From our climate panel in Grand Junction on August 4:
Our Forest, Our Water, Our Land: Local Impacts on Climate Change. Sponsored by Conservation Colorado, Mesa County Library, Math & Science Center
An Introduction to Climate Change - Grand Junction
1. An Introduction to Climate Change
Gerald C. Nelson
Professor Emeritus, University of Illinois, Urbana-Champaign
Presentation at Mesa County Library, August 4, 2014
2. What is climate change?
• Climate – average weather over an extended period, say 30 years
• Climate change – changes in those averages
• What weather variables? Some examples
• Temperature – daily average, minimum, maximum
• Rainfall
• Heating degree days
• Etc.
5. Summary of Climate Change in Grand
Junction since 1899
• It’s been getting hotter in the summer
• Maximum August temp increasing from 88°F to 90°F on average
• More days in August over 90°F (17°F in 1899 to 21°F in 2013)
• It’s been getting less cold at night in the winter
• December minimums have been increasing
• Summer rains have been declining
• August rainfall down (1.16 inches in 1899 to 0.8 inches in 2013)
• Note: All values are averages with lots of variation
6. Global Average
Temperature Change,
1850-2012
Source: IPCC.
http://www.climatechange2013.org/images/figures/WGI_AR5_
FigSPM-1.jpg
8. What causes warming/cooling?
• Start with sunlight falling on the earth
• Add greenhouse gasses to the atmosphere to get warming
• Add clouds that reflect sunlight to get cooling
• Add dust particles that can either reflect or absorb sunlight to get
warming or cooling
9. What are the most important greenhouse gasses?
Gas Sources Global warming potential
relative to carbon dioxide
Water vapor Evaporation from water bodies GWP of water vapor is not
calculated because there
is no way to directly influence
its concentration (see Scheevel
presentation)
Carbon dioxide Volcanoes, burning of organic material and
fossil fuels
1
Methane Rice paddies, ruminant digestion, natural gas
leaks
34 (over 100 years)
Nitrous oxide Fertilizer use, decomposition of manure,
industrial processes, transportation
298 (over 100 years)
10. CO2 at Mauna Loa Observatory has been
rising steadily …
http://www.esrl.noaa.gov/gmd/ccgg/trends/
The first time in
at least 1 million
years.
11. Other greenhouse gas emissions have also been
rising
Page 11
From
‘agri-culture’
12. Scenarios of Annual CO2 Emissions to 2100
and modeled effects on temperature
Note: range of
temperature
increases by 2100
Source: Calculations based on data downloaded from http://www.ncdc.noaa.gov/cdo-web/.
Equation of linear regression is 882.12 + 0.2233x, where x is the year number, with 1990= 0.
This means that if 1900 had been an average year, the average August evening high would have had been 88.2F.
Every year, the average August evening high increases by 0.02233F so that by 2013, the average August evening high would have increased by 2.5.
Observed averaged combine land and ocean surface temperature anomaly, 1850-2012. Source: IPCC. http://www.climatechange2013.org/images/figures/WGI_AR5_FigSPM-1.jpg
Figure SPM.1 | (a) Observed global mean combined land and ocean surface temperature anomalies, from 1850 to 2012 from three data sets. Top panel:
annual mean values. Bottom panel: decadal mean values including the estimate of uncertainty for one dataset (black). Anomalies are relative to the mean
of 1961−1990. (b) Map of the observed surface temperature change from 1901 to 2012 derived from temperature trends determined by linear regression
from one dataset (orange line in panel a). Trends have been calculated where data availability permits a robust estimate (i.e., only for grid boxes with
greater than 70% complete records and more than 20% data availability in the first and last 10% of the time period). Other areas are white. Grid boxes
where the trend is significant at the 10% level are indicated by a + sign. For a listing of the datasets and further technical details see the Technical Summary
Supplementary Material. {Figures 2.19–2.21; Figure TS.2}
Figure SPM.1 | (a) Observed global mean combined land and ocean surface temperature anomalies, from 1850 to 2012 from three data sets. Top panel:
annual mean values. Bottom panel: decadal mean values including the estimate of uncertainty for one dataset (black). Anomalies are relative to the mean
of 1961−1990. (b) Map of the observed surface temperature change from 1901 to 2012 derived from temperature trends determined by linear regression
from one dataset (orange line in panel a). Trends have been calculated where data availability permits a robust estimate (i.e., only for grid boxes with
greater than 70% complete records and more than 20% data availability in the first and last 10% of the time period). Other areas are white. Grid boxes
where the trend is significant at the 10% level are indicated by a + sign. For a listing of the datasets and further technical details see the Technical Summary
Supplementary Material. {Figures 2.19–2.21; Figure TS.2}
Reached 400 ppm, the first time in 8 million years.
Butler, James H., and Stephen A. Montzka. The NOAA Annual Greenhouse Gas Index. Boulder: National Oceanic & Atmospheric Administration Earth System Research Laboratory, updated 2014. http://www.esrl.noaa.gov/gmd/aggi/aggi.html.
Sources: Le Quéré, Peters, Canadell 2013; Le Quéré et al. 2013; Boden et al. 2010; Tirpak and Vellinga 1990; Legget et al. 1992; Nakicenovic and Swart 2000; and D. P. van Vuuren et al. 2011.