(My most significant papers are prefixed by asterisks ***)
(My complete publication list is in my
Curriculum vitae)
Haupt, S. E., Gagne, D. J., Hsieh, W. W., Krasnopolsky, V., McGovern, A., Marzban, C., Moninger, W., Lakshmanan, V., Tissot, P., & Williams, J. K., 2021. The history and practice of AI in the environmental sciences, Bulletin of the American Meteorological Society (published online ahead of print 2021). https://journals.ametsoc.org/view/journals/bams/aop/BAMS-D-20-0234.1/BAMS-D-20-0234.1.xml.
Hsieh, W. W., 2022. Evolution of machine learning in environmental science -- A
perspective. Environmental Data Science, 1:1-8.
https://doi.org/10.1017/eds.2022.2
Snauffer, A.M., W.W. Hsieh, A.J. Cannon and
M. Schnorbus, 2018. Improving gridded snow water equivalent products in
British Columbia, Canada: multi-source data fusion by neural network
models. Cryosphere. 12: 891-905.
https://www.the-cryosphere.net/12/891/2018.
Lima, A.R., W.W. Hsieh and A.J. Cannon, 2017. Variable complexity
online sequential extreme learning machine, with applications to
streamflow prediction. J. Hydrology, 555: 983-994.
https://doi.org/10.1016/j.jhydrol.2017.10.037
Snauffer, A.M., W.W. Hsieh and A.J. Cannon, 2016. Comparison of gridded
snow water equivalent products with in situ measurements in British
Columbia, Canada. J. Hydrology,
541:714-726. http://dx.doi.org/10.1016/j.jhydrol.2016.07.027
Lima, A.R., A.J. Cannon and W.W. Hsieh, 2016. Forecasting daily
streamflow using online sequential extreme learning
machines. J. Hydrology, 537: 431-443.
Johnson, M.D., W.W. Hsieh, A.J. Cannon, A. Davidson,
F. Bedard, 2016. Crop yield forecasting on the Canadian Prairies by
remotely sensed vegetation indices and machine learning
methods. Agricultural and Forest Meteorology, 218-219:74-84.
http://dx.doi.org/10.1016/j.agrformet.2015.11.003
Lima, A.R., A.J. Cannon and W.W. Hsieh, 2015. Nonlinear regression in
environmental sciences using extreme learning machines: A
comparative evaluation. Environmental Modelling & Software,
73:175-188.
Matsumura, K., C.F. Gaitan, K. Sugimoto, A.J. Cannon and
W.W. Hsieh, 2015. Maize yield forecasting by linear regression and
artificial neural networks in Jilin, China.
The Journal of Agricultural Science, Cambridge, 153: 399-410.
doi: http://dx.doi.org/10.1017/S0021859614000392
Gaitan, C.F., W.W. Hsieh and A.J. Cannon, 2014. Comparison of
statistically downscaled precipitation in terms of future climate
indices and daily variability for southern Ontario and Quebec,
Canada. Climate Dynamics, 43: 3201-3217. doi: 10.1007/s00382-014-2098-4
Gaitan, C.F., W.W. Hsieh, A.J. Cannon and P. Gachon, 2014.
Evaluation of linear and non-linear downscaling methods in terms of
daily variability and climate indices: surface temperature in Ontario and
Quebec, Canada. Atmos.-Ocean, 52: 211-221, doi: 10.1080/07055900.2013.857639
Choi, J., S.-I. An, B. Dewitte and W.W. Hsieh, 2009.
Interactive feedback between the tropical Pacific Decadel
Oscillation and ENSO in a coupled general circulation
model. J. Climate 22:6597-6611.
Hsieh, W. W., 2009. Nonlinear principal component analysis. In
S.E. Haupt, A. Pasini and C. Marzban, (eds.). Artificial Intelligence
Methods in the Environmental Sciences, pp.173-190, Springer.
Cai, S., W.W. Hsieh and A.J. Cannon, 2008. A comparison of
Bayesian and conditional density models in probabilistic ozone
forecasting. In Proceedings of the 2008 IEEE World Congress in
Computational Intelligence. Hong Kong.
(preprint in PDF).
Hsieh, W.W. and A.J. Cannon, 2008.
Towards robust nonlinear multivariate analysis by neural
network methods. In Donner, R. and Barbosa, S. (eds.), Nonlinear Time
Series Analysis in the Geosciences -- Applications in Climatology,
Geodynamics, and Solar-Terrestrial Physics, pp.97-124. Springer.
Ye, Z. and W.W. Hsieh, 2008.
Enhancing predictability by increasing nonlinearity in
ENSO and Lorenz systems.
Nonlin. Processes in Geophys. 15:793-801.
(reprint in PDF)
Ye, Z. and W.W. Hsieh, 2008.
ENSO and associated overturning circulations from enhanced
greenhouse gases. J. Climate. 21:5745-5763.
(preprint in PDF)
Wu, A., W.W. Hsieh, G.J. Boer and F.W. Zwiers, 2007.
Changes in the Arctic Oscillation under
increased atmospheric greenhouse gases.
Geophys. Res. Lett. 34,
L12701, doi:10.1029/2007GL029344.
(preprint in PDF).
*** Hsieh, W.W., 2007. Nonlinear principal component analysis of
noisy data. Neural Networks, 20: 434-443. DOI 10.1016/j.neunet.2007.04.018
(preprint in PDF)
[Matlab code downloadable]
Wong, C.S., L. Xie, W.W. Hsieh, 2007.
Variations in nutrients, carbon and other hydrographic
parameters related to the 1976-77 and 1988-89 regime shifts
in the sub-arctic northeast Pacific.
Prog. Oceanogr. 75: 326-342. doi:10.1016/j.pocean.2007.08.002
An, S.-I., Z. Ye and W.W. Hsieh, 2006.
Changes in the leading ENSO modes associated with the late 1970s climate
shift: Role of surface zonal current. Geophys. Res. Lett. 33, L14609,
doi:10.1029/2006GL026604. (reprint in PDF)
Hsieh, W.W., 2006. Nonlinear principal component analysis of
noisy data. World Congress on Computational Intelligence 2006.
(preprint in PDF). [A more
up-to-date paper is Hsieh, 2007, Neural Networks (available above).]
Wu, A., W.W. Hsieh and B. Tang, 2006. Neural Network forecasts of the
tropical Pacific sea surface temperatures. Neural Networks. 19: 145-154.
(preprint in PDF)
Ye, Z. and W.W. Hsieh, 2006. The influence of climate regime shift on
ENSO. Clim. Dynam. 26: 823-833. DOI: 10.1007/s00382-005-0105-5. (preprint in PDF)
Laîné, A., W.W. Hsieh and H.J. Freeland, 2006. Forcing mechanisms controlling surface and subsurface temperature
anomalies along Line-P, northeast Pacific Ocean.
Atmos.-Ocean, 44: 163-176.
(preprint in PDF)
Rattan, S.S.P., B.G. Ruessink and W.W. Hsieh, 2005. Non-linear complex
principal component analysis of nearshore
bathymetry. Nonlin. Processes in Geophys. 12: 661-670.
(reprint in PDF)
Jamet, C. and W.W. Hsieh, 2005. The nonlinear atmospheric variability
in the winter northeast Pacific associated with the Madden-Julian
Oscillation. Geophys. Res. Lett. 32(13), L13820,
DOI: 10.1029/2005GL023533.
(preprint in PDF).
Li, S., W.W. Hsieh and A. Wu, 2005. Hybrid coupled modeling of the
tropical Pacific using neural networks.
J. Geophys. Res. 110, C09024, 10.1029/2004JC002595. (preprint in PDF)
An, S.-I., W.W. Hsieh and F.-F. Jin, 2005. A nonlinear analysis of
the ENSO cycle and its interdecadal changes. J. Climate, 18(16): 3229-3239.
(preprint in PDF).
Wu, A., W.W. Hsieh and A. Shabbar, 2005. The nonlinear patterns of
North American winter temperature and precipitation associated
with ENSO. J. Climate 18: 1736-1752. doi: 10.1175/JCLI3372.1
(preprint in PDF).
Rattan, S.S.P. and W.W. Hsieh, 2005. Complex-valued neural networks for
nonlinear complex principal component analysis. Neural Networks, 18:
61-69, DOI:10.1016/j.neunet.2004.08.002.
(preprint in PDF).
Rattan, S.S.P. and W.W. Hsieh, 2004. Nonlinear complex
principal component analysis of the tropical Pacific interannual
wind variability. Geophys. Res. Lett. 31, no. 21, L21201, DOI:
10.1029/2004GL020446 (preprint in PDF)
Wu, A. and W.W. Hsieh, 2004. The nonlinear association between ENSO
and the Euro-Atlantic winter sea level pressure. Clim. Dynam. 23:
859-868. DOI: 10.1007/s00382-004-0470-5 (preprint in PDF) .
Wu, A. and W.W. Hsieh, 2004. The nonlinear Northern Hemisphere
atmospheric response to ENSO. Geophys. Res. Lett. 31, L02203,
doi:10.1029/2003GL018885 (preprint in PDF
or postscript).
*** Hsieh, W.W., 2004. Nonlinear multivariate and time series analysis by
neural network methods. Reviews of Geophysics, 42, RG1003,
doi:10.1029/2002RG000112. (corrected reprint in PDF).
Yuval, and W.W. Hsieh, 2003. An adaptive nonlinear MOS scheme for
precipitation forecasts using neural networks. Weather and Forecasting,
18(2): 303-310.
(preprint in PDF or postscript)
*** Wu, A. and W.W. Hsieh, 2003. Nonlinear interdecadal changes of the
El Nino-Southern Oscillation. Clim. Dynam. 21: 719-730.
DOI 10.1007/s00382-003-0361-1.
(preprint in PDF or postscript)
Wu, A., W.W. Hsieh, and F.W. Zwiers, 2003. Nonlinear modes of North
American winter climate variability detected from a general circulation
model. J.Climate, 16(14): 2325-2339.
(preprint in PDF or
postscript)
Newbigging, S.C., L.A. Mysak and W.W. Hsieh, 2003. Improvements to
the Nonlinear Principal Component Analysis method, with applications to ENSO
and QBO. Atmos.-Ocean, 41(4): 291-299. (reprint in PDF)
Tang, Y. and W.W. Hsieh, 2003. Nonlinear modes of decadal and
interannual variability of the subsurface thermal structure in the
Pacific Ocean. J. Geophys. Res. 108(C3), 3084, DOI: 10.1029/2001JC001236
(preprint in PDF)
Hsieh, W.W., Yuval, J. Li, A. Shabbar and S. Smith, 2003. Seasonal
prediction with error estimation of Columbia River streamflow in British
Columbia. J. Water Resour. Plng. and Mgmt. 129(2): 146-149.
(preprint in PDF or postscript)
Hsieh, W.W. and K. Hamilton, 2003. Nonlinear singular spectrum
analysis of the tropical stratospheric wind.
Q. J. R. Meteorol. Soc. 129: 2367-2382. (preprint in PDF or postscript)
Tang, Y. and W.W. Hsieh, 2003. ENSO simulation and prediction in a
hybrid coupled model with data assimilation. J. Meteorol. Soc. Japan,
81:1-19. (preprint in PDF)
Wu, A. and W.W. Hsieh, 2002. Nonlinear canonical correlation analysis
of the tropical Pacific wind stress and sea surface temperature. Clim. Dynam.
19: 713-722. DOI 10.1007/s00382-002-0262-8. (preprint in PDF or
postscript)
Hamilton, K. and W.W. Hsieh, 2002. Representation of the QBO in the
tropical stratospheric wind by nonlinear principal component analysis.
J. Geophys. Res. 107(D15), 4232, DOI: 10.1029/2001JD001250 (preprint in PDF or
postscript)
Wu, A., W.W. Hsieh and A. Shabbar, 2002. Nonlinear characteristics of
the surface air temperature over Canada. J. Geophys. Res. 107(D21), 4571,
DOI: 10.1029/2001JD001090 (preprint in PDF or
postscript).
Yuval, and W.W. Hsieh, 2002. The impact of time-averaging on the
detectability of nonlinear empirical
relations. Quart. J. Roy. Met. Soc. 128: 1609-1622.
(preprint in PDF or postscript)
*** Hsieh, W.W. and A. Wu, 2002. Nonlinear multichannel
singular spectrum analysis of the tropical Pacific climate variability
using a neural network approach. J. Geophys. Res. 107(C7), 3076, DOI:
10.1029/2001JC000957. (preprint in
PDF or postscript)
Tang, Y. and W.W. Hsieh, 2002. Hybrid coupled models of the tropical
Pacific -- ENSO prediction. Clim. Dynam. 19: 343-353.
(preprint in PDF or
postscript)
*** Hsieh, W.W., 2001. Nonlinear principal component
analysis by neural networks. Tellus 53A: 599-615. (preprint in
PDF or postscript)
*** Hsieh, W.W., 2001. Nonlinear canonical correlation
analysis of the tropical Pacific climate variability using a neural
network approach. J. Climate, 14: 2528-2539. (reprint in PDF or preprint in postscript)
Tang, Y. and W.W. Hsieh, 2001. Coupling neural networks to incomplete
dynamical systems via variational data
assimilation. Mon. Wea. Rev. 129: 818-834.
(preprint in PDF or
postscript)
Haigh, S.P., K.L. Denman and W.W. Hsieh, 2001. Simulation of the
plankton ecosystem response to pre-and post-1976 forcing in an isopycnic
model of the North Pacific. Can. J. Fish. Aquat. Sci. 58: 703-722 ( reprint in PDF).
Hsieh, W.W. and B. Tang, 2001. Interannual variability of accumulated
snow in the Columbia basin, British Columbia. Water Resources
Res. 37: 1753-1759.
Tang, Y., W.W. Hsieh, B. Tang and K. Haines, 2001. A neural network
atmospheric model for hybrid coupled modelling. Climate Dynamics
17: 445-455.
(preprint in PDF or
postscript)
Tang, B., W.W. Hsieh, A.H. Monahan and F.T. Tangang, 2000. Skill
comparisons between neural networks and canonical correlation analysis
in predicting the equatorial Pacific sea surface temperatures. J. Climate
13: 287-293.
Wu, J.Q. and W.W. Hsieh, 1999. A modelling study of the 1976 climate
regime shift in the North Pacific Ocean.
Can. J. Fish. Aquat. Sci. 56: 2450-2462.
Hsieh, W.W., B. Tang and E.R. Garnett, 1999. Teleconnections between
Pacific sea surface temperatures and Canadian prairie wheat
yield. Agricul. Forest Meteorol. 96: 209-217.
Monahan, A.H., F.T. Tangang and W.W. Hsieh, 1999. A potential problem
with extended EOF analysis of standing wave fields. Atmos.-Ocean. 37:
241-254.
Hsieh, W.W. and B. Tang, 1998. Applying neural network models
to prediction and data analysis in meteorology and
oceanography. Bull. Am. Meteorol. Soc. 79: 1855-1870.
Lu, J. and W.W. Hsieh, 1998. On determining initial conditions
and parameters in a simple coupled atmosphere-ocean model by adjoint
data assimilation. Tellus 50A: 534-544.
Lu, J. and W.W. Hsieh, 1998. Adjoint data assimilation in coupled
atmosphere-ocean models-- determining initial conditions in a simple
equatorial model. J. Met. Soc. Japan. 76: 737-748.
Tangang, F.T., B. Tang, A.H. Monahan and W.W. Hsieh,
1998. Forecasting ENSO events: a neural network-extended EOF
approach. J. Climate. 11: 29-41.
Tangang, F.T., W.W. Hsieh and B. Tang, 1998. Forecasting
regional sea surface temperatures in the tropical Pacific by neural
network models, with wind stress and sea level pressure as
predictors. J. Geophys. Res. 103: 7511-7522.
Allen, S.E. and W.W. Hsieh, 1997. How does the El Niño
generated coastal current propagate past the Mendocino escarpment?
J. Geophys. Res. 102: 24,977-24,985.
Lu, J. and W.W. Hsieh, 1997. Adjoint data assimilation in
coupled atmosphere-ocean models-- Determining model parameters in a
simple equatorial model. Q. J. R. Meteorol. Soc. 123: 2115-2139.
Tangang, F.T., W.W. Hsieh and B. Tang, 1997. Forecasting the
equatorial Pacific sea surface temperatures by neural network
models. Clim. Dynam. 13: 135-147.
Hsieh, W.W. and K. Bryan, 1996. Redistribution of sea level
rise associated with enhanced greenhouse warming: A simple model study.
Clim. Dynam. 12: 535-544.
Zou, J., W.W. Hsieh and I.M. Navon, 1995. Sequential open
boundary control by data assimilation in a limited-area
model. Mon. Wea. Rev. 123: 2899-2909.
Xie, L. and W.W. Hsieh, 1995. The global distribution of
wind-induced upwelling. Fisheries Oceanography. 4: 52-67.
Hsieh, W.W., D.M. Ware and R.E. Thomson, 1995. Wind-induced
upwelling along the west coast of North America,
1899-1988. Can. J. Fish. Aquat. Sci. 52: 325-334.
Ng, M.K.F. and W.W. Hsieh, 1994. The equatorial Kelvin wave in
finite-difference models. J. Geophys. Res. 99(C7): 14,173-14,185.