Design and Implementation of Weather Forecasting Package for Aviation Industry.
ABSTRACT
Design and implementation of weather foresting package for aviation industry is discussed in this research work using Sam Mbakwe Airport, Owerri – Imo State as a case study. With its objectives research work as follows: To help aviation meteorologists issue accurate weather forecast.
To enable aviation industry to make decision on control based on information given etc. This research work reviews the background and general idea of weather forecasting which motivated me to go into the research work and problem faced by aviation industry.
Inaccuracy issue of weather forecast the use of manual methods in weather forecast and also in storing or keeping records and its analysis. Some of the methods used in forecasting are as follows: Persistence method, synoptic forecasting, statistical method, synoptic forecasting, statistical method, all narrowing or suggesting better ways of weather forecasting.
TABLE OF CONTENTS
Title Page i
Declaration Page ii
Certification Page iii
Approval Page iv
Dedication v
Acknowledgement vi
Abstract vii
Table of Contents vi
CHAPTER ONE
1.0 Introduction 1
1.1 Background of the Study 1
1.2 Objectives of the Study 4
1.3 Statement of the Problem 5
1.4 Scope of the Study 5
1.5 Significant of the Study 6
1.6 Limitations of the Study 7
1.7 Definition of Terms 7
CHAPTER TWO
2.0 Literature Review 9
2.1 History of Aviation 9
2.2 Definitions of Weather Forecasting 12
2.2.1 Method of Weather Forecasting 13
2.3 Meteorological Data 17
2.3.1 Coverage, Scope, Users and Uses of Metrological Statistics 19
Sources and Methods of Compiling Metrological Statistics 22
2.4 Current Methods of Data Storage Dissemination 24
2.5 Weather Elements 24
2.5.1 Impacts of Weather Elements on Aviation Operation 27
2.6 Meteorological Elements that aid Weather Forecasting 31
2.7 Importance of the Package 32
CHAPTER THREE
3.0 System Analysis 33
3.1 System Methodology 33
CHAPTER FOUR
System Design and Implementation
4.0 System Design 45
4.1 System Goals 46
4.2 Choice of Programming Language 47
4.3 Program Design 47
CHAPTER FIVE
5.0 Implementation Method 49
CHAPTER SIX Summary, Conclusion and Recommendation
6.0 Summary 51
6.1 Conclusion 51
6.2 Recommendations 52
References 53
INTRODUCTION
Every day, millions of weather – based economic decisions are made in transportation, agriculture, power, construction, and other sectors of the economy. Weather conditions affect the entire economy in many ways both directly and indirectly, Better weather forests bring economic opportunities to almost every sector of the economy.
Weather forecasts re critical to the commercial and private transportation sector, including airline, shipping and trucking industries, nationally and internationally. Airlines, for example rely on short term forecasts to best position their aircraft and adjust flight routes.
REFERENCES
BBC Georgraphy Weather and Climate. Bitesize revision: http://www.bbc.co.uk/schools/gcsebitesize/geography/weather/index.shmtl
Clapp, F. (1996). Weather. McGraw-Hill Encyclopedia of science and technology. 19 (tow – zyut) 8th Edition. pg 455. Science Encyclopedia. (1997). Revised Edition, vol 5
Gaffen,J. (2008,March). Radiosonde Observations and their use in SPARC-Related investigations. http:www.aerojusseiu.fr/~sparc/News12/Radiosondes.html. Elements of weather. http://www.scalloway.org.uk/adobe/1weat.pdf.
Federal Ministry of Transportation, Air. http:www.fmt.gov.ng.
Kulesa,J. Pace, J. Fellner, L., Sheets, E., Travers, S., and Kirchoffer, J. (1997). Improving Aviation Weather forecast: The Federal Aviation Administrative’s to enhance Air safety and efficiency. Federal Aviation’s Administration, Washington D.C. http://ams.confex.com/ams/pdfpapers/69571.pdf.
Glossary of meteorological terms. http://www.mw- weathernet.com/wx_ terms.htm# A http://ww2010.atmos.uiuc.edu/(GH)/guides/mtr/fcst/sfc/dfrnt.rxml
Willson, J. (2007, April). Skywatch Signs of the Weather. http://www.wilstar.com/skywatch.hym# clouds.
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