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Monthly rainfall data was used to calculate the SPI.
The average monthly rainfall data are shown in Fig. 2.
Several studies used monthly rainfall data to estimate rainwater tank outcomes.
However, quantification using daily rainfall data will be much more accurate compared to using monthly rainfall data.
GEV distribution provides a good fit to the monthly rainfall data in Bangladesh (Ghosh et al. 2016).
In RWH system performance predictions, direct use of monthly rainfall data may lead to considerable error instead of using daily rainfall data.
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Monthly averaged sunspot number data were obtained from the NASA website (http://www.nasa.gov), and monthly mean rainfall data for 26 years (1980 2005) obtained from the IMD for the Delhi, Kolkata, and Trivandrum stations were used.
The probability analysis of monthly rainfall series data was carried out.
There was a strong correlation between the BOM's monthly rainfall district data and the monthly rainfall averaged across each sentinel chicken testing site in that district (Pearsons Correlation Coefficient >0.900 for all rainfall districts other than District 40, where it was 0.887, p < 0.001 for all Districts).
Current analysis outcomes were compared with an earlier analysis using monthly average rainfall data.
It is found that analysis using monthly average rainfall data overestimates the required rainwater tank size.
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