For some people weather forecastsare just for surety of good day ahead. But for some people it is everything.Their bread and butter depends upon it.
By applying artificial intelligenceknowledge we have been able to transforms life of many people and giving them anew chance. Companies and governments are collecting dataof winds, water and soil from satellites and different devices installed on differentportions on earth. Physical understanding of environment with the combinationof artificial intelligence improves prediction skills for multiple types ofnatural disasters like thunderstorms, tornadoes, hurricanes, volcanic eruptions,earthquakes and many more. Hail forecasting can beforecasted accurately by using machine learning according to research paper. Hailcause billions of dollars damages every year. Many cars, airplanes andbuildings are effected in hail storms. By forecasting hail storms cars can bemoved to safe places, flights can be delayed and prevention measures can betaken for buildings to protect them from heavy damages.
IBM is commercializingits weather forecasting for that purpose so warning can be issued to people fromheavy damage. Big companies like IBM, Panasonicare working on their weather forecasting systems and increasing its accuracy dayby day by applying new developed and refined artificial intelligence and computationalintelligence techniques. Better weather forecasting allows airlines to changetheir routes and save money and time, improve safety and increase on timearrivals. Better weather predictions hasdirect effect on different fields of life.
It directly effects the agriculture,90% of crops are destroyed by weather conditions. It can be controlled byproper weather conditions. If damage is inevitable then we can save our moneyand time by not planting that kind of crops that are not suitable for that kindof weather condition. Transportation is improved byweather forecasting a lot. Directing routes of flights in near storm save manylive and money than ever. Road transport is improved by making optimized routesfor hilly and severe condition areas.
The company using Panasonic’s weatherforecasting shows significant rise in commercial aircrafts climb profileoptimization. . They claim their system can reduce fuel consumption by up to 10percent during ascent. By putting in that perspective, US airline carriersspent $24.6 billion on fuel last year.
Better weather forecasting saves manylives and helps to speed up the rebuilding efforts. IBM has started combining theirweather forecasting tools with information about utilities’ distributionnetworks and data about local ground cover for severe storms. By using machinelearning, they are predicting likely outages. IBM claims they deliver damage predictions thatare 70 to 80 percent accurate 72 hours before the storm is expected.Weather related data source willcontinue to grow dramatically and the new advances in machine learning aremaking it possible for government agencies and companies to make better use ofall this data.
Weather is always unpredicted and it can never be trulyperfected, but AI will allow to make consistent improvement in its accuracy andin its resolution. More refined and localizedweather information will help to make it easier to find distinct patterns andconnections in them. Even small improvements in weather forecasting will givecompanies new useful pieces of data by finding new correlations and givingcompanies more lead time to take advantage of them.