A fully data-driven method for predicting Antarctic sea ice concentrations using temporal mixture analysis and an autoregressive model

Research paper by Junhwa Chi, Hyun-;Cheol Kim

Indexed on: 08 Oct '16Published on: 29 Sep '16Published in: Remote sensing letters (Print)

Abstract

Authors: Junhwa Chi ; Hyun-Cheol Kim Article URL: http://www.tandfonline.com/doi/full/10.1080/2150704X.2016.1234726?ai=z4&mi=3fqos0&af=R Citation: Remote Sensing Letters Publication Date: 2016-09-29T12:38:07Z Journal: Remote Sensing Letters

A fully data-driven method for predicting Antarctic sea ice concentrations using temporal mixture analysis and an autoregressive model

Abstract

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A fully data-driven method for predicting Antarctic sea ice concentrations using temporal mixture analysis and an autoregressive model

Abstract

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