Greg West
University of British Columbia
5 Papers
2 Citations
Greg West is an academic researcher from University of British Columbia. The author has contributed to research in topics: Precipitation & Quantitative precipitation forecast. The author has an hindex of 1, co-authored 1 publications.
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Papers
Updating Short-Term Probabilistic Weather Forecasts of Continuous Variables Using Recent Observations
TL;DR: The effect of the method is that the spread of the probabilistic forecasts for the first few hours after an observation has been made is considerably narrower than the original forecast, and the updated probability distributions widen back toward the originally forecast for forecast times far in the future.
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The Evolving Role of Humans in Weather Prediction and Communication
Neil Stuart,Gail Hartfield,David M. Schultz,Katie A. Wilson,Greg West,Robert R. Hoffman,Gary M. Lackmann,Harold E. Brooks,Paul J. Roebber,Teresa M. Bals-Elsholz,H. Obermeier,Falko Judt,Patrick S. Market,Daniel Nietfeld,Bruce Telfeyan,Daniel DePodwin,Jeffrey Fries,Elliot M. Abrams,J. Shields +18 more
TL;DR: The article closes with the vision for the ways that humans can maintain an essential role in weather prediction and communication, highlighting the interdependent relationship between computers and humans.
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A hybrid analog-ensemble, convolutional-neural-network method for post-processing precipitation forecasts
TL;DR: In this article , an ensemble precipitation forecast post-processing method is proposed by hybridizing the Analog Ensemble (AnEn), Minimum Divergence Schaake Shuffle (MDSS), and Convolutional Neural Network (CNN) methods.
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Optimizing Analog Ensembles for Sub-Daily Precipitation Forecasts
TL;DR: In this paper , a modification in the analog search that allows for selection of analogs within a time window surrounding the target lead time was proposed. But, this modification was not applied to the forecasting of hourly to daily precipitation.
Improved Analog Ensemble Formulation for 3-hourly Precipitation Forecasts
TL;DR: This paper investigated new statistical methods to combine analogs into ensemble forecasts and validates them for 3-hourly precipitation over the complex terrain of British Columbia, Canada, and found that applying the past analog error to the target forecast (instead of using the observations directly) reduces the AnEn dry bias and makes prediction of heavy precipitation events probabilistically more reliable.
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