019 ↗
45. Zhu, W., Yu, Q., Tian, Y.Q., Chen, R.F., and Gardner, G.B. (2011). Estimation of chromophoric dissolved organic matter in the mississippi and atchafalaya river plume regions using above-surface hyperspectral remote sensing. J. Geophys. Res. Oceans, 116.10.1029/2010JC006523 ↗
46. On the role of colloidal particles in light scattering in the ocean10.4319/lo.2005.50.5.1581 ↗
47. The global distribution and dynamics of chromophoric dissolved organic matter10.1146/annurev-marine-120710-100751 ↗
48. Evaluation of specific ultraviolet absorbance as an indicator of the chemical composition and reactivity of dissolved organic carbon10.1021/es030360x ↗
49. Hyperspectral temperature and salt dependencies of absorption by water and heavy water in the 400–750 nm spectral range10.1364/AO.45.005294 ↗
50. Microscale quantification of the absorption by dissolved and particulate material in coastal waters with an ac–910.1175/1520-0426(1999)016<0691:MQOTAB>2.0.CO;2 ↗
51. Jaffe, J.S. (1994). Scattering error correction of reflecting–tube absorption meters. Ocean optics XII, International Society for Optics and Photonics.
52. Mitchell, B.G., Stramska, M., and Wieland, J. (2003). Determination of spectral coefficients of particles, dissolved material and phytoplankton for discrete water samples, Ocean Optics Protocols for Satellite Ocean Color Sensor Validation.
53. Mueller, J.L. (2003). Inherent optical properties: Instruments, characterizations, field measurements and data analysis protocols, Ocean Optics Protocols for Satellite Ocean Color Sensor Validation.
54. The solar spectral irradiance from 200 to 2400 nm as measured by the solspec spectrometer from the atlas and eureca missions10.1023/A:1024048429145 ↗
55. A multi–sensor approach for the on–orbit validation of ocean color satellite data products10.1016/j.rse.2006.01.015 ↗
56. Aurin, D.A., and Mannino, A. (2012, January 8–12). A database for developing global ocean color algorithms for colored dissolved organic material, cdom slope, and dissolved organic carbon. Proceedings of the Ocean Optics XXI, Glasgow, Scotland.
57. Summarizing multiple aspects of model performance in a single diagram10.1029/2000JD900719 ↗
58. Summary diagrams for coupled hydrodynamic–ecosystem model skill assessment10.1016/j.jmarsys.2008.05.014 ↗
59. Carlson, C.A., Hansell, D.A., and Tamburini, C. (2011). Doc persistence and its fate after export within the ocean interior. Microb. Carbon Pump Ocean, 57–59.
60. Biogeochemistry of total organic carbon and nitrogen in the sargasso sea: Control by convective overturn10.1016/S0967-0645(00)00153-3 ↗
61. Random forests10.1023/A:1010933404324 ↗
62. Mathieu, P.P., and Aubrecht, C. (2018). Machine learning applications for earth observation. Earth Observation Open Science and Innovation, Springer.10.1007/978-3-319-65633-5 ↗
63. Stuart, V. (2006). Chapter 10: The quasi–analytical algorithm. Remote Sensing of Inherent Optical Properties: Fundamentals, Tests of Algorithms, and Applications, IOCCG.
64. Deriving inherent optical properties from water color: A multiband quasi–analytical algorithm for optically deep waters10.1364/AO.41.005755 ↗
65. Generalized ocean color inversion model for retrieving marine inherent optical properties10.1364/AO.52.002019 ↗
66. Theoretical results concerning light absorption in a discrete medium and application to the specific absorption of phytoplankton10.1016/0198-0149(81)90039-X ↗
67. A model for estimating bulk refractive index from the optical backscattering ratio and the implications for understanding particle composition in case i and case ii waters10.1029/2000JC000404 ↗
68. Regional to global assessments of phytoplankton dynamics from the seawifs mission10.1016/j.rse.2013.03.025 ↗
69. Changes in continental freshwater discharge from 1948 to 200410.1175/2008JCLI2592.1 ↗
70. The amazon river plume during amasseds: Subtidal current variability and the importance of wind forcing10.1029/94JC00343 ↗
71. Optimization of a semianalytical ocean color model for global–scale applications10.1364/AO.41.002705 ↗
72. Wolter, K., and Timlin, M.S. (, January January). Monitoring enso in coads with a seasonally adjusted principal component index. Proceedings of the 17th Climate Diagnostics Workshop, Norman, OK, USA.
73. The impact of global warming on the tropical pacific ocean and el niño10.1038/ngeo868 ↗