Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan
文献类型：期刊论文
| 作者 | Hussain, Azfar1; Hussain, Ishtiaq2; Ali, Shaukat3; Ullah, Waheed4; Khan, Firdos5; Rezaei, Abolfazl6; Ullah, Safi7,8; Abbas, Haider9; Manzoom, Asima10; Cao, Jianhua1 |
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 292页码:14 |
| 关键词 | Extreme precipitation Wavelet analysis NDVI Oceanic indices Pakistan |
| ISSN号 | 0169-8095 |
| DOI | 10.1016/j.atmosres.2023.106873 |
| 通讯作者 | Cao, Jianhua(jhcaogl@karst.ac.cn) ; Zhou, Jinxing(zjx001@bjfu.edu.cn) |
| 英文摘要 | In recent decades, extreme events have caused greater damage to the ecosystem and human livelihood. There-fore, assessing variation in such events and their causes is crucial for climate risk management. This study provides a temporal nexus between precipitation extremes with NDVI, monsoon, and oceanic indices that originate from the Pacific Ocean (ENSO, PDO, and PNA) and Atlantic Ocean (AMO, AO, and NAO) over Pakistan during 1961-2017. The non-parametric Mann-Kendall and Sen Slope estimator tests are used to assess significant trends in nine extreme precipitation indices. In addition, wavelet analysis is employed to evaluate the period-icities and possible association of extreme events with NDVI and oceanic indices. The results showed that long-term annual time series in Pakistan exhibit increasing trends in Rx1day, Rx5day, R95p, R99p, PRCPTOT, SDII, R10mm, and CWD, except a decrease in CDD. All indices exhibited significant increasing trends in R-II, III, and the whole country during 1961-2017, except for a decreasing trend in CDD. The probability distribution function in Rx1day, Rx5day, R95p, R99p, PRCPTOT, SDII, and R10mm displayed obvious changes from the first period to the second period, except in CDD and CWD. The Wavelet transform coherence (WTC) indicates a positive coherence of all extreme precipitation indices with NDVI, except CDD and CWD. Moreover, the coherence of the Indian summer monsoon index (ISMI) with Rx1day, Rx5day, and monsoon precipitation demonstrate positive phase relation, whereas the findings of multiple wavelet coherence (MWC) indicate extreme precipitation indices have decadal and inter-decadal coherences with indices from the Atlantic Ocean. In contrast, the indices from the Pacific Ocean have mostly inter-annual coherences. The correlation of individual indices shows that all the oceanic indices are highly influential on Rx1day, Rx5day, R95p, R99p, and PRCPTOT, while partly with the remaining extreme indices. The findings of this study add a better knowledge of the mechanism of extreme precipitation events, which may assist in better understanding and forecasting extreme precipitation occurrences in Pakistan. |
| WOS关键词 | DIFFERENCE VEGETATION INDEX ; MULTIPLE-WAVELET COHERENCE ; ASIAN SUMMER MONSOON ; WEATHER EVENTS ; CLIMATE-CHANGE ; MANN-KENDALL ; TEMPERATURE EXTREMES ; ECONOMIC CORRIDOR ; RIVER ; TRENDS |
| 资助项目 | National Natural Science Foundation of China[31870707] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001030020700001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/195550]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cao, Jianhua; Zhou, Jinxing |
| 作者单位 | 1.Chinese Acad Geol Sci, Inst Karst Geol, Int Res Ctr Karst Auspices UNESCO, Guilin 541004, Peoples R China 2.Chung Yuan Christian Univ, Dept Appl Math, Chungli 32023, Taiwan 3.Minist Climate Change, Global Change Impact Study Ctr, Islamabad, Pakistan 4.Rabdan Acad, Def & Secur, Abu Dhabi 114646, U Arab Emirates 5.Natl Univ Sci & Technol, Sch Nat Sci, H-12 Campus, Islamabad 44000, Pakistan 6.Inst Adv Studies Basic Sci, Dept Earth Sci, Zanjan 4513766731, Iran 7.Fudan Univ, Dept Atmospher & Ocean Sci, Shanghai 200433, Peoples R China 8.Fudan Univ, Inst Atmospher Sci, Shanghai 200433, Peoples R China 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modelling, Beijing 100101, Peoples R China 10.Fatima Jinnah Women Univ, Dept Sociol, Rawalpindi 44000, Pakistan |
| 推荐引用方式 GB/T 7714 | Hussain, Azfar,Hussain, Ishtiaq,Ali, Shaukat,et al. Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan[J]. ATMOSPHERIC RESEARCH,2023,292:14. |
| APA | Hussain, Azfar.,Hussain, Ishtiaq.,Ali, Shaukat.,Ullah, Waheed.,Khan, Firdos.,...&Zhou, Jinxing.(2023).Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan.ATMOSPHERIC RESEARCH,292,14. |
| MLA | Hussain, Azfar,et al."Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan".ATMOSPHERIC RESEARCH 292(2023):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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