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Unclassified
Climate Change Impacts Relevant to National Security
Overview of Materials Provided in Support of the Quadrennial Defense Review
August 14th 2009
Oak Ridge National LaboratoryOak Ridge National LaboratoryClimate Change Science TeamClimate Change Science Team
22 Managed by UT-Battellefor the U.S. Department of Energy
Unclassified
AgendaAgenda
Tasks and Products Current challenges in climate change science Approach Examples of results Questions, Discussion, and Web Portal
Demonstration
Unclassified
33 Managed by UT-Battellefor the U.S. Department of Energy
The Requirement…The Requirement…
From the FY08 National Defense Authorization Act:
SEC. 951. “DEPARTMENT OF DEFENSE CONSIDERATION OF EFFECT OF CLIMATE CHANGE ON DEPARTMENT FACILITIES, CAPABILITIES, AND MISSIONS”
''The first Quadrennial Defense Review prepared after the date of the enactment of this subsection shall also examine the capabilities of the armed forces to respond to the consequences of climate change, in particular, preparedness for natural disasters from extreme weather events and other missions the armed forces may be asked to support inside the United States and overseas. ''
Unclassified
44 Managed by UT-Battellefor the U.S. Department of Energy
Our Tasks:Our Tasks: Create reports that assess potential
impacts to security-relevant topics such as water scarcity, migration of people, food shortages, and increased natural disasters…
Create visualizations of projections based on IPCC scenarios…
Address potential natural disasters due to climate change and their potential impact on DoD operations…
Provide specifically-focused assessments on Russia, India, China, Korea, the Arctic Sea, NORTHCOM coastal environments, and Guam…
Identify low-likelihood ‘shocks’ to the global climate system…
A web-based framework to disseminate the results…
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Unclassified
Climate change science challenges
Occurring but difficult to assign attribution to individual events
“Dangerous” temperature increase may occur by mid-century
Mitigation won’t happen fast enough to avoid significant change
Planning for adaptation is essential
Uncertainties are present– Model– Data– Theory
We are working on these problems with our partners
66 Managed by UT-Battellefor the U.S. Department of Energy
Unclassified
Climate change projections have recognized uncertainties
Projections from various sources show ranges of possible futures, and
Impact assessment is limited both by multiple stresses and limited knowledge of thresholds
Accordingly, the assessments should be considered illustrations of likely conditions, not quantitative predictions of impacts
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Unclassified
Hazards increase with time and severity of scenario
Vulnerability is the exposure and sensitivity to adverse consequences– Specific to locality– Related to prior experience, resistance, resilience,
adaptation– Correlated with poverty, population, governance– Areas vulnerable today will be vulnerable in (at
least the near) future New areas of vulnerability will occur where resiliency has
not been addressed sufficiently for new hazards or increased frequency or intensity of existing ones
We mainly addressed the hazards in this study, not the vulnerability
88 Managed by UT-Battellefor the U.S. Department of Energy
Unclassified
Parameters addressed in our study
Temperature
Water Resources– Precipitation
– Water Availability: Precipitation - Evaporation (P-E)
Extreme Events– Heat Waves: average intensity of nighttime highs
– Floods: Intensity of recurrence rainfall events (PEVI)
– Droughts: Standardized Precipitation Index (SPI)
– Fire, tropical storms, and landslides
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Unclassified
Basis for Analyses
A1FI, A1B, and B1 scenarios
Simulation data from state-of-the-science US climate model (CCSM3)
AR4 and subsequent peer-reviewed literature
Spatial Representations– Grid-based analysis at CCSM resolution (150km)– Interpolation for visual analysis– Decadal annual averages (e.g., 2030 = 2025-2034)– Baseline for decadal changes is 2005 decade (2000-
2009)
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Unclassified
CCSM3: High-quality model that was part of the IPCC AR4 21-member ensemble
Statistics of annual mean responses to the SRES A1B scenario, for 2080 to 2099 relative to 1980 to 1999
Y axis shows the level of relative agreement as a function of scale (logarithmic on the X-axis) among the models for temperature and precipitation
Models agree across all scales of the projected temperature changes, but the agreement for precipitation decreases significantly at local to regional scales
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Temperature
Precipitation
Rela
tive
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Local 1.25 2.5 5 10 Hem. Global
Scale (1000 km)
(Adapted from Fig 10-27 of the IPCC AR4)
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Unclassified
Assessments by COCOM AOR For each AOR:
– Projected Climate Change Overall ‘Hotspots’ – Geographical areas of significant climate
change that merit special attention or concern
– Climate Consequences
– Implications
– Assessment
Focus Regions within the AOR– Will include Arctic Ocean, Pacific Islands (e.g.,
Guam), CONUS Coastal Regions
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Unclassified
NORTHCOM: Intensification of droughts
2100 A1FI
Water Availability
Index
General shift in Atlantic hurricane intensity might be expected by 2100 for A1FI
The desertification in western U.S. can be contrasted with wetter conditions in the southeast U.S.
Warming largest in winter
Water scarcity and wildfires
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Unclassified
EUCOM: Heat waves in western and floods in northern and eastern Europe
Even the moderate A1B scenario projects water issues in Spain and Portugal as early as 2030
Geographic shifts in agricultural productivity
2030 A1B Precipitation
2030 A1B Drought Index
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Unclassified
PACOM: Sea level rise is #1 concern
Australia: Hotter and drier– Increased fire risk
Mainland Asia: More precipitation and higher intensity– Increased flood risk
Southeast Asia: Increased rainfall– Landslides increase with
population-driven deforestation
Largest population at risk– Island nations– Migration of people
2100 A1FI Water Availability
2100 A1FI Temperature Change
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Unclassified
AFRICOM: Geographical shifts of wet/dry conditions
Shifts in seasonality of wet/dry ecology– Agricultural benefits
– Serengeti ecosystems at risk
Potential for changes in distribution of vector-borne diseases
Lowest ability for adaptation
2100 A1FI Temperature Change
2100 A1FI Precipitation
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Unclassified
CENTCOM: Decrease in growing-season precipitation central Asia
Arabian peninsula gets wetter– But greater level of
uncertainty due to systematic model error
Coherent evidence of increased flooding hazard in northern Pakistan
2050 A1FI Drought Index
2030 A1B Drought Index
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Unclassified
SOUTHCOM: Geographical shifts of wet/dry conditions
Drying in southern regions during growing season– Reduced agricultural
productivity
Extreme storms impact Central America and Caribbean more than elsewhere
Shifts in seasonality of wet/dry conditions– Ecosystems at risk
2050 A1FI Drought Index
2030 A1B Drought Index
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UnclassifiedPACOM_07/16/08_Christe
nsen
Present Sea LevelPresent Sea LevelSea Level Rise 2100 (estimated maximum) ~.9 mSea Level Rise 2100 (estimated maximum) ~.9 mSea Level Rise 2100 Plus High TideSea Level Rise 2100 Plus High Tide
Guam: Relatively low risk to infrastructure
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Unclassified
Arctic: Severe loss of sea ice
Retreat of sea ice from Russian coastal areas– Increase in coastal
erosion
Permafrost degradation– May impact oil
production
2050 A1FI Temperature
Difference
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To Summarize
Climate change impacts vary considerably from region to region, but no region is without risks and vulnerabilities
Shifts in geographical and seasonal patterns of wet/dry conditions are consistent concerns across UCC’s
The main topical interests over the next several decades are probably the Arctic, coastal vulnerabilities, and water scarcity/drought in some areas
Looking out toward 2050 and beyond, there are particular concerns about Africa, coastal and interior parts of Asia, and island nations
If climate change is severe rather than modest, many areas will be very seriously affected later in this century
Unclassified
Questions,
Discussion, and
Demo of Web Portal
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Unclassified
The QDR Web Portal
http://www.ornl.gov/knowledgediscovery/QDR/
Unclassified
Back-Up Materials
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Unclassified
2008 emissions increased less than the 2000-2006 average: 2009 expected to be real decrease from 2008 (Le Quéré et al., submitted)