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Global Analysis of the Sensitivity of Prognostic Meteorological Fields to the Changes in the Surface Parameters of Saint Petersburg.

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Title: Global Analysis of the Sensitivity of Prognostic Meteorological Fields to the Changes in the Surface Parameters of Saint Petersburg.
Authors: Ladokhina, E. M.1,2,3 (AUTHOR) katur.job@mail.ru
Source: Russian Meteorology & Hydrology. Jan2025, Vol. 50 Issue 1, p50-58. 9p.
Subject Terms: *Numerical weather forecasting, *Urban heat islands, *Surface roughness, *Sensitivity analysis, *Wind speed
Abstract: Global sensitivity analysis of individual prognostic fields computed by the WRF-ARW numerical weather prediction model to the change of the major urban surface parameters describing the urban surface of Saint Petersburg is carried out. Numerical experiments were held for several dates of the 2015 warm season, when urban heat island was observed. The Morris method for global sensitivity analysis was used to quantify the most influential parameters. The quantitative assessment of the individual and joint contribution of the urban surface parameters was carried out using the Sobol method and machine learning to build surrogate models. As a result, it turned out that the surface temperature field is most sensitive to the changes in albedo in the daytime and in surface roughness and thermal inertia at night; the wind speed field is most sensitive to the changes in surface roughness at any time of a day; the relative humidity field is strongly influenced by the changes in soil moisture in the daytime and in surface roughness at night. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 184385600
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Label: Title
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  Data: Global Analysis of the Sensitivity of Prognostic Meteorological Fields to the Changes in the Surface Parameters of Saint Petersburg.
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  Data: <searchLink fieldCode="AR" term="%22Ladokhina%2C+E%2E+M%2E%22">Ladokhina, E. M.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<i> katur.job@mail.ru</i>
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  Data: <searchLink fieldCode="JN" term="%22Russian+Meteorology+%26+Hydrology%22">Russian Meteorology & Hydrology</searchLink>. Jan2025, Vol. 50 Issue 1, p50-58. 9p.
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  Data: *<searchLink fieldCode="DE" term="%22Numerical+weather+forecasting%22">Numerical weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Urban+heat+islands%22">Urban heat islands</searchLink><br />*<searchLink fieldCode="DE" term="%22Surface+roughness%22">Surface roughness</searchLink><br />*<searchLink fieldCode="DE" term="%22Sensitivity+analysis%22">Sensitivity analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+speed%22">Wind speed</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Global sensitivity analysis of individual prognostic fields computed by the WRF-ARW numerical weather prediction model to the change of the major urban surface parameters describing the urban surface of Saint Petersburg is carried out. Numerical experiments were held for several dates of the 2015 warm season, when urban heat island was observed. The Morris method for global sensitivity analysis was used to quantify the most influential parameters. The quantitative assessment of the individual and joint contribution of the urban surface parameters was carried out using the Sobol method and machine learning to build surrogate models. As a result, it turned out that the surface temperature field is most sensitive to the changes in albedo in the daytime and in surface roughness and thermal inertia at night; the wind speed field is most sensitive to the changes in surface roughness at any time of a day; the relative humidity field is strongly influenced by the changes in soil moisture in the daytime and in surface roughness at night. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=184385600
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      – Type: doi
        Value: 10.3103/S1068373925010078
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 50
    Subjects:
      – SubjectFull: Numerical weather forecasting
        Type: general
      – SubjectFull: Urban heat islands
        Type: general
      – SubjectFull: Surface roughness
        Type: general
      – SubjectFull: Sensitivity analysis
        Type: general
      – SubjectFull: Wind speed
        Type: general
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      – TitleFull: Global Analysis of the Sensitivity of Prognostic Meteorological Fields to the Changes in the Surface Parameters of Saint Petersburg.
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            NameFull: Ladokhina, E. M.
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            – D: 01
              M: 01
              Text: Jan2025
              Type: published
              Y: 2025
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            – TitleFull: Russian Meteorology & Hydrology
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