Thesis Abstract

Thesis Overview

<p>Modern society’s ever-increasing demand for more accurate weather forecasts is evident to most people. The spectrum of needs for weather predictions ranges from the general publics desire to know if for instance, the weekend will permit an outing at the beach or an outdoor wedding reception. Such diverse industries as airlines and fruit growers depend heavily on accurate weather forecasts. In addition, in developed countries, the designs of buildings, smokestacks, and many industrial facilities rely heavily on a sound knowledge of the atmosphere.<br><br>Once an all-human endeavour based mainly upon changes in barometer pressure, current weather conditions and sky conditions, forecast models are now used to determine future conditions. Human input is still required to pick the best possible forecast model to base the forecast upon, which involves pattern recognition skills, knowledge of model performance and knowledge of model biases. The chaotic nature of the atmosphere, error involved in measuring the initial conditions, an incomplete understanding of atmospheric processes mean that forecast become less accurate as the difference in current time and the time for which the forecast is being made increases.<br><br>There are a variety of end users to weather forecasts. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation are important to agriculture, and therefore to commodity traders within stock markets. Temperature forecasts are also, used by utility companies to estimate demand over coming days. On an everyday basis people use weather forecasts to determine what to wear on a given day. Since in recent time especially in this part of the world, outdoor activities are severely curtailed by heavy rains, forecasts can be used to plan activities around these events, and to plan ahead and survive them.<br><br> <br><br>Historical background<br>For millennia, people have tried to forecast the weather. In 650 BC, the Babylonians predicted the weather from cloud patterns as well as astrology. In about 340 BC, Aristotle described weather patterns in Meteorologica. Chinese weather prediction lore extends at least as far back as 300 BC.<br><br>Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it might be observed that if the subset was particularly red, the following day often brought fair weather. This experience accumulated over the generations to produce weather lore. However, not all of these predictions prove reliable, and many of them have since found not to stand up to rigorous statistical testing.<br><br>It was not until the invention of the electric telegraph in 1835 that the modern age of weather forecasting began. Before this time, it had not been possible to transport information about the current date of the weather any faster than a steam train. The telegraph allowed reports of weather condition from a wide area to be received almost instantaneously by the late 1840s. This allowed forecasts to be made knowing what the weather conditions were like further upwind. The two men most credited with the birth of forecasting as science were Francis Beaufort (remembered chiefly for the Beaufort Scale) and his protégé Robert FitzRoy (developer of the Fitzroy barometer). Both were influential men in British naval and governmental circles, and though ridiculed in the press at the time, their work gained scientific credence, was accepted by the Royal Navy, and formed the basis for all of today’s weather forecasting knowledge.<br><br>Great progress was made in the science of meteorology during the 20th century. The possibility of numerical weather prediction was proposed by the British mathematician Lewis Fry Richardson in 1922, though computers did not exist to complete the vast number of calculations required to produce a forecast before the event had occurred. The first successful numerical prediction was performed in 1950 by a team composed of the American meteorologists Jule Charney, Philip Thompson, Larry Gate, and Norwegian meteorologist Ragnar Fjortoft and applied mathematician John Von Neumann, using the ENIAC digital computer.<br><br> <br><br> <br><br> <br><br>Aims and objectives<br>From current weather patterns a number of methods are used to determine the future state of atmosphere, a task generally called weather forecasting. The main aims and objectives of this research are as follows: <br><br> <br><br>To provide an insight into what weather forecasting is all about,<br>To examine how models create forecasts,<br>To provide many methods used in modern weather prediction<br>To show different aspects of life where weather forecasts could be applied, and<br>To provide recommendations that would arouse the public’s interest in accurate weather forecasts.<br> <br><br>Scope of study<br>This research is basically considering the various methods and applications of weather forecasting models with a review on how models create forecasts base on related literature.<br><br>1.4 &nbsp; Significance of the study<br><br>In view of the several severe adverse weather conditions experienced in recent times in the world over, and the numerous embarrassments experienced by the members of the public as a result of inaccurate prediction of future weather conditions, it is pertinent to take a look at the forecasting problems experienced by forecasters, which hinder accurate weather predictions.<br><br>Also, there is need to take a critical look at the different methods of weather forecasting and to provide relevant applications of these weather warnings.<br><br>Finally, the recommendations provided in their research will help encourage every direct user of weather predictions to adhere strictly to the warnings so as to avert certain mishaps or bitter experiences associated with adverse weather conditions.<br></p>