کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6387054 1627299 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Time dependent intrinsic correlation analysis of temperature and dissolved oxygen time series using empirical mode decomposition
ترجمه فارسی عنوان
تجزیه و تحلیل همبستگی ذاتی وابسته به زمان درجه حرارت و سری زمان های اکسیژن حل شده با تجزیه حالت تجربی
کلمات کلیدی
سری زمانی ساحل ساحلی، درجه اقیانوسی، اکسیژن محلول اقیانوسی، تجزیه حالت تجربی، تجزیه و تحلیل طیفی هیلبرت، همبستگی صلیبی،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات اقیانوس شناسی
چکیده انگلیسی
In the marine environment, many fields have fluctuations over a large range of different spatial and temporal scales. These quantities can be nonlinear and non-stationary, and often interact with each other. A good method to study the multiple scale dynamics of such time series, and their correlations, is needed. In this paper an application of an empirical mode decomposition based time dependent intrinsic correlation, of two coastal oceanic time series, temperature and dissolved oxygen (saturation percentage) is presented. The two time series are recorded every 20 min for 7 years, from 2004 to 2011. The application of the empirical mode decomposition on such time series is illustrated, and the power spectra of the time series are estimated using the Hilbert transform (Hilbert spectral analysis). Power-law regimes are found with slopes of 1.33 for dissolved oxygen and 1.68 for temperature at high frequencies (between 1.2 and 12 h) with both close to 1.9 for lower frequencies (time scales from 2 to 100 days). Moreover, the time evolution and scale dependence of cross correlations between both series are considered. The trends are perfectly anti-correlated. The modes of mean year 3 and 1 year have also negative correlation, whereas higher frequency modes have a much smaller correlation. The estimation of time-dependent intrinsic correlations helps to show patterns of correlations at different scales, for different modes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Marine Systems - Volume 130, February 2014, Pages 90-100
نویسندگان
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