Probabilistic representation of long-range weather forecasts worked out using the synoptic methods

Autor:	V. M. Khan, V. Yu. Tsepelev
Rok vydání:	2015
Předmět:	Fluid Flow and Transfer Processes Atmospheric Science Meteorology Computer science Air temperature Range (statistics) Probabilistic logic Probabilistic forecasting Software package Consensus forecast Representation (mathematics) Water Science and Technology Visualization
Zdroj:	Russian Meteorology and Hydrology. 40:231-241
ISSN:	1934-8096 1068-3739
Popis:	Demonstrated is the possibility of using the probabilistic approach to synoptic forecasts worked out using the Vangengeim-Girs and Mul’tanovskii-Pagava methods. The approach is realized by analogy with the probabilistic interpretation of ensemble hydrodynamic forecasts based on the Dolgosrochnik-Sinoptik software package. Considered are the concrete examples of the traditional representation of the results of the synoptic forecast of air temperature based on the synoptic methods as well as the variants of the same forecasts presented in terms of probability. The conclusion is made that the application of the probabilistic approach to synoptic forecasts increases their informativeness and extend the visualization potential.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::463a83b3ef3d14a5c9b022044345f610 https://doi.org/10.3103/s1068373915040020 Zobrazit plný text záznamu Full text from SpringerLink