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Erschienen in:
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2022 | OriginalPaper | Buchkapitel

Adaptive Weather Forecasting Based on Local Characteristics of the Territory

verfasst von : R. V. Sharapov

Erschienen in: Advances in Automation III

Verlag: Springer International Publishing

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Abstract

At present, global models describing the dynamics of the atmosphere, such as GFS, NAM, ECMWF, UkMet and others, are actively used to compile weather forecasts. Modern global models make it possible to build weather forecasts of a sufficiently high accuracy. Nevertheless, for local territories, errors often arise related to the peculiarities of a particular area. It is rather difficult to provide the proper level of detail for global models - it is necessary to set an extended description of the territory for the entire model, which is quite difficult (especially for poorly explored areas). At the same time, the volumes of the initial data increase and the complexity of the calculation algorithms increases. For this reason, the use of adaptive models that allow adjusting forecasts from global models for specific territories seems quite attractive.

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Metadaten
Titel
Adaptive Weather Forecasting Based on Local Characteristics of the Territory
verfasst von
R. V. Sharapov
Copyright-Jahr
2022
Buch
Advances in Automation III

Print ISBN: 978-3-030-94201-4

Electronic ISBN: 978-3-030-94202-1

Copyright-Jahr: 2022

DOI
https://doi.org/10.1007/978-3-030-94202-1_26