Geog. 143 -- Global Environmental Change

Exercise 2:  Recent Climate Trends

This exercise involves examining some of the recent trends in climate as illustrated by maps and time-series plots from several web pages, focusing mainly on the monthly and annual reviews of climate done by the National Climatic Data Center (NCDC).  Much of the work that goes on in understanding global change involves the preparation and subsequent analysis of the kinds of graphical displays that will be examined here.  Sometimes dismissed as superficial "wiggle matching," the examination of visualization of data nevertheless provides the "first-order" description of how climate is changing.

In examining the maps and plots that will be looked at here, it will be useful to get into a routine of figuratively (sorry...) deconstructing them--inferring how they were made in order to understand what they are showing.  In looking at a time-series plot, such as that for global temperature, the key tasks are:

  • determining what the "frame" is--what the horizontal or x-axis is displaying (not surprisingly, it's time in the case of time-series plots, but it's important to figure out whether it's months, years, days, etc.), what is plotted on the vertical or y-axis (usually some response, or the variable of interest, e.g. temperature)
  • determining what the data are that are being plotted, and how those data may have been treated:  Are the raw or original data values being plotted, or have they been transformed in some way?  Are individual values being plotted, or some kind of summary or smoothed version of the data?  Are the values assumed to be known without error or uncertainty, or is this assumption not made?  What is the frequency in time at which the data are plotted? Etc.

In the case of maps, the key tasks are roughly the same, only instead of the x- and y-axis frame, the "window" or regional extent of a map (e.g. globe? Pacific Northwest?), and whether the data are projected or not is an important considerations.  Similarly, how the data are plotted (on a grid vs. at individual points), and how they are displayed (as points, contours, or as levels) are the key things to note.

Begin by opening the "Global Analysis" section "Climate of 2007 -- Annual Report" web page by clicking on the following link.  (The page will open in a new browser or window):

http://lwf.ncdc.noaa.gov/oa/climate/research/2007/ann/global.html

Answer each of the following questions (e.g. Q1, Q2, etc.) with a short sentence.  It will be handy to open the images or links on the individual pages in new browser windows or new tabs as you go.

1.  Global temperature trends

Examine the image showing global mean temperature over land and ocean that appears at the top of the page.  (Click on the "larger image" link, or right-click and open in a new tab (Firefox or IE 7).  Recall that "anomalies" are differences between some observed values and a long-term mean of those values.

Q1:  Describe the plotting frame, and how the data are being plotted.  Are individual values plotted, or smoothed or generalized values, or both?  Are uncertainties in the data values being explicitly shown, and if so, how?  What is the basic "take-away" message of the plot?

(It might be helpful in answering this question to look at the ways in which global temperature has been summarized by other laboratories, e.g.:

The underlying observations are basically the same, but the data have been treated and plotted in slightly different ways.)

2.  Comparison of trends

Back on the NCDC page, scroll down to the plots of

  • Global In Situ Temperature Anomalies and Trends; Surface and Mid-Tropopheric (Temperature), also labeled "RATPAC Upper Air and Surface plot"  and
  • Annual Lower Stratospheric Temperature Anomalies

In interpreting these plots, it will be helpful to look at the "longwave" or right-hand side of Fig. 1.2 in the IPCC WG1 (2001) chapter on the climate system.  Note that the two plots have different axes.

Q2:  Describe what is being plotted as above as will as the overall trends in temperature in the upper atmosphere (stratosphere) and lower atmosphere (surface and mid troposphere).  Note the big "spike" in stratospheric temperature anomalies in 1991 and 1992 (and see the accompanying text for its explanation), and describe what the surface (plotted in black) and mid-tropospheric (plotted in red) records show at the same time.  Is this relationship consistent throughout the records, and is it consistent with the overall trends, or not?

(You might want to close a few browser windows or tabs at this point.  If you accidentally close the "Climate of 2007 -- Annual Report" you can always reopen it using the link above.

3.  Comparison of anomaly (map) patterns and time series

Locate and open the larger-size versions of the following

  • Jan-Dec Global Mean Temperature over Land & Ocean (time series)
  • Jan-Dec 2007 Temperature Anomalies (map--Land & Ocean)
  • Annual Global Precipitation Anomalies (time series)
  • Jan-Dec 2007 Precipitation Anomalies (map)

Q3:  Contrast a) the temporal variability and b) the spatial variability of temperature and precipitation.  Which "variable" (or attribute that describes global climate--temperature or precipitation in this case) varies more over time or space, and is there a physical mechanism that should make that so?  (Think about about the main controls of temperature and precipitation, and what their temporal and spatial variability are like). 

4.  Temporal changes in western U.S. wildfire data

Next, take a look at the summarization of wildfire incidence (number of fires) and area burned for the western United States.  Here are direct links to the end-of-the-fire-season part of the page, and to the appropriate figure:

http://lwf.ncdc.noaa.gov/oa/climate/research/2007/fire07.html 
http://lwf.ncdc.noaa.gov/img/climate/research/2007/dec/us-wildfires-1960to2007-pg.gif

Q4:  How have the number, area burned, and character (say, the average size of a fire) changed over the past 45 years in the western U.S.?  (Hint:  average fire size isn't shown the figures, but can be easily estimated.  You don't have to be precise--"ballpark" estimates are ok.)

It might be useful to look at the long-term trends of temperature and precipitation around the country in interpreting the data here.  Such a map can be found at:

http://www.cpc.ncep.noaa.gov/anltrend.gif

and an explanation of how such maps are created is at:

http://www.cpc.ncep.noaa.gov/trend_text.shtml#limits