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Sample Research Paper on Hurricane and Tornado Prediction

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Sample Research Paper on Hurricane and Tornado Prediction

Introduction

A tornado is a briskly whirling air that originates from the thunderstorms found on the ground. Tornadoes are formed by thunderstorms and wind that changes its speed and height on the surface. A closer observation of how thunderstorms develop show clouds building up and the wind constantly changes its speed and height causing the air to rise above the ground (Spilsbury, L., & Spilsbury, R., 2009). A tornado is therefore created when the balance of air is right between the air rising and coming into the thunderstorm and the wind changing its height, tornadoes can last up to many minutes (Nate, 2013).  

On the other hand, a hurricane can be described as an organized thunderstorm that develops over the ocean. A collection of factors is known to lead to the formation of a hurricane; the warm ocean water coupled with weak upper winds and low pressure. “Here, the warm ocean water provides moisture to the hurricane, the weak upper winds splits the hurricane and the low pressure allows the thunderstorms to form” (David, 2006). The earth’s rotation allows thunderstorms to start developing into an organized circulation around a central point called the eye (Franklin and Brown, 2006).

The weather is constantly changing due to effects of climate change and as such, people can experience intense downpours and strong hurricane and tornado winds (Gyory et al, 2005).   It is essential that improved weather predictions be put in place to give communities information and time to prepare for dangerous hurricane storms to help save lives and damages to infrastructure. Scientists have discovered new radar technologies to help forecasters foresee extreme weather changes and to consider improvement of satellite technologies and models for predictions (Jane and Jack, 2012). With good and accurate predictions, people can effectively respond to weather warning to help in making them ready for any occurrence of the calamity.

Thesis statement

The thesis statement for this essay is why we have to predict a tornado or a hurricane. In other words, this essay seeks to answer the question: what are some of the reasons that warrant the predictions of the above environmental conditions? It is important to stay safe during a hurricane or a tornado; this can only be possible if we can actually know when they are likely to occur and that we prepare to take safety precautions. Drastic effects of the two conditions have been watched on news channels while some people have even experienced them first hand. The aftermath of such natural disasters has left most people in difficult situations when it comes to putting their lives back together not only due to the infrastructural damage and loss of lives but also due to psychological effects.

At times, it may be difficult to predict or control tornados and hurricanes but it is essential that necessary and adequate preparations be made for these disasters associated with thunderstorms. This paper will therefore highlight reasons why there is need to predict and prepare for the impacts of the two weather conditions. Those who are more likely to be affected by tornados and hurricanes are those that live along the coastal areas and so they have to be prepared adequately.

How to predict a hurricane and a tornado

Generally, it is difficult to predict a tornado or a hurricane. However, there are signs that can help with predicting the likelihood of these disasters occurring. First, strong and persistent rotations at the cloud base and whirling debris on the base of the cloud can provide an indication of a likely tornado or hurricane. Others scientists predict these events by hearing thunder sound that do not disappear after several seconds. Those who live along the coastal areas will also predict tornadoes or hurricanes by observing the ocean swelling and listening and observing waves that hit the shores after every nine seconds. Moreover, wind speeds that continue to pick and grow tremendously and always accompanied by driving rain that immediately gets worse is an indication of a hurricane or a tornado. However, these methods lack the much-needed accuracy. Therefore, there is a need to employ new technologies to aid in the prediction of such weather conditions with efficiency and accuracy.

Reasons for predicting a tornado and hurricane

The major reason for predicting a tornado and a hurricane is safety to prevent loss of lives and property. Predicting these disasters allows for taking of emergency measures such as food reserves, blankets and other emergency items that might be useful during such weather events (Robby and Westbrook, 2005). Predicting is also helpful in preparing disaster management plans like preparing evacuation routes and safe houses so that people will be aware of where to go during such events. Before a tornado or a hurricane occurs, it is helpful for people to be aware of how to secure their homes through reinforcing their windows to prevent water from entering and depending on the area inhabited by the people; one can plan for any eventuality using flood insurance cover.

Predicting tornado and hurricane is important when it comes to building of protective walls especially around residential areas and essential facilities such as hospitals. Walls will help in ensuring that the victims and properties are shielded from the wind. Such walls also protect windows from the ravaging storms and strong hurricane winds. Having a wall around properties allows individuals to choose safe places to shelter during such storm. Walls therefore not only save lives but also protect properties during such extreme weather conditions as they act as protective barriers (Somervill, 2012).

Prediction of the weather conditions is important even after the storm, as it will help people map out potential hazards. Thunderstorms have the potential of hipping debris and the streets may be filled with broken glasses and fallen power (Sood, 2008). Predicting will be essential as people will be adequately prepared for the aftermath of the storms because such information is always indicated during the time of prediction.

It is also helpful to maintain a sustainable emergency food and water ration for the victims in the aftermath of the extreme weather. Such rations are given out depending on the intensity of the storms, supplies, predicted restoration time and number of victims among other factors. Therefore, prediction will assist in planning to have adequate food and water. Data from prediction will also help in preparing a list of properties and essential infrastructure and facilities that are likely to be damaged and those that may need the services of an insurance agent for compensation. This will also aid in preparing temporary repairs of properties and such facilities and infrastructure to prevent further damage, looting to buildings and facilitate recovery from such disasters (National Geographic, 2016).

 

 

 

 

 

 

 

References

David L. J.  (2006). Service Assessment: Hurricane Katrina August 23–31, 2005 (Report). Silver

Spring, Maryland: National Oceanic and Atmospheric Administration.

Franklin, J. and Brown, D.  (2006). Hurricane Emily. National Hurricane Center Tropical

Cyclone Report (Report) (Miami, Florida: United States National Oceanic and Atmospheric Administration’s National Hurricane Center). 

Gyory, J., Arthur J. and Edward H. (2005). The Loop Current.

Jane L. and Jack H. (2012) Sustainability: New Technology Allows Better Extreme Weather

Forecasts.

Nate C. (2013). New Republic: Why Tornadoes Continue to Kill.

National Geographic. Hurricanes: Engines of Destruction.

Robby, J. and Westbrook J.  (2005). Georgia’s Record Tornado Outbreak (Report). National

Oceanic and Atmospheric Administration. National Weather Service Office in Peachtree City, Georgia. 

Somervill, B. A. (2012). Hurricanes. Ann Arbor, Mich: Cherry Lake Pub.

Sood, M. (2008). Hurricanes and tornadoes. New York: PowerKids Press.

Spilsbury, L., & Spilsbury, R. (2009). Hurricanes and tornadoes in action. New York, NY:

Rosen Central

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