Adaptive calibration of (u,v)‐wind ensemble forecasts

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Adaptive calibration of (u,v)‐wind ensemble forecasts. / Pinson, Pierre.

In: Royal Meteorological Society. Quarterly Journal, Vol. 138, No. 666, 2012, p. 1273-1284.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

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Author

Pinson, Pierre / Adaptive calibration of (u,v)‐wind ensemble forecasts.

In: Royal Meteorological Society. Quarterly Journal, Vol. 138, No. 666, 2012, p. 1273-1284.

Publication: Research - peer-reviewJournal article – Annual report year: 2012

Bibtex

@article{721186f8a47a43acbec056b79816c42c,
title = "Adaptive calibration of (u,v)‐wind ensemble forecasts",
publisher = "John/Wiley & Sons Ltd.",
author = "Pierre Pinson",
year = "2012",
doi = "10.1002/qj.1873",
volume = "138",
number = "666",
pages = "1273--1284",
journal = "Royal Meteorological Society. Quarterly Journal",
issn = "0035-9009",

}

RIS

TY - JOUR

T1 - Adaptive calibration of (u,v)‐wind ensemble forecasts

A1 - Pinson,Pierre

AU - Pinson,Pierre

PB - John/Wiley & Sons Ltd.

PY - 2012

Y1 - 2012

N2 - Ensemble forecasts of (u,v)‐wind are of crucial importance for a number of decision‐making problems related to e.g. air traffic control, ship routeing and energy management. The skill of these ensemble forecasts as generated by NWP‐based models can be maximised by correcting for their lack of sufficient reliability. The original framework introduced here allows for an adaptive bivariate calibration of these ensemble forecasts. The originality of this methodology lies in the fact that calibrated ensembles still consist of a set of (space–time) trajectories, after translation and dilation. In parallel, the parameters of the models employed for improving the stochastic properties of the generating processes involved are adaptively and recursively estimated to accommodate smooth changes in the process characteristics and to lower computational costs. The approach is applied and evaluated based on the adaptive calibration of ECMWF ensemble forecasts of (u,v)‐wind at 10 m above ground level over Europe over a three‐year period between December 2006 and December 2009. Substantial improvements in (bivariate) reliability and in various deterministic/probabilistic scores are observed. Finally, the maps of translation and dilation factors are discussed. Copyright © 2012 Royal Meteorological Society

AB - Ensemble forecasts of (u,v)‐wind are of crucial importance for a number of decision‐making problems related to e.g. air traffic control, ship routeing and energy management. The skill of these ensemble forecasts as generated by NWP‐based models can be maximised by correcting for their lack of sufficient reliability. The original framework introduced here allows for an adaptive bivariate calibration of these ensemble forecasts. The originality of this methodology lies in the fact that calibrated ensembles still consist of a set of (space–time) trajectories, after translation and dilation. In parallel, the parameters of the models employed for improving the stochastic properties of the generating processes involved are adaptively and recursively estimated to accommodate smooth changes in the process characteristics and to lower computational costs. The approach is applied and evaluated based on the adaptive calibration of ECMWF ensemble forecasts of (u,v)‐wind at 10 m above ground level over Europe over a three‐year period between December 2006 and December 2009. Substantial improvements in (bivariate) reliability and in various deterministic/probabilistic scores are observed. Finally, the maps of translation and dilation factors are discussed. Copyright © 2012 Royal Meteorological Society

KW - Ensemble prediction

KW - Probabilistic calibration

KW - Bivariate processes

KW - Recursive estimation

KW - Near-surface wind

U2 - 10.1002/qj.1873

DO - 10.1002/qj.1873

JO - Royal Meteorological Society. Quarterly Journal

JF - Royal Meteorological Society. Quarterly Journal

SN - 0035-9009

IS - 666

VL - 138

SP - 1273

EP - 1284

ER -