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Proceedings Paper

CDOM retrieval using measurements of downwelling irradiance
Author(s): K. Linnemann; P. Gege; S. Rößler; T. Schneider; A. Melzer
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Paper Abstract

As it can strongly influence the availability of light and thus primary production, coloured dissolved organic matter (CDOM) affects the function of lake ecosystems. Therefore reliable methods are required for the monitoring of CDOM concentration. A new method using downwelling irradiance was tested for applicability in four selected lakes of the Bavarian Osterseen Lake District, which consists of 19 naturally connected freshwater lakes of different trophic level. The method separates between the direct and diffuse part of the incident light in order to handle the strong variability of the underwater light field. It is implemented in the software WASI, which is capable to retrieve water constituents by inverse modeling. During field campaigns downwelling irradiance measurements using RAMSES sensors were made in different depths. Simultaneously, water samples were taken in three depths (0.5 m, 2 m and Secchi disk depth), from which the absorption coefficient of CDOM, aY, was derived in the range from 190 to 900 nm using photometric absorption measurements. Concentration (defined as aY at 440 nm) ranged from 0.33 to 1.55 m-1 with a mean of 0.71 m-1 ± 0.04 m-1, the spectral slope at 440 nm from 0.0120 to 0.0184 nm-1 with a mean of 0.0145 ± 0.0008 nm-1. These laboratory measurements from water samples were compared to CDOM concentration obtained by inverse modeling of downwelling irradiance measurements using WASI. For sensor depths lower than 1 to 1.5 m large uncertainties were observed. The measurements in 2 m depth and at Secchi disk depth yielded good correlation between water sample and WASI derived data (R2 = 0.87) with a mean standard deviation of 0.06 m-1 for the determined CDOM concentrations. This new method is an alternative to laboratory analysis of water samples from in situ measurements of CDOM concentration.

Paper Details

Date Published: 16 October 2013
PDF: 10 pages
Proc. SPIE 8888, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013, 88880I (16 October 2013); doi: 10.1117/12.2031250
Show Author Affiliations
K. Linnemann, Technische Univ. München (Germany)
P. Gege, Deutsches Zentrum für Luft- und Raumfahrt e.V. (Germany)
S. Rößler, Technische Univ. München (Germany)
T. Schneider, Technische Univ. München (Germany)
A. Melzer, Technische Univ. München (Germany)

Published in SPIE Proceedings Vol. 8888:
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2013
Charles R. Bostater; Stelios P. Mertikas; Xavier Neyt; Jean-Paul Bruyant, Editor(s)

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