Scipediacontent: Scipediacontent moved page Draft Content 183889803 to Pinson 2012a

2021-02-16T11:30:20Z

Scipediacontent moved page Draft Content 183889803 to Pinson 2012a

Scipediacontent: Created page with " == Abstract == 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..."

2021-02-16T11:30:16Z

Created page with " == Abstract == 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..."

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== Abstract ==

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

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.1002/qj.1873 http://dx.doi.org/10.1002/qj.1873]

* [https://rmets.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/qj.1873 https://rmets.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/qj.1873]

* [https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.1873 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.1873],
: [http://onlinelibrary.wiley.com/wol1/doi/10.1002/qj.1873/fullpdf http://onlinelibrary.wiley.com/wol1/doi/10.1002/qj.1873/fullpdf],
: [http://dx.doi.org/10.1002/qj.1873 http://dx.doi.org/10.1002/qj.1873] under the license http://doi.wiley.com/10.1002/tdm_license_1.1

* [https://orbit.dtu.dk/en/publications/721186f8-a47a-43ac-bec0-56b79816c42c https://orbit.dtu.dk/en/publications/721186f8-a47a-43ac-bec0-56b79816c42c],
: [https://doi.org/10.1002/qj.1873 https://doi.org/10.1002/qj.1873],
: [https://backend.orbit.dtu.dk/ws/files/25857932/3E2A9d01.pdf https://backend.orbit.dtu.dk/ws/files/25857932/3E2A9d01.pdf]

* [https://orbit.dtu.dk/files/25857932/3E2A9d01.pdf https://orbit.dtu.dk/files/25857932/3E2A9d01.pdf],
: [https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.1873 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.1873],
: [http://ui.adsabs.harvard.edu/abs/2012QJRMS.138.1273P/abstract http://ui.adsabs.harvard.edu/abs/2012QJRMS.138.1273P/abstract],
: [https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.1873 https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.1873],
: [http://onlinelibrary.wiley.com/doi/10.1002/qj.1873/full?scrollTo=footer-citing http://onlinelibrary.wiley.com/doi/10.1002/qj.1873/full?scrollTo=footer-citing],
: [https://academic.microsoft.com/#/detail/1980446662 https://academic.microsoft.com/#/detail/1980446662]

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Pinson 2012a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 183889803 to Pinson 2012a

Scipediacontent: Created page with " == Abstract == 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..."