Quality of Soil Simulation by the INM RAS–MSU Soil Scheme as a Part of the SL-AV Weather Prediction Model.
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| Title: | Quality of Soil Simulation by the INM RAS–MSU Soil Scheme as a Part of the SL-AV Weather Prediction Model. |
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| Authors: | Travova, S. V.1 (AUTHOR) makhnorylova@gmail.com, Stepanenko, V. M.1,2,3 (AUTHOR), Medvedev, A. I.1,4 (AUTHOR), Tolstykh, M. A.1,5 (AUTHOR), Bogomolov, V. Yu.6 (AUTHOR) |
| Source: | Russian Meteorology & Hydrology. Mar2022, Vol. 47 Issue 3, p159-173. 15p. |
| Subject Terms: | *Weather forecasting, *Soil quality, *Soil profiles, *Prediction models, *Soil moisture, *Soil temperature |
| Geographic Terms: | Western Europe |
| Abstract: | In situ soil moisture and temperature observations are used to evaluate soil moisture and temperature analysis of the global atmospheric model SL-AV for the summer season of 2014 across Western Europe. It is shown that the seasonal temperature analysis trends are reproduced better than the seasonal trends of soil moisture. Numerical experiments with the offline land surface scheme demonstrated that the implementation of the Mualem–van Genuchten water retention curve has the advantage for describing the processes of soil moisture transfer in comparison with Brooks–Corey parameterization. The last one is used in the basic version of the model. The Mualem–van Genuchten function provides better computational stability of the soil model in case of soils with high coarse grain content. An important contribution to the soil moisture error in the analysis and forecast is caused by specifying an inaccurate profile of the soil granulometric composition. It indicates a need to involve state-of-the-art databases for soil characteristics. [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: 157713279 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Quality of Soil Simulation by the INM RAS–MSU Soil Scheme as a Part of the SL-AV Weather Prediction Model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Travova%2C+S%2E+V%2E%22">Travova, S. V.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> makhnorylova@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Stepanenko%2C+V%2E+M%2E%22">Stepanenko, V. M.</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Medvedev%2C+A%2E+I%2E%22">Medvedev, A. I.</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tolstykh%2C+M%2E+A%2E%22">Tolstykh, M. A.</searchLink><relatesTo>1,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bogomolov%2C+V%2E+Yu%2E%22">Bogomolov, V. Yu.</searchLink><relatesTo>6</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Russian+Meteorology+%26+Hydrology%22">Russian Meteorology & Hydrology</searchLink>. Mar2022, Vol. 47 Issue 3, p159-173. 15p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+quality%22">Soil quality</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+profiles%22">Soil profiles</searchLink><br />*<searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+moisture%22">Soil moisture</searchLink><br />*<searchLink fieldCode="DE" term="%22Soil+temperature%22">Soil temperature</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Western+Europe%22">Western Europe</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In situ soil moisture and temperature observations are used to evaluate soil moisture and temperature analysis of the global atmospheric model SL-AV for the summer season of 2014 across Western Europe. It is shown that the seasonal temperature analysis trends are reproduced better than the seasonal trends of soil moisture. Numerical experiments with the offline land surface scheme demonstrated that the implementation of the Mualem–van Genuchten water retention curve has the advantage for describing the processes of soil moisture transfer in comparison with Brooks–Corey parameterization. The last one is used in the basic version of the model. The Mualem–van Genuchten function provides better computational stability of the soil model in case of soils with high coarse grain content. An important contribution to the soil moisture error in the analysis and forecast is caused by specifying an inaccurate profile of the soil granulometric composition. It indicates a need to involve state-of-the-art databases for soil characteristics. [ABSTRACT FROM AUTHOR] |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3103/S1068373922030013 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 159 Subjects: – SubjectFull: Weather forecasting Type: general – SubjectFull: Soil quality Type: general – SubjectFull: Soil profiles Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Soil moisture Type: general – SubjectFull: Soil temperature Type: general – SubjectFull: Western Europe Type: general Titles: – TitleFull: Quality of Soil Simulation by the INM RAS–MSU Soil Scheme as a Part of the SL-AV Weather Prediction Model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Travova, S. V. – PersonEntity: Name: NameFull: Stepanenko, V. M. – PersonEntity: Name: NameFull: Medvedev, A. I. – PersonEntity: Name: NameFull: Tolstykh, M. A. – PersonEntity: Name: NameFull: Bogomolov, V. Yu. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 10683739 Numbering: – Type: volume Value: 47 – Type: issue Value: 3 Titles: – TitleFull: Russian Meteorology & Hydrology Type: main |
| ResultId | 1 |
