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Data error correction method of precipitation meteorological report, rainy rime landscape prediction method
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A technology for message data and error correction, applied in rainfall/precipitation meters, meteorology, measuring devices, etc., can solve problems such as lack of functional automatic observation stations
Active Publication Date: 2020-06-02
CHENGDU UNIV OF INFORMATION TECH +1
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Problems solved by technology
However, at present, almost every city above the county level in China has built an automatic meteorological observation station, and each meteorological observation station is responsible for collecting and uploading the meteorological element data in the area. In the scenic area, there is a lack of automatic observation stations with relatively complete functions.
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Embodiment 1
[0069] The precipitation meteorological station forecast value at 08:00 on March 13, 2017 in the Mount Emei scenic spot in Sichuan Province was corrected by using the method for correcting the data error of the precipitation meteorological report of the present invention.
[0070] Group 1: Starting time 2017031220, forecast 2017031308~20170313020
[0071] The starting time of the report is 2017031220 (20:00 on March 12, 2017, the same below), the forecast period is 2017031308 to 20170313020 (daytime on March 13, 2017), and the forecast time limit is 012 to 024 hours.
[0072] Step S1. Obtain the forecasted daily precipitation report data Y m
[0073] Precipitation report data Y m It is the forecast date issued by the Meteorological Observatory at 20:00 on March 12, 2017 (that is, the start time A) on March 13, 2017, during the forecast period from 08:00 to 20:00 (daytime). text data.
[0074] Step S2. Determine the rainy and sunny thresholds TH for each forecast timeliness...
Embodiment 2
[0095] The rime landscape prediction method of the present invention was used to measure and calculate the occurrence probability M of the rime landscape on March 13, 2017 and April 19, 2017 in the Mount Emei scenic spot in Sichuan Province.
[0096] Group 1: Initial report 2017031220, forecast 20170313
[0097] Step S1: Judging the occurrence probability M of rime landscape according to the time period
[0098] Step S11, determine the occurrence time period of the rime landscape
[0099] According to the recorded data of rime landscape in Mount Emei Scenic Area in the past 5 years, it is determined statistically that the occurrence time period of rime landscape in Emei Mountain Scenic Area is January, February, March, April, October, November, and December.
[0100] Step S12, judging the occurrence probability M of rime landscape according to the time period
[0101] The forecast date is March 13, 2017, which belongs to the time period r, and proceeds to step S2.
[0102] ...
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Abstract
Aiming at the defect that the existing precipitation forecasting method has insufficient consideration of the particularity of the local environment, which makes the predicted value more prone to error, the present invention provides a method for correcting the data error of the precipitation meteorological message, which is used to correct Meteorological Observatory's forecast daily precipitation report data released by the public Y m , to get the forecasted daily precipitation correction value Y j . The present invention also provides a rime landscape prediction method realized by using the error correction method of precipitation meteorological message data, which is used to measure and calculate the probability of occurrence of rime landscape on the forecast day on the first day of reporting, and to optimize the temperature value in the prediction method method. The invention also provides the application of the rain rime landscape prediction method in the Mount Emei scenic spot. The method of the present invention is based on the weather forecast products released by the meteorological station to the public, and utilizes the weather forecast products made by the meteorological station for large areas to realize the measurement and calculation of the occurrence probability of the meteorological landscape in a predetermined small area, which can effectively utilize public service data and has the advantages of High practicality.
Description
technical field [0001] The invention relates to a method for correcting errors of meteorological prediction values of precipitation and a method for predicting rime landscape, which belong to the field of meteorological measurement, observation and prediction. Background technique [0002] The meteorological prediction value of precipitation is obtained by the meteorological department using the global observation network to analyze the observation data using synoptic methods or numerical weather prediction models, and then making corrections with reference to certain elements, and the final forecast conclusions are released to the public through various platforms. To carry out numerical weather prediction of precipitation, it is first necessary to divide the atmospheric space above the surface into many small grids, and use various observation tools to obtain the distribution data of the three-dimensional space of the atmosphere, and then analyze and calculate each grid in...
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