title: Spatiotemporal patterns and trends of Indian monsoonal rainfall extremes.
abstract: 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 towards 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.
authors.affiliation: Carolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics, CB #3250, University of North Carolina, Chapel Hill, NC 27599, USA; Department of Mathematics, Dartmouth College, Hanover, NH 03755, USA.
authors.forename: Nishant
authors.initials: N
authors.lastname: Malik
authors.affiliation: Institute of Earth and Environmental Science, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14467 Potsdam-Golm, Germany.
authors.forename: Bodo
authors.initials: B
authors.lastname: Bookhagen
authors.affiliation: Carolina Center for Interdisciplinary Applied Mathematics, Department of Mathematics, CB #3250, University of North Carolina, Chapel Hill, NC 27599, USA.
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Mucha