MINI Project
1-On the first page of your submission write in BOLD the name of the station assigned to you.
2-Download the daily maximum, mean and minimum temperate related to your station for the period of 1977 to 20161 from Canadian Climate Data Accessibility Portal (CCDAP), available at https://www.concordia.ca/ginacody/building-civil-environmental- eng/research/water-security-climate-change-lab/data-applications/ccdap.html.
3-Using the daily temperature data, extract mean monthly temperature, extreme minimum monthly temperature (the coldest temperature of the month), and extreme maximum monthly temperature (the hottest temperature of the month). What is the coldest and hottest temperature of (10%).
4-Plot the timeseries for the three variables asked from you. 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 your city (40%).
7-Summarize the code and calculation procedure you designed through an effective, accurate and concise flowchart (10% bonous).
If your station does not include the desired period of 1977 to 2016, consider any other 40 years in which your station has data. If your station includes a large period with missing data, which makes the total continuous data less than less 20 years in total, please contact your instructor for a substitute station.
Guidelines
•The name of the station, for which you need to do the analyses is given to you. The three variables you are interested would be mean daily temperature, maximum daily temperature, and minimum daily temperature.
•To access to the climate data go to https://www.concordia.ca/ginacody/building-civil- environmental-eng/research/water-security-climate-change-lab/data- applications/ccdap.html and search for the name of your city. Follow the flow procedure in the webpage to select daily data and download all the data in one Excel file.
•To prepare the data for further analyses:
1.Open the Excel file in MATLAB through the import tool or through xlsread. If you want to use the import tool, click on the Import Data on MATLAB toolbar.
2.Select the downloaded Excel file and click on open
3.On the Import page, choose the Numerical Matrix and click on Import Selection:
4.Now the data is imported in you MATLAB workspace as a matrix with the same name as the downloaded Excel file. You can rename it to whatever name you want. This matrix has the same number of column as the Excel file as well and the corresponding columns are matching.
5.Convert the daily data to extract mean monthly temperature, extreme minimum monthly temperature, and extreme maximum monthly temperature. Mind the NaN values that represent missing data. They cannot replaced by ZERO at all. Consult with the MATLAB help for nanmean and nanstd to learn how to handle datasets with missing values
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