An Experiment of Wet and Dry Day Prediction and Qualitative Precipitation Forecast using Data Mining Technique for Port Blair Station

Authors

  • R. Bala Krishnan, S. Meganathan, N. Rajesh Kumar, J. Senthil Kumar, D. Narasimhan

Abstract

Short range rainfall forecast is usually given based on the synoptic situation.  However point rainfall forecast is still a challenging task for the forecasters.  With the recent developments of internet several new techniques have evolved in various fields.  Data mining presents various rule based techniques and classifier methods for data analysis and extracting knowledge from different fields.  The same is tried to forecast the rainfall in a day during various months of North East monsoon at Port Blair, a place of tourist importance station which is an island in Andaman group in Bay of Bengal. The tool is also tested for the qualitative forecast of rain and experimental results are summarized here.

Downloads

Published

2020-05-10

Issue

Section

Articles