This chapter begins with an overview of current understanding of the role greenhouse gases (GHGs) play in the atmosphere and evidence for how they are already influencing the earth’s climate in both general and specific ways. The discussion includes a review of the climate change projections of global climate models and some of the evidence that has led recent national and international scientific assessments—including those of the Intergovernmental Panel on Climate Change (IPCC) (2007), the National Research Council (2001), and the Climate Change Science Program (CCSP) Synthesis and Assessment Report 1.1 (Karl et al. 2006)—to link the rise in temperature, particularly since the 1970s, to increases in GHGs. Next is a discussion of the projected climate changes for North America most relevant for U.S. transportation. For each climate variable, past projections and key uncertainties are also discussed. The chapter ends with a series of findings.
The natural “greenhouse” effect is real and is an essential component of the planet’s climatic processes. A small proportion (roughly 2 percent) of the atmosphere is, and long has been, composed of GHGs (water vapor, carbon dioxide, ozone, and methane). These gases effectively prevent part of the heat radiated by the earth’s surface from otherwise escaping to space. The response of the global system to this trapped heat is a climate that is warmer than it would be without the presence of these gases; in their
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2
Understanding Climate Change
T his chapter begins with an overview of current understanding of the
role greenhouse gases (GHGs) play in the atmosphere and evidence
for how they are already influencing the earth’s climate in both general
and specific ways. The discussion includes a review of the climate change
projections of global climate models and some of the evidence that has
led recent national and international scientific assessments—including
those of the Intergovernmental Panel on Climate Change (IPCC)
(2007), the National Research Council (2001), and the Climate Change
Science Program (CCSP) Synthesis and Assessment Report 1.1 (Karl et al.
2006)—to link the rise in temperature, particularly since the 1970s, to
increases in GHGs. Next is a discussion of the projected climate changes for
North America most relevant for U.S. transportation. For each climate
variable, past projections and key uncertainties are also discussed. The
chapter ends with a series of findings.
OVERVIEW OF GLOBAL CLIMATE CHANGE
The Greenhouse Effect and Atmospheric Composition
The natural “greenhouse” effect is real and is an essential component of the
planet’s climatic processes. A small proportion (roughly 2 percent) of the
atmosphere is, and long has been, composed of GHGs (water vapor, car-
bon dioxide, ozone, and methane). These gases effectively prevent part of
the heat radiated by the earth’s surface from otherwise escaping to space.
The response of the global system to this trapped heat is a climate that
is warmer than it would be without the presence of these gases; in their
36
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Understanding Climate Change 37
absence, the earth’s temperature would be too low to support life as we
know it. Among the GHGs, water vapor is by far the most dominant, but
other gases augment its effect through greater trapping of heat in certain
portions of the electromagnetic (light) spectrum.
In addition to the natural greenhouse effect outlined above, a change is
under way in the greenhouse radiation balance. Some GHGs are prolif-
erating in the atmosphere because of human activities and increasingly
trapping more heat. Direct atmospheric measurements made over the past
50 years have documented steady growth in the atmospheric abundance of
carbon dioxide (CO2). In addition to these direct, real-time measurements,
ice cores have revealed the atmospheric CO2 concentrations of the distant
past. Measurements using air bubbles trapped within layers of accumulat-
ing snow show that atmospheric CO2 has increased by nearly 35 percent
over the Industrial Era (since 1750), compared with its relatively constant
abundance over at least the preceding 10,000 years (see Figure 2-1). The
predominant causes of this increase in CO2 are the combustion of fossil
fuels and deforestation. Further, the abundance of methane has doubled
over the Industrial Era, although its increase has slowed during the past
decade for reasons not clearly understood. Other heat-trapping gases are
also increasing as a result of human activities. Scientists are unable to state
with certainty the rate at which these GHGs will continue to increase
because of uncertainties in future emissions, as well as in how these emis-
sions will be taken up by the atmosphere, land, and oceans. They are
certain, however, that once in the atmosphere, these gases have a relatively
long residence time, on the order of a century (IPCC 2001). This means
they become well mixed across the globe.
There is no doubt that the composition of the atmosphere is affected
by human activities. Today GHGs are the largest human influence on
atmospheric composition. The increase in GHG concentrations in the
atmosphere implies a positive radiative forcing (i.e., a tendency to warm
the climate system).
Increases in heat-trapping GHGs are projected to be amplified by feed-
back effects, such as changes in water vapor, snow cover, and sea ice. As
atmospheric concentrations of CO2 and other GHGs increase, the resulting
rise in surface temperature leads to less sea ice and snow cover, causing the
planet to absorb more of the sun’s energy rather than reflecting it back
to space, thereby raising temperatures even further. Present evidence
also suggests that as GHGs lead to rising temperatures, evaporation
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38 Potential Impacts of Climate Change on U.S. Transportation
FIGURE 2-1 Atmospheric concentrations of carbon dioxide, methane, and
nitrous oxide over the past 10,000 years (large panels) and since 1750 (inset
panels). Measurements are from a combination of ice cores (going back
10,000 years) and atmospheric samples in the 20th century. (Source: IPCC
2007, Figure SPM-1, p. 15. Reprinted with permission of the IPCC
Secretariat, Geneva, Switzerland.)
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Understanding Climate Change 39
increases, leading to more atmospheric water vapor (Soden et al. 2005;
Trenberth et al. 2005). Additional water vapor, the dominant GHG, acts as a
very important feedback to increase temperature further. The most uncer-
tain feedback is related to clouds, specifically changes in cloud frequency,
location, and height. The range of uncertainty spans from a significant pos-
itive feedback to no feedback, or even a slightly negative feedback. Present
understanding suggests that these feedback effects account for at least half
of the climate’s warming (IPCC 2001; Karl and Trenberth 2003). The exact
magnitude of these effects remains a significant source of uncertainty in
understanding the impact of increasing GHGs. Increases in evaporation
and water vapor affect global climate in other ways besides causing rising
temperatures, such as increasing rainfall and snowfall rates and accelerating
drying during droughts.
Particles suspended in the atmosphere (aerosols) resulting from human
activities can also affect climate. Aerosols vary considerably by region. Some
aerosol types (e.g., sulfate) act in a way opposite to the GHGs by reflecting
more solar radiation back to space than the heat they absorb, and thereby
causing a negative radiative forcing or cooling of the climate system. Other
aerosols (e.g., soot) act in the same way as GHGs and warm the climate. In
contrast to the long-lived nature of CO2, aerosols are short-lived and
removed from the lower atmosphere within a few days. Therefore, human-
generated aerosols exert a long-term forcing on climate only because their
emissions continue each day of the year. The effects of aerosols on climate
can be manifested directly by their ability to reflect and trap heat, but also
indirectly by changes in the lifetime of clouds and in the clouds’ reflectiv-
ity to sunshine. The magnitude of the negative forcing of the indirect
effects of aerosols is highly uncertain, but it may be larger than that of their
direct effects (IPCC 2001).
Emissions of GHGs and aerosols continue to alter the atmosphere by
influencing the planet’s natural energy flows (see Box 2-1), which can cause
changes in temperature and precipitation extremes, reductions in snow
cover and sea ice, changes in storm tracks, and increased intensity of hur-
ricanes (IPCC 2007). There are also natural factors that exert a forcing
effect on climate [e.g., changes in the sun’s energy output and short-lived
(a few years) aerosols in the stratosphere following episodic and explosive
volcanic eruptions]. If all the possible influences of natural and human cli-
mate forcings over the past several decades are considered, increases in
GHGs have had a larger influence on the planet’s radiation flow than all the
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40 Potential Impacts of Climate Change on U.S. Transportation
BOX 2-1
What Warms and Cools the Earth?
The sun is the earth’s main energy source. Its output appears nearly constant,
but small changes during an extended period of time can lead to climate
changes. In addition, slow changes in the earth’s orbit affect how the sun’s
energy is distributed across the earth, creating another variable that must be
considered.
Greenhouse gases warm the earth:
Water vapor (H2O), supplied from oceans and the natural biosphere,
accounts for two-thirds of the total greenhouse effect but acts primarily as
a feedback. In contrast to other greenhouse gases, the amount of water
vapor in the atmosphere generally cannot be controlled by humans. Water
vapor introduced directly into the atmosphere from agricultural or other
activities does not remain there very long and is overwhelmed by natural
sources; thus it has little warming effect.
Carbon dioxide (CO2) has natural and human sources. CO2 levels are
increasing as a result of the burning of fossil fuels.
Methane (CH4) has both human and natural sources and has risen signif-
icantly since preindustrial times as the result of an increase in several
human activities, including raising of livestock; growing of rice; use of
landfills; and extraction, handling, and transport of natural gas.
Ozone (O3) has natural sources, especially in the stratosphere, where
changes caused by ozone-depleting chemicals have been important;
ozone also is produced in the troposphere (the lower part of the atmo-
sphere) when hydrocarbons and nitrogen oxide pollutants react.
Nitrous oxide (N2O) has been increasing from agricultural and industrial
sources.
Halocarbons continue to be used as substitutes for chlorofluorocarbons
(CFCs) as refrigerant fluids, and CFCs from pre–Montreal Protocol usage as
refrigerants and as aerosol-package propellants remain in the atmosphere.
Scientists have a high level of understanding of the human contributions
to climate forcing by carbon dioxide, methane, nitrous oxide, and CFCs and
a medium level of understanding of the human contributions to climate
forcing by ozone (Forster et al. 2007).
(continued)
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Understanding Climate Change 41
Some aerosols (airborne particles and droplets) warm the earth:
Black carbon particles, or “soot,” produced when fossil fuels or vegetation
is burned, generally have a warming effect by absorbing solar radiation.
Some aerosols cool the earth:
Sulfate (SO4) aerosols from burning of fossil fuels reflect sunlight back
to space.
Volcanic eruptions emit gaseous sulfur dioxide (SO2), which, once in the at-
mosphere, forms SO4 aerosols and ash. Both reflect sunlight back to space.
Scientists currently have a low level of understanding of the human contri-
butions to climate forcing by aerosols (Forster et al. 2007).
Changes in land cover, ice extent, and cloud cover can warm or cool the earth:
Deforestation produces land areas that reflect more sunlight back to space;
replacement of tundra by coniferous trees that create dark patches in the
snow cover may increase absorption of sunlight.
Sea ice reflects sunlight back to space; reduction in the extent of sea
ice allows more sunlight to be absorbed into the dark ocean, causing
warming.
Clouds reflect sunlight back to space but can also act like a greenhouse
gas by absorbing heat leaving the earth’s surface; the net effect depends
on how the cloud cover changes.
Source: Adapted from Staudt et al. 2006, p. 7.
other forcings, one that continues to grow disproportionately larger (IPCC
2007; Karl and Trenberth 2003).
Human activities also have a large-scale impact on the earth’s land sur-
face. Changes in land use due to urbanization and agricultural practices,
although not global, are often most pronounced where people live, work,
and grow food and are part of the human impact on climate. Land use
changes affect, for example, how much of the sun’s energy is absorbed or
reflected and how much precipitation evaporates back into the atmo-
sphere. Large-scale deforestation and desertification in Amazonia and the
Sahel, respectively, are two instances in which evidence suggests the likeli-
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42 Potential Impacts of Climate Change on U.S. Transportation
hood of a human influence on regional climate (Andreae et al. 2004;
Chagnon and Bras 2005). In general, city climates differ from those in sur-
rounding rural green areas, causing an “urban heat island” due to greater
heat retention of urban surfaces, such as concrete and asphalt, as well as the
waste generated from anthropogenic activities1 (Bornstein and Lin 2000;
Changnon et al. 1981; Jones et al. 1990; Karl et al. 1988; Landsberg 1983;
Peterson 2003).
What Is a Climate Model and Why Is It Useful?
Many of the scientific laws governing climate change and the processes
involved can be quantified and linked by mathematical equations. Fig-
ure 2-2 shows schematically the kinds of processes that can be included
in climate models. Among them are many earth system components,
such as atmospheric chemistry, ocean circulation, sea ice, land surface
hydrology, biogeochemistry,2 and atmospheric circulation. The physics of
many, though not all, of the processes governing climate change are well
understood and may be described by mathematical equations. Linking
these equations creates mathematical models of climate that may be run
on computers or supercomputers. Coupled climate models can include
mathematical equations describing physical, chemical, and biogeochem-
ical processes and are used because the climate system is composed of
different interacting components.
Coupled climate models are the preferred approach to climate modeling,
but they cannot at present include all details of the climate system. One rea-
son is that not all details of the climate system are understood, even though
the major governing processes are known well enough to allow models to
reproduce observed features, including trends, of global climate. Another
reason is the prohibitive complexity and run-time requirements of models
that might incorporate all known information about the climate system.
Decisions on how to build any given climate model include trade-offs among
the complexity of the model and the number of earth system components
included, the model’s horizontal and spatial resolution, and the number of
The global effects of these urban heat islands have been analyzed extensively and assessed to
1
ensure that they do not bias measurements of global temperature.
2 Biogeochemistry refers to the biological chemistry of the earth system, such as the uptake of
atmospheric carbon by land and ocean vegetation.
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Understanding Climate Change 43
FIGURE 2-2 Components of the climate system and their interactions, including
the human component. All these components must be modeled as a coupled
system that includes the oceans, atmosphere, land, cryosphere, and biosphere.
GCM = General Circulation Model. (Source: Karl and Trenberth 2003, Figure 3.
Reprinted from Science, Vol. 302, No. 5651, with permission.)
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44 Potential Impacts of Climate Change on U.S. Transportation
years of simulations the model can produce per day of computer time.
Consequently, there is a hierarchy of models of varying complexity, often
based on the degree to which approximations are required for each model or
component processes omitted.
Approximations in climate models represent aspects of the models that
require parameter choices and “tuning.” As a simple example, imagine rep-
resenting a single cumulus cloud in a global climate model. The cloud may
encompass only a few hundred meters in vertical and horizontal space—a
much finer resolution than can be run on today’s coupled atmosphere and
ocean climate models. As a result, if such clouds are to be incorporated into
the climate model, some approximations must be made regarding the
clouds’ statistical properties within, say, an area 100 or 1,000 times larger
than the cloud itself. This is referred to as model parameterization, and the
process of selecting the most appropriate parameters to best simulate
observed conditions is called model tuning. Similar methods are also
required in today’s state-of-the-science weather forecasting models.
An important difference between weather forecasting models and
climate models is that the former are initialized with a specific set of
observations representing today’s weather to predict the weather precisely
x days or hours into the future. By contrast, the initial conditions of climate
models are much less important. Also, climate models are not intended to
predict specific future weather events. Rather, they are used to simulate
many years of “weather” into the future with the intent of understand-
ing the change in the collection of weather events at some point in
the future compared with some point in the past (often the climate of
the past 30 years or so). Scientists are thus interested in properties of
climate, such as average rainfall and temperature and the degree of fluc-
tuation about that average. This comparison enables scientists to study the
output of climate model simulations to understand the effect of various
modifications of those aspects of the climate system that might cause the
climate to change. A key challenge in climate modeling is to isolate and
identify cause and effect. Doing so requires knowledge about the changes
and variations in the external forcings controlling climate and a compre-
hensive understanding of climate feedbacks (such as a change in the earth’s
reflectivity because of a change in the amount of sea ice or clouds) and nat-
ural climate variability. A related key challenge in climate modeling is the
representation of sub-grid-scale processes, such as in some storms, and
land-terrain effects.
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Understanding Climate Change 45
Model simulations of climate over specified periods can be verified
and validated against the observational record. Likewise, model parame-
terization schemes for particular processes of interest can be tested by
comparison with observations and with higher-resolution, smaller-scale
models. Models that describe climate variability and change well can be
used as a tool to increase understanding of the climate system. Once eval-
uated and validated, climate models can then be used for predictive
purposes. Given specific forcing scenarios, the models can provide viable
projections of future climate. In fact, climate models have become the pri-
mary means of projecting climate change, although ultimately, future
projections are likely to be determined through a variety of means, includ-
ing the observed rate of global climate change.
How Do We Know the Global Air Temperature Is Increasing?
A comprehensive analysis of changes in temperatures near the earth’s sur-
face and throughout much of the atmosphere is presented in the April 2006
CCSP Synthesis and Assessment Report 1.1 (Karl et al. 2006). This report
addresses the nagging issue of differences in the rate of warming between
measurements derived near the surface (typically 2 m above the surface)
and those taken from higher in the atmosphere (i.e., the lower troposphere,
or the atmosphere below roughly 12 km). The surface air temperatures are
derived from several different analysis teams, using various combinations
of ocean ships and buoys, land observations from weather reporting sta-
tions, and satellite data. Atmospheric data sets have been derived by using
satellites, weather balloons, and a combination of the two.
Considering all the latest satellite, balloon, and surface records, the
CCSP report concludes that there is no significant discrepancy between
the rates of global temperature change over the past several decades at the
surface compared with those higher in the atmosphere. The report does
acknowledge, however, that there are still uncertainties in the tropics,
related primarily to the data obtained from weather balloons. Many devel-
oping countries are struggling to launch weather balloons routinely and
process their measurements, and it is unclear whether scientists have been
able to adjust adequately for known biases and errors in the data.
Globally, data indicate that rates of temperature change have been
similar throughout the atmosphere since 1979, when satellite data were
first available, and that the rates of change have been slightly greater in the
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46 Potential Impacts of Climate Change on U.S. Transportation
troposphere than on the earth’s surface since 1958 (when weather balloons
first had adequate spatial coverage for global calculations). The global sur-
face temperature time series shown in Figure 2-3 indicates warming on
even longer time scales, with acceleration since 1976.
Instrumental temperature measurements are not the only evidence for
increasing global temperatures. The observed increased melting of glaciers
can be used to estimate the rate of temperature increase since the late 19th
century. Estimates of near-surface temperature based on glacial melting are
very similar to estimates based on instrumental temperature data. A 15 to
20 percent reduction in Arctic sea ice since the 1970s, a 10 percent decrease
in snow cover since the 1970s, and shortened periods of lake and river ice
cover (about 2 weeks shorter since the 19th century) have been observed.
Also, ocean heat content has significantly increased over the past several
decades (IPCC 2007).
0.6 400
380
Global Temperature Anomaly (ºC) (bars)
0.4
CO2 Concentration (ppmv) (curve)
360
0.2
340
0.0
320
–0.2
300
–0.4
280
260
–0.6
1880 1900 1920 1940 1960 1980 2000
FIGURE 2-3 Globally averaged surface air temperature and carbon dioxide (CO2)
concentration [parts per million by volume (ppmv)] since 1880. Note that the
shaded bars refer to global temperature anomalies and the solid line to CO2
concentrations. (Source: Updated from Karl and Trenberth 2003.)
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68 Potential Impacts of Climate Change on U.S. Transportation
directly driven by temperature change and to some extent by atmospheric
and oceanic circulation; (b) storminess as related to wave height and storm
surges; (c) precipitation and related snow and ice cover; and (d) sea level as
related to land ice, ocean temperature, and movement of the land relative
to the ocean due to geologic features and glacial rebound of the land as
land ice melts.
Generally, the extent of sea ice is important because the ice dampens
the energy of ocean waves. Wave energy is dependent on the distance
traveled by the wind over open water. Less extensive sea ice exposes the
coastline to more frequent and potentially higher ocean waves and swells.
Temperature drives the extent of sea ice, but changes in atmospheric and
ocean circulation also play an important role in multiyear variations in the
extent and location of sea ice. Changes in the type, amount, and intensity
of precipitation, as well as the extent of snow and ice cover, can also con-
tribute to coastal erosion from stream flow and overland runoff to the sea.
Loss of permafrost along coasts can lead to subsidence of the land, which
occurs when ice beneath the sea and along the shoreline melts. Alaska has
considerable permafrost along its northern and western coasts. The height
of the sea relative to the land is the ultimate long-term driver of coastal ero-
sion, but Alaskan sea level rise is complicated by both climatic factors and
geologic forces, affecting local and regional changes in the height of the
land relative to the ocean.
Atmospheric Temperature
Temperatures in Alaska have increased. Observational data indicate that
Alaskan spring and summer surface temperatures have increased by about
2°C to 3°C (about 4°F to 5°F) in the past few decades. However, there are
no discernible trends in temperature during autumn, and changes in win-
ter temperature are more complex. There were two 5-year periods in the
first half of the 20th century when temperatures were nearly as warm as
today, but record-breaking high temperatures have become more common
during recent decades.
Most climate model projections for temperature change during the
21st century suggest that Alaska, and the Arctic as a whole, will warm at
least twice as much as the rest of the world. The warming is expected to be
greatest during the cold half of the year. The observed lack of warming dur-
ing the autumn and the relatively large increases during other times of the
year are not entirely consistent with model projections; they do not depict
this asymmetry.
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Understanding Climate Change 69
As temperatures increase and sea ice continues to melt, a natural cli-
mate feedback occurs as a result of less reflection of sunlight by the ocean
formerly covered by sea ice. This feedback can lead to accelerated warm-
ing and additional sea ice melting. At present, the rate of loss of Northern
Hemisphere sea ice is exceeding climate model projections, and at the
present rate of loss, summer sea ice will be absent before the middle of
this century. Climate models do project an acceleration of sea ice retreat
over the 21st century, with periods of extensive melting lasting progres-
sively further into spring and fall. All climate models project this trend
to continue regardless of the emission scenario used and the sensitivity
of the model.
Large portions of Northern Hemisphere sea ice form during the
cold seasons and melt during the warm seasons. Considerable sea ice
persists through the melt season, but because of ocean circulation and
the resultant ice movement, multiyear sea ice makes up only a fraction
of the total ice extent. Records indicate that the formation of new sea
ice each year cannot keep pace with the rate of melting, which is con-
sistent with observed surface warming. Northern Hemisphere sea ice
has been decreasing steadily since the 1950s, measured largely through
continuous coverage provided by NOAA polar orbiting satellites begin-
ning in the 1970s. Prior to that time, assessment of the extent of Northern
Hemisphere sea ice during the first half of the 20th century was limited
to reports from land stations and ocean surface observations. Scientists
have less confidence in the data for the first part of the century, but
independent anecdotal evidence, such as interviews with native peoples
of Alaska, also suggests substantially greater extent of sea ice earlier in
the century.
It is important to understand trends in the extent of coastal sea ice
because it is an important determinant of wave energy affecting coastlines.
As the storms that create wave energy also exhibit strong seasonal varia-
tion, it is important to know how sea ice is changing by season. Since the
1950s, the extent of sea ice during winter and autumn has decreased from
15 million square kilometers (km2) to 14 million km2 and from 12 million
km2 to 11 million km2, respectively. Since the 1950s, decreases in spring and
summer have been substantially greater, down from an average of 15 mil-
lion km2 to 12 million km2 and 11 million km2 to 8 million km2, respectively.
This is equivalent to more than 10 percent of the North American land mass
and is an area larger than the state of Alaska.
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70 Potential Impacts of Climate Change on U.S. Transportation
Extratropical Storms
The climatology of Pacific Ocean storms favors the development of the
strongest storms (extratropical cyclones) from autumn to spring. Although
there are remaining uncertainties about the quality of the data, analyses of
Pacific Ocean extratropical cyclones over the past 50 years indicate little
change in the total number but a significant increase in the number of
intense storms (those with low central pressure and resultant high winds
and waves). The increase in extratropical storms is punctuated by consid-
erable year-to-year variability. Both observational evidence and modeling
projections support the notion that as the world warms, the intensity of
cyclones in the northern Pacific (and the northern Atlantic) will increase
(e.g., Lambert and Fyfe 2006; Wang et al. 2006).
Even without an increase in storm intensity, the greater expanse of open
water due to less extensive sea ice means that ocean waves, with resultant
coastal erosion, can occur more frequently and with greater impact.
Precipitation and Extent of Snow Cover
One of the most difficult quantities to measure across the state of Alaska is
precipitation. This is the case because of the variable nature of precipita-
tion in general, the relatively low number of observing stations across the
state, and the difficulty of providing high-quality data in the harsh Arctic
environment. The large uncertainty in estimated precipitation trends is
also due to the difficulty of measuring wind-blown solid precipitation.
On the basis of existing records, however, there is evidence to indicate
that during the past 40 years, as temperatures have warmed, more pre-
cipitation has been falling in liquid form (rain) as opposed to solid
form (snow, ice). The quantity of precipitation also increased during
the 20th century, with much of that increase occurring during the recent
period of warming over the past 40 years. The increase is estimated to be
between 10 and 20 percent, with most of it occurring during the summer
and winter rather than during the transition seasons. Because of greater
overall precipitation in the summer, the percent increase in summer equates
to a greater quantity of precipitation compared with winter.
Analyses of changes in intense precipitation events have been conducted
for areas south of 62°N latitude. They show that the frequency of intense
precipitation events has increased substantially (30 to 40 percent) during
the past several decades. Thus, a disproportionate amount of the precipita-
tion increase is attributable to the most intense precipitation events.
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Understanding Climate Change 71
Climate models project that precipitation will increase by a greater
proportion in the high latitudes compared with the rest of the world. This
result is consistent from model to model, as is the fact that this increase is
expected to be disproportionately larger in the more intense precipitation
events. Both of these phenomena can lead to increased erosion.
NOAA’s polar-orbiting environmental satellite data and surface-based
observations have also revealed major changes in the extent of snow cover.
The extent of North American snow cover has decreased by about 1 mil-
lion km2, and this trend is expected to continue or accelerate. Surface
observers also report a 1- to 2-week reduction in the number of days with
snow on the ground across the state. In addition, in the Arctic, the lake and
river ice season is now estimated to be 12 days shorter than in the 19th
century.
The increase in total and liquid precipitation, especially when falling
on less extensive snow cover, can affect soil erosion. However, the complex
effects of changes in precipitation type and intensity, earlier breakup of
winter ice, and less extensive snow cover have not been well evaluated with
respect to potential impacts on coastal erosion and flooding. It will be nec-
essary to know which factor dominates in order to understand whether
coastal erosion and flooding will be enhanced or ameliorated as a result of
changes in the extent of precipitation and snow cover.
Permafrost
Thawing of the permafrost, especially along the northern coasts, is expected
to continue. Long-term measurements of temperatures within the per-
mafrost are rare, but it is clear that as air and ocean temperatures have
warmed, permafrost has been melting. As permafrost melts along the
coastlines, the effect on coastal erosion can be compounded by the retreat
of sea ice. The thaw causes the land to subside along the shore, expos-
ing more land to the action of the waves. The thaw also causes slumping
and landslides in the interior, undermining structures built on or near
permafrost.
Sea Level
A general increase in sea level would expose more land to coastal erosion
through wave energy and storm surges. However, it is important to rec-
ognize that there are many local and regional variations in sea level rise,
and Alaska is no exception in this regard. Complications arise because of
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72 Potential Impacts of Climate Change on U.S. Transportation
geologic forces; the rebound of the land as glaciers melt; and in some
areas, local engineering projects. For certain areas in Alaska (e.g., parts of
southeast Alaska), sea level is actually falling as a result of natural geologic
and glacial rebound effects, but this is generally not the case in much of
the state. It is clear, however, that changes in Alaskan climate are among
the greatest in the world. They have likely played an important role in
determining the extent of coastal erosion and flooding in the state and are
likely to continue to do so in the future. Accelerated coastal erosion and
flooding linked to sea level rise in Alaska cannot be ruled out.
FINDINGS
The state of the science continues to indicate that modern climate change
is affected by human influences, primarily human-induced changes in
atmospheric composition that are warming the climate. These changes
result mainly from emissions of GHGs associated with energy use, but on
local and regional scales, urbanization and land use changes are also
important contributors to climate change. Once in the atmosphere, GHG
concentrations have a long residence time—on the order of a century.
Thus, they would continue to affect climate conditions even if GHG emis-
sions were eliminated today, and they demand a response.
Substantial progress has been made in monitoring and understanding
the causes of climate change, but scientific, technical, and institutional
challenges to improving projections of future climate change remain.
For example, considerable uncertainty persists about the rates of climate
change that can be expected during the 21st century. Nevertheless, it is clear
that climate change will be increasingly manifested in important and tan-
gible ways, such as changes in extremes of temperature and precipitation,
decreases in seasonal and perennial snow and ice extent, and rising sea lev-
els. In addition, climate models project an increase in the intensity of
strong hurricanes, with an increase in related storm rainfall rates, in the
21st century. Thus, as human-induced climate changes are superimposed
on the natural variability of the climate, the future will include new classes
of weather and climate extremes not experienced in modern times.
Climate changes will affect transportation largely through these
extremes. The U.S. transportation system was built for the typical weather
and climate experienced locally, including a reasonable range of extremes.
If projected climate changes push environmental conditions outside the
range for which the system was designed—and the scientific evidence sug-
OCR for page 36
Understanding Climate Change 73
gests that this will be the case—the impacts will be significant. They will
vary by mode of transportation and region of the country, and some will
be positive; in general, however, the impacts will be widespread and costly
in both human and economic terms and require significant changes in the
planning, design, construction, operation, and maintenance of transporta-
tion systems. In the next chapter, the likely impacts of projected climate
changes on transportation are examined in detail.
REFERENCES
Abbreviations
CCSP U.S. Climate Change Science Program
IPCC Intergovernmental Panel on Climate Change
NOAA National Oceanic and Atmospheric Administration
NRC National Research Council
Alexander, L. V., X. Zhang, T. C. Peterson, J. Caesar, B. Gleason, A. M. G. Klein Tank,
M. Haylock, D. Collins, B. Trewin, F. Rahimzadeh, A. Tagipour, P. Ambenje,
K. Rupa Kumar, J. Revadekar, and G. Griffiths. 2006. Global Observed Changes in
Daily Climate Extremes of Temperature and Precipitation. Journal of Geophysical
Research. Vol. 111, No. D5, Mar. 15.
Allen, M. R. 2005. The Spectre of Liability: Part 1—Attribution. In The Finance of
Climate Change: A Guide for Governments, Corporations, and Investors (K. Tang,
ed.), Chapter 29, Risk Books, Haymarket, London.
Alpert, P., T. Ben-Gai, A. Baharad, Y. Benjamini, D. Yekutieli, M. Colacino, L. Diodato,
C. Ramis, V. Homar, R. Romero, S. Michaelides, and A. Manes. 2002. The
Paradoxical Increase of Mediterranean Extreme Daily Rainfall in Spite of Decrease
in Total Values. Geophysical Research Letters, Vol. 29, No. 11, p. 1536.
Andreae, M. O., D. Rosenfeld, P. Artaxo, A. A. Costa, G. P. Frank, K. M. Longo, and
M. A. Silva-Dias. 2004. Smoking Rain Clouds over the Amazon. Science, Vol. 303,
No. 5662, pp. 1337–1342.
Bachelet, D., R. P. Neilson, J. M. Lenihan, and R. J. Drapek. 2001. Climate Change Effects
on Vegetation Distribution and Carbon Budget in the United States. Ecosystems,
Vol. 4, pp. 164–185.
Bengtsson, L., K. I. Hodges, M. Esch, N. Keenlyside, L. Kornblueh, J.-J. Luo, and
T. Yamagata. 2007. How May Tropical Cyclones Change in a Warmer Climate.
Tellus A, Vol. 59, No. 4, pp. 539–561.
Bornstein, R., and Q. Lin. 2000. Urban Heat Islands and Summertime Convective
Thunderstorms in Atlanta: Three Case Studies. Atmospheric Environment, Vol. 34,
No. 3, pp. 507–516.
Brooks, H. E., and N. Dotzek. 2008. The Spatial Distribution of Severe Convective
Storms and Analysis of Their Secular Changes. In Climate Extremes and Society
(H. Diaz and R. Murnane, eds.), Cambridge University Press.
OCR for page 36
74 Potential Impacts of Climate Change on U.S. Transportation
Bruun, P. 1962. Sea-Level Rise as a Cause of Shore Erosion. Journal of the Waterways
and Harbors Division, Vol. 88, pp. 117–130.
Burkett, V. 2002. Potential Impacts of Climate Change and Variability on Trans-
portation in the Gulf Coast/Mississippi Delta Region. In The Potential Impacts of
Climate Change on Transportation, Summary and Discussion Papers. Federal
Research Partnership Workshop, Brookings Institution, Washington, D.C., Oct.
1–2, pp. 103–113.
CCSP. 2007. Weather and Climate Extremes in a Changing Climate. Regions of Focus:
North America, Hawaii, Caribbean, and U.S. Pacific Islands (T. R. Karl, G. A.
Meehl, C. D. Miller, S. J. Hassol, A. M. Waple, and W. L. Murray, eds.), Department
of Commerce, National Climatic Data Center, National Oceanic and Atmospheric
Administration, Washington, D.C.
Chagnon, F. J. F., and R. L. Bras. 2005. Contemporary Climate Change in the Amazon.
Geophysical Research Letters, Vol. 32, L13703.
Changnon, S. A., R. G. Semonin, A. H. Auer, R. R. Braham, Jr., and J. M. Hales (eds.).
1981. METROMEX: A Review and Summary. Meteorological Monograph, Vol. 18,
American Meteorological Society, Boston, Mass.
Church, J. A., and N. J. White. 2006. A 20th Century Acceleration in Global Sea-Level
Rise. Geophysical Research Letters, Vol. 33, L01602.
Cook, E. R., C. A. Woodhouse, C. M. Eakin, D. M. Meko, and D. W. Stahle. 2004.
Long-Term Aridity Changes in the Western United States. Science, Vol. 306,
No. 5698, pp. 1015–1018.
Cook, E. R., D. M. Meko, D. W. Stahle, and M. K. Cleaveland. 1999. Drought Recon-
structions for the Continental United States. Journal of Climate, Vol. 12,
pp. 1145–1162.
Dai, A., K. E. Trenberth, and T. Qian. 2004. A Global Data Set of Palmer Drought
Severity Index for 1870–2002: Relationship with Soil Moisture and Effects of
Surface Warming. Journal of Hydrometeorology, Vol. 5, pp. 1117–1130.
Emanuel, K. 2005. Increasing Destructiveness of Tropical Cyclones over the Past 30
Years. Nature, Vol. 436, pp. 686–688.
Forster, P., V. Ramaswamy, P. Artaxo, T. Berntsen, R. Betts, D. W. Fahey, J. Haywood,
J. Lean, D. C. Lowe, G. Myhre, J. Nganga, R. Prinn, G. Raga, M. Schulz, and R. Van
Dorland. 2007. Changes in Atmospheric Constituents and in Radiative Forcing. In
Climate Change 2007: The Physical Science Basis. Contribution of Working Group I
to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change
(S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor,
and H. L. Miller, eds.), Cambridge University Press, Cambridge, United Kingdom,
and New York.
Gillett, N. P., F. L. Zwiers, A. J. Weaver, G. C. Hegerl, M. R. Allen, and P. A. Stott. 2002.
Detecting Anthropogenic Influence with a Multi-Model Ensemble. Geophysical
Research Letters, Vol. 29, No. 20, p. 1970.
Groisman, P. Ya., B. Sun, R. S. Vose, J. H. Lawrimore, P. H. Whitfield, E. Førland,
I. Hanssen-Bauer, M. C. Serreze, V. N. Razuvaev, and G. V. Alekseev. 2003. Contem-
porary Climate Changes in High Latitudes of the Northern Hemisphere: Daily Time
Resolution. Proc., International Symposium on Climate Change, Beijing, World
Meteorological Organization Publication No. 1172, Mar. 31–Apr. 3, pp. 51–55.
OCR for page 36
Understanding Climate Change 75
Groisman, P. Ya., R. W. Knight, T. R. Karl, D. R. Easterling, B. Sun, and J. Lawrimore.
2004. Contemporary Changes of the Hydrological Cycle over the Contiguous
United States: Trends Derived from In Situ Observations. Journal of Hydro-
meteorology, Vol. 5, pp. 64–85.
Groisman, P. Ya., R. W. Knight, T. R. Karl, D. R. Easterling, G. C. Hegerl, and V. N.
Razuvaev. 2005. Trends in Intense Precipitation in the Climate Record. Journal of
Climate, Vol. 18, pp. 1326–1350.
Hegerl, G. C., P. D. Jones, and T. P. Barnett. 2001. Effect of Observational Sampling
Error on the Detection and Attribution of Anthropogenic Climate Change.
Journal of Climate, Vol. 14, No. 2, pp. 198–207.
IPCC. 2001. Climate Change 2001: The Scientific Basis. Contribution of Working Group
I to the Third Assessment Report of the Intergovernmental Panel on Climate Change
(J. T. Houghton, Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, X. Dai,
K. Maskell, and C. A. Johnson, eds.), Cambridge University Press, Cambridge,
United Kingdom, and New York.
IPCC. 2007. Summary for Policymakers. In Climate Change 2007: The Physical Science
Basis. Contribution of Working Group I to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change (S. Solomon, D. Qin, M. Manning,
Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller, eds.), Cambridge
University Press, Cambridge, United Kingdom, and New York.
Jones, P. D., P. Ya Groisman, M. Coughlan, N. Plummer, W.-C. Wang, and T. R. Karl.
1990. Assessment of Urbanization Effects in Time Series of Surface Air Temperature
over Land. Nature, Vol. 347, pp. 169–172.
Karl, T. R., H. F. Diaz, and G. Kukla. 1988. Urbanization: Its Detection and Effect in
the United States Climate Record. Journal of Climate, Vol. 1, pp. 1099–1123.
Karl, T. R., and K. E. Trenberth. 2003. Modern Climate Change. Science, Vol. 302,
No. 5651, pp. 1719–1723.
Karl, T. R., and R. W. Knight. 1998. Secular Trends of Precipitation Amount, Frequency,
and Intensity in the United States. Bulletin of the American Meteorological Society,
Vol. 79, No. 2, pp. 231–241.
Karl, T. R., S. J. Hassol, C. Miller, and W. Murray. 2006. Temperature Trends in the Lower
Atmosphere: Understanding and Reconciling Differences. U.S. Climate Change Science
Program, Asheville, N.C.
Karoly, D. J., K. Braganza, P. A. Scott, J. M. Arblaster, G. A. Meehl, A. J. Broccoli, and
K. W. Dixon. 2003. Detection of a Human Influence on North American Climate.
Science, Vol. 302, No. 5648, pp. 1200–1203.
Karoly, D. J., and Q. Wu. 2005. Detection of Regional Surface Temperature Trends.
Journal of Climate, Vol. 18, pp. 4337–4343.
Kharin, V. V., F. W. Zwiers, X. Zhang, and G. C. Hegerl. 2007. Changes in Temperature
and Precipitation Extremes in the IPCC Ensemble of Global Coupled Model
Simulations. Journal of Climate, Vol. 20, pp. 1419–1444.
Lambert, S. J., and J. C. Fyfe. 2006. Changes in Winter Cyclone Frequencies and
Strengths Simulated in Enhanced Greenhouse Warming Experiments: Results
from the Models Participating in the IPCC Diagnostic Exercise. Climate
Dynamics, Vol. 26, pp. 713–728.
Landsberg, H. E. 1983. Urban Climates. Island Press, Washington, D.C.
OCR for page 36
76 Potential Impacts of Climate Change on U.S. Transportation
Leatherman, S. P., K. Zhang, and B. C. Douglas. 2000. Sea-Level Rise Shown to Drive
Coastal Erosion. Eos, Transactions, Vol. 81, No. 6, pp. 55–57.
Lenihan, J. M., R. Drapek, D. Bachelet, and R. P. Neilson. 2003. Climate Change Effects
on Vegetation Distribution, Carbon, and Fire in California. Ecological Applications,
Vol. 13, No. 6, Dec., pp. 1667–1681.
Levinson, D. H. 2006. Update to the Standard Project Hurricane (SPH) Indices. Enclosure
6 of Annex 6, Louisiana Coastal Protection and Restoration, Preliminary Technical
Report submitted to Congress, July.
McDonald, R. E., D. G. Bleaken, D. R. Cresswell, V. D. Pope, and C. A. Senior. 2005.
Tropical Storms: Representation and Diagnosis in Climate Models and the Impacts
of Climate Change. Climate Dynamics, Vol. 25, No. 1, pp. 19–36.
Munk, W. 2002. Twentieth Century Sea Level: An Enigma. Proceedings of the National
Academy of Sciences, Vol. 99, pp. 6550–6555.
NOAA. 2001. Coastal Areas and Marine Resources: The Potential Consequences of Climate
Variability and Change. Dec.
NOAA. 2006. U.S. Experienced Record Warm First Half of Year, Widespread Drought
and Northeast Record Rainfall. News release, July 14. www.publicaffairs.noaa.gov/
releases2006/jul06/noaa06-065.html.
NRC. 1987. Responding to Changes in Sea-Level: Engineering Implications. Commission
on Engineering and Technical Systems, National Academy Press, Washington, D.C.
NRC. 2001. Climate Change Science. An Analysis of Some Key Questions. National
Academy Press, Washington, D.C.
Oouchi, K., J. Yoshimura, H. Yoshimura, R. Mizuta, S. Kusunoki, and A. Noda. 2006.
Tropical Cyclone Climatology in a Global-Warming Climate as Simulated in a
20-km-Mesh Global Atmospheric Model: Frequency and Wind Intensity Analysis.
Journal of the Meteorological Society of Japan, Vol. 84, No. 2, pp. 259–276.
Peterson, T. C. 2003. Assessment of Urban Versus Rural In Situ Surface Temperatures
in the Contiguous United States. Journal of Climate, Vol. 16, No. 18, Sept.,
pp. 2941–2959.
Peterson, T. C., M. McGuirk, T. G. Houston, A. H. Horvitz, and M. S. Wehner. 2006.
Climate Variability and Change with Implications for Transportation. National
Oceanic and Atmospheric Administration and Lawrence Berkeley National
Laboratory, Dec. 16.
Rasmussen, R. M., J. Vivekanandan, J. Cole, B. Myers, and C. Masters. 1999. The
Estimation of Snowfall Rate Using Visibility. Journal of Applied Meteorology,
Vol. 38, pp. 1542–1563.
Santer, B. D., C. Mears, F. J. Wentz, K. E. Taylor, P. J. Gleckler, T. M. Wigley, T. P. Barnett,
J. S. Boyle, W. Brüggemann, N. P. Gillett, S. A. Klein, G. A. Meehl, T. Nozawa, D. W.
Pierce, P. A. Stott, W. M. Washington, and M. F. Wehner. 2007. Identification of
Human-Induced Changes in Atmospheric Moisture Content. Proceedings of the
National Academy of Sciences, Vol. 104, No. 39, pp. 15248–15253.
Schoof, C. 2007. Ice Sheet Grounding Line Dynamics: Steady States, Stability and
Hysteresis. Journal of Geophysical Research, Vol. 112, F03S28. doi:
10.1029/2006JF000664.
Seager, R., M. F. Ting, I. Held, Y. Kushnir, J. Lu, G. Vecchi, H. P. Huang, N. Harnik,
A. Leetmaa, N. C. Lau, C. Li, J. Velez, and N. Naik. 2007. Model Projections of an
OCR for page 36
Understanding Climate Change 77
Imminent Transition to a More Arid Climate in Southwestern North America.
Science, Vol. 316, No. 5828, May 25, pp. 1181–1184.
Soden, B. J., D. L. Jackson, V. Ramaswamy, M. D. Schwarzkopf, and X. Huang. 2005.
The Radiative Signature of Upper Tropospheric Moistening. Science, Vol. 310,
No. 5749, pp. 841–844.
Staudt, A., N. Huddleston, and S. Rudenstein. 2006. Understanding and Responding to
Climate Change: Highlights of National Academies Reports. National Academies
Press, March.
Stone, D. A., and M. R. Allen. 2005. Attribution of Global Surface Warming Without
Dynamical Models. Geophysical Research Letters, Vol. 32, No. 18, L18711.
Stott, P. A., S. F. B. Tett, G. S. Jones, M. R. Allen, W. J. Ingram, and J. F. B. Mitchell.
2001. Attribution of Twentieth Century Temperature Change to Natural and
Anthropogenic Causes. Climate Dynamics, Vol. 17, pp. 1–21.
Sugi, M., A. Noda, and N. Sato. 2002. Influence of Global Warming on Tropical
Cyclone Climatology: An Experiment with the JMA Global Model. Journal of the
Meteorological Society of Japan, Vol. 80, No. 2, pp. 249–272.
Tett, S. F. B., G. S. Jones, P. A. Stott, D. C. Hill, J. F. B. Mitchell, M. R. Allen, W. J.
Ingram, T. C. Johns, C. E. Johnson, A. Jones, D. L. Roberts, D. M. H. Sexton, and
M. J. Woodage. 2002. Estimation of Natural and Anthropogenic Contributions to
Twentieth Century Temperature Change. Journal of Geophysical Research, Vol. 107,
No. D16, 4306.
Titus, J. 2002. Does Sea Level Rise Matter to Transportation Along the Atlantic Coast?
In The Potential Impacts of Climate Change on Transportation, Summary and
Discussion Papers, Federal Research Partnership Workshop, Brookings Institution,
Washington, D.C., Oct. 1–2, pp. 135–150.
Trenberth, K. E., A. Dai, R. M. Rasmussen, and D. B. Parsons. 2003. The Changing
Character of Precipitation. Bulletin of the American Meteorological Society, Vol. 84,
No. 9, pp. 1205–1217.
Trenberth, K. E., J. Fasullo, and L. Smith. 2005. Trends and Variability in Column
Integrated Atmospheric Water Vapor. Climate Dynamics, Vol. 24, No. 7–8,
pp. 741–758.
Vaughan, D. G., J. W. Holt, and D. D. Blankenship. 2007. West Antarctic Links to Sea
Level Estimation. Eos, Transactions, Vol. 88, No. 46, p. 485.
Wang, X. L., F. W. Zwiers, and V. R. Swail. 2004. North Atlantic Ocean Wave Climate
Change Scenarios for the Twenty-First Century. Journal of Climate, Vol. 17,
pp. 2368–2383.
Wang X. L., V. R. Swail, and F. W. Zwiers. 2006. Climatology and Changes of Extra-
Tropical Storm Tracks and Cyclone Activity: Comparison of ERA-40 with NCEP/
NCAR Reanalysis for 1958–2001. Journal of Climate, Vol. 19, pp. 3145–3166.
Webster, P. J., G. J. Holland, A. Curry, and H.-R. Chang. 2005. Changes in Tropical
Cyclone Number, Duration and Intensity in a Warming Environment. Science,
Vol. 309, No. 5742, pp. 1844–1846.
Wehner, M. 2005. Changes in Daily Precipitation and Surface Air Temperature
Extremes in the IPCC AR4 Models. US CLIVAR Variations, Vol. 3, pp. 5–9.
Westerink, J. J., C. A. Blain, R. Luettich, and N. W. Scheffner. 1994. ADCIRC: An
Advanced Three-Dimensional Circulation Model for Shelves, Coasts, and Estuaries.
OCR for page 36
78 Potential Impacts of Climate Change on U.S. Transportation
Report 2: Users Manual for ADCIRC-2DDI. Technical Report DRP-92-6. U.S.
Army Corps of Engineers, Coastal Engineering Research Center, Vicksburg, Miss.
Westerling, A. L., H. G. Hidalgo, D. R. Cayan, and T. W. Swetnam. 2006. Warming and
Earlier Spring Increase in Western U.S. Forest Wildfire Activity. Science, Vol. 313,
pp. 940–943.
Willett, K. M., N. P. Gillett, P. D. Jones, and P. W. Thorne. 2007. Attribution of
Observed Surface Humidity Changes to Human Influence. Nature, Vol. 449,
pp. 710–712.
Zhang, X., F. W. Zwiers, and P. A. Stott. 2006. Multi-Model Multi-Signal Climate
Change Detection at Regional Scale. Journal of Climate, Vol. 19, pp. 4294–4307.
Zwiers, F. W., and X. Zhang. 2003. Toward Regional Scale Climate Change Detection.
Journal of Climate, Vol. 16, pp. 793–797.