基于多源探测数据的液态降水现象及量级综合判识研究

Abstract
Figure/Table
References
Related Citation (15)

Download: HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract This paper analyzes the phenomenon of liquid precipitation, using observation data from automatic weather stations, dual polarization weather radars, and other equipment, using XGBoost GBDT and other machine learning algorithms to carry out the correlation analysis of detection data and precipitation magnitude, establishes a precipitation type and magnitude recognition model based on multi-source data, realizes the recognition of five types of precipitation, namely, no rain, light rain, moderate rain, heavy rain, rainstorm and above, and finally generates recognition grid products, so as to improve the spatial resolution of precipitation type recognition to a certain extent.

Received: 19 April 2024

ZTFLH:

P412.25

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zeng Yang
	Lai Chen
	Zhang Juanjuan

Cite this article:

Zeng Yang,Lai Chen,Zhang Juanjuan. Research on liquid precipitation phenomenon and scale comprehensive identification based on multisource detection data[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(4): 29-32.

URL:

http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I4/29

[1]	姜明,史静,李宛桐,等.利用降水现象仪进行降水量计算及准确性分析[J].气象水文海洋仪器,2022,39(1):62-66.
[2]	胡沁,曾杨,李毅聪.DSG5型降水现象仪观测资料的对比分析[J].气象水文海洋仪器,2019,36(4):12-15.
[3]	葛黎黎,郭栋,李亚军,等.山西地区降水现象仪平行观测评估[J].气象水文海洋仪器,2023,40(2):41-43,46.
[4]	黄勤,龙亚星,李亚丽.多源融合降水产品在陕西的适用性评估[J].气象水文海洋仪器,2021,38(4):108-111.
[5]	刘钊,张源源,曹雪芬,等.基于多源观测数据对山东半岛南部及近海地区三维雷电探测效率评估[J].气象水文海洋仪器,2022,39(4):60-63,69.
[6]	袁微,郭春辉,谭丹凤,等.肇庆X波段双偏振天气雷达降水估测研究[J].气象水文海洋仪器,2022,39(3):58-61,64.
[7]	施成龙,行鸿彦,娄华生.基于EWT-SVM的雨量识别方法[J].气象水文海洋仪器,2024,41(1):5-8.