Trending Regional Precipitation Distribution and Intensity: Use of Climatic Indices

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DOI: 10.4236/acs.2014.43038    2,481 Downloads   3,414 Views   Citations


Trends and variability of annual precipitation total, annual number of rainy days and two climate change related precipitation indices named Simple Daily Intensity Index (SDII) and Precipitation Concentration Index (PCI) have been investigated in this study. The analysis was based on daily and monthly precipitation data of 35 observatory stations all over Bangladesh for the study period of 1971-2010. Mann Kendall test was performed to detect the trend and Sen’s slope method to determine the magnitude of change. The results indicate statistically significant (95% confidence level) negative trend in 4 stations and significant positive trend in 2 stations for annual precipitation total. Significant positive trend in 9 stations for annual number of rainy days, significant negative trend in 6 stations for SDII and for PCI, and significant negative trend in 6 stations were found all over Bangladesh in this study. The values of PCI indicate strongly irregular precipitation distribution in South Eastern Region (SER) and mostly irregular distribution in other regions. On the other hand values of SDII indicate strong precipitation intensity in SER and mostly moderate intensity in other regions all over the country.

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Iskander, S. , Rajib, M. and Rahman, M. (2014) Trending Regional Precipitation Distribution and Intensity: Use of Climatic Indices. Atmospheric and Climate Sciences, 4, 385-393. doi: 10.4236/acs.2014.43038.


[1] White, K.S., Eds. (2007) IPCC 2007: Impacts, Adaptations and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
[2] Ahmed, A.U. and Alam, M. (1998) Development of Climate Change Scenarios with General Circulation Models. In Huq, S., Karim, Z., Asaduzzaman, M. and Mahtab, F., Eds., Vulnerability and Adaptation to Climate Change for Bangladesh, Kluwer Academic Publishers, Dordrecht, 13-20.
[3] Lai, M., Whettori, P.H., Pittodi, A.B. and Chakraborty, B. (1998) The Greenhouse Gas Induced Climate Change over the Indian Sub-Continent as Projected by GCM Model Experiments. Atmospheric and Oceanic Sciences, 9, 663-669.
[4] White, K.S., Eds. (2001) IPCC 2001: Impacts, Adaptations and Vulnerability: Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, UK.
[5] Karim, Z., Hussain, S.G. and Ahmed, M. (1996) Assessing Impacts of Climatic Variations on Food Grains Production in Bangladesh. Journal of Water Air and Soil Pollution, 92, 53-62.
[6] Murugan, V., Mukund, R., Ramesh, M.B., Hiremath, A., Joseph, R.K. and Shetty, P.K. (2008) Centennial Rainfall Variation in Semi-Arid and Tropical Humid Environments in the Cardamom Hill Slopes, Southern Western Ghats, India. Caspian Journal of Environmental Sciences, 6, 31-39.
[7] Vincent, L.A., Aguilar, M., Saindou, A., Hassane, G., Jumaux, D., Roy, P., Booneeady, R., Virasami, L.Y.A., Randriamarolaza, F.R., Faniriantsoa, V., Amelie, H. and Montfraix, B. (2011) Observed Trends in Indices of Daily and Extreme Temperature and Precipitation for the Countries of the Western Indian Ocean, 1961-2008. Journal of Geophysical Research, 116, 39-45.
[8] Rajib, M.A., Rahman, M.M. and McBean, E.A. (2011) Global Warming in Bangladesh Perspective: Temperature Projections up to 2100. Proceedings of the Global Conference on Global Warming, Lisbon, 11-14 July 2011, 43-48.
[9] Rajib, M.A., Rahman, M.M., Islam, A.K.M.S. and McBean, E.A. (2011) Analyzing the Future State of Monthly Precipitation Pattern in Bangladesh from Multi-Model Projections Using Both GCM and RCM. Proceedings of the ASCE World Environmental and Water Resources Congress, California, 22-26 May 2011, 3843-3851.
[10] Rajib, M.A., Mortuza, M.R., Selmi, S., Ankur, A.K. and Rahman, M.M. (2011) Spatial Drought Distribution in the Northwestern Part of Bangladesh. Proceedings of the Asian Conference on Sustainability, Energy and the Environment, Osaka, 2-5 June 2011, 568-575.
[11] Shahid, S. (2010) Rainfall Variability and Trends of Wet and Dry Periods in Bangladesh. International Journal of Climatology, 30, 2299-2313.
[12] Nastos, P.T., Evelpidou, N. and Vassilopoulos, A. (2010) Does Climatic Change in Precipitation Drive Erosion in Naxos Island, Greece. Natural Hazards and Earth System Sciences, 10, 379-382.
[13] Oliver, J.E. (1980) Monthly Precipitation Distribution: A Comparative Index. Professional Geographer, 32, 300-309.
[14] Michiels, P., Gabriels, D. and Hartmann, R. (1992) Using the Seasonal and Temporal Precipitation Concentration Index for Characterizing Monthly Rainfall Distribution in Spain. CATENA, 19, 43-58.
[15] Mann, H.B. (1945) Nonparametric Tests against Trend. Econometrics, 13, 245-259.
[16] Kendall, M.G. (1975) Rank Correlation Methods. Griffin, London.
[17] Sen, P.K. (1968) Estimates of the Regression Coefficient Based on Kendall’s Tau. Journal of the American Statistical Association, 63, 1379-1389.

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