@article{derot_long-term_2015,
	title = {Long-term high frequency phytoplankton dynamics, recorded from a coastal water autonomous measurement system in the eastern English Channel},
	volume = {109},
	issn = {0278-4343},
	url = {http://www.sciencedirect.com/science/article/pii/S0278434315300674},
	doi = {10.1016/j.csr.2015.09.015},
	abstract = {In this paper, high frequency fluorescence fluctuations, recorded from 2004 to 2011 using an autonomous underwater monitoring system in the eastern English Channel, at 20-min time resolutions, are analyzed. Annual blooms are superposed to multiscale fluctuations. The probability density function (pdf) of the fluorescence time series obeys a power law with slope −2. The pdf for annual portions also obeys power laws, with slopes related to the annual average. Empirical mode decomposition ({EMD}) is used to study the dynamics and display the power spectrum, which is different from the temperature power spectrum. {EMD} is also used to extract a trend and isolate the blooms from the high frequency dynamics.},
	pages = {210--221},
	journaltitle = {Continental Shelf Research},
	shortjournal = {Continental Shelf Research},
	author = {Derot, J. and Schmitt, F. G. and Gentilhomme, V. and Zongo, S. B.},
	urldate = {2019-04-15},
	date = {2015-10-15},
	keywords = {Spectral analysis, Monitoring, Empirical mode decomposition, Algal blooms, Power laws, Probability density functions}
}

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