# Analyzing and Mapping Historic Weather Data

geo101c_labdatacollectioninstructions_mod06.docx

geo101c_labweathertablecollection_mod06.xlsx

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How to gather the data and create the graphs.
First, go to http://www.ncdc.noaa.gov/cag/time-series/us collect the data. Select parameter,
select Annual, select years, select state, select city or region. Click Plot.
Next, look for the Download buttons, click on the excel icon. This will give you a list,
which you can copy and paste into the excel spreadsheet. However, you will need to
delete the extra info in each cell, so that you only have the temp or precip value.
?
To calculate the average for each variable, highlight the 50 cells in each column.
In the upper right side, find AutoSum. Click on the arrow for a menu, select Average.
This will put the average at the bottom of the column.
Next, in a new column, type into the cell =(column number row number  average).
For example, in the diagram below, 1965 high temperature data starts in column C, row
7, and the average for the 50 years is 79. Thus, you would type into that cell, =(C7-79),
and hit enter. Now, using the small black square in the lower right corner of the cell,
click and drag down to the last row of data. This will copy the formula and adjust for the
cell change, giving you the difference from the 50 year average.
To graph this, highlight that column, then select the insert menu, click on line graph, and
select 2-D line.
This will put a graph on your screen, which you can move to a different part of the
spreadsheet. Do this for each of the 3 variables.
Lastly, in a Word document, write your analysis of what this data is telling you about the
changes in the past 50 years.
city name
Year
average
high
low
annual
annual
temperature(oF)
annual
from 50 year
temperature (oF) precipitation
precipitation
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
deviation
deviation
deviation
from 50 year
from 50 year
average high
average low
2011
2012
2013
2014
2015

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