Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloEnsemble using different Planetary Boundary Layer schemes in WRF model for wind speed and direction prediction over Apulia region
Anno di pubblicazione2017
Autore/iTateo A, Miglietta M, Fedele F, Menegotto M, Monaco A, Bellotti R,
Affiliazioni autoriARPA Puglia ISAC-CNR Università di Bari INFN
Autori CNR e affiliazioni
  • inglese
AbstractThe Weather Research and Forecasting mesoscale model (WRF) was used to simulate hourly 10m wind speed and direction over the city of Taranto, Apulia region (south-eastern Italy). This area is characterized by a large industrial complex including the largest European steel plant and is subject to a Regional Air Quality Recovery Plan. This plan constrains industries in the area to reduce by 10% the mean daily emissions by diffuse and point sources during specific meteorological conditions named wind days. According to the Recovery Plan, the Regional Environmental Agency ARPA-PUGLIA is responsible for forecasting these specific meteorological conditions with 72 h in advance and possibly issue the early warning. In particular, an accurate wind simulation is required. Unfortunately, numerical weather prediction models suffer from errors, especially for what concerns near-surface fields. These errors depend primarily on uncertainties in the initial and boundary conditions provided by global models and secondly on the model formulation, in particular the physical parametrizations used to represent processes such as turbulence, radiation exchange, cumulus and microphysics. In our work, we tried to compensate for the latter limitation by using different Planetary Boundary Layer (PBL) parameterization schemes. Five combinations of PBL and Surface Layer (SL) schemes were considered. Simulations are implemented in a real-time configuration since our intention is to analyze the same configuration implemented by ARPA-PUGLIA for operational runs; the validation is focused over a time range extending from 49 to 72 h with hourly time resolution. The assessment of the performance was computed by comparing the WRF model output with ground data measured at a weather monitoring station in Taranto, near the steel plant. After the analysis of the simulations performed with different PBL schemes, both simple (e.g. average) and more complex post-processing methods (e.g. weighted average, linear and nonlinear regression, and artificial neural network) are adopted to improve the performances with respect to the output of each single setup. The neural network approach comes out as the most promising method.
Lingua abstractinglese
Altro abstract-
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Pagine da95
Pagine a102
Pagine totali8
RivistaAdvances in science and research (Print)
Attiva dal 2007
Editore: Copernicus Publ. - Göttingen
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1992-0628
Titolo chiave: Advances in science and research (Print)
Titolo proprio: Advances in science and research. (Print)
Titolo abbreviato: Adv. sci res. (Print)
Titolo alternativo: ASR (Print) (Print)
Numero volume della rivista14
Fascicolo della rivista-
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveWRF model; air quality
Link (URL, URI)
Titolo parallelo-
Scadenza embargo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • ISAC — Istituto di scienze dell'atmosfera e del clima
Moduli/Attività/Sottoprogetti CNR
  • TA.P06.017.003 : Meteorologia dinamica
Progetti Europei-
paper (documento privato )
Descrizione: pubblicazione
Tipo documento: application/pdf