High-precision monitoring and early-warning system for regional road icing based on meteorological big data

Abstract

The invention discloses a high-precision monitoring and early-warning system for regional road icing based on meteorological big data. The high-precision monitoring and early-warning system compriseshardware operating environment construction, live data collection and analysis, mesoscale numerical forecasting tool nonlinear calculation, temperature ensemble forecast result linear correction, regional ground surface temperature inversion and regional road icing condition early warning. The high-precision monitoring and early-warning system has the beneficial effects that the high-precision monitoring and early-warning system introduces data of a meteorological satellite, expands the dimension of meteorological observation data, participates in data assimilation of a numerical forecasting mode, and indirectly improves the precision of forecast results; the numerical mode ensemble forecasting is introduced, a sliding training period is adopted when the forecast results are collected, a weight coefficient changes with time, and the precision is improved; and by utilizing various kinds of representative sites, the high-precision monitoring and early-warning system explores relationships among temperature, ground surface temperature and water vapor in different geographical environments through linear analysis, and improves the forecasting precision of regional road icing conditionsfrom point to surface.

Description

technical field [0001] The invention relates to a monitoring and early warning system, in particular to a regional road icing high-precision monitoring and early warning system based on meteorological big data, which belongs to the technical field of atmospheric detection and weather forecasting. Background technique [0002] With the development of social economy and scientific and technological progress, transportation has become an important lifeline of national economic production and people's social life. However, every link of transportation is directly affected by meteorological conditions. According to statistics, 50% of traffic accidents on highways in my country, 71% of major traffic accidents, and 65% of direct economic losses occurred in bad weather caused by bad weather conditions. In winter and early spring, The impact of icy roads is particularly pronounced. When the road is icy, because the friction between the wheels and the road surface is greatly weakened,...

AI Technical Summary

Problems solved by technology

Therefore, it is impossible to accurately predict road icing conditions only by using temperature forecast data. Third, road icing is not only related to surface temperature, but also related to water vapor content. Even if there is no precipitation, icing may occur. Automatic weather stations cannot realize the overall monitoring of water vapor content in large areas

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