DOI: 10.1002/2017GB005756
Scopus记录号: 2-s2.0-85040177277
论文题名: Characterizing CDOM Spectral Variability Across Diverse Regions and Spectral Ranges
作者: Grunert B ; K ; , Mouw C ; B ; , Ciochetto A ; B
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2018
卷: 32, 期: 1 起始页码: 57
结束页码: 77
语种: 英语
英文关键词: carbon cycling
; colored dissolved organic matter
; ocean biogeochemistry
Scopus关键词: absorption
; biogeochemistry
; carbon cycle
; dissolved organic matter
; food web
; Gaussian method
; remote sensing
; satellite data
; sensor
; spectral analysis
英文摘要: Satellite remote sensing of colored dissolved organic matter (CDOM) has focused on CDOM absorption (aCDOM) at a reference wavelength, as its magnitude provides insight into the underwater light field and large-scale biogeochemical processes. CDOM spectral slope, SCDOM, has been treated as a constant or semiconstant parameter in satellite retrievals of aCDOM despite significant regional and temporal variabilities. SCDOM and other optical metrics provide insights into CDOM composition, processing, food web dynamics, and carbon cycling. To date, much of this work relies on fluorescence techniques or aCDOM in spectral ranges unavailable to current and planned satellite sensors (e.g., <300 nm). In preparation for anticipated future hyperspectral satellite missions, we take the first step here of exploring global variability in SCDOM and fit deviations in the aCDOM spectra using the recently proposed Gaussian decomposition method. From this, we investigate if global variability in retrieved SCDOM and Gaussian components is significant and regionally distinct. We iteratively decreased the spectral range considered and analyzed the number, location, and magnitude of fitted Gaussian components to understand if a reduced spectral range impacts information obtained within a common spectral window. We compared the fitted slope from the Gaussian decomposition method to absorption-based indices that indicate CDOM composition to determine the ability of satellite-derived slope to inform the analysis and modeling of large-scale biogeochemical processes. Finally, we present implications of the observed variability for remote sensing of CDOM characteristics via SCDOM. ©2017. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77678
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geological and Mining Engineering and Sciences, Michigan Technological University, Houghton, MI, United States; Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, United States
Recommended Citation:
Grunert B,K,, Mouw C,et al. Characterizing CDOM Spectral Variability Across Diverse Regions and Spectral Ranges[J]. Global Biogeochemical Cycles,2018-01-01,32(1)