On the first page of your submission write in BOLD your student ID and the latitude and longitude of the grid assigned to you. Where about in Canada or Alaska your grid is located? Write it down in BOLD.
2- Download the data matrix and select the row which includes the data of your grid. Columns 4 onward includes the daily mean temperature (in degree Celsius data) from 1975-01-01 to 2016-12-31.
3- Using the daily temperature data, extract mean monthly temperature, extreme minimum monthly temperature (the daily temperature in the coldest day of the month), and extreme maximum monthly temperature (the daily temperature of the hottest day of the month). What is the coldest and hottest temperature values in the whole data period and the days they occurred (10%)?
4- Plot the timeseries for the three variables you extracted in part 3. Give appropriate title and label to each figure (10%).
5- Divide each of the timeseries into 12 separate series related to each Julian month (all Januaries together, all Februaries together and so on). Create a table that includes the statistical information (min, mean, median, mode, max, std) of the data in each Julian month (40%).
6- Fit a line to each monthly timeseries. Plot the data along with the fitted line. Based on the slope of the line, decide whether the data in each month show an increasing or decreasing trend, or have no change in time. Based on your analyses, discuss how the climate is changing in the location you are studying (40%).
7- Summarize the code and calculation procedure you designed through an effective, accurate and concise flowchart (10% bonous).
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