Data Analysis

Exercise 6: Working with and analyzing archived local weather


The chart above shows average precipitation per month in the city of Madison. An increasing trend is found from February to August, before falling back down again. The months with the lowest precipitation are January and February, while the month with the most precipitation is August. 


The chart above shows average precipitation per month in the city of Milwaukee. An overall increasing trend is found from February to July, but this trend is interrupted by increased data spikes in March and April and decreased data spikes in October. The month with the lowest precipitation is February, while the month with the most precipitation is April. 


The chart above shows average temperature per month in the city of Madison. An overall increasing trend is found from January to July before decreasing back again for winter. This trend is similar to the Milwaukee temperature trend except the Madison temperatures seem to reach higher levels earlier in the year. The month with the lowest temperature is January, while the month with the highest temperature is July. 


The chart above shows average temperature per month in the city of Milwaukee. An overall increasing trend is found from January to July before decreasing back again for winter. This trend is similar to the Madison temperature trend except the Milwaukee temperatures seem to reach higher levels later than Madison. The month with the lowest temperature is January, while the month with the highest temperature is July. 


Daily climate report
Minneapolis
Precipitation 2.04 in
Snowfall 7.0 in
Eau Claire
Precipitation 2.67 in
Snowfall 9.1 inch

These two pieces of data are similar because they are most likely caused by the same series of storms that pass from the Twin Cities to the east over Eau Claire, considering how similar the latitudes are between locations. They differ because Eau Claire seems to get more precipitation than the Twin Cities, which  may mean that the storms don't fully develop until they cross the Mississippi River, or they may actually pick up more moisture from the Mississippi.  

Information from the WorldClimate website could be problematic considering it contains averages starting only in 1961. In the previous portions of this exercise, we discovered that there was a change in trend in the 1960's when the overall trend changed from decreasing temperature to increasing temperature. Since this data dates back to only 1960, we don't see the trend that exists beforehand. 

Climographs








It is extremely useful to use multiple locations when comparing climate data, since differences in temperature and precipitation can vary heavily in nearby areas. As shown in the climographs above, the temperature trend is similar in each location while the precipitation trend is completely unique in each city. Some variables that could influence these changes are geographic features, such as changes in elevation and water features such as rivers and lakes. Eau Claire is a unique location because of both the Chippewa River and massive changes in elevation, which can definitely affect temperatures and humidity in the area. 

Part II Archived Weather Data














After examining the graphs above, a few trends in the data begin to appear. The first pattern that I recognized is how the precipitation occurrences related to the temperature patterns. April had the most precipitation and the most consistent temperatures. As soon as I noticed this, I observed the other months and it seems that the more consistent the temperatures are, the more precipitation will occur. Whenever a month was filled with large fluctuations in temperature, the rain wouldn't arrive until the temperatures steadied out. When looking at the wind patterns, it is pretty evenly split between ESE and W/WNW. When winds came from the ESE, it probably meant that a low pressure system to the northwest was causing unstable weather, which would explain the dominant ESE winds and high precipitation in April. 





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