1998KybernetesRequires access

13. Applications of the theory of blown‐ups to weather forecasting

Chunhua Peng, Wujie Li

Open publisher page 3 citations

Abstract

The nonhomogeneous information is applied to the study of sudden and severe weather processes in this paper, based on the theory of blown‐ups (OuYang, 1994). Severe weather processes, such as torrential rain and severe convection, are clarified first by using the nonhomogeneous parameters in the spring in Hubei Province, and second by combining with the severe convection forecasting criteria. We can distinguish the severe convective weather processes and forecast the short‐range severe convective weather by using this theory in the spring in Hubei province. After practical applications from March 15 to May 15 in 1995, it showed that the forecast accuracy was satisfactory.

About this research paper

What this paper is about

The nonhomogeneous information is applied to the study of sudden and severe weather processes in this paper, based on the theory of blown‐ups (OuYang, 1994). Severe weather processes, such as torrential rain and severe convection, are clarified first by using the nonhomogeneous parameters in the spring in Hubei Province, and second by combining with the severe convection forecasting criteria. We can distinguish the severe convective weather processes and forecast the short‐range severe convective weather by using this theory in the spring in Hubei province. After practical applications from March 15 to May 15 in 1995, it showed that the forecast accuracy was satisfactory.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The nonhomogeneous information is applied to the study of sudden and severe weather processes in this paper, based on the theory of blown‐ups (OuYang, 1994). Severe weather processes, such as torrential rain and severe convection, are clarified first by using the nonhomogeneous parameters in the spring in Hubei Province, and second by combining with the severe convection forecasting criteria. We can distinguish the severe convective weather processes and forecast the short‐range severe convective weather by using this theory in the spring in Hubei province. After practical applications from March 15 to May 15 in 1995, it showed that the forecast accuracy was satisfactory.

Key concepts: Meteorology, Convection, Environmental science, Range (aeronautics), Weather forecasting, Spring (device), Severe weather, Weather prediction

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