Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2022.998491/full |
| _version_ | 1811210971552677888 |
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| author | Wei Tian Wei Tian Kailing Shen Kailing Shen Lei Yi Lei Yi Lixia Zhang Yang Feng Shiwei Chen |
| author_facet | Wei Tian Wei Tian Kailing Shen Kailing Shen Lei Yi Lei Yi Lixia Zhang Yang Feng Shiwei Chen |
| author_sort | Wei Tian |
| collection | DOAJ |
| first_indexed | 2024-04-12T05:04:57Z |
| format | Article |
| id | doaj.art-7f3b9b9b5dc14d35bda12b1f89ee2732 |
| institution | Directory Open Access Journal |
| issn | 2296-6463 |
| language | English |
| last_indexed | 2024-04-12T05:04:57Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Earth Science |
| spelling | doaj.art-7f3b9b9b5dc14d35bda12b1f89ee27322022-12-22T03:46:54ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632022-09-011010.3389/feart.2022.998491998491Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scalesWei Tian0Wei Tian1Kailing Shen2Kailing Shen3Lei Yi4Lei Yi5Lixia Zhang6Yang Feng7Shiwei Chen8School of Computer Science and Software, Nanjing University of Information Science and Technology, Nanjing, ChinaEngineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, ChinaSchool of Computer Science and Software, Nanjing University of Information Science and Technology, Nanjing, ChinaEngineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, ChinaSchool of Computer Science and Software, Nanjing University of Information Science and Technology, Nanjing, ChinaEngineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, ChinaShijiazhuang Meteorological Bureau, Shijiazhuang, ChinaShijiazhuang Meteorological Bureau, Shijiazhuang, ChinaSchool of Automation, Nanjing University of Information Science and Technology, Nanjing, Chinahttps://www.frontiersin.org/articles/10.3389/feart.2022.998491/fullprecipitation estimationweather radardeep learningmulti-scalemeteorological factorsgeographical factors |
| spellingShingle | Wei Tian Wei Tian Kailing Shen Kailing Shen Lei Yi Lei Yi Lixia Zhang Yang Feng Shiwei Chen Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales Frontiers in Earth Science precipitation estimation weather radar deep learning multi-scale meteorological factors geographical factors |
| title | Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales |
| title_full | Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales |
| title_fullStr | Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales |
| title_full_unstemmed | Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales |
| title_short | Corrigendum: Quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales |
| title_sort | corrigendum quantitative precipitation estimation model integrating meteorological and geographical factors at multiple spatial scales |
| topic | precipitation estimation weather radar deep learning multi-scale meteorological factors geographical factors |
| url | https://www.frontiersin.org/articles/10.3389/feart.2022.998491/full |
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