Trend analysis and ARIMA modelling of pre-monsoon rainfall data for western India

Comptes Rendus - Geoscience

Volumn 345, Issue 1, 2013, Pages 22-27

  Narayanan, Priya ^a   Basistha, Ashoke ^b   Sarkar, Sumana ^a   Kamna, Sachdeva ^a  

^a TERI UNIVERSITY   (India)

^b DGM (Hydro Civil)   (India)

Author keywords

Auto Regressive Integrated Moving Average (ARIMA); Forecast; India; Pre monsoon; Pre whitened Mann Kendall Test; Rainfall trend; Theil and Sen's Median Slope

Indexed keywords

ATMOSPHERIC MODELING; MONSOON; RAINFALL; REGRESSION ANALYSIS; TREND ANALYSIS; WEATHER FORECASTING;

INDIA;

EID: 84873993680     PISSN: 16310713     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.crte.2012.12.001     Document Type: Article

References (33)

1. Bayazit M., önöz B. To prewhiten or not to prewhiten in trend analysis. Hydrol. Sci. J. 2007, 52(4):611-624.
2. Beegum N.S., Krishna Moorthy K., Suresh Babu S., Satheesh S.K., Vinoj V., Badarinath K.V.S., Safai P.D., Devara P.V.S., Singh S., Vinod D.U.C., Pant P. Spatial distribution of aerosol black carbon over India during Pre-monsoon Season. Atmos. Environ. 2009, 43:1071-1078.
3. Bhutiyani R.M., Kale S.V., Pawar J.N. Climate change and the precipitation variations in the northwestern Himalaya: 1866-2006. Int. J. Climatol. 2009, 30(4):535-548.
4. Bollasina M., Nigam S. Absorbing aerosols and pre-summer monsoon hydro climate variability over the Indian subcontinent: the challenge in investigating links. Atmos. Environ. 2009, 94:338-344.
5. Boochabun K., Tych W., Chappell N.A., Carling P.A., Lorsirirat K., Pa-Obsaeng S. Statistical modelling of rainfall and river flow in Thailand. J. Geol. Soc. India 2004, 64:503-515.
6. Box G.E.P., Jenkins G.M., Reinsel G.C. Time Series Analysis: forecasting and control 2007, Pearson Education, pp. 8-12. third ed.
7. Brockwell P., Davis R. Time Series: theory and Methods 2009, Springer International Edition, pp. 310-313. second ed.
8. Chandrashekhar A. Basics of Atmospheric Sciences 2010, PHI Learning Private Limited, pp. 280-306.
9. Chatterjee S., Ghosh S., De K.U. Reduction of number of parameters and forecasting convective developments at Kolkata (22.53°N, 88.33°E), India during pre-monsoon season: an application of multivariate techniques. Indian J. Radio Space Phys. 2009, 38:275-282.
10. Chattopadhyay S., Chattopadhyay G. Univariate modelling of summer-monsoon rainfall time series: comparison between ARIMA and ARNN. CR Geoscience 2010, 342:100-107.
11. Chattopadhyay S., Jhajharia D., Chattopadhyay G. Univariate modelling of monthly maximum temperature time series over northeast India: neural network versus Yule-Walker equation based approach. Meteorol. Appl. 2011, 18:70-82.
12. Cunderlik J.M., Burn D.H. Linkages between regional trends in monthly maximum flows and selected climatic variables. J. Hydrol. Eng. 2004, 9(4):247-255.
13. Das M.R., Mukhopadhyay K.R., Dandekar M.M., Kshirsagar R.S. Pre-monsoon western disturbances in relation to monsoon rainfall, its advancement over NW India and their trends. Curr. Sci. 2002, 11:1320-1321.
14. Dash S.K., Kumar R.J., Shekhar K.M. On the decreasing frequency of monsoon depressions over the Indian region. Curr. Sci. 2004, 86(25):1404-1411.
15. Davey C.A., Peilke R.A. Microclimate exposures of surface based weather stations: implications for the assessment of long-term temperature trends. Bull. Am. Meteorol. Soc. 2005, 86(4):497-504.
16. Dickey D.A., Fuller W.A. Estimators for autoregressive time series with a unit root. J. Am. Stat. Assoc. 1979, 74:427-431.
17. Gautam R., Hsu N.C., Lau K.M., Kafatos M. Enhanced pre-monsoon warming over the Himalayan-Gangetic region from 1979 to 2007. Ann. Geophys. 2009, 27:3691-3703.
18. Hipel K.W., McLoed A.I., Lennox W.C. Advances in Box Jenkins Modeling. 1. Model Construction. Water Resour. Res. 1977, 13(3):567-575.
19. INCCA: Indian Network for Climate Change Assessment, 2010. Climate change and India: a 4X4 assessment a sectoral and regional analysis for 2030s. 15, 36-38.
20. IPCC The Physical Science Basis. Contribution of working group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, Cambridge University Press, New York, pp. 589-663.
21. Kothawale D.R., Revadekar J.V., Rupa Kumar K. Recent trends in pre-monsoon daily temperature extremes over India. J. Earth Syst. Sci. 2010, 119(1):51-65.
22. Krishna Kumar K., Rupa Kumar K., Ashrit G.R., Deshpande R.N., Hansen W.J. Climate impacts on Indian agriculture. Int. J. Climatol. 2004, 24:1375-1393.
23. Kumar R., Narasimhulua K., Reddy R.R., Rama Gopal K., Reddy L., Siva Sankara, Balakrishnaiaha G., Krishna Moorthy K., Suresh Babu S. Temporal and spectral characteristics of aerosol optical depths in a semi-arid region of southern India. Sci. Total Environ. 2009, 407:2673-2688.
24. Lau K.M., Kim M.K., Kim K.M. Asian Summer monsoon anomalies induced by aerosol direct forcing; the role of Tibetian Plateau. Climate Dyn. 2006, 26:864-885.
25. Nigam S., Bollasina M. " Elevated heat pump" hypothesis for the aerosol-monsoon hydro climate link: " Grounded" in observations. J. Geophys. Res. 2010, 115:D16201.
26. New M., Todd M., Hulme M., Jones P. Precipitation measurement and trend in the twentieth century. Int. J. Climatol. 2001, 21:1899-1922.
27. Pal I., Al-Tabbaa A. Trends in seasonal precipitation extremes - an indicator of " climate change" in Kerala, India. J. Hydrol. 2009, 367:62-69.
28. Sarkar S., Chokngamwong R., Cervone G., Singh R.P., Kafatos M. Variability of aerosol optical depth and aerosol forcing over India. Adv. Space Res. 2005, 1-7.
29. Sun D.Z., Yu Y., Zhang T. Tropical water vapour and cloud feedbacks in climate models: a further assessment using coupled simulations. J. Climate 2009, 22(5):1287-1304.
30. Yue S., Pilon P., Cavadias G. Power of the Mann Kendall and Spearman's rho test for detecting monotonic trends in hydrological series. J. Hydrol. 2002, 259:254-271.
31. Yue S., Hashino M. Long term trends of annual and monthly precipitation in Japan. J. Am. Water Resour. Assoc. 2003, 39(3):587-596.
32. Yurekli K., Simsek H., Cemek B., Karaman S. Simulating climatic variables by using stochastic approach. Build. Environ. 2007, 42:3493-3499.
33. Zhang Q., Xu Yu C., Chen X., Zhang Z. Statistical behaviours of precipitation regimes in China and their links with atmospheric circulation 1960-2005. Int. J. Climatol. 2011, 31(11):1665-1678.