DATA WAREHOUSING AND DATA MINING APPLICATIONS FOR RECENT WATER VAPOUR DISTRIBUTION STUDIES OVER INDIA

Venkata Sheshanna Kongara; Dr. D.Punyasesudu

Volume : IV, Issue : VI, June - 2015

DATA WAREHOUSING AND DATA MINING APPLICATIONS FOR RECENT WATER VAPOUR DISTRIBUTION STUDIES OVER INDIA

Venkata Sheshanna Kongara, Dr. D. Punyasesudu

Abstract :

Meteorology is one of the most significant area of practice and research of the atmospheric concerns that focuses on weather circumstances and exploration, In that atmospheric water vapour plays an important role in radio communications for both terrestrial and earth space communication systems as well as for global climate change studies. Hence the water vapour data and its information plays vital role for scientists and researchers to evaluate the hidden patterns, trends for analysis and forecasting. In general radiosonde observations are the primary source of upper air water vapour data and are being used for estimation of different atmospheric parameters, on the other hand different statistical and scientific methods are using to process the meteorological datasets in water vapour studies and have many data level limitations, challenges in storing, retrieving, managing and exploration of these structured and un–structured data; which is very large in size, accordingly the approaches of data maintenance and conversion involves in time consuming, expensive, and complex to mitigate the accurate results. Currently there are extraordinary prospects in the Information Systems to analyze these data and explore. The data warehousing and data mining applications are the most emerging features which are endorsed that information to be accessed easily and efficiently. This paper presents various analytics of the recent water Vapour distribution Studies over India by using these applications, The most recent version of the Meteorological Radiosonde data from British Atmospheric Data Centre (BDAC) are used for these studies. As a part of this study, radiosonde observations over 34 Indian stations pertaining to a period of 17 years from 1997 to 2014 obtained from the British Atmospheric Data Centre(BADC) are integrated and analyzed from the different met parameters of air temperature, dew point temperature and pressure levels for water vapour concentrations estimation at different height (pressure levels). The datasets assimilation and Classification has been carried out by using data warehousing and data mining techniques and applied better data analytics for precise results. The observational results of surface level water vapour distribution patterns and trends are presented in the form of Physiographic Divisions, annual and seasonal charts for better decision supporting systems. In fact it is an improved version of the detailed studies related to water vapour distribution over India.