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Using Sliding Window Algorithm for Rainfall Forecasting

  • M. Vijaya Chitra
  • Grasha Jacob
Conference paper
  • 34 Downloads

Abstract

Rainfall forecasting has been an onerous task to deal with. However, it is a part and parcel to sustain our life since it affects not only the agriculture growth but also the farming community. Rainfall prediction will definitely pose a great challenge but for meticulous planning and management of water resources. Therefore, this chapter presents an approach for rainfall prediction using Sliding Window concept with Jaccard distance metric measure. The Sliding Window Algorithm watches the information during a similar period in an earlier year and predicts precipitation in the next year. Using Sliding Window Algorithm, the precipitation expectation test was tested for Tirunelveli District, Tamil Nadu, India, using the rainfall data for a 10-year period.

Keywords

Rainfall forecasting Sliding window Root-mean-square error Jaccard distance 

Abbreviations

SWA

Sliding window algorithm

MSE

Mean square error

GRMSE

Geometric root-mean-square error

RMSE

Root-mean-square error

JD

Joint director

EY

Earlier year

PY

Present year

EV

Earlier variation

PV

Present variation

MPV

Mean present variation

MEV

Mean earlier variation

PRV

Predicted variation

AR

Average rainfall

FR

Forecasted rainfall

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • M. Vijaya Chitra
    • 1
  • Grasha Jacob
    • 1
  1. 1.Department of Computer Science, Rani Anna Government College for WomenManonmaniam Sundaranar UniversityTirunelveliIndia

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