Kindly provide me datail about the same without using model.
please also suggest good model for the same.
Thanks in advance.
Yes, look at this conference paper from last ISCRAM, http://idl.iscram.org/files/jorgevargas/2016/1354_JorgeVargas_etal2016.pdf
Regards
Yes, but you can only check whether you are correct or not by waiting for 2050...
Hi Dr. Gupta,
You can project your rainfall time series towards future time (forecast) using
Exponential smoothing. What particular technique of smoothing you use depends on your data, for instance, If you have a time series that can be described using an additive model with increasing or decreasing trend and no seasonality, you can
use Holt’s exponential smoothing.
In R you can use the function "forecast.HoltWinters()" of package “forecast”.
A brilliant book on time series forecast is:
Coghlan A. (2015). "A Little Book of R For Time Series", which can be found in the
internet:
http://a-little-book-of-r-for-time-series.readthedocs.io/en/latest/
Hope it helps.
Augusto
Mr. Jorge Vargas,
Thank you, actually i was asking about the rainfall prediction but there is nothing in this paper.
Regards.
Dr. Anand Dev Gupta
L. Augusto Sanabria,
Hope you are doing well.
Thank you so much for the your valuable comments.
Regards
Dr. Anand Dev Gupta
Predicting any form of weather is always problematic. If the only inputs are previous rainfall values, I suggest you use a straightforward regression model. There is little point adding complexity to the model when it is not clear if the training data is adequate to predict the future. Ideally you would at least need to add some some attribute which increases rainfall based on say global warming predictions.
Oleary Sir,
Thank you so much for your kind co-operation.
I would like ti try it sure.
Regards
Dr. A D Gupta
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