The scope of the Kalman filter for spatio‐temporal applications in environmental science

The Kalman filter is a workhorse of dynamical modeling. But there are challenges when using the Kalman filter in environmental science: the complexity of environmental processes, the complicated and irregular nature of many environmental datasets, and the scale of environmental datasets, which may c...

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Veröffentlicht in:	Environmetrics (London, Ont.) Ont.), 2023-02, Vol.34 (1), p.n/a
Hauptverfasser:	Rougier, Jonathan, Brady, Aoibheann, Bamber, Jonathan, Chuter, Stephen, Royston, Sam, Vishwakarma, Bramha Dutt, Westaway, Richard, Ziegler, Yann
Format:	Artikel
Sprache:	eng
Schlagworte:	areal observations basis expansion local linear trend sequential updating truncation error upscaling
Online-Zugang:	Volltext
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