Do Warmer Seas Make Stronger Hurricanes?
|Areas of Science||
|Time Required||Average (6-10 days)|
|Prerequisites||Familiarity with computers and web browser is helpful for this project.|
|Material Availability||Readily available|
|Cost||Very Low (under $20)|
AbstractWe've all heard that hurricanes draw their immense power from warm ocean waters. Of course, many factors contribute to the formation and growth of a hurricane, but can we expect to find that the warmer the water, the stronger the hurricane will be? This project shows you how to use online data archives to investigate this question.
The goal of this project is to test the hypothesis that warmer seas make stronger hurricanes. You will collect historical data on hurricane strength and sea surface temperature to see if these two variables are correlated.
- Background references on hurricane formation selected from the an NSDL/NSTA web seminar on hurricanes:
Van Gundy, S. and R. Payo, 2006. "NSDL/NSTA Web Seminars: Hurricanes," National Science Digital Library/National Science Teacher's Association. Retrieved May 17, 2006 from http://ia.usu.edu/viewproject.php?project=ia:2582.
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Last edit date: 2020-06-23
In this project you will use your web browser to collect data on hurricane strength and sea surface temperature. The goal is to see if there is a consistent relationship between water temperature and hurricane strength. Each hurricane will be one data point on your graph, so you will need to collect data from many, many hurricanes to make a reliable graph.
In this project you will be analyzing two kinds of archived data:
- hurricane track data, and
- meteorological data from monitoring buoys.
The Experimental Procedure section has instructions on how to access the archived data. The hurricane track data will show you the location of the storm (best-track analysis, with positions given every six hours), and two measures of the hurricane strength: central pressure and wind speed. The meteorological data you will be using for this project is the sea surface temperature, recorded hourly from monitoring buoys. Note that the monitoring buoys also collect other interesting information (wind speed and direction, barometric pressure, and wave height information) which you may also wish to analyze (see the Variations section below for some ideas to get you started).
A typical hurricane lasts for many days, and its strength usually fluctuates during its lifetime. You have to start somewhere, though, so the method you will use is to look for the peak intensity of the hurricane, and take all of the measurements there.
Before you start collecting data, you should do background research on how hurricanes form and grow. The next two sections will help you get started with your background research.
Terms and Concepts
To do this project, you should do research that enables you to understand the following terms and concepts:
- Air pressure
- Air density
- Hadley cells
- Saffir-Simpson scale for hurricane strength
- How do hurricanes form?
- In what part of the hurricane is the air pressure lowest?
- Why are warm water temperatures important for hurricane formation?
- There are many websites where you can find background information on hurricanes. You'll want to learn about how hurricanes form, which means learning about global wind patterns, and areas of high and low air pressure, among other things. The following web sites are good places to start:
- DAS, 1999. Hurricanes: Online Meteorology Guide, Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign. Retrieved May 17, 2006.
- Keiner, L. and C. Gilman, date unknown. Physical Oceanography Animations: Hadley Cells and Global Atmospheric Circulation, Department of Marine Science, Coastal Carolina University. Retrieved May 17, 2006.
- UCAR, 2001. Pressure: Surface Highs and Lows, University Corporation for Atmospheric Research. Retrieved May 17, 2006.
- Test your knowledge of hurricane formation with this interactive applet (requires Java). You can drag a hurricane around to areas with different water temperature and see what happens to it!
Whittaker, T. and S. Ackerman, 2005. Hurricane Applet, Weatherwise, University of Wisconsin. Retrieved May 17, 2006.
- This is one of many online sources of historical hurricane data. We chose this website because the track maps include index information at selected data points so that you can easily correlate position and date (the one drawback is that the background color of the maps is black):
Unisys (n.d.). Search Hurricane Data, Unisys Weather. Retrieved December 10, 2018.
- The National Data Buoy Center has current and historical meteorological data from a network of continuous monitoring buoys:
NDBC, 2006. National Data Buoy Center, NDBC, National Oceanic and Atmospheric Administration. Retrieved May 17, 2006.
- For calculating distances on your hurricane track map, try this longitude and latitude distance calculator:
CSGNetwork.com, 2006. Length of a Degree of Latitude and Longitude, CSGNetwork.com. Retrieved May 17, 2006.
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Materials and Equipment
To do this experiment you will need the following materials and equipment:
- Computer with Internet access and printer.
- Do your background research so that you are knowledgeable about the terms, concepts, and questions.
- The procedure will show you how to look up information for a single hurricane. You will need to repeat the data collection for many more hurricanes in order to test the hypothesis. You should collect data for no less than 40 hurricanes (even more is better). Not every storm will have a data buoy nearby. To see how close the buoy is, you can use an online calculator to convert degrees of latitude and longitude to other distance scales (CSGNetwork.com, 2004). If reliable sea surface temperature data is not available for a particular storm, don't use it in your data set.
Accessing Archived Hurricane Data
- The Unisys weather website is a good source for historical hurricane data. Your goal is to use the Search Hurricane Data page to gather data about various storms. You can obtain the data in both map and tabular formats. You will then use the data in the next section to look up buoy information for the same storms. Note that the interface for the page may change, but you should be able to find the information described below.
- On the Search Hurricane Data page, you can search for hurricanes by name, ocean, year, and category. Experiment with the controls to sort and display the results in various ways. Note that when viewing results in table format, you can sort data by clicking on the column headers. (For example, you can sort to view hurricanes by ocean or by date.)
- If you do not already have a list of hurricanes to research, you may want to first search by ocean. For this project, we recommend focusing on the Atlantic ocean, since there are a lot of data buoys (explained in next section) in the Gulf of Mexico and along the eastern seaboard of the United States.
- Clicking on an individual storm will bring up additional details about that storm. The information provided may include a map of the storm's progress, with numbered points that correspond to the dates, and a table of tracking information with the date/time, latitude, longitude, wind speed, pressure, and status on the Saffir-Simpson scale. Here is an explanation of the data columns you may see in the table:
- ADV: this number is a count of the 6-hour intervals at which the measurements were recorded.
- Time: date and time of the measurements, in the format "mm/dd/hhZ". The "Z" stands for "Zulu," which is one of many ways to refer to Coordinated Universal Time or UTC (also known as Greenwich Mean Time, or GMT). The hours are in 24-hour format, so "00" means midnight.
- Latitude: latitude of the hurricane center.
- Longitude: longitude of the hurricane center (negative numbers correspond to degrees west of 0°).
- Wind: wind speed in knots (nautical miles per hour; 1 nautical mile equals 1.15 miles).
- Pressure: air pressure at hurricane center, in millibars (mb).
- Status: status of the storm on Saffir-Simpson scale.
- Copy the data from the tracking information table into a spreadsheet program like Microsoft Excel® or Google Sheets®. Add a column at the right for "sea surface temperature." (Note: the data is also available for download as a .dat file. Your spreadsheet program may be able to open or import this file.)
- Scan down the Wind and Pressure columns to find the entry where the hurricane was at its maximum strength. Highlight this row in your spreadsheet. Look up the latitude/longitude for that data point. Next you will try to find a data buoy near this location.
Accessing Archived Meteorological Data from Buoys
- The next step is to find the sea surface temperature at the location where the storm reached its peak. The National Oceanic and Atmospheric Administration (NOAA) maintains a network of moored buoys with sensors that continuously monitor ocean conditions. The data records, with hourly readings, are archived and available online at the National Data Buoy Center (NDBC, 2014). For this project, you will be accessing sea surface temperature data from the buoys. The monitoring buoys also collect other interesting information (wind speed and direction, barometric pressure, and wave height information) which you may also wish to analyze (see the Variations section, for some ideas to get you started). The following directions will help you locate buoys near the hurricane track and access their archived data. (Keep in mind that the interface of the website may change or may not match exactly the steps described here.)
- Go to National Data Buoy Center. You'll see a world map with colored markers representing buoys. You can use your mouse and the map controls to pan and zoom around the map or click the name of a region (e.g. "Caribbean Sea") to jump to that area.
- The legend identifies which buoys have recent and historical information. Not all of the buoys will have sea surface temperature information.
- Clicking the symbol for a buoy will bring up a pop-up box, from which you can access additional information about the buoy or historical data. You can also see the latitude and longitude of the buoy. Try to find the buoy closest to the location you found in the previous section (when the hurricane was at its maximum strength).
- If you click "View Details," you will find information about the data buoy, including the owner, the type of buoy, the instrumentation onboard ("payload") and the buoy's latitude and longitude. On this page, you will also find links to additional information you may find useful. "Description of Measurements" tells you what the measurements the data buoy takes and the units that the data are reported in. "Data Inventory" tells you what data is available for past time periods.
- If you click "View History," you will be able to access a list of years with "Standard meteorological data." Note: this data might not be available for all buoys. If you cannot find the year you need, you might need to pick a different buoy.
- Click on the year of interest. This will bring up a "Historical Data Download" page with instructions for two different methods for accessing data. Download the text file under "Method 2," and you can open it in a spreadsheet program.
- At last, here it is: a year's worth of hourly records! The screenshot below shows only the first 25 hours of data, to make a few points about what you'll find. The top line is a "header" identifying the data in each column. For detailed information on the data, click the "data descriptions" link next to "Historical data" on the buoy information page. In addition to the date and time information, you'll be using the "WTMP" column, which reports the water temperature in °C. The date information is in the first three columns. The time information is in 24-hour format, and like the hurricane tracking data, is in Coordinated Universal Time (UTC, columns four and five, highlighted in red). Any data field that is "9-filled" (e.g., the right-most columns in this example) is invalid. In this case, it means that the data buoy is not equipped to collect this information. In other cases, it can indicate that a sensor is not functioning properly.
Screenshot of a hurricane datasheet including: year, month, day, hours, minutes, wind direction and speed, water and air temperature, dewpoint, barometric pressure, visibility, and tide. The columns for hour and minute are highlighted red, water temperature is highlighted in blue, visibility and tide are highlighted in yellow.
- Scroll down and find the date and time of interest. Read the water temperature and copy the value to your spreadsheet of hurricane data. Make sure the dates and times match!
Graphing and Analyzing the Data
- Once you have collected the hurricane and sea surface temperature data, it's time to put it all together. Make two separate graphs of sea surface temperature (y-axis) vs. hurricane strength (x-axis). For one graph, use either wind speed or pressure as the measure of hurricane strength. For the other graph, use the Saffir-Simpson intensity (1–5) as the measure of hurricane strength.
- Do you find a consistent relationship between sea surface temperature and hurricane strength? Do both graphs show the relationship? Does the graph support the hypothesis that warmer ocean temperatures increase hurricane strength? Explain why or why not. [Note: it is important to remember that correlation between two variables does not imply causality. In other words, finding a correlation shows that there is a relationship between the variables, but does not show that warmer seas cause stronger hurricanes. Finding a correlation between two variables is often the first step in explaining a causal relationship, but correlation alone is not proof of a causal relationship.]
- More advanced students should perform a linear regression analysis to quantify the correlation between sea surface temperature and hurricane strength. See Variation 1.
- For your display board, you might want to display your data on a map. For example, you could print out a map of the ocean and use colored pushpins to mark the hurricane locatons with hurricane strength and sea surface temperature information.
Looking for more big data science projects? Explore the World of Big Data with Your Science Project!
If you like this project, you might enjoy exploring these related careers:
- More advanced students can do further analysis to examine the statistical significance of the correlation using the linear regression technique. For comparison, you might want to also look at the correlation between central pressure and wind speed (should be strongly correlated). See the Science Buddies project Which Team Batting Statistic Predicts Run Production Best? for an example of statistical correlation analysis using a spreadsheet program.
- The hurricane data in your table was collected every six hours, or four times in each 24-hour period. Does the peak intensity of each hurricane tend to occur at different times of day or at the same time of day? What does this tell you? The buoy data also includes air temperature. What is the correlation between hurricane strength and air temperature?
- In addition to water temperature, the data buoys also collect information on wave height, air pressure, wind direction, and wind speed. Many other projects are possible using this data. For example: how far away from the hurricane center is wave height affected? How does this vary with the strength of the storm (minimum pressure at the center)? How does the wind direction change as the hurricane passes through?
- One problem with the buoy data used in this project is that there are relatively few buoys. This means that the temperature data is often collected at a point distant from the hurricane. You may want to measure the distance More advanced students can use high-resolution satellite data for sea surface temperature measurement. The data set begins in 2002, and is available from https://oceancolor.gsfc.nasa.gov/. You will have to learn how to access the data from the instructions on the page.
- How does the amount of time a hurricane spends over warm water affect its strength? Do hurricanes with longer tracks over warm water grow stronger than hurricanes with shorter tracks over warm water?
Looking for more big data science projects? Explore the World of Big Data with Your Science Project!
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