Review Paper On Weather Forecast Using cloud Computing Technique
| Author(s) | : | Miss. Kavita Gajanan Patond, Prof. Arvind S. Kapse |
| Institution | : | Deparment of computer Science & Engineering, P.R. Pote(Patil) College OF Engineering & Management, Amravati |
| Published In | : | Vol. 4, Issue 12 — December 2017 |
| Page No. | : | 302-306 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Weather forecasting is the application of science and technology to predict the state of the atmospherefor a given location. Ancient weather forecasting methods usually relied on observed patterns of events, also termedpattern recognition. For example, it might be observed that if the sunset was particularly red, the following day oftenbrought fair weather. However, not all of these predictions prove reliable. Here this system will predict weatherbased on parameters such as temperature, humidity and wind. This system is a web application with effectivegraphical user interface. User will login to the system using his user ID and password. User will enter currenttemperature; humidity and wind, System will take this parameter and will predict weather from previous data indatabase.The role of the admin is to add previous weather data in database, so that system will calculate weather basedon these data. Weather forecasting system takes parameters such as temperature, humidity, and wind and willforecast weather based on previous record therefore this prediction will prove reliable. This system can be used inAir Traffic, Marine, Agriculture, Forestry, Military, and Navy etc. Weather forecasting is mainly concerned with theprediction of weather condition in the given future time. Weather forecasts provide critical information about futureweather.
Miss. Kavita Gajanan Patond, Prof. Arvind S. Kapse, “Review Paper On Weather Forecast Using cloud Computing Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 12, pp. 302-306, December 2017.








