Detecting CDOM Fluorescence Using High Spectrally Resolved Satellite Data: A Model Study

Wolanin, Aleksandra; Розанов, В. В.; Dinter, Tilman; Bracher, Astrid

doi:10.1007/978-3-319-13865-7_13

Cited by 6 publications

(14 citation statements)

References 32 publications

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“…The study by Wolanin et al [90] used the presented SCIATRAN package to simulate CDOM fluorescence in ocean waters and confirms the applicability of the model also to case 2 waters. As in the radiative transfer simulations based on matrix-operator by Schröder et al [64], it was shown that only in case 2 waters with very high CDOM concentrations, CDOM fluorescence can reach or exceed the relevance of VRS at short wavelengths.…”

Section: Discussionmentioning

confidence: 68%

“…However, for the development of such retrievals precise measurements of these spectra accompanied by correctly determined molar absorbance, quantum efficiency and concentrations of these components and the separation of their filling-in of Fraunhofer lines from VRS and RRS are needed. This SCIATRAN package would be suitable to develop these retrievals as it has been done for the marine chl-a fluorescence in [90].…”

Section: Discussionmentioning

confidence: 99%

“…This difference is due to much stronger fluorescence emission functions at longer wavelengths used in the FHA approach. Such strong emission at long wavelengths can be a result of the technique used by Hawes [29] that preferentially extracts material absorbing and fluorescing at longer wavelengths [90]. The reference spectrum of PARAFAC component 1 is abruptly cut at quite high values around 550 nm, which suggests that fluorescence continues further into longer wavelengths, which were not measured by the instrument in the dataset [36] used here.…”

Section: Filling-in and Broadband Spectral Structure By The Cdom Fluomentioning

confidence: 98%

“…The information content of the filling-in signal originating from CDOM and chl-a fluorescence was studied among others by Wolanin et al [91,90]. In particular, it was demonstrated that the information from chlorophyll fluorescence measurements can be used to assess the physiological state of phytoplankton to further improve the knowledge of biogeochemical cycles, productivity and physiology of marine environments [4,18], whereas the CDOM-fluorescence signal is useful to characterize CDOM composition and concentration independent from amount of chlorophyll [14].…”

Section: Introductionmentioning

confidence: 99%

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Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN

Розанов

Dinter

Rozanov

et al. 2017

Journal of Quantitative Spectroscopy and Radiative Transfer

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a b s t r a c t SCIATRAN is a comprehensive software package which is designed to model radiative transfer processes in the terrestrial atmosphere and ocean in the spectral range from the ultraviolet to the thermal infrared (0.18-40 μm). It accounts for multiple scattering processes, polarization, thermal emission and oceanatmosphere coupling. The main goal of this paper is to present a recently developed version of SCIATRAN which takes into account accurately inelastic radiative processes in both the atmosphere and the ocean. In the scalar version of the coupled ocean-atmosphere radiative transfer solver presented by Rozanov et al. [61] we have implemented the simulation of the rotational Raman scattering, vibrational Raman scattering, chlorophyll and colored dissolved organic matter fluorescence.In this paper we discuss and explain the numerical methods used in SCIATRAN to solve the scalar radiative transfer equation including trans-spectral processes, and demonstrate how some selected radiative transfer problems are solved using the SCIATRAN package. In addition we present selected comparisons of SCIATRAN simulations with those published benchmark results, independent radiative transfer models, and various measurements from satellite, ground-based, and ship-borne instruments.The extended SCIATRAN software package along with a detailed User's Guide is made available for scientists and students, who are undertaking their own research typically at universities, via the web page of the Institute of Environmental Physics (IUP), University of Bremen: http://www.iup.physik.unibremen.de.

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Section: Discussionmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

Section: Filling-in and Broadband Spectral Structure By The Cdom Fluomentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN

Розанов

Dinter

Rozanov

et al. 2017

Journal of Quantitative Spectroscopy and Radiative Transfer

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“…All terms are a function of depth z and wavelength λ. The Zaneveld expression does not account for any inelastic processes, such as molecular Raman scattering or fluorescence [30][31][32][33]. Using physically reasoned approximations for f b including the assumption of single scattering, the following was obtained by Zaneveld ([28]; his Equation 14):…”

Section: Forward Model Developmentmentioning

confidence: 99%

Ocean Color Analytical Model Explicitly Dependent on the Volume Scattering Function

Twardowski

Tonizzo²

2018

Applied Sciences

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An analytical radiative transfer (RT) model for remote sensing reflectance that includes the bidirectional reflectance distribution function (BRDF) is described. The model, called ZTT (Zaneveld-Twardowski-Tonizzo), is based on the restatement of the RT equation by Zaneveld (1995) in terms of light field shape factors. Besides remote sensing geometry considerations (solar zenith angle, viewing angle, and relative azimuth), the inputs are Inherent Optical Properties (IOPs) absorption a and backscattering bb coefficients, the shape of the particulate volume scattering function (VSF) in the backward direction, and the particulate backscattering ratio. Model performance (absolute error) is equivalent to full RT simulations for available high quality validation data sets, indicating almost all residual errors are inherent to the data sets themselves, i.e., from the measurements of IOPs and radiometry used as model input and in match up assessments, respectively. Best performance was observed when a constant backward phase function shape based on the findings of Sullivan and Twardowski (2009) was assumed in the model. Critically, using a constant phase function in the backward direction eliminates a key unknown, providing a path toward inversion to solve for a and bb. Performance degraded when using other phase function shapes. With available data sets, the model shows stronger performance than current state-of-the-art look-up table (LUT) based BRDF models used to normalize reflectance data, formulated on simpler first order RT approximations between rrs and bb/a or bb/(a + bb) (Morel et al., 2002; Lee et al., 2011). Stronger performance of ZTT relative to LUT-based models is attributed to using a more representative phase function shape, as well as the additional degrees of freedom achieved with several physically meaningful terms in the model. Since the model is fully described with analytical expressions, errors for terms can be individually assessed, and refinements can be readily made without carrying out the gamut of full RT computations required for LUT-based models. The ZTT model is invertible to solve for a and bb from remote sensing reflectance, and inversion approaches are being pursued in ongoing work. The focus here is with development and testing of the in-water forward model, but current ocean color remote sensing approaches to cope with an air-sea interface and atmospheric effects would appear to be transferable. In summary, this new analytical model shows good potential for future ocean color inversion with low bias, well-constrained uncertainties (including the VSF), and explicit terms that can be readily tuned. Emphasis is put on application to the future NASA Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission.

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Changing Dynamics of Dissolved Organic Matter Fluorescence in the Northern Gulf of Mexico Following the Deepwater Horizon Oil Spill

D’Sa¹,

Overton²,

Lohrenz

et al. 2016

Environ. Sci. Technol.

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The characteristics of fluorescent components of dissolved organic matter (DOM) were examined using excitation emission matrix (EEM) fluorescence spectroscopy combined with parallel-factor analysis (PARAFAC) for seawater samples obtained from the northern Gulf of Mexico (NGoM) before, during, and after the 2010 Deepwater Horizon (DwH) oil spill. An EEMs PARAFAC modeling of samples collected within 16 km of the wellhead during the oil spill in May 2010, which included one typical subsurface sample with a PAH concentration of 1.09 μg/L, identified two humic-like and two previously reported oil-like components. Compared to prespill levels, however, there were order-of-magnitude higher fluorescence intensities associated with these components that are consistent with an oil-spill source. The spectral decomposition of the EEMs data using individual and combined data sets from coastal and offshore waters impacted by the DwH spill further revealed the changing nature of fluorescent DOM composition. Although the PAHs concentrations were at prespill conditions after the spill in 2012 and 2013 near the DwH site, the variable and anomalous levels of fluorescence intensities and DOC concentrations three years after the spill suggest the potential long-term persistence of the oil in the DOC pool in the NGoM.

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Detecting CDOM Fluorescence Using High Spectrally Resolved Satellite Data: A Model Study

Cited by 6 publications

References 32 publications

Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN

Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN

Ocean Color Analytical Model Explicitly Dependent on the Volume Scattering Function

Changing Dynamics of Dissolved Organic Matter Fluorescence in the Northern Gulf of Mexico Following the Deepwater Horizon Oil Spill

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