Articles | Volume 15, issue 1
https://doi.org/10.5194/hess-15-65-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-15-65-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
06 Jan 2011
Seasonal prediction of winter extreme precipitation over Canada by support vector regression
Z. Zeng
Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
now at: COSMIC Project Office, UCAR, Boulder, CO 80301, USA
W. W. Hsieh
Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
A. Shabbar
Climate Research Division, Environment Canada, Toronto, Ontario, Canada
W. R. Burrows
Meteorological Research Division, Environment Canada, Edmonton, Alberta, Canada
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- Monthly Maximum Accumulated Precipitation Forecasting Using Local Precipitation Data and Global Climate Modes J. Sulaiman et al. 10.20965/jaciii.2014.p0999
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- Predictive performance of ensemble hydroclimatic forecasts: Verification metrics, diagnostic plots and forecast attributes Z. Huang & T. Zhao 10.1002/wat2.1580
- Predictability of spatial distribution of pre-summer extreme precipitation days over southern China revealed by the physical-based empirical model J. Li et al. 10.1007/s00382-023-06681-2
- Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery L. Chen et al. 10.3390/f9100582
- Multistep‐ahead flood forecasts by neuro‐fuzzy networks with effective rainfall–run‐off patterns F. Chang et al. 10.1111/jfr3.12089
- A hybrid approach for El Niño prediction based on Empirical Mode Decomposition and convolutional LSTM Encoder-Decoder S. Wang et al. 10.1016/j.cageo.2021.104695
- Using large‐scale climatic patterns for improving long lead time streamflow forecasts for Gunnison and San Juan River Basins A. Kalra et al. 10.1002/hyp.9236
- Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods M. Johnson et al. 10.1016/j.agrformet.2015.11.003
- An integrated two-stage support vector machine approach to forecast inundation maps during typhoons B. Jhong et al. 10.1016/j.jhydrol.2017.01.057
- Potential Salinity and Temperature Futures for the Chesapeake Bay Using a Statistical Downscaling Spatial Disaggregation Framework B. Muhling et al. 10.1007/s12237-017-0280-8
- Dynamical and Machine Learning Hybrid Seasonal Prediction of Summer Rainfall in China J. Wang et al. 10.1007/s13351-021-0185-0
- Statistical calibration and bridging of ECMWF System4 outputs for forecasting seasonal precipitation over China Z. Peng et al. 10.1002/2013JD021162
- Evaluation of ocean-atmospheric indices as predictors for summer streamflow of the Yangtze River based on ROC analysis R. He et al. 10.1007/s00477-018-1551-z
- Comparison of the temporal variability of winter daily extreme temperatures and precipitations in southern Quebec (Canada) using the Lombard and copula methods N. Guerfi et al. 10.1002/joc.4282
- Mapping Aboveground Biomass using Texture Indices from Aerial Photos in a Temperate Forest of Northeastern China S. Meng et al. 10.3390/rs8030230
- Hour-ahead demand forecasting in smart grid using support vector regression (SVR) S. Fattaheian-Dehkordi et al. 10.1002/etep.1791
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- Spatiotemporal variations of extreme precipitation and its potential driving factors in China’s North-South Transition Zone during 1960–2017 L. Wang et al. 10.1016/j.atmosres.2020.105429
- Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning J. Li et al. 10.1029/2020WR029413
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