The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China
Mastering the spatial and temporal differences of ENSO (EI Niño-Southern Oscillation) and MJO (Madden–Julian Oscillation) and their influence on drought is very important for accurately monitoring and forecasting drought. In this study, spatiotemporal characteristics and variability of the impact of...
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MDPI AG
2021-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/5/875 |
| _version_ | 1797395170014003200 |
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| author | Lei Zhou Siyu Wang Mingyi Du Qiang Chen Congcong He Jun Zhang Yinuo Zhu Yiting Gong |
| author_facet | Lei Zhou Siyu Wang Mingyi Du Qiang Chen Congcong He Jun Zhang Yinuo Zhu Yiting Gong |
| author_sort | Lei Zhou |
| collection | DOAJ |
| description | Mastering the spatial and temporal differences of ENSO (EI Niño-Southern Oscillation) and MJO (Madden–Julian Oscillation) and their influence on drought is very important for accurately monitoring and forecasting drought. In this study, spatiotemporal characteristics and variability of the impact of ENSO and MJO on drought were analyzed from the perspectives of meteorological drought and agricultural drought through temporal and spatial correlation analyses of China’s 48 eco-geographical regions. The results show a strong correlation between drought and ENSO and MJO in general. The spatial correlation coefficients are different, and the response of extreme events varies in different regions. The influence of ENSO and MJO on agricultural drought is higher than that on meteorological drought. ENSO and MJO have a considerable influence on agricultural drought in regions such as the Qinghai-Tibet Plateau and Xinjiang, with the highest correlation coefficient of 0.72. A significant influence of ENSO and MJO on meteorological drought was found in the Jiangnan region with the highest correlation coefficient of 0.40. In addition, agricultural drought shows a significant time lag in response to ENSO events. When the lag time is six months, the time series presents the highest correlation coefficient with the mean value of the correlation coefficient reaching 0.38 and the maximum value reaching 0.75. This research is of great significance for understanding the spatiotemporal correlation between climate patterns and drought on a large regional scale and it provides further insights into the teleconnection mechanisms of drought. |
| first_indexed | 2024-03-09T00:31:37Z |
| format | Article |
| id | doaj.art-8ba4b156921a4a978e3796f3dfa3924a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T00:31:37Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8ba4b156921a4a978e3796f3dfa3924a2023-12-11T18:30:59ZengMDPI AGRemote Sensing2072-42922021-02-0113587510.3390/rs13050875The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in ChinaLei Zhou0Siyu Wang1Mingyi Du2Qiang Chen3Congcong He4Jun Zhang5Yinuo Zhu6Yiting Gong7School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 102616, ChinaMastering the spatial and temporal differences of ENSO (EI Niño-Southern Oscillation) and MJO (Madden–Julian Oscillation) and their influence on drought is very important for accurately monitoring and forecasting drought. In this study, spatiotemporal characteristics and variability of the impact of ENSO and MJO on drought were analyzed from the perspectives of meteorological drought and agricultural drought through temporal and spatial correlation analyses of China’s 48 eco-geographical regions. The results show a strong correlation between drought and ENSO and MJO in general. The spatial correlation coefficients are different, and the response of extreme events varies in different regions. The influence of ENSO and MJO on agricultural drought is higher than that on meteorological drought. ENSO and MJO have a considerable influence on agricultural drought in regions such as the Qinghai-Tibet Plateau and Xinjiang, with the highest correlation coefficient of 0.72. A significant influence of ENSO and MJO on meteorological drought was found in the Jiangnan region with the highest correlation coefficient of 0.40. In addition, agricultural drought shows a significant time lag in response to ENSO events. When the lag time is six months, the time series presents the highest correlation coefficient with the mean value of the correlation coefficient reaching 0.38 and the maximum value reaching 0.75. This research is of great significance for understanding the spatiotemporal correlation between climate patterns and drought on a large regional scale and it provides further insights into the teleconnection mechanisms of drought.https://www.mdpi.com/2072-4292/13/5/875ENSOMJOglobal climate changecorrection |
| spellingShingle | Lei Zhou Siyu Wang Mingyi Du Qiang Chen Congcong He Jun Zhang Yinuo Zhu Yiting Gong The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China Remote Sensing ENSO MJO global climate change correction |
| title | The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China |
| title_full | The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China |
| title_fullStr | The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China |
| title_full_unstemmed | The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China |
| title_short | The Influence of ENSO and MJO on Drought in Different Ecological Geographic Regions in China |
| title_sort | influence of enso and mjo on drought in different ecological geographic regions in china |
| topic | ENSO MJO global climate change correction |
| url | https://www.mdpi.com/2072-4292/13/5/875 |
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