THROUGHOUT history, numerous techniques and experiments were performed by meteorologists to predict the weather with greater efficacy over time.

Due to substantial advances in technology, it is now possible to forecast the weather days and even months - which was not truly possible before the mid-20th century.

The use of computer models became widespread mainly throughout the 1960s, as the first weather satellites were launched. The types of computer models that are used in forecasts depend mostly on the type of climate and weather conditions.

Such models are primarily used to forecast substantial changes in the earth's climate.

Climate is the average weather conditions in the area for a prolonged period of time. Therefore, climate models use a combination of statistical and current data to provide a reasonable forecast.

The CFS is one of the primary climate models used for forecasting planetary scale weather conditions such as EI Nino, Madden Julian Oscillations [MJO], and Monsoons.

Mesoscale models are mainly used to forecast the weather locally. Mesoscale in meteorological  terms means the atmospheric conditions ranging usually from two to 20km.

Synoptic and climate models usually do not have enough resolution to forecast localized weather conditions such as ::

Single cellular thunderstorms and tornadoes.

The North American Model [NAM] is commonly used to forecast local weather conditions.

The honor and serving of the latest operational research on Weather and Forecasting continues to Part 2.  The World Students Society thanks author and researcher Judersen Jean.


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