Design and implementation of weather fore casting system based on cloud computing and data mining techniques

  • Authors

    • Rajarajeswari P
    • J Pradeep kumar
    • D Vasumathi
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10584
  • Weather Forecasting, Cloud Computing, Data Assimilation, Atmospheric Conditions.

  • Software engineering is an engineering discipline which is used to analyze, modeling and development of the system. Normally Weather conditions are changing continuously with respective to atmospheric conditions. In the phase of modeling of the Weather fore casting system is performed by taking the data which is collected on atmospheric conditions and record temperature, rainfall, humidity and other parameters. The main objective of this paper is focused on Design and implementation of Weather forecasting system. Weather forecasting model is prepared by using Cloud computing and Data mining techniques. This System is analyzed by using temperature, rainfall conditions. Statistical framework is provided on Modeling for surface process of weather forecasting with Data assimilation. This paper presents the Conceptual level architecture of Weather prediction model by using decision tree. Proposed algorithm is used for the construction of decision tree. Weather forecasting report is implemented by using Android.

  • References

    1. [1] K.Rupakumar,A.K.Sahai,K.Krishnakumar,S.K.Patwardhan.etalâ€High resolution climate change scenarios for India for the 21stcentury.Indian Institute of Tropical Meteorology,Pune411008,India.Currentscience ,Vol.90,NO.3,10 February 2006.

      [2] MeghaliA.Kalyankar,Prof.S.J.Alaspurkar,“DataMining Technique to analyse the Metrological Data,International Journal of Advanced Research in Computer science and Software Engineering,Volume 3 Issue 2,February 2013.

      [3] Chen.F and J.Dudhia Coupling an advanced land surface –hydrology model with Penn state-NCAR MM5 modeling System. Part I: Model implementation and sensitivity.Mon.Wea.Rev, 129, 569-585.

      [4] Rohitkumaryadav,Ravi Khatri, “A Weather forecasting model using the DataMiningTechniqueâ€,International Journal of Computer Applications Volume 139-N0.14,April 2016.

      [5] FororunsoOlaiya Application of Data mining Techniques in Weather Prediction and Climate Change Studies.â€International Journal of Information Engineering and Electronic Business 2012, 1, 51-59. DOI:10.5815/ijieeb.2112.01.07.

      [6] Ghil,M and P.PMalanotte-Rizzoli.Data assimilation in meteorology and oceanography.Adv.Geophys.,33,141-266.

      [7] Glahn, B. Comments-Reforecast: An important data set for improving weatherpredictions.Bull.Amer.Meteor.Soc. 89, 1373-1378.

      [8] HansonC.E.,J.P.Palutikof,M.T.J.Livermore, etal.Modelling the impact of climate extremes: an overview of the MICE project. Climate change, 81, 163-177.

      [9] Heintzenberg, J. andR.J.Charlson (2007).Clouds in the perturbed Climate System: Their relationship to energy balance, Atomspheric Dynamics and precipitation Cambridge,USA: MIT press.

      [10] MeghaliA.Kalyankar,Prof.S.J.Alaspurkar,“DataMining Technique to analyse the Metrological Data,International Journal of Advanced Research in Computer science and Software Engineering,Volume3Issue2,February 2013.

      [11] ChybickiA,Lubniewski.Z,Bruniecki.K,Markiewicz.Lâ€Numerical weather prediction-Data fusion to GIS systems and potential applications,Croatian information technology association.-GIS Forum,university of Silesia,Zagerb 2011,56-61.

      [12] S.L.Belousov,L.V.BerkovichandI.G.Sitnikov“Mathematical modeling in Meteorology and Weather forecasting “Mathematical models of life support system.

      [13] P.Rajarajeswari,Dr.A.Ramamohanreddy,Dr.D.Vasumathi “Problem Solving Process Based on Conceptualmodel with Mathematical Techniques, “International Journal of Computer & Mathematical SciencesISSN2347 – 8527 Volume 3, Issue 6 August 2014

      [14] https://developer.android.com/index.html.

      [15] Evans, J.P.21st century climate change in the Middle East. Climate Change, 92, 417, 432, doi: 10.1007/s10584-008-9438-5.

  • Downloads

  • How to Cite

    P, R., Pradeep kumar, J., & Vasumathi, D. (2018). Design and implementation of weather fore casting system based on cloud computing and data mining techniques. International Journal of Engineering & Technology, 7(2.7), 219-224. https://doi.org/10.14419/ijet.v7i2.7.10584