Nonlinear Characteristics of Ensemble Perturbation Evolution and their Application to Forecasting High-impact Events

Brian Ancell

Nonlinear Characteristics of Ensemble Perturbation Evolution and their Application to Forecasting High-impact Events

Geosciences

Research output: Contribution to journal › Article › peer-review

Abstract

This work exmaines linear vs. nonlinear perturbation evolution in an ensemble forecasting system. It also develops best-member techniques toward improving the predictability of high-impact events within an ensemble framework.

Original language	English
Pages (from-to)	1353-1365
Journal	Weather and Forecasting/American Meteorological Society
State	Published - Dec 2013

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title = "Nonlinear Characteristics of Ensemble Perturbation Evolution and their Application to Forecasting High-impact Events",

abstract = "This work exmaines linear vs. nonlinear perturbation evolution in an ensemble forecasting system. It also develops best-member techniques toward improving the predictability of high-impact events within an ensemble framework.",

author = "Brian Ancell",

year = "2013",

month = dec,

language = "English",

pages = "1353--1365",

journal = "Weather and Forecasting/American Meteorological Society",

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AU - Ancell, Brian

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EP - 1365

JO - Weather and Forecasting/American Meteorological Society

JF - Weather and Forecasting/American Meteorological Society

ER -

Nonlinear Characteristics of Ensemble Perturbation Evolution and their Application to Forecasting High-impact Events

Abstract

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