2016
DOI: 10.1016/j.atmosres.2015.12.016
|View full text |Cite
|
Sign up to set email alerts
|

Application of the Doppler weather radar in real-time quality control of hourly gauge precipitation in eastern China

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
10
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 18 publications
(10 citation statements)
references
References 26 publications
0
10
0
Order By: Relevance
“…A daily precipitation dataset containing data from more than 2400 rain gauge stations over China during 1979-2016 has been released by the National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) (http://nmic.cn/web/index .htm/). This dataset has undergone quality control processes (Zhang et al 2016;Zhong et al 2016). We selected 139 fairly evenly distributed surface meteorological stations in the region 35°-42.0° N and 110°-120° E defined as NC (Fig.…”
Section: Datamentioning
confidence: 99%
“…A daily precipitation dataset containing data from more than 2400 rain gauge stations over China during 1979-2016 has been released by the National Meteorological Information Center (NMIC) of the China Meteorological Administration (CMA) (http://nmic.cn/web/index .htm/). This dataset has undergone quality control processes (Zhang et al 2016;Zhong et al 2016). We selected 139 fairly evenly distributed surface meteorological stations in the region 35°-42.0° N and 110°-120° E defined as NC (Fig.…”
Section: Datamentioning
confidence: 99%
“…e second step is to check the temporal and spatial consistencies between candidate rain gauge records and those at the neighboring stations and times. e internal consistency is also used to identify erroneous data caused by incorrect units, reading, or data coding [1,[29][30][31]. All the data meet the strict quality control standards required by the Rules on Ground Surface Meteorological Observations [32].…”
Section: Datamentioning
confidence: 99%
“…This current research will allow us to better characterize extreme precipitation events and provide a robust scientific foundation for improving extended-range forecasts of extreme precipitation over the NCP. 2016; Zhong et al, 2016). Gauges are included if they have less than 10% missing values.…”
Section: Introductionmentioning
confidence: 99%