[1]周坤论,黄剑钊,陶伟,等.降水类天气现象自动与人工观测质量对比分析[J].气象研究与应用,2022,43(01):112-117.[doi:10.19849/j.cnki.CN45-1356/P.2022.1.20]
　Zhou Kunlun,Huang Jianzhao,Tao wei,et al.Quality analysis of automatic and manual observation data of precipitation weather phenomenon instrument[J].Journal of Meteorological Research and Application,2022,43(01):112-117.[doi:10.19849/j.cnki.CN45-1356/P.2022.1.20]
点击复制

降水类天气现象自动与人工观测质量对比分析()
分享到：

气象研究与应用[ISSN:1673-8411/CN:45-1356/P]

卷:
第43卷
期数:
2022年01期
页码:
112-117
栏目:
短论
出版日期:
2022-03-25

文章信息/Info

Title:
Quality analysis of automatic and manual observation data of precipitation weather phenomenon instrument
作者:
周坤论1;  黄剑钊1;  陶伟1;  李艳萍2;  李强1
1. 广西壮族自治区气象技术装备中心, 南宁 530022;
2. 广西壮族自治区气象信息中心, 南宁 530022
Author(s):
Zhou Kunlun1;  Huang Jianzhao1;  Tao wei1;  Li Yanping2;  Li qiang1
1. Guangxi Meteorological Technology Equipment Center, Nanning 530022, China;
2. Guangxi Meteorological Information Center, Nanning 530022, China
关键词:
人工观测; 自动观测; 降水类天气现象仪; 智能识别; 质控算法
Keywords:
manual observation; automatic observation; precipitation weather phenomenon instrument; intelligent identification; quality control algorithm
分类号:
P412
DOI:
10.19849/j.cnki.CN45-1356/P.2022.1.20
摘要:
选取2017年8月-2018年7月广西DSG1、DSG4和DSG5型降水类天气现象仪自动观测数据与人工观测数据,通过对比分析,研究降水类天气现象仪自动观测与人工观测数据质量的情况。结果表明,广西91个国家站点数据完整性好,设备年平均缺测率小于2%,DSG5型设备数据完整性最高(缺测率0.01%)。DSG1、DSG4和DSG5型设备对降雨的捕获率较高,均超过80%,DSG5型设备捕获率最高(90.18%),且吻合率较好(大于50%),错报率较低。三类设备对雪、雨夹雪、冰雹的识别均较困难,将雨误判为雪、雨夹雪和冰雹的分钟数较多;其中DSG1型设备容易误判为冰雹,DSG5型设备容易误判为雪。三类设备在雪、雨夹雪、冰雹等微降水和混合类降水方面进行更好的智能识别和质控算法优化,将会提高其业务应用效能。
Abstract:
The automatic observation data of DSG1,DSG4 AND DSG5 precipitation weather phenomenon in Guangxi from August 2017 to July 2018 were selected for sorting,statistical analysis and comparison with the manual observation data.The results show that the data integrity of 91 national stations in Guangxi is good,the annual average missing rate of equipment is less than 2%,and the data integrity of DSG5 equipment is the highest (missing rate is 0.01%).The DSG1,DSG4 and DSG5 devices have higher capture rates of precipitation,all exceeding 80%,the DSG5 device has the highest capture rate (90.18%),the coincidence rate is good (higher than 50%),and the false rate is low.It is difficult for the three types of equipment to identify snow,sleet and hail,and it is easy to misjudge rain as snow,sleet or hail;in particular,the DSG1 equipment is easy to misjudge rain as hail,and the DSG5 equipment is easy to misjudge rain as snow.It is recommended that the three types of equipment perform better intelligent identification and quality control algorithm optimization in terms of snow,sleet,hail and other light precipitation and mixed precipitation.

参考文献/References:

[1] 中国气象局.地面气象观测规范[M].北京:气象出版社, 2003.
[2] 陈冬冬,施丽娟,李肖霞,等.天气现象自动化观测现状调研[J].气象科技, 2011, 39(5):596-602.
[3] 张雪芬,杜波,汤志亚,等.基于观测资料的我国天气现象时空分布分析[J].气象,2013, 39(11):1452-1460.
[4] 陈爱莲,丁妙增.降水现象仪的比对与分析[J].气象水文海洋仪器, 2017, 34(1):8-12.
[5] 杜波,马舒庆,刘达新,等.雨滴谱降水现象仪综合测试系统设计[J].气象科技, 2018, 46(1):56-63.
[6] 杜波,马舒庆,梁明珠,等.雨滴谱降水现象仪对比观测试验技术应用分析[J].气象科技, 2017, 45(6):995-1001.
[7] 任思宇,丘平珠,谭斐,等.降水现象平行观测评估与分析[J].气象研究与应用, 2019, 40(1):88-90,87.
[8] 李艳玉. DSG5型降水天气现象仪的数据评估分析[J].气象研究与应用, 2020, 41(2):93-96.
[9] 申高航,高安春,周茂山,等. DSG5型降水天气现象仪观测数据分析和应用[J].气象科技,2021, 49(1):40-45.
[10] 张道远,乔贺,王锰,等.降水天气现象自动观测与人工观测数据对比分析[J].江西农业, 2020(6):49-50.
[11] 黄晓云,黄飞龙,翁静娴,等.广州降水现象自动与人工观测对比分析[J].广东气象, 2019, 41(2):70-72,76.
[12] Zhang A S,Hu J J,Chen S, et al. Statistical Characteristics of Raindrop Size Distribution in the Monsoon Season Observed in Southern China[J].Remote Sensing. 2019, 11(4), 432.
[13] 宋灿,周毓荃,吴志会.雨滴谱垂直演变特征的微雨雷达观测研究[J].应用气象学报, 2019, 30(4):479-490.
[14] 于建宇,李茂善,阴蜀城,等.青藏高原那曲地区云降水微观特征雨滴谱分析[J].成都信息工程大学学报, 2020,35(2):188-194.
[15] 中国气象局综合观测司.地面气象自动观测规范(第一版)[M].北京:气象出版社, 2019.
[16] 中国气象局观测司.降水现象平行观测业务技术规定[Z]. 2017.
[17] 杨晓波,张智超,吴杨,等. DSG5型降水现象仪平行观测数据应用评估及误差分析[J].现代农业科技, 2019(3):186-187.
[18] 濮江平,赵国强,蔡定军,等. Parsivel激光降水粒子谱仪及其在气象领域的应用[J].气象与环境科学, 2007, 30(2):3-8.

相似文献/References:

[1]刘志平,匡昭敏,韩清延,等.甘蔗农业气象自动观测样机设计与应用实践[J].气象研究与应用,2019,40(02):47.
　Liu Zhiping,Kuang Zhaomin,Han Qingyan,et al.Design and application of automatic observation prototype for sugarcane agrometeorology[J].Journal of Meteorological Research and Application,2019,40(01):47.

备注/Memo

备注/Memo:
收稿日期:2021-08-08。
基金项目:广西壮族自治区气象技术装备中心自立科研项目(降水过程雨滴谱的统计特征研究)
作者简介:周坤论(1994-),男,广西陆川人,硕士,助理工程师,主要从事气象探测系统保障等工作。E-mail:980289314@qq.com
更新日期/Last Update: 1900-01-01