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Early Retirement: Making Sense of Patterns in Historical Data of Retired Hurricanes.

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Title: Early Retirement: Making Sense of Patterns in Historical Data of Retired Hurricanes.
Authors: Roemmele, Christopher (AUTHOR) croemmele@wcupa.edu, Hilliker, Joby (AUTHOR) jhilliker@wcupa.edu, Clayton, Victoria (AUTHOR) vjc15911@gmail.com
Source: Science Teacher. May/Jun2024, Vol. 91 Issue 3, p60-67. 8p.
Subject Terms: Early retirement, Scientific literacy, Patternmaking, Natural disasters, Hurricanes, Climatology
Abstract: Long after a hurricane passes over and through any region or coastal area, the memories of it often linger. There may be visual reminders of the storm and the day lives may have been changed, or lost, forever. Hurricanes can be long-lived storms. They can also be structurally large, so their impact can cover enormous swaths of land and water, often with large populations in the way, particularly coastal areas. Hurricanes are the only officially named natural disasters, as well as the only hazards whose names can be retired. This unique characteristic provided us an opportunity to develop an activity that allows students to gain a greater understanding and appreciation into the: a) climatology of hurricanes, b) change over time with respect to naming and their frequency, and c) socio-scientific impact of the storms. In this activity students make sense of various data by analyzing, comparing and contrasting, and thinking critically about the various patterns that emerge, enhancing scientific literacy as well as gaining an appreciation for the phenomenon and the research around tropical systems. [ABSTRACT FROM AUTHOR]
Copyright of Science Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Early Retirement: Making Sense of Patterns in Historical Data of Retired Hurricanes.
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  Data: <searchLink fieldCode="AR" term="%22Roemmele%2C+Christopher%22">Roemmele, Christopher</searchLink> (AUTHOR)<i> croemmele@wcupa.edu</i><br /><searchLink fieldCode="AR" term="%22Hilliker%2C+Joby%22">Hilliker, Joby</searchLink> (AUTHOR)<i> jhilliker@wcupa.edu</i><br /><searchLink fieldCode="AR" term="%22Clayton%2C+Victoria%22">Clayton, Victoria</searchLink> (AUTHOR)<i> vjc15911@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Science+Teacher%22">Science Teacher</searchLink>. May/Jun2024, Vol. 91 Issue 3, p60-67. 8p.
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  Data: Long after a hurricane passes over and through any region or coastal area, the memories of it often linger. There may be visual reminders of the storm and the day lives may have been changed, or lost, forever. Hurricanes can be long-lived storms. They can also be structurally large, so their impact can cover enormous swaths of land and water, often with large populations in the way, particularly coastal areas. Hurricanes are the only officially named natural disasters, as well as the only hazards whose names can be retired. This unique characteristic provided us an opportunity to develop an activity that allows students to gain a greater understanding and appreciation into the: a) climatology of hurricanes, b) change over time with respect to naming and their frequency, and c) socio-scientific impact of the storms. In this activity students make sense of various data by analyzing, comparing and contrasting, and thinking critically about the various patterns that emerge, enhancing scientific literacy as well as gaining an appreciation for the phenomenon and the research around tropical systems. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00368555.2024.2337867
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        Text: English
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        Type: general
      – SubjectFull: Scientific literacy
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      – SubjectFull: Patternmaking
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      – SubjectFull: Natural disasters
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      – SubjectFull: Hurricanes
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      – SubjectFull: Climatology
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              Text: May/Jun2024
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