Abstract
The present study aimed at quantifying the change in surface air temperature and monthly total rainfall. The changing trend was detected using Mann–Kendall trend test, seasonal Mann–Kendall trend test, and Sen’s slope estimator. K-means clustering algorithm was used to identify the rainfall distribution patterns over the years and also their changes with time. A comparative analysis was done among different time series prediction models to find out their suitability for forecasting daily temperature in climatic condition of Bangladesh. The analysis was performed using daily temperature and rainfall data of more than last 40 years (till 2009). The study found an increasing trend in maximum temperature during June to November and in minimum temperature during December to January in Bangladesh. There has been seen no significant change in rainfall over the years. However on the western side of the country, the amount of rain is significantly less than the eastern side. The study found that different prediction models were appropriate for different conditions.
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Notes
- 1.
For time series prediction, missing data were replaced by the data of the previous day. Months, where more than 50 % data were missing, were not included in calculation.
References
Ahasan MN, Chowdhary Md AM, Quadir DA (2010) Variability and trends of summer monsoon rainfall over Bangladesh. J Hydrol Meteorol 7(1):1–17
Assimakopoulos V, Nikolopoulos K (2000) The theta model: a decomposition approach to forecasting. Int J Forecast 16:521–530
Bangladesh Meteorological Department (2012) http://www.bmd.gov.bd/
Basak JK, Titumir RAM, Dey NC (2013) Climate change in Bangladesh: a historical analysis of temperature and rainfall data. J Environ 2(2):41–46
Box G, Jenkins G (1970) Time series analysis: forecasting and control. Holden-Day, San Francisco
Chowdhury MHK, Debsarma SK (1992) Climate change in Bangladesh—a statistical review. In: Report of IOC-UNEP workshop on impacts of sea level rise due to global warming, NOAMI, Intergovernmental Oceanographic Commission, Dhaka, 16–19 Nov 1992
Corte-Real J, Qian B, Xu H (1998) Regional climate change in Portugal: precipitation variability associated with large-scale atmospheric circulation. Int J Climatol 18:619–635
Debsarma SK (2003) Intra-annual and inter-annual variation of rainfall over different regions of Bangladesh. In: Proceedings of SAARC seminar on climate variability in the south Asian region and its impacts, SAARC Meteorological Research Centre, Dhaka, 20–24 Dec 2002
Gaoliao J, Zhiwei Z, Hailin Z (2012) Trend analysis of air temperature between 1979–2000 in Hubei Province. Paper presented at the World Automation Congress (WAC), Puerto Vallarta, 24–28 June 2012
Gilbert RO (1987) Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold, New York
Hall M, Frank E, Holmes G, Pfahringer B, Reutemann P, Witten IH (2009) The WEKA data mining software: an update. SIGKDD Explor 11(1):10–18
Helsel DR, Hirsch RM (1992) Statistical methods in water resources. Elsevier, New York
Hirsch RM, Slack JR, Smith RA (1982) Techniques of trend analysis for monthly water quality data. Water Resour Res 18(1):107–121
Huang F, Wang X (2011) Spatial and temporal variation of monthly rainfall nonuniformity of the upper Yangtze basin. Paper presented at international symposium on water resource and environmental protection, Xi’an, Shaanxi Province, 20–22 May 2011
Islam AS (2009) Analyzing changes of temperature over Bangladesh due to global warming using historic data. In: Proceedings of the young scientists of Asia conclave: pressing problems of humankind: energy & climate, Bangalore, 15–17 Jan 2009
Jain SK, Kumar V, Saharia M (2013) Analysis of rainfall and temperature trends in North East India. Int J Climatol 33(4):968–978
Karmakar S, Shrestha ML (2000) Recent climate changes in Bangladesh. In: SAARC Meteorological Research Centre (SMRC), SMRC-No. 4, SMRC Publication, Dhaka
Kendall M (1975) Rank correlation methods. Charles Griffin & Company, London, England
Kumar V, Jain SK (2010) Trends in seasonal and annual rainfall and rainy days in Kashmir valley in the last century. Quatern Int 212:64–69
MacQueen JB (1967) Some methods for classification and analysis of multivariate observations. In: Proceedings of fifth Berkeley symposium on mathematical statistics and probability, University of California Press, Berkeley, pp 81–297
Mann HB (1945) Nonparametric tests against trend. Econometrica 13:245–259
Mia NM (2003) Variations of temperature in Bangladesh. In: Proceedings of SAARC seminar on climate variability in the south Asian region and its impacts, SAARC Meteorological Research Centre, Dhaka, 20–24 Dec 2002
Nahrin Z, Munim AA, Begum QN, Quadir DA (1997) Studies of periodicities of rainfall over Bangladesh. J Remote Sens Environ 1:43–54
Pelczer IJ, Cisneros-Iturbe HL (2008) Identification of rainfall patterns over the Valley of Mexico. Paper presented at the 11th international conference on urban drainage, Edinburgh, 31 Aug–5 Sept 2008
Pesaran MH, Pick A (2009) Forecasting random walks under drift instability. Cambridge working papers in economics, Faculty of Economics, University of Cambridge, Cambridge
R Core Team (2013) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. ISBN 3-900051-07-0, http://www.R-project.org/
Ramos MC (2001) Divisive and hierarchical clustering techniques to analyse variability of rainfall distribution patterns in a Mediterranean region. Atmos Res 57(2):123–138
Rana M, Shafee S, Karmakar S (2007) Estimation of rainfall in Bangladesh by using southern oscillation index. Pak J Meteorol 4(7):7–23
Sen PK (1968) Estimates of the regression coefficient based on Kendall’s tau. J Am Stat Assoc 63:1379–1389
Singh P, Kumar V, Thomas T, Arora M (2008a) Basinwise assessment of temperature variability and trends in the northwest and central India. Hydrol Sci J 53:421–433
Singh P, Kumar V, Thomas T, Arora M (2008b) Changes in rainfall and relative humidity in different river basins in the northwest and central India. Hydrol Process 22:2982–2992
Tripathi S, Govindaraju RS (2009) Change detection in rainfall and temperature patterns over India. In: Proceedings of the third international workshop on knowledge discovery from sensor data, ACM, New York, pp 133–141
Warrick RA, Bhuiya AH, Mirza MQ (1994) The greenhouse effect and climate change: briefing document no. 1. Dhaka, Bangladesh Unnayan Parishad, pp 17–20
Wilcoxon F (1945) Individual comparisons by ranking methods. Biometrics Bull 1(6):80–83
Xi-ting L, Chun-qing G, Xiao Y (2011) Evolvement analysis about rainfall-runoff in the upper stream of Li River under the changeable environment. Paper presented at the international conference on remote sensing, environment and transportation engineering, Nanjing, 24–26 June 2011
Yue S, Hashino M (2003) Temperature trends in Japan: 1900–1990. Theor Appl Climatol 75:15–27
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Azad, A.S., Hasan, M.K., Rahman, M.A.I., Rahman, M.M., Shahriar, N. (2014). Exploring the Behavior and Changing Trends of Rainfall and Temperature Using Statistical Computing Techniques. In: Islam, T., Srivastava, P., Gupta, M., Zhu, X., Mukherjee, S. (eds) Computational Intelligence Techniques in Earth and Environmental Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8642-3_3
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