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Change detection in rainfall and temperature patterns over India

Published: 28 June 2009 Publication History

Abstract

The changes in rainfall and temperature patterns over India were detected using Mann-Kendall trend test, Bayesian change point analysis, and a hidden Markov model. A regionalization method was developed to identify homogeneous regions that experience similar weather states. The regionalization helped in finding contiguous regions with strong change signals. The data were investigated at different temporal and spatial resolution to explore the nature of changes. The study found that all India summer monsoon is stable, but the winter or the north-east monsoon is gradually intensifying. It also detected an abrupt drop in the winter and spring temperature over north-central India and a gradual increase in the summer temperature over the peninsular India. Robustness of the detected changes were evaluated using recent reanalysis datasets.

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cover image ACM Conferences
SensorKDD '09: Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data
June 2009
150 pages
ISBN:9781605586687
DOI:10.1145/1601966
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 June 2009

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Author Tags

  1. Indian summer monsoon
  2. bayesian change point analysis
  3. hidden markov models
  4. markov random fields
  5. trend

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  • (2022)Evaluation of change points and persistence of extreme climatic indices across IndiaNatural Hazards10.1007/s11069-022-05787-wOnline publication date: 23-Dec-2022
  • (2021)A Markov Chain Monte Carlo Algorithm for Spatial SegmentationInformation10.3390/info1202005812:2(58)Online publication date: 30-Jan-2021
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