V. Guhan , A. Dharma Raju , K. Rama Krishna , K. Nagaratna
{"title":"探索印度的气候趋势和极端气候:1980年至2023年的温度和降雨研究","authors":"V. Guhan , A. Dharma Raju , K. Rama Krishna , K. Nagaratna","doi":"10.1016/j.jastp.2025.106596","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to evaluate the temporal trends, seasonal patterns, and extreme events in temperature and rainfall across India, using statistical and time series approaches to inform climate resilience strategies. Utilizing a range of statistical techniques including Generalized Pareto Distribution, Mann-Kendall trend test, Wavelet Transform, ARIMA forecasting, and Anomaly Detection, we explored the seasonal and long-term trends, periodicities, and anomalies in these climatic parameters using IMD gridded data from 1980 to 2023. The findings reveal notable seasonal fluctuations and patterns, with Tmax displaying a statistically significant upward trend and Tmin and rainfall displaying no discernible patterns. Strong seasonal cycles and periodic patterns are shown via wavelet transform analysis. ARIMA forecasting projects continued seasonal fluctuations and trends for Tmax, Tmin, and rainfall. Anomaly detection identifies several instances of unusual temperature and rainfall values, highlighting the importance of monitoring extreme weather events. These results highlight the necessity of adaptive climate resilience strategies to lessen the effects of climatic unpredictability and offer insightful information for climate analysis, forecasting, and environmental management.</div></div>","PeriodicalId":15096,"journal":{"name":"Journal of Atmospheric and Solar-Terrestrial Physics","volume":"274 ","pages":"Article 106596"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring climate trends and extremes in India: A study of temperature and rainfall from 1980 to 2023\",\"authors\":\"V. Guhan , A. Dharma Raju , K. Rama Krishna , K. Nagaratna\",\"doi\":\"10.1016/j.jastp.2025.106596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study aims to evaluate the temporal trends, seasonal patterns, and extreme events in temperature and rainfall across India, using statistical and time series approaches to inform climate resilience strategies. Utilizing a range of statistical techniques including Generalized Pareto Distribution, Mann-Kendall trend test, Wavelet Transform, ARIMA forecasting, and Anomaly Detection, we explored the seasonal and long-term trends, periodicities, and anomalies in these climatic parameters using IMD gridded data from 1980 to 2023. The findings reveal notable seasonal fluctuations and patterns, with Tmax displaying a statistically significant upward trend and Tmin and rainfall displaying no discernible patterns. Strong seasonal cycles and periodic patterns are shown via wavelet transform analysis. ARIMA forecasting projects continued seasonal fluctuations and trends for Tmax, Tmin, and rainfall. Anomaly detection identifies several instances of unusual temperature and rainfall values, highlighting the importance of monitoring extreme weather events. These results highlight the necessity of adaptive climate resilience strategies to lessen the effects of climatic unpredictability and offer insightful information for climate analysis, forecasting, and environmental management.</div></div>\",\"PeriodicalId\":15096,\"journal\":{\"name\":\"Journal of Atmospheric and Solar-Terrestrial Physics\",\"volume\":\"274 \",\"pages\":\"Article 106596\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Atmospheric and Solar-Terrestrial Physics\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1364682625001804\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Atmospheric and Solar-Terrestrial Physics","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364682625001804","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
Exploring climate trends and extremes in India: A study of temperature and rainfall from 1980 to 2023
This study aims to evaluate the temporal trends, seasonal patterns, and extreme events in temperature and rainfall across India, using statistical and time series approaches to inform climate resilience strategies. Utilizing a range of statistical techniques including Generalized Pareto Distribution, Mann-Kendall trend test, Wavelet Transform, ARIMA forecasting, and Anomaly Detection, we explored the seasonal and long-term trends, periodicities, and anomalies in these climatic parameters using IMD gridded data from 1980 to 2023. The findings reveal notable seasonal fluctuations and patterns, with Tmax displaying a statistically significant upward trend and Tmin and rainfall displaying no discernible patterns. Strong seasonal cycles and periodic patterns are shown via wavelet transform analysis. ARIMA forecasting projects continued seasonal fluctuations and trends for Tmax, Tmin, and rainfall. Anomaly detection identifies several instances of unusual temperature and rainfall values, highlighting the importance of monitoring extreme weather events. These results highlight the necessity of adaptive climate resilience strategies to lessen the effects of climatic unpredictability and offer insightful information for climate analysis, forecasting, and environmental management.
期刊介绍:
The Journal of Atmospheric and Solar-Terrestrial Physics (JASTP) is an international journal concerned with the inter-disciplinary science of the Earth''s atmospheric and space environment, especially the highly varied and highly variable physical phenomena that occur in this natural laboratory and the processes that couple them.
The journal covers the physical processes operating in the troposphere, stratosphere, mesosphere, thermosphere, ionosphere, magnetosphere, the Sun, interplanetary medium, and heliosphere. Phenomena occurring in other "spheres", solar influences on climate, and supporting laboratory measurements are also considered. The journal deals especially with the coupling between the different regions.
Solar flares, coronal mass ejections, and other energetic events on the Sun create interesting and important perturbations in the near-Earth space environment. The physics of such "space weather" is central to the Journal of Atmospheric and Solar-Terrestrial Physics and the journal welcomes papers that lead in the direction of a predictive understanding of the coupled system. Regarding the upper atmosphere, the subjects of aeronomy, geomagnetism and geoelectricity, auroral phenomena, radio wave propagation, and plasma instabilities, are examples within the broad field of solar-terrestrial physics which emphasise the energy exchange between the solar wind, the magnetospheric and ionospheric plasmas, and the neutral gas. In the lower atmosphere, topics covered range from mesoscale to global scale dynamics, to atmospheric electricity, lightning and its effects, and to anthropogenic changes.