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1.Ensemble empirical mode decomposition for analyzing phenological responses to warming

作者：Biing T. Guan ; btguan@ntu.edu.tw" class="auth_mail

关键词：Climate warming ; Ensemble empirical mode decomposition ; Phenophase shifts ; Phenophase variability

刊名：Agricultural and Forest Meteorology

年：41866

2.Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting

作者：Xue-hua Zhao ; Xu Chen

关键词：Upper reaches of the Fenhe River basin ; Ensemble empirical mode decomposition ; Auto regressive model ; Runoff forecasting

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

3.Precipitation Complexity Measurement Using Multifractal Spectra Empirical Mode Decomposition Detrended Fluctuation Analysis

作者：Dong Liu ; Mingjie Luo ; Qiang Fu ; Yongjia Zhang ; Khan M. Imran…

关键词：Anti ; noise capability ; Complexity measurement ; Detrended fluctuation analysis ; Empirical mode decomposition ; Harbin precipitation ; Multifractal spectra

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

4.Trend and long-range correlation characteristics analysis of runoff in upper Fenhe River basin

作者：Xuehua Zhao ; Xu Chen ; Qiang Huang

关键词：upper reaches of the Fen River basin ; empirical mode decomposition ; Mann ; Kendall method ; rescaled range analysis ; detrended fluctuation analysis

刊名：Water Resources

出版者：Pleiades Publishing

年：2017

5.Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

作者：Ozgur Kisi (1) Levent Latifo?lu (2) Fatma Latifo?lu (2)

关键词：Stream flow data ; Empirical mode decomposition ; Artificial neural networks ; Forecasting

刊名：Water Resources Management

年：2014

6.Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction

作者：Qi Ouyang ; Wenxi Lu ; Xin Xin ; Yu Zhang ; Weiguo Cheng ; Ting Yu

关键词：Rainfall forecasting ; Support vector regression ; Ensemble empirical mode decomposition ; Phase ; space reconstruction

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

7.Nonlinear model reduction of unconfined groundwater flow using POD and DEIM

作者：Zachary P. Stankoa ; Scott E. Boyceb ; 1 ; William W.-G. Yeha ; williamy@seas.ucla.edu" class="auth_mail" title="E-mail the corresponding author

关键词：Model reduction ; Unconfined flow ; Proper orthogonal decomposition ; Discrete empirical interpolation method ; Nonlinear differential equations

刊名：Advances in Water Resources

年：2016

8.Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

作者：Wen-chuan Wang ; Kwok-wing Chau ; Dong-mei Xu ; Xiao-Yun Chen

关键词：Annual runoff forecasting ; Hydrologic time series ; Auto ; regressive integrated moving average (ARIMA) ; Ensemble empirical mode decomposition (EEMD) ; Decomposition and ensemble

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

9.Interdecadal variations of pan-evaporation at the southern and northern slopes of the Tianshan Mountains, China

作者：Sisi Li ; Quan Wang ; Lanhai Li

关键词：interdecadal variation ; pan ; evaporation ; Ensemble Empirical Mode Decomposition ; path analysis ; Tianshan Mountains

刊名：Journal of Arid Land

出版者：Springer Berlin Heidelberg

年：2016

10.A review of ocean color remote sensing methods and statistical techniques for the detection, mapping and analysis of phytoplankton blooms in coastal and open oceans

作者：David Blondeau-Patissiera ; David.Blondeau-Patissier@cdu.edu.au" class="auth_mail ; James F.R. Gowerb ; Arnold G. Dekkerc ; d ; Stuart R. Phinnd ; Vittorio E. Brandoc ; d

关键词：AVHRR ; Advanced Very High Resolution Radiometer ; Chl-i ; Chlorophyll concentration of pigment i ; CDOM ; Colored Dissolved Organic Matter ; CIA ; Color Index Algorithm ; CZCS ; Coastal Zone Color Scanner (NASA) ; EMD ; Empirical Mode Decomposition ; EOF ; Empirical Orthogonal Function ; FAI ; Floating Algae Index ; FLH ; Fluorescence Line Height ; GSM ; Garver&ndash ; Siegel&ndash ; Maritorena model ; HAB ; Harmful Algal Bloom ; HNLC ; High Nutrient&ndash ; Low Chlorophyll ; HPLC ; High Performance Liquid Chromatography ; KB

刊名：Progress in Oceanography

年：April, 2014

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