W. Hsieh

发表

Forecasting ENSO Events: A Neural Network–Extended EOF Approach.

F. Tangang, B. Tang, A. Monahan, 1998 .

Machine Learning Methods in the Environmental Sciences: Nonlinear canonical correlation analysis

W. Hsieh, 2009 .

Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods

Alex J. Cannon, Andrew A. Davidson, A. Cannon, 2016 .

Daily streamflow forecasting by machine learning methods with weather and climate inputs

Alex J. Cannon, A. Cannon, W. Hsieh, 2012 .

Nonlinear Canonical Correlation Analysis of the Tropical Pacific Climate Variability Using a Neural Network Approach

W. Hsieh, 2001 .

Nonlinear Principal Component Analysis

William W. Hsieh, W. Hsieh, William W. Hsieh, 2009 .

Improvements to the non‐linear principal component analysis method, with applications to ENSO and QBO

William W. Hsieh, W. Hsieh, L. Mysak, 2003 .

Nonlinear characteristics of the surface air temperature over Canada

W. Hsieh, A. Shabbar, Aiming Wu, 2002 .

Forecasts of Tropical Pacific Sea Surface Temperatures by Neural Networks and Support Vector Regression

William W. Hsieh, W. Hsieh, Silvestre Aguilar-Martinez, 2009 .

Robust nonlinear canonical correlation analysis: application to seasonal climate forecasting

Alex J. Cannon, A. Cannon, W. Hsieh, 2008 .

The Nonlinear Patterns of North American Winter Temperature and Precipitation Associated with ENSO

William W. Hsieh, Amir Shabbar, W. Hsieh, 2005 .

The nonlinear association between ENSO and the Euro-Atlantic winter sea level pressure

W. Hsieh, Aiming Wu, 2004 .

Nonlinear interdecadal changes of the El Niño-Southern Oscillation

W. Hsieh, Aiming Wu, 2003 .

Nonlinear Modes of North American Winter Climate Variability Derived from a General Circulation Model Simulation.

Francis W. Zwiers, William W. Hsieh, F. Zwiers, 2003 .

Hybrid coupled models of the tropical Pacific – II ENSO prediction

W. Hsieh, Youmin Tang, 2002 .

Nonlinear multichannel singular spectrum analysis of the tropical Pacific climate variability using a neural network approach

W. Hsieh, Aiming Wu, 2002 .

Nonlinear principal component analysis by neural networks

William W. Hsieh, W. Hsieh, W. W. Hsieh, 2001 .

Forecasting the equatorial Pacific sea surface temperatures by neural network models

William W. Hsieh, Fredolin Tangang, F. Tangang, 1997 .

Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors

William W. Hsieh, Fredolin Tangang, F. Tangang, 1998 .

Skill Comparisons between Neural Networks and Canonical Correlation Analysis in Predicting the Equatorial Pacific Sea Surface Temperatures

William W. Hsieh, Fredolin Tangang, Adam H. Monahan, 2000 .

A neural network atmospheric model for hybrid coupled modelling

B. Tang, W. Hsieh, Youmin Tang, 2001 .

Nonlinear canonical correlation analysis of the tropical Pacific wind stress and sea surface temperature

W. Hsieh, Aiming Wu, 2002 .

Sequential Open-Boundary Control by Data Assimilation in a Limited-Area Model

Ionel M. Navon, W. Hsieh, J. Zou, 1995 .

Maize yield forecasting by linear regression and artificial neural networks in Jilin, China

Alex J. Cannon, A. Cannon, W. Hsieh, 2014, The Journal of Agricultural Science.

Evaluation of Linear and Non-Linear Downscaling Methods in Terms of Daily Variability and Climate Indices: Surface Temperature in Southern Ontario and Quebec, Canada

Alex J. Cannon, P. Gachon, A. Cannon, 2014 .

Improving gridded snow water equivalent products in British Columbia, Canada: multi-source data fusion by neural network models

Alex J. Cannon, A. Cannon, W. Hsieh, 2017 .

Comparison of statistically downscaled precipitation in terms of future climate indices and daily variability for southern Ontario and Quebec, Canada

William W. Hsieh, Alex J. Cannon, Carlos F. Gaitan, 2014, Climate Dynamics.

Seasonal Prediction with Error Estimation of Columbia River Streamflow in British Columbia

William W. Hsieh, Yuval, Amir Shabbar, 2003 .

Nonlinear singular spectrum analysis of the tropical stratospheric wind

William W. Hsieh, Kevin Hamilton, W. Hsieh, 2003 .

Representation of the quasi‐biennial oscillation in the tropical stratospheric wind by nonlinear principal component analysis

William W. Hsieh, Kevin Hamilton, W. Hsieh, 2002 .

Nonlinear singular spectrum analysis

William W. Hsieh, W. Hsieh, Aiming Wu, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Nonlinear singular spectrum analysis by neural networks

William W. Hsieh, W. Hsieh, Aiming Wu, 2002 .

Improving gridded snow water equivalent products in British Columbia , Canada : multi-source data fusion by neural network models

A. Cannon, W. Hsieh, A. Snauffer, 2017 .

Short Lead-Time Streamflow Forecasting by Machine Learning Methods, with Climate Variability Incorporated

Alex J. Cannon, A. Cannon, W. Hsieh, 2010 .

Nonlinear complex principal component analysis of the tropical Pacific interannual wind variability

Sanjay S. P. Rattan, W. Hsieh, 2004 .

Edge waves on the Sydney coast

W. Hsieh, J. Middleton, M. Cahill, 1987 .

Changes in the leading ENSO modes associated with the late 1970s climate shift: Role of surface zonal current

W. Hsieh, S. An, Z. Ye, 2006 .

The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012

Aranildo R. Lima, Wei Wang, Brendan McCane, 2012, IJCNN.

Comparison of gridded snow water equivalent products with in situ measurements in British Columbia, Canada

Alex J. Cannon, A. Cannon, W. Hsieh, 2016 .

Nonlinear complex principal component analysis of the tropical Pacific wind field : Decadal variability and ENSO changes

Sanjay S. P. Rattan, W. Hsieh, 2022 .

Seasonal Modulations of the Active MJO Cycle Characterized by Nonlinear Principal Component Analysis

A. Cannon, W. Hsieh, J. Jenkner, 2011 .

Non-linear complex principal component analysis of nearshore bathymetry

Sanjay S. P. Rattan, W. Hsieh, B. Ruessink, 2004 .

Variations in nutrients, carbon and other hydrographic parameters related to the 1976/77 and 1988/89 regime shifts in the sub-arctic Northeast Pacific

W. Hsieh, C. S. Wong, Liusen Xie, 2007 .

Interactive Feedback between the Tropical Pacific Decadal Oscillation and ENSO in a Coupled General Circulation Model

W. Hsieh, B. Dewitte, S. An, 2009 .

The influence of climate regime shift on ENSO

W. Hsieh, Z. Ye, 2006 .

Improving neural network predictions of North American seasonal climate by outlier correction

Alex J. Cannon, A. Cannon, W. Hsieh, 2007 .

Coupling Neural Networks to Incomplete Dynamical Systems via Variational Data Assimilation

W. Hsieh, Youmin Tang, 2001 .

A modelling study of the 1976 climate regime shift in the North Pacific Ocean

W. Hsieh, Julian Wu, 1999 .

On the Detection of Continental Shelf Waves

W. Hsieh, 1982 .

Computational intelligence in earth and environmental sciences

Julio J. Valdés, Dimitri P. Solomatine, Vladimir Cherkassky, 2007, Neural Networks.

The global distribution of wind‐induced upwelling

W. Hsieh, Liusen Xie, 1995 .

Wind-induced upwelling along the west coast of North America, 1899-1988

W. Hsieh, D. Ware, R. Thomson, 1995 .

Nonlinear canonical correlation analysis by neural networks

William W. Hsieh, W. Hsieh, William W. Hsieh, 2000, Neural Networks.

Nonlinear multivariate and time series analysis by neural network methods

William W. Hsieh, W. Hsieh, 2004 .

Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea

Lei Zhu, Jian Jin, William W. Hsieh, 2016, ICONIP.

Forecasting daily streamflow using online sequential extreme learning machines

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2016 .

Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2013, Comput. Geosci..

Downscaling temperature and precipitation using support vector regression with evolutionary strategy

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A potential problem with extended EOF analysis of standing wave fields

F. Tangang, A. Monahan, W. Hsieh, 1999 .

A Nonlinear Analysis of the ENSO Cycle and Its Interdecadal Changes

William W. Hsieh, Fei-Fei Jin, W. Hsieh, 2005 .

Evolution of machine learning in environmental science—A perspective

W. Hsieh, 2022, Environmental Data Science.

Nonlinear complex principal component analysis and its applications

Sanjay S. P. Rattan, W. Hsieh, B. Ruessink, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Complex-valued neural networks for nonlinear complex principal component analysis

William W. Hsieh, Sanjay S. P. Rattan, W. Hsieh, 2005, Neural Networks.

Using a Numerical Model of the Northeast Pacific Ocean to Study the Interannual Variability of the Fraser River Sockeye Salmon (Oncorhynchus nerka)

W. Hsieh, L. Mysak, Warren G. Lee, 1991 .

Adjoint data assimilation in coupled atmosphere‐ocean models: Determining model parameters in a simple equatorial model

William W. Hsieh, W. Hsieh, Jingxilu, 1997 .

The Free Kelvin Wave in Finite-Difference Numerical Models

W. Hsieh, M. Davey, R. C. Wajsowicz, 1983 .

Neural network forecasts of the tropical Pacific sea surface temperatures

William W. Hsieh, Benyang Tang, Aiming Wu, 2006, Neural Networks.

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

William W. Hsieh, W. Hsieh, 2009 .

Redistribution of sea level rise associated with enhanced greenhouse warming: a simple model study

K. Bryan, W. Hsieh, 1996 .

Simulation of the planktonic ecosystem response to pre- and post-1976 forcing in an isopycnic model of the North Pacific

K. Denman, W. Hsieh, S. Haigh, 2001 .

Global climate change and ocean upwelling

William W. Hsieh, W. Hsieh, G. Boer, 1992 .

Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography.

William W. Hsieh, Benyang Tang, B. Tang, 1998 .

Improving predictions by nonlinear regression models from outlying input data pdf

William W. Hsieh, W. Hsieh, 2020, Journal of Environmental Informatics.

Variable complexity online sequential extreme learning machine, with applications to streamflow prediction

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2017 .

Forcing mechanisms controlling surface and subsurface temperature anomalies along line‐p, North‐East Pacific Ocean

W. Hsieh, H. Freeland, A. Laîné, 2006 .

A numerical study of the seasonal cycle in the northeast pacific ocean as driven by the wind stress and surface heat flux

W. Hsieh, 1987 .

Nonlinear principal component analysis of noisy data

William W. Hsieh, W. Hsieh, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

An Adaptive Nonlinear MOS Scheme for Precipitation Forecasts Using Neural Networks

William W. Hsieh, Yuval, W. Hsieh, 2003 .

Nonlinear atmospheric teleconnections

William W. Hsieh, Amir Shabbar, W. Hsieh, 2006 .

The nonlinear Northern Hemisphere winter atmospheric response to ENSO

W. Hsieh, Aiming Wu, 2004 .

The impact of time‐averaging on the detectability of nonlinear empirical relations

William W. Hsieh, Yuval, W. Hsieh, 2002 .

Hybrid coupled modeling of the tropical Pacific using neural networks

William W. Hsieh, W. Hsieh, Aiming Wu, 2005 .

Summer Sea Surface Temperature Variability off Vancouver Island From Satellite Data

William W. Hsieh, W. Hsieh, W. Fang, 1993 .

The Free Kelvin Wave with Lateral and Vertical Viscosity

William W. Hsieh, W. Hsieh, M. Davey, 1983 .

Changes in ENSO and Associated Overturning Circulations from Enhanced Greenhouse Gases by the End of the Twentieth Century

W. Hsieh, Z. Ye, 2008 .

Seasonal prediction of winter extreme precipitation over Canada by support vector regression

William W. Hsieh, Zhen Zeng, W. R. Burrows, 2010 .

ENSO simulation and prediction in a hybrid coupled model with data assimilation

William W. Hsieh, Youmin Tang, W. Hsieh, 2003 .

Enhancing predictability by increasing nonlinearity in ENSO and Lorenz systems

William W. Hsieh, W. Hsieh, Z. Ye, 2008 .

Machine Learning Methods in the Environmental Sciences: Preface

W. Hsieh, 2009 .

The Influence of Buoyancy Flux from Estuaries on Continental Shelf Circulation

A. Weaver, W. Hsieh, 1987 .

How does the El Niño‐generated coastal current propagate past the Mendocino escarpment?

W. Hsieh, S. Allen, 1997 .

Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2015, Environ. Model. Softw..

Nonlinear modes of decadal and interannual variability of the subsurface thermal structure in the Pacific Ocean

W. Hsieh, Youmin Tang, 2003 .

Machine Learning Methods in the Environmental Sciences: Kernel methods

W. Hsieh, 2009 .

Interannual variability of accumulated snow in the Columbia Basin, British Columbia

William W. Hsieh, B. Tang, W. Hsieh, 2001 .

The nonlinear association between the Arctic Oscillation and North American winter climate

F. Zwiers, W. Hsieh, G. Boer, 2022 .

The nonlinear association between ENSO and the Euro-Atlantic winter sea level pressure Aiming

W. Hsieh, Aiming Wu, 2022 .

Changes in the Arctic Oscillation under increased atmospheric greenhouse gases

F. Zwiers, W. Hsieh, G. Boer, 2007 .

Time Series Analysis of Sea-Level Records: Characterising Long-Term Variability

Maria Eduarda Silva, Alex J. Cannon, H. Kantz, 2008 .

Resonant Interactions between Shelf Waves, with Applications to the Oregon Shelf

W. Hsieh, L. Mysak, 1980 .

The scattering of a continental shelf wave by a semi-infinite barrier located along the outer edge of a step shelf

W. Hsieh, V. Buchwald, 1984 .

Spectral Analysis Of The Avhrr Sea Surface Temperature Variability Off The West Coast Of Vancouver Island

W. Hsieh, R. Burgert, 1989, 12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,.

The Rossby Adjustment Problem in a Rotating, Stratified Channel, with and without Topography

A. E. Gill, W. Hsieh, 1984 .

Neuralnets for Multivariate And Time Series Analysis ( NeuMATSA ) : A User Manual ( Version 2 . 3 . 1 ) MATLAB codes for : Nonlinear principal component analysis Nonlinear canonical correlation analysis Nonlinear singular spectrum analysis

W. Hsieh, 2004 .

On determining initial conditions and parameters in a simple coupled atmosphere-ocean model by adjoint data assimilation

W. Hsieh, Jingxi Lu, 1998 .

THE NONLINEAR ENSO MODE AND ITS INTERDECADAL CHANGES

W. Hsieh, Aiming Wu, 2002 .

Representation of the QBO in the Tropical Stratospheric Wind by Nonlinear Principal Component Analysis

W. Hsieh, K. Hamilton, 2002 .

Adjoint Data Assimilation in Coupled Atmosphere-Ocean Models : Determining Initial Conditions in a S

W. Hsieh, Jingxi Lu, 1998 .

Teleconnections between Pacific sea surface temperatures and Canadian prairie wheat yield

William W. Hsieh, W. Hsieh, 1999 .

Predicting the Return Migration Routes of the Fraser River Sockeye Salmon (Oncorhynchus nerka)

W. Hsieh, Liusen Xie, 1989 .

Simplified nonlinear principal component analysis

William W. Hsieh, W. Hsieh, Bei-Wei Lu, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Non-Linear Post-Processing of Numerical Seasonal Climate Forecasts

W. Hsieh, W. Merryfield, Hai Lin, 2012 .

Evaluating hourly air quality forecasting in Canada with nonlinear updatable machine learning methods

Aranildo R. Lima, Jian Jin, William W. Hsieh, 2017, Air Quality, Atmosphere & Health.

Neural network forecasts of the tropical Pacific sea surface temperatures

B. Tang, W. Hsieh, Aiming Wu, 2006, Neural Networks.

Machine Learning Methods in the Environmental Sciences: Contents

W. Hsieh, 2009 .