Application of the COSMO-Ru System for Aircraft Icing Prediction over the Russian Federation Area.
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| Title: | Application of the COSMO-Ru System for Aircraft Icing Prediction over the Russian Federation Area. |
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| Authors: | Ivanova, A. R.1 (AUTHOR) ivanova@mecom.ru, Skriptunova, E. N.1 (AUTHOR), Komasko, N. I.1 (AUTHOR), Zavyalova, A. A.1 (AUTHOR) |
| Source: | Russian Meteorology & Hydrology. Jun2022, Vol. 47 Issue 6, p437-448. 12p. |
| Subject Terms: | *Forecasting |
| Geographic Terms: | Russia |
| Abstract: | A method is proposed for in-flight icing prediction up to 12 hours based on the output of the COSMO-Ru configuration of the COSMO model with a grid step of 6.6 km for the Russian Federation area. The calculation of the simplified forecast icing potential (SFIP) using model microphysics data versus AIREP Speci information allowed determining a threshold value of , the exceeding of which is an icing criterion. A good agreement was found between the icing zones obtained by SFIP and the areas identified according to the condition , . To distinguish severe icing, it is proposed to use the values of model liquid water content exceeding 0.4 g/kg [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 158934875 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of the COSMO-Ru System for Aircraft Icing Prediction over the Russian Federation Area. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ivanova%2C+A%2E+R%2E%22">Ivanova, A. R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ivanova@mecom.ru</i><br /><searchLink fieldCode="AR" term="%22Skriptunova%2C+E%2E+N%2E%22">Skriptunova, E. N.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Komasko%2C+N%2E+I%2E%22">Komasko, N. I.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zavyalova%2C+A%2E+A%2E%22">Zavyalova, A. A.</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>. Jun2022, Vol. 47 Issue 6, p437-448. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Forecasting%22">Forecasting</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Russia%22">Russia</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A method is proposed for in-flight icing prediction up to 12 hours based on the output of the COSMO-Ru configuration of the COSMO model with a grid step of 6.6 km for the Russian Federation area. The calculation of the simplified forecast icing potential (SFIP) using model microphysics data versus AIREP Speci information allowed determining a threshold value of , the exceeding of which is an icing criterion. A good agreement was found between the icing zones obtained by SFIP and the areas identified according to the condition , . To distinguish severe icing, it is proposed to use the values of model liquid water content exceeding 0.4 g/kg [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=158934875 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3103/S1068373922060036 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 437 Subjects: – SubjectFull: Forecasting Type: general – SubjectFull: Russia Type: general Titles: – TitleFull: Application of the COSMO-Ru System for Aircraft Icing Prediction over the Russian Federation Area. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ivanova, A. R. – PersonEntity: Name: NameFull: Skriptunova, E. N. – PersonEntity: Name: NameFull: Komasko, N. I. – PersonEntity: Name: NameFull: Zavyalova, A. A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 10683739 Numbering: – Type: volume Value: 47 – Type: issue Value: 6 Titles: – TitleFull: Russian Meteorology & Hydrology Type: main |
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