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A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations (CROSBI ID 164070)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Palmer, T.N. ; Branković, Čedomir ; Richardson, D. A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations // Quarterly Journal of the Royal Meteorological Society, 126 (2000), 567; 2013-2033. doi: 10.1002/qj.49712656703

Podaci o odgovornosti

Palmer, T.N. ; Branković, Čedomir ; Richardson, D.

engleski

A probability and decision-model analysis of PROVOST seasonal multi-model ensemble integrations

A probabilistic analysis is made of seasonal ensemble integrations from the PROVOST project. The results from the analysis of relative operating characteristic are input to a simple decision model. Results from the Brier skill score analysis indicate that the multi-model ensemble is substantially more skilful than climatology. Both reliability and resolution are better for the multi-model ensemble than for the individual-model ensembles. The decision model analysis show that the economic value of seasonal forecasts is strongly dependent on the cost to the user of taking precautionary action against the event considered.

decision-model analysis; ensemble integrations; seasona predictability

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Podaci o izdanju

126 (567)

2000.

2013-2033

objavljeno

0035-9009

10.1002/qj.49712656703

Povezanost rada

Geologija

Poveznice
Indeksiranost