TY - GEN
T1 - Space-time variability of summer temperature field over Bangladesh during 1948-2007
AU - Bhowmik, Avit Kumar
AU - Cabral, Pedro
N1 - Bhowmik, A. K., & Cabral, P. (2013). Space-time variability of summer temperature field over Bangladesh during 1948-2007. In Computational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings (PART 4 ed., pp. 120-135). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7974 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-39649-6-9
PY - 2013/8/1
Y1 - 2013/8/1
N2 - 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.
AB - 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.
KW - Climate
KW - Climatic shift
KW - Spatial interpolation
KW - Spatiotemporal variability
KW - Trend
UR - http://www.scopus.com/inward/record.url?scp=84880743221&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39649-6-9
DO - 10.1007/978-3-642-39649-6-9
M3 - Conference contribution
AN - SCOPUS:84880743221
SN - 9783642396489
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 120
EP - 135
BT - Computational Science and Its Applications, ICCSA 2013 - 13th International Conference, Proceedings
T2 - 13th International Conference on Computational Science and Its Applications, ICCSA 2013
Y2 - 24 June 2013 through 27 June 2013
ER -