Follow
William W. Hsieh
William W. Hsieh
Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia
Verified email at eos.ubc.ca
Title
Cited by
Cited by
Year
Applying neural network models to prediction and data analysis in meteorology and oceanography
WW Hsieh, B Tang
Bulletin of the American Meteorological Society 79 (9), 1855-1870, 1998
5731998
Machine learning methods in the environmental sciences: Neural networks and kernels
WW Hsieh
Cambridge university press, 2009
4412009
Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods
MD Johnson, WW Hsieh, AJ Cannon, A Davidson, F Bédard
Agricultural and forest meteorology 218, 74-84, 2016
2872016
Daily streamflow forecasting by machine learning methods with weather and climate inputs
K Rasouli, WW Hsieh, AJ Cannon
Journal of Hydrology 414, 284-293, 2012
2712012
Nonlinear principal component analysis by neural networks
WW Hsieh
Tellus A 53 (5), 599-615, 2001
2142001
Nonlinear canonical correlation analysis by neural networks
WW Hsieh
Neural Networks 13 (10), 1095-1105, 2000
1862000
Nonlinear multivariate and time series analysis by neural network methods
WW Hsieh
Reviews of Geophysics 42 (1), 2004
1822004
Forecasting ENSO events: A neural network–extended EOF approach
FT Tangang, B Tang, AH Monahan, WW Hsieh
Journal of Climate 11 (1), 29-41, 1998
1561998
Forecasting the equatorial Pacific sea surface temperatures by neural network models
FT Tangang, WW Hsieh, B Tang
Climate Dynamics 13, 135-147, 1997
1381997
Neural network forecasts of the tropical Pacific sea surface temperatures
A Wu, WW Hsieh, B Tang
Neural networks 19 (2), 145-154, 2006
1352006
The free Kelvin wave in finite-difference numerical models
WW Hsieh, MK Davey, RC Wajsowicz
Journal of Physical Oceanography 13 (8), 1383-1397, 1983
1281983
Nonlinear canonical correlation analysis of the tropical Pacific climate variability using a neural network approach
WW Hsieh
Journal of Climate 14 (12), 2528-2539, 2001
1232001
Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures
B Tang, WW Hsieh, AH Monahan, FT Tangang
Journal of Climate 13 (1), 287-293, 2000
1072000
Forecasting daily streamflow using online sequential extreme learning machines
AR Lima, AJ Cannon, WW Hsieh
Journal of hydrology 537, 431-443, 2016
1062016
Maize yield forecasting by linear regression and artificial neural networks in Jilin, China
K Matsumura, CF Gaitan, K Sugimoto, AJ Cannon, WW Hsieh
The Journal of Agricultural Science 153 (3), 399-410, 2015
982015
Nonlinear regression in environmental sciences using extreme learning machines: a comparative evaluation
AR Lima, AJ Cannon, WW Hsieh
Environmental Modelling & Software 73, 175-188, 2015
842015
Global climate change and ocean upwelling
WW Hsieh, GJ Boer
Fisheries Oceanography 1 (4), 333-338, 1992
761992
Interactive feedback between the tropical Pacific decadal oscillation and ENSO in a coupled general circulation model
J Choi, SI An, B Dewitte, WW Hsieh
Journal of Climate 22 (24), 6597-6611, 2009
742009
The nonlinear patterns of North American winter temperature and precipitation associated with ENSO
A Wu, WW Hsieh, A Shabbar
Journal of Climate 18 (11), 1736-1752, 2005
722005
Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors
FT Tangang, WW Hsieh, B Tang
Journal of Geophysical Research: Oceans 103 (C4), 7511-7522, 1998
721998
The system can't perform the operation now. Try again later.
Articles 1–20