Artificial Intelligence and Its Application in Numerical Weather Prediction.
Saved in:
| Title: | Artificial Intelligence and Its Application in Numerical Weather Prediction. |
|---|---|
| Authors: | Soldatenko, S. A.1,2 (AUTHOR) soldatenko@aari.ru |
| Source: | Russian Meteorology & Hydrology. Apr2024, Vol. 49 Issue 4, p283-298. 16p. |
| Subject Terms: | *Artificial intelligence, *Long-range weather forecasting, *Weather forecasting, *Numerical weather forecasting, *Computer science, *Weather, *Quality control |
| Abstract: | Artificial intelligence is one of the most popular, frequently discussed, and, meanwhile, ambiguous and controversial metaphorical concepts, which defines a scientific direction in computer science that studies the techniques for gaining knowledge, their computer representation, transformation, and application. Presently, it is intensively penetrating into many areas of human activities, including hydrometeorological ones. The concept of artificial intelligence, the history of its origin, and its methods and technologies are considered. The author analyzes the studies related to the use of artificial intelligence in short- and medium-range weather forecasting, including the collection and quality control of meteorological information, assimilation of data in order to generate initial conditions for numerical weather prediction models, development of forecast models and parameterization schemes for physical processes, postprocessing and physical-statistical interpretation of the output data of numerical weather prediction models. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 178129901 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Artificial Intelligence and Its Application in Numerical Weather Prediction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Soldatenko%2C+S%2E+A%2E%22">Soldatenko, S. A.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> soldatenko@aari.ru</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Russian+Meteorology+%26+Hydrology%22">Russian Meteorology & Hydrology</searchLink>. Apr2024, Vol. 49 Issue 4, p283-298. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Long-range+weather+forecasting%22">Long-range weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Numerical+weather+forecasting%22">Numerical weather forecasting</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br />*<searchLink fieldCode="DE" term="%22Weather%22">Weather</searchLink><br />*<searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Artificial intelligence is one of the most popular, frequently discussed, and, meanwhile, ambiguous and controversial metaphorical concepts, which defines a scientific direction in computer science that studies the techniques for gaining knowledge, their computer representation, transformation, and application. Presently, it is intensively penetrating into many areas of human activities, including hydrometeorological ones. The concept of artificial intelligence, the history of its origin, and its methods and technologies are considered. The author analyzes the studies related to the use of artificial intelligence in short- and medium-range weather forecasting, including the collection and quality control of meteorological information, assimilation of data in order to generate initial conditions for numerical weather prediction models, development of forecast models and parameterization schemes for physical processes, postprocessing and physical-statistical interpretation of the output data of numerical weather prediction models. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=178129901 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3103/S1068373924040010 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 283 Subjects: – SubjectFull: Artificial intelligence Type: general – SubjectFull: Long-range weather forecasting Type: general – SubjectFull: Weather forecasting Type: general – SubjectFull: Numerical weather forecasting Type: general – SubjectFull: Computer science Type: general – SubjectFull: Weather Type: general – SubjectFull: Quality control Type: general Titles: – TitleFull: Artificial Intelligence and Its Application in Numerical Weather Prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Soldatenko, S. A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10683739 Numbering: – Type: volume Value: 49 – Type: issue Value: 4 Titles: – TitleFull: Russian Meteorology & Hydrology Type: main |
| ResultId | 1 |