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Journal ArticleDOI

Absorption spectrum (380–700 nm) of pure water. II. Integrating cavity measurements

Robin M. Pope, +1 more
- 20 Nov 1997 - 
- Vol. 36, Iss: 33, pp 8710-8723
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TLDR
Definitive data on the absorption spectrum of pure water from 380 to 700 nm have been obtained with an integrating cavity technique and several spectroscopic features have been identified in the visible spectrum to the knowledge for the first time.
Abstract
Definitive data on the absorption spectrum of pure water from 380 to 700 nm have been obtained with an integrating cavity technique. The results are in good agreement with those recently obtained by our group with a completely independent photothermal technique. As before, we find that the absorption in the blue is significantly lower than had previously been generally believed and that the absorption minimum is at a significantly shorter wavelength, i.e., 0.0044 ? 0.0006 m(-1) at 418 nm. Several spectroscopic features have been identified in the visible spectrum to our knowledge for the first time.

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Ocean Color Chlorophyll Algorithms for SEAWIFS

TL;DR: In this article, a large data set containing coincident in situ chlorophyll and remote sensing reflectance measurements was used to evaluate the accuracy, precision, and suitability of a wide variety of ocean color algorithms for use by SeaWiFS (Sea-viewing Wide Field-of-view Sensor).
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Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters

TL;DR: For open ocean and coastal waters, a multiband quasi-analytical algorithm is developed to retrieve absorption and backscattering coefficients, as well as absorption coefficients of phytoplankton pigments and gelbstoff, based on remote-sensing reflectance models derived from the radiative transfer equation.
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Bio-optical properties of oceanic waters: A reappraisal

TL;DR: In this article, the spectral attenuation for downward irradiance Kd(X) and irradiance reflectance R(X), as well as a bio-optical model of the upper layer was developed.
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Optimization of a semianalytical ocean color model for global-scale applications

TL;DR: A procedure for optimizing SA ocean color models for global applications by tuned by simulated annealing as the global optimization protocol and results are comparable with the current Sea-viewing Wide Field-of-view sensor (SeaWiFS) algorithm for Chl.
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Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization

TL;DR: The results suggest that the model and method used in this study, which do not require in situ calibration measurements, perform very well in retrieving in-water optical properties and bottom depths from above-surface hyperspectral measurements.
References
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Book

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TL;DR: In this paper, E.D. Palik and R.R. Potter, Basic Parameters for Measuring Optical Properties, and W.W.Hunter, Measurement of Optical Constants in the Vacuum Ultraviolet Spectral Region.
Book

Data Reduction and Error Analysis for the Physical Sciences

TL;DR: In this paper, Monte Carlo techniques are used to fit dependent and independent variables least squares fit to a polynomial least-squares fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Journal ArticleDOI

Data Reduction and Error Analysis for the Physical Sciences.

TL;DR: Numerical methods matrices graphs and tables histograms and graphs computer routines in Pascal and Monte Carlo techniques dependent and independent variables least-squares fit to a polynomial least-square fit to an arbitrary function fitting composite peaks direct application of the maximum likelihood.
Journal ArticleDOI

Optical properties of the clearest natural waters (200–800 nm)

TL;DR: A comparative analysis and new data allow a consistent and accurate set of optical properties for the clearest natural waters and for pure fresh water and saltwater to be estimated from 300 to 800 nm.
Proceedings ArticleDOI

Optical properties of pure water

TL;DR: In this paper, the scattering of pure water is recalculated using the Einstein-Smoluchowski equation and the input for this equation is evaluated and the temperature dependency is included.
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