Long-Term (1951–2007) Rainfall Trends around Six Indian Cities: Current State, Meteorological, and Urban Dynamics

Kharol, Shailesh Kumar; Kaskaoutis, Dimitris G.; Sharma, Anu Rani; Singh, Ramesh P.

doi:10.1155/2013/572954

Cited by 26 publications

(5 citation statements)

References 97 publications

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“…The APHRODITE has a spatial resolution of 0.25 × 0.25 and is found to be a better performing rainfall dataset for Peninsular Malaysia than other rainfall data products (Tan et al, 2015). APHRODITE has a daily rainfall record for 57 years and therefore it is often recommended for the assessment of long-term trend in rainfall (Yatagai et al, 2012;Kharol et al, 2013;El Kenawy et al, 2016;Kishore et al, 2016;Soraisam et al, 2018). The location of APHRODITE grid points (total 178) on the map of Peninsular Malaysia is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of secular trends in rainfall indices of Peninsular Malaysia in the presence of long‐term persistence

Khan

Pour

Shahid

et al. 2019

Meteorological Applications

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The presence of long‐term persistence (LTP) in hydroclimatic time series can lead to considerable change in the significance of trend. Therefore, past findings of climatic trend analysis without considering LTP in time series has become a disputable issue. The objective of this study was to assess the spatial patterns in the trends of annual and seasonal rainfall amounts and extremes in Peninsular Malaysia considering LTP. Daily rainfall data of APHRODITE (Asian Precipitation – Highly‐Resolved Observational Data Integration Towards Evaluation) for the period 1951–2007 was used to assess the trends using the classical Mann–Kendall (MK) test and the modified version of the MK test, which can remove the influence of LTP in the significance of trends. The results indicate that significant trends in different rainfall indices of Peninsular Malaysia obtained using the MK test reduced drastically when LTP was taken into consideration. There was almost no change in annual and seasonal rainfall amounts, which contradicts the findings of previous studies. The field significance of regional trends revealed an increase in wet spells at an average rate of 4.8 and 4.9 days/decade in the southeast and the southwest respectively during the northeast monsoon, and a decrease in rainy days by −1.4 days/decade in the north and an increase both in dry spells by 1.0 day/decade in the southeast and in the maximum 1 day rainfall by 1.7 mm/decade on the west coast during the southwest monsoon. The results indicate that the trends in rainfall indices reported in the maritime continent in previous studies should be re‐evaluated as most of them are due to LTP.

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Section: Introductionmentioning

confidence: 99%

Spatial distribution of secular trends in rainfall indices of Peninsular Malaysia in the presence of long‐term persistence

Khan

Pour

Shahid

et al. 2019

Meteorological Applications

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“…In a recent study by Singh et al [] it has been shown that extreme wet and dry spells during the ISM have statistically significant changes in their intensity and frequency in the period between 1951 and 2011. Also, it has been suggested that the ISM is showing two contrasting phases: a wetter early summer followed by a drier period, with a possible influence of aerosol concentrations on precipitation patterns [ Gautam et al , ; Kharol et al , ].These changing rainfall patterns have been hypothesized to lead to an increased risk of droughts [ Mishra and Liu , ]. See Text S1 in the supporting information (SI) for further detailed discussion on ISM and climate change.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal patterns and trends of Indian monsoonal rainfall extremes

Malik

Bookhagen

Mucha

2016

Geophysical Research Letters

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In this study, we provide a comprehensive analysis of trends in the extremes during the Indian summer monsoon (ISM) months (June to September) at different temporal and spatial scales. Our goal is to identify and quantify spatiotemporal patterns and trends that have emerged during the recent decades and may be associated with changing climatic conditions. Our analysis primarily relies on quantile regression that avoids making any subjective choices on spatial, temporal, or intensity pattern of extreme rainfall events. Our analysis divides the Indian monsoon region into climatic compartments that show different and partly opposing trends. These include strong trends toward intensified droughts in Northwest India, parts of Peninsular India, and Myanmar; in contrast, parts of Pakistan, Northwest Himalaya, and Central India show increased extreme daily rain intensity leading to higher flood vulnerability. Our analysis helps explain previously contradicting results of trends in average ISM rainfall.

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“…edu/, accessed on 15 March 2023) (Table 1). Urban-land expansion is presented as an urban area percentage, which refers to the ratio between the urban and total land areas, serving as a measure of the degree of urbanization [60].…”

Section: Key Driving Factorsmentioning

confidence: 99%

Long-Term Dynamics of Atmospheric Sulfur Dioxide in Urban and Rural Regions of China: Urbanization and Policy Impacts

Wang,

Shaheen,

Yousefi

et al. 2024

Remote Sensing

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High levels of sulfur dioxide (SO2) due to human activities pose a serious air pollution issue in China, especially in urban agglomerations. However, limited research has investigated the impact of anthropogenic emissions on higher SO2 concentrations in urban regions compared to rural areas in China. Here, we analyzed the trends in SO2 concentrations from 1980 to 2021 in China using the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) dataset. SO2 column concentrations from the Copernicus Atmosphere Monitoring Service (CAMS) and the Ozone Monitoring Instrument (OMI) during the years 2007–2021 were also examined for validation and comparison purposes. Eight representative areas, including four urban regions (Pearl River Delta [PRD], Beijing-Tianjin-Hebei [BTH], Yangtze River Delta [YRD], and Sichuan Basin [SCB]) and four rural regions (Northeast Region [NER], Mongolian Region [MR], West Region [WR], and Tibetan Plateau Region [TR]) were selected for the analysis. Overall, a significant but fluctuating increase in SO2 concentrations over China was observed during 1980–2021. During 1980–1997 and 2000–2010, there was an increase in SO2 concentration, while during 1997–2000 and 2010–2021, a decreasing trend was observed. The average increase in SO2 concentration was approximately 16 times higher in urban regions than in the rural background. We also found that SO2 dynamics were highly associated with expansion of urban areas, population density, and gross domestic product. Nonetheless, since 2007, SO2 concentrations have exhibited a downward trend, which is mainly attributed to the air pollution policies implemented by the Chinese government. Our findings highlight the need for further studies on the impact of SO2 on regional climate change in China.

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Long-Term (1951–2007) Rainfall Trends around Six Indian Cities: Current State, Meteorological, and Urban Dynamics

Cited by 26 publications

References 97 publications

Spatial distribution of secular trends in rainfall indices of Peninsular Malaysia in the presence of long‐term persistence

Spatial distribution of secular trends in rainfall indices of Peninsular Malaysia in the presence of long‐term persistence

Spatiotemporal patterns and trends of Indian monsoonal rainfall extremes

Long-Term Dynamics of Atmospheric Sulfur Dioxide in Urban and Rural Regions of China: Urbanization and Policy Impacts

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