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Reanalysis-based mesoscale wind maps for the design of structures and infrastructures with an application to Italy.

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Title: Reanalysis-based mesoscale wind maps for the design of structures and infrastructures with an application to Italy.
Authors: Raffaele, Lorenzo1 (AUTHOR) lorenzo.raffaele@polito.it, Bruno, Luca1 (AUTHOR), Colucci, Elisabetta1 (AUTHOR)
Source: Journal of Wind Engineering & Industrial Aerodynamics. Oct2024, Vol. 253, pN.PAG-N.PAG. 1p.
Subjects: Building sites, Numerical weather forecasting, Downscaling (Climatology), Wind speed, Map design
Abstract: Synoptic extreme winds are traditionally mapped at the lower bound of the countrywide macroscale resolution (hundreds of km) on the basis of time series measured at land anemometric stations, while the assessment of the design wind speed at the construction site is entrusted to the designer within the so-called return criterion. Coarse, uneven distribution of the stations, uncertainties in their setup, measurement errors, challenging subjective evaluation of the exposure roughness, inconsistencies among national wind provisions are some of the critical issues affecting the in force map-and-return approach. This study is intended to test an alternative approach to directly assess the wind hazard at the lower bound of the meso- γ scale resolution (about 2 km) around a construction site. The approach is grounded on data issued from a weather forecast computational model, its reanalysis by means of assimilated remote sensing observations, and possibly its downscaling. Three different reanalysis/downscaling models are adopted. The resulting wind maps over the Italian Country are critically compared with measurements at 21 stations. The errors made by each model are assessed for current and extreme wind speed with different return periods. Finally, a reanalysis-based engineering approach to design wind speed is presented by proposing model correction factors. • The limitations of the current anemometric station-based wind maps are discussed. • The performances of reanalysis models are compared with anemometric measurements. • Full wind maps are drawn over the whole Italian Country for the best performing model. • The reanalysis-and-height adjust approach is proposed and perspectives are discussed. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Wind Engineering & Industrial Aerodynamics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 179630067
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Reanalysis-based mesoscale wind maps for the design of structures and infrastructures with an application to Italy.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Raffaele%2C+Lorenzo%22">Raffaele, Lorenzo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lorenzo.raffaele@polito.it</i><br /><searchLink fieldCode="AR" term="%22Bruno%2C+Luca%22">Bruno, Luca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colucci%2C+Elisabetta%22">Colucci, Elisabetta</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Wind+Engineering+%26+Industrial+Aerodynamics%22">Journal of Wind Engineering & Industrial Aerodynamics</searchLink>. Oct2024, Vol. 253, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Building+sites%22">Building sites</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+weather+forecasting%22">Numerical weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Downscaling+%28Climatology%29%22">Downscaling (Climatology)</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink><br /><searchLink fieldCode="DE" term="%22Map+design%22">Map design</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Synoptic extreme winds are traditionally mapped at the lower bound of the countrywide macroscale resolution (hundreds of km) on the basis of time series measured at land anemometric stations, while the assessment of the design wind speed at the construction site is entrusted to the designer within the so-called return criterion. Coarse, uneven distribution of the stations, uncertainties in their setup, measurement errors, challenging subjective evaluation of the exposure roughness, inconsistencies among national wind provisions are some of the critical issues affecting the in force map-and-return approach. This study is intended to test an alternative approach to directly assess the wind hazard at the lower bound of the meso- γ scale resolution (about 2 km) around a construction site. The approach is grounded on data issued from a weather forecast computational model, its reanalysis by means of assimilated remote sensing observations, and possibly its downscaling. Three different reanalysis/downscaling models are adopted. The resulting wind maps over the Italian Country are critically compared with measurements at 21 stations. The errors made by each model are assessed for current and extreme wind speed with different return periods. Finally, a reanalysis-based engineering approach to design wind speed is presented by proposing model correction factors. • The limitations of the current anemometric station-based wind maps are discussed. • The performances of reanalysis models are compared with anemometric measurements. • Full wind maps are drawn over the whole Italian Country for the best performing model. • The reanalysis-and-height adjust approach is proposed and perspectives are discussed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Wind Engineering & Industrial Aerodynamics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=179630067
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jweia.2024.105844
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Building sites
        Type: general
      – SubjectFull: Numerical weather forecasting
        Type: general
      – SubjectFull: Downscaling (Climatology)
        Type: general
      – SubjectFull: Wind speed
        Type: general
      – SubjectFull: Map design
        Type: general
    Titles:
      – TitleFull: Reanalysis-based mesoscale wind maps for the design of structures and infrastructures with an application to Italy.
        Type: main
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          Name:
            NameFull: Raffaele, Lorenzo
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          Name:
            NameFull: Bruno, Luca
      – PersonEntity:
          Name:
            NameFull: Colucci, Elisabetta
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          Dates:
            – D: 01
              M: 10
              Text: Oct2024
              Type: published
              Y: 2024
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              Value: 01676105
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            – Type: volume
              Value: 253
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            – TitleFull: Journal of Wind Engineering & Industrial Aerodynamics
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