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APA
Subject:
Life Sciences
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Coursework
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Topic:

The Impacts of Climate Change on Weather

Coursework Instructions:

Part 1: Collecting Local Weather Data

 

For the first part of this week's lab, you will need to collect at least five consecutive days' worth of local weather data. Using measurements from your homemade weather instruments, complete the table below. For those instruments you did not build, use data from a weather website such as weather.com or wunderground.com. Collect your data once each day, keeping as close to the same time of day as possible. For sky conditions, note the approximate percent of the sky that is overcast, and identify the cloud types present if you can. Here is a simple web guide to cloud identification.

Weather Station Data

 



Date and Time



High Temp.



Wind Speed



Wind Direction



Air pressure (height of water column, in cm)



Precip. (inches)



Sky Conditions



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 


Weather Station Data


In a couple of well-crafted paragraphs, reflect on your results. What happened over the course of the week? What is the general story of the recent weather where you live? What patterns do you see in your data? For instance, one means of forecasting stormy weather is through monitoring changes in barometric pressure. What do you wonder about?


 


Part 2: Local Impacts of Global Climate Change


Imagine collecting more weather data—indeed, imagine gathering weather data for 2,190 times as long as you did. At that point, you would have 30 years' worth of weather measurements, and only then could a picture of your local climate emerge. Climate is defined as the weather conditions for a particular region, averaged over 30 years. To detect change in climate due to global warming, then, much more than 30 years' worth of weather data are necessary. Let's consider the past 60 years where you live. For this analysis, go to this web page: https://www.ncdc.noaa.gov/cag/county/time-series (Links to an external site.) and follow the steps below. (Note: In case of a government shutdown or other event that makes this site unavailable, contact your instructor for data sets.)


 



  1. Let's begin by comparing one month's high temperatures over 60 years. From the drop-down menus, choose Maximum Temperature for Parameter. Leave the Time Scale as 1- month. Choose a month you would like to compare—as long as you keep the month specification the same, which month you select does not matter. For Start Year, select 1958. End Year should be 2018. Select your State and County from the drop-down menus. Click on the rectangle labeled "Plot". A graph of the high temperature values for each year should appear. Take a screen shot of the graph to include with you report. (If you are not certain how to do this, check out this helpful resource (Links to an external site.).) What trend do you notice in the overall trajectory of the graph, as you go from left to right? Is it going up, going down, or staying relatively level?

  2. Next, compare the same month's low temperatures over the same time range. Leave all of your selections the same, except change Parameter to Minimum Temperature. What does the plot reveal this time? Are low temperatures for your chosen month generally rising, falling, or staying the same in your county? Again, be sure to take a screen shot of the graph.

  3. Finally, compare precipitation for the same month over the past 60 years. Leave all other selections the same except change Parameter to Precipitation. What does the plot show? Is precipitation rising where you live, dropping, or staying approximately the same? Be sure to take a screen shot of the graph for your report.


Part Three: Global Climate Change


Finally, view the animation at http://apod.nasa.gov/apod/ap130731.html (Links to an external site.). (Note: In case of a government shut down or other event that makes this site unavailable, contact your instructor for data sets.) Assess the differences from 1884 to 2011. What particular regions of the Earth have changed the most over that time, and how have they changed? Why might those regions be particularly sensitive to climate change? (This question may require some research in the text or using a credible online resource.)


Lab Report


For your lab report this week, submit an APA formatted paper, according to the CSU-Global Guide to Writing and APA Requirements (Links to an external site.) for all three parts of this lab. Include your screen shots of all three of the graphs that you viewed.

Words Characters Reading time 
Coursework Sample Content Preview:

Climate
Student’s Name:
Institution Affiliation
Weather Station Data
Date and Time

High Temp.

Speed of wind

Direction of the wind

Air pressure (height of water column, in cm)

Precip. (inches)

Sky Conditions

27th May
11 am

790F

14 mph

SSW

1023 mbar

0

67%

28th May
10 am

680 F

15 mph

SW

1020 mbar

0

59%

29th May
11 am

720 F

16mph

SW

1018 mbar

0

63%

30th May
3 pm

810 F

10 mph

NW

1023 mbar

0

70%

31st May
5 pm

690 F

12 mph

NW

1021 mbar

0

61%

1st June
9 am

540 F

15mph

NW

1020 mbar

0.02

32%

2nd June
6 pm

610 F

11 mph

SW

1021 mbar

0

54%

Daily high temperature typically ranges between 540 F and 810 F. 31st May was the warmest day while 1st June recorded the lowest temperature. The average wind speed ranges between 10 and 16 miles per hour over the course of the week. 1st June was the only day that rained with a rainfall of below one inch. The average barometric pressure in the region is 1021 mbar. The ability to predict a storm is enhanced by combining barometric pressure readings with wind speed. Steady fallings in barometric readings signify an approaching storm. There is no likelihood of a storm in this area.
Local Impacts of Global Climate Change
Maximum Temperature
The country's surface temperatures have been escalating for the last few decades, and the trend is the same for Suff...
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