Residential Collegefalse
Status已發表Published
Mapping the Distribution of Summer Precipitation Types over China Based on Radar Observations
Tang J.1,2; Chen S.3,4; Li Z.1,2; Gao L.5
2022-07-17
Source Publicationremote sensing
ISSN2072-4292
Volume14Issue:14Pages:3437
Abstract

In this study, the spatiotemporal distribution and characteristics of different precipitation types (stratiform, convective, and snow) over China are analyzed using the radar mosaic images during the summer season over 4 years (from 2018 to 2021). The convective precipitation occurs most frequently along the eastern coast regions. In June, the strong convection center is located in Southern China and moves northward to Eastern China in July, while the lowest frequency occurs in August. Stratiform precipitation dominates summer precipitation over China and mainly distributes in inland regions, with the highest frequency in August. Snowfall primarily presents in the mountains and plateau regions of Western China with the frequency of occurrence around 20%. The snowfall area in July is significantly smaller than that in June and August. The convective, stratiform, and snowfall show strong diurnal variation in terms of solar standard time (LST) especially for snowfall. The convective precipitation demonstrates a bimodal pattern, with the highest peak in the afternoon (15–16 LST) and the secondary peak in the early morning (04–07 LST). Stratiform precipitation is mainly active from the afternoon to the next morning (14–05 LST). Snowfall is significantly more common in the nighttime (around 12%) than in the daytime (around 4%). The occurrence ratio of snowfall at midnight in July is significantly higher than that in June and August. It is expected that this study on summer precipitation over China can be used as a reference to hydrometeorological research and also to improve the understanding of radar precipitation research over China.

KeywordSpatiotemporal Distribution Of Precipitation Radar Stratiform Convection Snow
DOI10.3390/rs14143437
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnvironmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences; GeoSciences, Multidisciplinary; Remote Sensing;imaging Science & Photographic Technology
WOS IDWOS:000833309600001
PublisherMDPIST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND
Scopus ID2-s2.0-85137146230
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorChen S.
Affiliation1.Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Nanning Normal University, Ministry of Education, Nanning 530001, China
2.School of Geographic Sciences and Planning, Nanning Normal University, Nanning 530001, China
3.Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
4.Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
5.State Key Laboratory of Internet of Things for Smart City, Department of Civil and Environmental Engineering, University of Macau, Macau 999078, China
Recommended Citation
GB/T 7714
Tang J.,Chen S.,Li Z.,et al. Mapping the Distribution of Summer Precipitation Types over China Based on Radar Observations[J]. remote sensing, 2022, 14(14), 3437.
APA Tang J.., Chen S.., Li Z.., & Gao L. (2022). Mapping the Distribution of Summer Precipitation Types over China Based on Radar Observations. remote sensing, 14(14), 3437.
MLA Tang J.,et al."Mapping the Distribution of Summer Precipitation Types over China Based on Radar Observations".remote sensing 14.14(2022):3437.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tang J.]'s Articles
[Chen S.]'s Articles
[Li Z.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tang J.]'s Articles
[Chen S.]'s Articles
[Li Z.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tang J.]'s Articles
[Chen S.]'s Articles
[Li Z.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.