SO503 Honors Modern Methods
Spring 2017
Lab 4: Wind and Storm Surge
Call function in external file to make a stick/tadpole plot.
Create a table, with formatted print statements (precursor to writing text files).
Calculate regression statistics.
There are two Matlab m files tadpole.m. and sticks.m. These must go into the same directory, and you cannot rename sticks.m Sticks.m was found with a quick google search.
Get the following data. You should insure that you get data in Local Standard time. You should also only use data for the last week in January 2016 (20-31), unless you want the additional complexity of having to come up with a time measure that spans two months.
Cape May New Jersey--they just saw their record storm surge
Offshore data, mouth of Delaware Bay: http://www.ndbc.noaa.gov/station_page.php?station=44009 You want the wind speed and direction, and the barometric pressure (there will be additional data which you can ignore). The standard meteorological data is collected every hour. The continuous data (which you will want for the next lab, and will work for this lab) is every 10 minutes, but only has wind data.
You can do any required manipulations of the data file you download in either Matlab or Excel , but the requirements listed below must be done in Matlab and your code must show how they were done. This data set is relatively short, but your program should be prepared to handle a much larger data set.
Due in the Blackboard dropbox, in a single Word Document. See the date on the syllabus. I will grade this and return it before the exam, since these Matlab skills are testable.
A stick diagram showing the winds for the period 20-31 January of 2016.
A graph showing the relationship between the tide residual (preliminary minus predicted) and the barometric pressure.
Compute the correlation coefficient between barometric pressure and wind speed.
Prepare a table showing the time, wind speed, and direction, for all those times when the wind exceeded 15 m/s, and the wind was blowing to the NW (between west and north). Design your Matlab code so that it would be easy to change this value if the wind speeds were much different, or you were interested in something else. If there are no readings above this speed, adjust the limit so that you have about a dozen readings.
Discussion of the following points, as a coherent written discussion:
What the correlation coefficient means in this case.
What other variables you have which you think would have a high correlation coefficient with the tide residual, and what you would have to do to compute the correlation coefficient for them.
What the sticks diagram tells you about the wind, and if this offers an improvement over what we did with the GPS data in Excel, Matlab, and the GIS program.
Acknowledgements of any assistance received.
An appendix with your Matlab code, with enough comments for someone to understand you (like you if you have to come back to this kind of problem next week or next fall).
A second appendix showing what manipulations you did with each data set before importing it into Matlab.
Annapolis data
Boston data