View in EDS

Verification of the INMOM Circulation Model Results for the Black Sea with Variational Assimilation of Water Temperature.

Saved in:
Bibliographic Details
Title: Verification of the INMOM Circulation Model Results for the Black Sea with Variational Assimilation of Water Temperature.
Authors: Zakharova, N. B.1 (AUTHOR) zakharova_nb@inm.ras.ru, Parmuzin, E. I.1,2 (AUTHOR), Fomin, V. V.1,3 (AUTHOR), Shutyaev, V. P.1 (AUTHOR), Lezina, N. R.1 (AUTHOR)
Source: Russian Meteorology & Hydrology. Apr2026, Vol. 51 Issue 4, p299-307. 9p.
Subject Terms: *Water temperature, *Circulation models, *Ocean, *Prediction models, *Data assimilation, *Oceanographic observations, *Ocean temperature
Geographic Terms: Black Sea
Abstract: The problem of variational data assimilation for the INMOM sea circulation model implemented for the Black Sea area was investigated. An algorithm that allowed joint assimilation of satellite sea surface temperature data and three-dimensional water temperature fields was applied. The results of numerical experiments were verified against ARGO float measurement data. It was shown that the influence of sea surface temperature data assimilation remained limited at depth. At the same time, assimilation of three-dimensional water temperature fields made it possible to significantly increase the accuracy of calculated temperature fields in deep layers. The results of the study have demonstrated that three-dimensional data enable implementation of effective assimilation algorithms and can be used to improve the reliability of predictive models for marine systems. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
FullText Text:
  Availability: 0
Header DbId: enr
DbLabel: Energy & Power Source
An: 194774315
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Verification of the INMOM Circulation Model Results for the Black Sea with Variational Assimilation of Water Temperature.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zakharova%2C+N%2E+B%2E%22">Zakharova, N. B.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> zakharova_nb@inm.ras.ru</i><br /><searchLink fieldCode="AR" term="%22Parmuzin%2C+E%2E+I%2E%22">Parmuzin, E. I.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fomin%2C+V%2E+V%2E%22">Fomin, V. V.</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shutyaev%2C+V%2E+P%2E%22">Shutyaev, V. P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lezina%2C+N%2E+R%2E%22">Lezina, N. R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Russian+Meteorology+%26+Hydrology%22">Russian Meteorology & Hydrology</searchLink>. Apr2026, Vol. 51 Issue 4, p299-307. 9p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Water+temperature%22">Water temperature</searchLink><br />*<searchLink fieldCode="DE" term="%22Circulation+models%22">Circulation models</searchLink><br />*<searchLink fieldCode="DE" term="%22Ocean%22">Ocean</searchLink><br />*<searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+assimilation%22">Data assimilation</searchLink><br />*<searchLink fieldCode="DE" term="%22Oceanographic+observations%22">Oceanographic observations</searchLink><br />*<searchLink fieldCode="DE" term="%22Ocean+temperature%22">Ocean temperature</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Black+Sea%22">Black Sea</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The problem of variational data assimilation for the INMOM sea circulation model implemented for the Black Sea area was investigated. An algorithm that allowed joint assimilation of satellite sea surface temperature data and three-dimensional water temperature fields was applied. The results of numerical experiments were verified against ARGO float measurement data. It was shown that the influence of sea surface temperature data assimilation remained limited at depth. At the same time, assimilation of three-dimensional water temperature fields made it possible to significantly increase the accuracy of calculated temperature fields in deep layers. The results of the study have demonstrated that three-dimensional data enable implementation of effective assimilation algorithms and can be used to improve the reliability of predictive models for marine systems. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194774315
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3103/S1068373926040035
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 299
    Subjects:
      – SubjectFull: Water temperature
        Type: general
      – SubjectFull: Circulation models
        Type: general
      – SubjectFull: Ocean
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Data assimilation
        Type: general
      – SubjectFull: Oceanographic observations
        Type: general
      – SubjectFull: Ocean temperature
        Type: general
      – SubjectFull: Black Sea
        Type: general
    Titles:
      – TitleFull: Verification of the INMOM Circulation Model Results for the Black Sea with Variational Assimilation of Water Temperature.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zakharova, N. B.
      – PersonEntity:
          Name:
            NameFull: Parmuzin, E. I.
      – PersonEntity:
          Name:
            NameFull: Fomin, V. V.
      – PersonEntity:
          Name:
            NameFull: Shutyaev, V. P.
      – PersonEntity:
          Name:
            NameFull: Lezina, N. R.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10683739
          Numbering:
            – Type: volume
              Value: 51
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Russian Meteorology & Hydrology
              Type: main
ResultId 1