Space-time variability of summer temperature field over Bangladesh during 1948-2007

Avit Kumar Bhowmik, Pedro Cabral

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Climatic variability analysis is an emerging scientific issue for South-Asian regions, where recent climate change has imposed substantial challenges. In this paper, we analyzed the spatiotemporal variability of the yearly maximum temperature (TXx), which characterizes the summer in Bangladesh, sampled at 34 meteorological stations during 1948-2007. We identified monotonic and robust temporal trends of TXx by each station and examined the spatial pattern of TXx from interpolated surfaces in each year. We quantified the variability of TXx over space and time and indentified temporal trends in the regional mean and interpolated TXx. In contrast to the existing studies, our results depicted an overall decreasing trend in the regional TXx. A regional shift of the summer was observed due to the decreasing and increasing TXx in the warmer northern and the cooler southern regions, respectively. We discussed the relevance of our findings to the future climate change impacts on this region.

Original languageEnglish
Title of host publicationComputational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings
Pages120-135
Number of pages16
EditionPART 4
DOIs
Publication statusPublished - 1 Aug 2013
Event13th International Conference on Computational Science and Its Applications, ICCSA 2013 - Ho Chi Minh City, Viet Nam
Duration: 24 Jun 201327 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 4
Volume7974 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Computational Science and Its Applications, ICCSA 2013
CountryViet Nam
CityHo Chi Minh City
Period24/06/1327/06/13

Keywords

  • Climate
  • Climatic shift
  • Spatial interpolation
  • Spatiotemporal variability
  • Trend

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