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IBM to Improve Indian Weather Forecasts with User-Generated Data

International technology giant IBM plans to revolutionize forecasts in India by creating a superior high-resolution weather forecast model. The model, known as IBM GRAF (Global High-Resolution Atmospheric Forecasting System), relies heavily on user-generated data to greatly enhance the precision of meteorological predictions available in the country.

IBM GRAF: A New Standard for Meteorological Predictions

The introduction of IBM GRAF is set to establish a new standard in weather forecasting. It offers a considerable upgrade on the resolution of existing models. IBM’s system will generate forecasts at an impressive resolution of 3 kilometers, making it significantly more precise than India Meteorological Department’s current 12-kilometer resolution models.

An Invaluable Asset for Different Sectors

Beyond simply improving weather forecasts, the intention is for the technology to benefit and be utilized by various sectors. The weather forecasts produced by IBM GRAF will be freely accessible to the public, offering a particular advantage to farming communities whose livelihoods are greatly affected by weather conditions. Apart from the general population and agriculturalists, the advanced forecast system will also provide tailored forecasts to energy companies, consumer brands, insurance businesses, and satellite imagery analysts. The envisaged roll-out of the IBM GRAF represents a significant advancement for weather-dependent industries across the board.

Data Gathering for Enhanced Accuracy

One key element that sets IBM GRAF apart from other weather forecast models is its use of a global network of data gathering tools. In its forecast generation, IBM will tap into a myriad of sensors such as automatic weather stations, data buoys, and barometric pressure data from the cell phones of users who download the application. This extensive and diverse network of data sources will ensure a high degree of accuracy in the weather predictions produced.

Data Source Usage in IBM GRAF
Automatic weather stations Gather key meteorological data
Data buoys Monitor changes in oceanic conditions
Cell phone barometric pressure data Collect atmospheric information from a broad user base

High-Tech Power and Flexibility

The IBM GRAF runs on a powerful supercomputer, allowing it to generate sophisticated and highly accurate forecasts within desired timelines. Users can choose to receive predictions for three-day, weekly, or even fortnightly timeframes depending on their specific needs. This flexibility coupled with the detailed resolution offered by the model ensures that both casual users and commercial entities alike will find the IBM GRAF an indispensable tool for planning and decision-making.

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