Space-Time Variability of Summer Temperature Field over Bangladesh during 1948-2007. Bhowmik, A. K. & Cabral, P. In Murgante, B., Misra, S., Carlini, M., Torre, C. M., Nguyen, H., Taniar, D., Apduhan, B. O., & Gervasi, O., editors, Computational Science and Its Applications – ICCSA 2013, of Lecture Notes in Computer Science, pages 120–135. Springer Berlin Heidelberg, 2013.
Space-Time Variability of Summer Temperature Field over Bangladesh during 1948-2007 [link]Paper  abstract   bibtex   
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.
@incollection{bhowmik_space-time_2013,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {Space-{Time} {Variability} of {Summer} {Temperature} {Field} over {Bangladesh} during 1948-2007},
	copyright = {Com2},
	isbn = {978-3-642-39648-9 978-3-642-39649-6},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-39649-6_9},
	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.},
	number = {7974},
	urldate = {2013-08-06},
	booktitle = {Computational {Science} and {Its} {Applications} – {ICCSA} 2013},
	publisher = {Springer Berlin Heidelberg},
	author = {Bhowmik, Avit Kumar and Cabral, Pedro},
	editor = {Murgante, Beniamino and Misra, Sanjay and Carlini, Maurizio and Torre, Carmelo M. and Nguyen, Hong-Quang and Taniar, David and Apduhan, Bernady O. and Gervasi, Osvaldo},
	year = {2013},
	keywords = {Algorithm Analysis and Problem Complexity, Climate, Climatic Shift, Computer Communication Networks, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Simulation and Modeling, Software Engineering, Spatial Interpolation, Spatiotemporal Variability, Temporal Trend, Trend},
	pages = {120--135},
}

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