306
P. Verma et al.
Acknowledgements Analyses and visualizations used in this study were produced with the
Giovanni online data system, developed and maintained by the Goddard Earth Sciences Data and
Information Services Center (GES DISC), National Aeronautics and Space Administration (NASA).
References
1. Rehman H (2012) An analysis of past three-decade weather phenomenon in the mid-hills of
Sikkim and strategies for mitigating possible impact of climate change on agriculture (http://sik
envis.nic.in/writereaddata/)
2. Guhathhakurta P (2006) Long-range monsoon rainfall prediction of 200 for the districts and
sub-division Kerala with artificial neural network. Curr Sci 90(6):773–779
3. Burlando P (1993) Forecasting of short-term rainfall using ARMA models. J Hydrol 144:193–
211
4. Wang HR, Wang C, Lin X, Kang J (2014) An improved ARIMA model for precipitation
simulations. Nonlinear Process Geophys 21:1159–1168
5. Lucio PS (2007) Spatiotemporal monthly rainfall reconstruction via artificial neural networkcase: study: South of Brazil. Adv Geosci 10:67–76
6. Yun-Jian Z (2017) Changes in extreme precipitation events over the Hindu Kush Himalayan
region during 1961–2012. Adv Clim Change 8:166–175
7. Makridakis S, Hibon M (1997) ARMA models and the Box-Jenkins methodology. J Forecast
16:147–163
8. Veiga CPD, Veiga CRPD, Catapan A, Tortato U, Silva (2014) Demand forecasting in food
retail: a comparison between the holt winters and ARIMA models. WSEAS Trans bus econom
11:608–614
P. Verma et al.
Acknowledgements Analyses and visualizations used in this study were produced with the
Giovanni online data system, developed and maintained by the Goddard Earth Sciences Data and
Information Services Center (GES DISC), National Aeronautics and Space Administration (NASA).
References
1. Rehman H (2012) An analysis of past three-decade weather phenomenon in the mid-hills of
Sikkim and strategies for mitigating possible impact of climate change on agriculture (http://sik
envis.nic.in/writereaddata/)
2. Guhathhakurta P (2006) Long-range monsoon rainfall prediction of 200 for the districts and
sub-division Kerala with artificial neural network. Curr Sci 90(6):773–779
3. Burlando P (1993) Forecasting of short-term rainfall using ARMA models. J Hydrol 144:193–
211
4. Wang HR, Wang C, Lin X, Kang J (2014) An improved ARIMA model for precipitation
simulations. Nonlinear Process Geophys 21:1159–1168
5. Lucio PS (2007) Spatiotemporal monthly rainfall reconstruction via artificial neural networkcase: study: South of Brazil. Adv Geosci 10:67–76
6. Yun-Jian Z (2017) Changes in extreme precipitation events over the Hindu Kush Himalayan
region during 1961–2012. Adv Clim Change 8:166–175
7. Makridakis S, Hibon M (1997) ARMA models and the Box-Jenkins methodology. J Forecast
16:147–163
8. Veiga CPD, Veiga CRPD, Catapan A, Tortato U, Silva (2014) Demand forecasting in food
retail: a comparison between the holt winters and ARIMA models. WSEAS Trans bus econom
11:608–614
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