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Development of Weather Processing System by Integrating Weather Data into GIS
Dr. Sridhar Vadlapudi
Research Scholar , Center for Environmental Remote Sensing ,
Chiba University, 1-33, Yayoi-Cho, Inage-Ku,Chiba,
263-8522, Japan.
vadlapudi@hotmail.com
1 Introductiion:
1.1 Introduction:
Nowadays there are many sources of weather data, maps, and tables. This study will briefly describe methods to combine these sources to assist one in understanding current and future weather patterns for any location in the world using desktop mapping systems. There are wildest weather conditions prevailing in almost every corner of the world. The normal conditions will show swings in temperature from 120 degrees F heat, -30 degrees F cold, tropical humidity, dryness of the desert, and the destructiveness of tornadoes, hurricanes, snowfall, and hail storms. These weather conditions are very important and have a continued effect on every individual in the world. Weather plays a significant factor in the operations of many businesses and/or industries in the world.
When it comes to protecting people, property and businesses, managers in our largest metro areas face challenges and threats more complex than ever. More often than not, weather is at the heart of any given emergency, and government officials need the best information possible to prepare for the impact of a severe weather event and to support future and long-term city planning issues, e.g. the insurance industry uses weather data for storm damage to support claim adjustment and planning. The electric power industry uses climate and severe weather analysis to support planning and repair of power grids and production capacity. Agribusiness uses past, present and forecast weather variables to estimate crop production
The transportation industry, whether it is road, rail, or air, has specific weather requirements. The integration of real-time weather information into a GIS-based transportation management system is now not only possible but also much easier and more practical to implement. Many applications are possible. For example, very accurate and immediate determinations of what sections of pavement are being affected by specific weather features can allow more accurate traffic metering, rerouting options, and fuel and safety management.
Agriculture professionals, so often dependent upon the weather, can, with access to GIS-ready weather, not only display but also objectively analyze the potential effects weather will have on their crops. The emerging field of precision agriculture can greatly benefit from having georegistered weather information that can, within a GIS, accurately map and calculate cropland section by section in conjunction with weather parameters. For example, the mapping of past precipitation derived from radar over a section of cropland, within a GIS, can easily be accomplished. Whereas individual rain gauges only measure precipitation at their point, radar derived precipitation estimates converted into GIS formats afford the agricultural community, for the first time ever, the ability to easily and quantitatively evaluate the spatial and temporal variations of rainfall.
With the right weather information delivered at the right time, many business leaders could make more profitable decisions. Here are just a few examples:
A railroad dispatcher sees a heavy storm with damaging winds headed in the direction of a moving freight train. He orders the train to stop, and avoids a catastrophic derailment.
A pilot gets weather update just before take-off. Seeing a nasty thunderstorm headed through his flight plan, he alters the plan? Saving thousands in fuel costs, and keeping his crew and cargo safe.
A golf course superintendent fertilizes the course, only to have a sudden shower wash away thousands of dollars worth of fertilizer. Accurate, up-to-the minute weather data would have prevented that loss.
These are real, everyday situations, and they are typical of the many ways Weather system brings bottom-line value to business. In this scenario Weather Processing System plays an important role as Decision Support System (DSS) for any individual or Organization.
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