Statistical downscaling of WRF mesoscale simulations using an artificial neural network to forecast winds at local, unresolved scale

F. Dupuy; T. Hedde; P. Roubin; P. Durand

Conference Papers Year : 2016

Statistical downscaling of WRF mesoscale simulations using an artificial neural network to forecast winds at local, unresolved scale

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F. Dupuy

Function : Author

CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire)

T. Hedde

Function : Author

CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire)

P. Roubin

Function : Author

CEA-Direction des Energies (ex-Direction de l'Energie Nucléaire)

P. Durand

Function : Author

Laboratoire d'aérologie

Keywords

simulation WRF Artificial Neural Network valley wind stability thermal winds downscaling

Domains

Physics [physics] Nuclear Experiment [nucl-ex] Physics [physics] Nuclear Theory [nucl-th]

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201600002667.pdf (1.07 Mo)

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https://hal-cea.archives-ouvertes.fr/cea-02438703

Submitted on : Thursday, February 27, 2020-2:20:32 PM

Last modification on : Wednesday, November 16, 2022-11:46:08 AM

Long-term archiving on: Thursday, May 28, 2020-12:28:57 PM

Dates and versions

cea-02438703 , version 1 (27-02-2020)

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HAL Id : cea-02438703 , version 1

Cite

F. Dupuy, T. Hedde, P. Roubin, P. Durand. Statistical downscaling of WRF mesoscale simulations using an artificial neural network to forecast winds at local, unresolved scale. European Meteorological Society 2016, Sep 2016, Trieste, Italy. ⟨cea-02438703⟩

Statistical downscaling of WRF mesoscale simulations using an artificial neural network to forecast winds at local, unresolved scale

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