Lab #6-1

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University of Nebraska, Omaha *

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1050

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Geography

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Dec 6, 2023

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docx

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5

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Name _______ N/A ________ Section # ____3_____ Introduction to Human-Environment Geography (GEOG 1050) Laboratory Lab #6: Climate Change Modeling Introduction There is scientific consensus among climatologists that the current changes to the Earth’s climate system are predominately caused by human activity. The generation of fossil-fuel-derived energy has greatly shaped global civilization and allowed for substantial advancement and prosperity. However, it has come at a price. The unintended biproduct of fossil-fuel-derived energy is the release of various carbon-based gases that alter the chemistry of the atmosphere. Increasing concentrations of these greenhouse gases in the atmosphere increases their effectiveness at absorbing and in-turn releasing thermal energy. The more greenhouse gases in the atmosphere, the more thermal energy that stays in the climate system, and the warmer conditions become. The purpose of this lab is to experiment with greenhouse gases and temperatures through a simple model. The objectives of this lab are to: 1) Examine evidence of the impact atmospheric carbon dioxide has on Earth’s global average temperature 2) Develop a physical connection linking carbon dioxide in the atmosphere and fossil-fuel-based emissions 3) Design and test a scenario of climate change Background Information/Further Reading Climatic Change Since the 1880s, the average global temperature of the planet has warmed by approximately 1.2 °C (about 2.5 °F). This warming has also led to a wide-array of other changes, such as the acidification, warming, and rising of global oceans, the decrease in the spatial extent and mass of snow, ice, and glaciers, and the increase in extreme precipitation and drought frequency. Such changes have impacts on nearly every aspect of society and the environment, though not all are negative at an individual level. For those interested, a very detailed report is available from the Intergovernmental Panel on Climate Change (IPCC): https://www.ipcc.ch/report/ar5/syr/ . Greenhouse Gases The predominant cause of current climatic change is due to human-input of greenhouse gases into the atmosphere. Gases such as carbon dioxide, methane, nitrous-oxide, and others are bi-products of combustion reactions which generate energy for human needs. These gases however, are exceedingly efficient at ‘trapping’ thermal energy (aka heat) from entirely escaping out to space. In moderation, greenhouse gases are very important to keeping the planet livable. Without them, the average temperature of the planet would be approximately -18°C, well-below the freezing point of water. However, with too high a concentration of greenhouse gases, excessive amounts of thermal energy (heat) are retained within the climate system, increasing the temperature. The most robust observations of carbon dioxide have occurred at the Mauna Loa Observatory in Hawaii, which has tracked the concentration in the atmosphere since the 1950s. Below, you’ll see the “Keeling Curve” or a monthly timeseries of CO 2 concentration. Note the increasing trend in the timeseries.
Data obtained from: Scripps CO2 Program ( https://scrippsco2.ucsd.edu/data/atmospheric_co2/ ) Perspectives of Change A variety of robust evidence strongly indicates that human activity is the cause of the planet’s current warming. While temperatures have fluctuated in the past, the rate at which it currently is increasing is unparalleled in the last 2000 years ( https://www.europeanscientist.com/en/environment/ongoing-extent- of-global-warming-is-unparalleled/ ). Keep in mind how human civilization has flourished during that window, and human populations were either minimal, or non-existent, during previous hot/cold periods in Earth’s geologic past. Climate Modeling While observations are necessary for documenting change, if we are curious about what the future might hold, models are needed. Because observations from the future just don’t exist yet, models allow for an educated evaluation of what the future might hold. In climate modeling, extensive mathematical and physics-based equations are used, which are based on the fundamental understanding of things like winds, ocean currents, nutrient cycles, physics, plant growth, thermodynamics, and others. There are so many different equations that are calculated and solved over and over again, that climate models often require supercomputers. In this lab, we will be using a very simple climate model, one that will easily run on your own [Flash player-enabled] computer, to evaluate the linkages between carbon dioxide and temperature. It is called the “VERY, VERY SIMPLE CLIMATE MODEL”. https://scied.ucar.edu/simple-climate-model Due to its simplistic nature, this model does not account for other greenhouse gases, cycling of carbon into other spheres such as the oceans or biosphere, changes of land use, and wind/precipitation patterns.
The model assumes, based on extensive evidence, that temperature rises approximately 3°C for each doubling of carbon dioxide concentration. Additionally, the starting values for the model are approximately equal to what they were in real life in the year 2000. If you’d care to explore, mathematically, the formula used by the model is: For reference, every 2.3 gigatons of carbon dioxide emissions should raise the atmospheric carbon dioxide concentration by approximately 1.0 part per million. Questions Part 1 – Background Work 1. Prior to doing anything else, it is important to actually think about what the model might show us. What is the model able to show? What is it not able to show? This model displays the connections between carbon dioxide emissions and temperature. Unfortunately, the model doesn’t show the cycling of carbon into other spheres (such as the oceans orbiosphere) and greenhouse gas emissions. 2. What, if any, are the uncertainties or limitations of using such a model? The uncertainties and limitations in this model are that it is not realistic, it doesn’t take into consideration the other processes explained in the question above. It is simple and subpar because it is focused on one or two of them. 3. Examining the model output graph (still without running an experiment), describe what the various axes are (x-axis and 3 y-axes). The horizontal axis, or x-axis, displays the years on the timeline. The y-axis displays the temperature (in red), GtC (in blue), CO 2 emissions per year in gigatons, and its concentration in parts per million (black). Part 2 – Trial Experiment 4. The default baseline emissions of CO2 are 10.5 GtC per year. According to the model, what would the Earth’s temperature be in 2100 if we released the same amount of carbon dioxide into the atmosphere each year as the baseline? 61.17 degrees F.
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5. What is the global concentration of CO 2 in 2100 from the experiment in #4? 571.87 ppm 6. Rerun the experiment (by clicking “start over”), but this time increase the sensitivity to 5°C. Are the results any different? What does the sensitivity variable do? Everything is the same, but the temperature increased to 63.03 degrees F. The sensitivity variable made it warmer for the same increase in emissions with a greater sensitivity. The relationship between atmospheric CO 2 concentration and temperature uses a well-established relationship; temperature rises about 3 C for each doubling of CO 2 concentration. Part 3 – Developing a Scenario 7. Do you think the experiment from part 1 is a realistic scenario of what people will actually do over the 21 st century in terms of emissions? Why or why not. Probably not; it assumes things stay constant over time, which is unlikely. 8. Think about how (and why) carbon emissions might change into the future. What all do you need to consider to predict how much carbon will be emitted? Population, energy, cost of alternatives, social and political pressure. 9. How do you think carbon emissions will change into the future? You’ll share a more detailed outline in question 10, but for now, generalize in a sentence or two. Carbon emissions might change into the future due to population growth and the development of new technology. 10. Fill out the top row of the provided table below with your carbon emission scenario. Then run the model using your develop scenario. Keep in mind, the amount of emissions can change at every time step, if you want them to. A 10-yr timestep is shown for ease of use.
2010 2020 2030 2040 2050 2060 2070 2080 2090 2100 CO 2 emissions 9.84 GtC 10.2 GtC 10.80 GtC 11.4 GtC 10.4 GtC 9.2 GtC 8.6 GtC 7 GtC 5.8 GtC 4.6 GtC Resulting temperature 14.45 C 14.76 C 14.99 C 15.23 C 15.27 C 15.43 C 15.52 C 15.44 C 15.36 C 15.23 C Resulting CO 2 concentratio n 389.8 5 (ppm) 409.6 0 (ppm) 431.9 8 (ppm) 456.6 9 (ppm) 471.3 8 (ppm) 478.8 3 (ppm) 488.3 0 (ppm) 479.8 (ppm ) 470.9 3 (ppm) 456.63 (ppm) 11. What happened to the climate in your developed scenario? Despite reducing carbon emissions, the temperature and resulting CO 2 concentration (ppm) kept rising until 2070. After which, temperatures and resulting CO 2 concentration (ppm) finally began to decrease. 12. Refresh the page and run an experiment where the emissions are zero moving forward. How does the climate change, both temperature and CO 2 concentration? Carbon emissions will reduce in the future. Consequently, temperature will rise a degree or two but then stabilize, the CO 2 concentration also rises about 50 ppm and then begins decreasing after it hits 400 ppm. 13. What are a few ways that you individually or society as a whole can change or do to lower emissions? There are many ways we can reduce emissions; make housing and electricity more efficient, switch to electricity to power transportation, use biofuels, and utilize carbon storage in soil and forests. We can also change the type of electricity we use to water, wind, and solar.