--- - attributes: ~ caption: |- Observed and projected changes (compared to the 1901–1960 average) in near-surface air temperature for Alabama. Observed data are for 1900–2014. Projected changes for 2006–2100 are from global climate models for two possible futures: one in which greenhouse gas emissions continue to increase (higher emissions) and another in which greenhouse gas emissions increase at a slower rate (lower emissions). Temperatures in Alabama (orange line) were high in the 1920s and 1930s then decreased by about 2°F into the 1960s and 1970s. Temperatures have increased by about 1.5°F since the 1970s. Shading indicates the range of annual temperatures from the set of models. Observed annual temperatures are generally within the envelope of model simulations of the historical period (gray shading), but on the very low end. However, for summer daytime maximum temperatures, which have decreased over the 20th century, this localized cooling is not well simulated by climate models. If Alabama were to continue to follow the low end of model projected temperatures, by the end of the 21st century average temperatures would be about as warm as the hottest historical year under a lower emissions scenario and about 4°F warmer than the hottest historical year under a high emissions scenario. Source: CICS-NC and NOAA NCEI. chapter_identifier: alabama create_dt: 2019-02-15T18:17:22 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/alabama/figure/al-observed-and-projected-temperature-change.yaml identifier: al-observed-and-projected-temperature-change lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: 2019-02-15T18:17:24 time_end: 2100-12-31T00:00:00 time_start: 1900-01-01T00:00:00 title: Observed and Projected Temperature Change uri: /report/noaa-led-state-summaries-2017/chapter/alabama/figure/al-observed-and-projected-temperature-change url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: ~ chapter_identifier: scenarios-and-projections create_dt: 2017-04-18T17:56:48 href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/scenarios-and-projections/figure/globalco2.yaml identifier: globalco2 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017 source_citation: ~ submission_dt: 2017-09-26T20:43:00 time_end: ~ time_start: ~ title: Global GHG Emissions and Atmospheric CO2 Concentrations for RCP8.5 and RCP4.5 uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/scenarios-and-projections/figure/globalco2 url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'This image shows observations globally from nine different variables that are key indicators of a warming climate. The indicators (listed below) all show long-term trends that are consistent with global warming. In parentheses are the number of datasets shown in each graph, the length of time covered by the combined datasets and their anomaly reference period (where applicable), and the direction of the trend: land surface air temperature (4 datasets, 1850–2016 relative to 1976–2005, increase); sea surface temperature (3 datasets, 1850–2016 relative to 1976–2005, increase); sea level (4 datasets, 1880–2014 relative to 1996–2005, increase); tropospheric temperature (5 datasets, 1958–2016 relative to 1981–2005, increase); ocean heat content, upper 700m (5 datasets, 1950–2016 relative to 1996–2005, increase); specific humidity (4 datasets, 1973–2016 relative to 1980–2003, increase); Northern Hemisphere snow cover, March–April and annual (1 dataset, 1967–2016 relative to 1976–2005, decrease); arctic sea ice extent, September and annual (1 dataset, 1979–2016, decrease); glacier cumulative mass balance (1 dataset, 1980–2016, decrease). More information on the datasets can be found in the accompanying metadata. (Figure source: NOAA NCEI and CICS-NC, updated from Melillo et al. 2014;dd5b893d-4462-4bb3-9205-67b532919566 Blunden and Arndt 2016482100c5-394a-461e-8952-4907dee3cc97 ).' chapter_identifier: our-changing-climate create_dt: 2016-09-02T17:40:52 href: https://data.globalchange.gov/report/climate-science-special-report/chapter/our-changing-climate/figure/indicators-of-warming.yaml identifier: indicators-of-warming lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: climate-science-special-report source_citation: ~ submission_dt: 2017-10-11T15:56:15 time_end: ~ time_start: ~ title: Indicators of Warming from Multiple Datasets uri: /report/climate-science-special-report/chapter/our-changing-climate/figure/indicators-of-warming url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Major U.S. national and regional climate trends. Shaded areas are the U.S. regions defined in the 2014 NCA.dd5b893d-4462-4bb3-9205-67b532919566,bfc00315-ccea-4e7c-8a05-2650a07e4252' chapter_identifier: climate-change-and-human-health create_dt: 2014-11-25T01:00:00 href: https://data.globalchange.gov/report/usgcrp-climate-human-health-assessment-2016/chapter/climate-change-and-human-health/figure/major-us-climate-trends.yaml identifier: major-us-climate-trends lat_max: 49.38 lat_min: 24.50 lon_max: -66.95 lon_min: -124.8 ordinal: 1 report_identifier: usgcrp-climate-human-health-assessment-2016 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Major U.S. Climate Trends uri: /report/usgcrp-climate-human-health-assessment-2016/chapter/climate-change-and-human-health/figure/major-us-climate-trends url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: Miami Children’s Hospital retrofitted its façade to withstand hurricane force winds chapter_identifier: introduction create_dt: ~ href: https://data.globalchange.gov/report/usdhhs-primary-protection-enhancing-health-care-resilience-changing-climate/chapter/introduction/figure/miami-childrens-hospital.yaml identifier: miami-childrens-hospital lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: usdhhs-primary-protection-enhancing-health-care-resilience-changing-climate source_citation: 'U.S. Department of Homeland Security, 2014' submission_dt: ~ time_end: ~ time_start: ~ title: 'Miami Children’s Hospital ' uri: /report/usdhhs-primary-protection-enhancing-health-care-resilience-changing-climate/chapter/introduction/figure/miami-childrens-hospital url: ~ usage_limits: ~ - attributes: ~ caption: |- Observed and projected changes (compared to the 1901–1960 average) in near-surface air temperature for Alabama. Observed data are for 1900–2018. Projected changes for 2006–2100 are from global climate models for two possible futures: one in which greenhouse gas emissions continue to increase (higher emissions) and another in which greenhouse gas emissions increase at a slower rate (lower emissions)1. Temperatures in Alabama (orange line) were high in the 1920s and 1930s then decreased by about 2°F into the 1960s and 1970s. Temperatures have increased by about 1.5°F since the 1970s. Shading indicates the range of annual temperatures from the set of models. Observed annual temperatures are generally within the envelope of model simulations of the historical period (gray shading), but on the very low end. However, for summer daytime maximum temperatures, which have decreased over the 20th century, this localized cooling is not well simulated by climate models. If Alabama were to continue to follow the low end of model projected temperatures, by the end of the 21st century average temperatures would be about as warm as the hottest historical year under a lower emissions scenario (green shading) and about 4°F warmer than the hottest historical year under a high emissions scenario (red shading). Source: CICS-NC and NOAA NCEI.

1Technical details on models and projections are provided in an appendix, available online at: [https://statesummaries.ncics.org/](https://statesummaries.ncics.org/) chapter_identifier: alabama create_dt: 2019-02-26T14:44:26 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2019/chapter/alabama/figure/observed-and-projected-temperature-change.yaml identifier: observed-and-projected-temperature-change lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: noaa-led-state-summaries-2019 source_citation: ~ submission_dt: 2019-03-22T19:39:29 time_end: 2100-12-31T00:00:00 time_start: 1900-01-01T00:00:00 title: Observed and Projected Temperature Change uri: /report/noaa-led-state-summaries-2019/chapter/alabama/figure/observed-and-projected-temperature-change url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'This map shows climate-related impacts that have occurred in each region since the Third National Climate Assessment in 2014 and response actions that are helping the region address related risks and costs. These examples are illustrative; they are not indicative of which impact is most significant in each region or which response action might be most effective. Source: NCA4 Regional Chapters.' chapter_identifier: overview-executive-summary create_dt: 2018-04-09T18:52:15 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/overview_regional-impacts-and-actions_v1.yaml identifier: overview_regional-impacts-and-actions_v1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:24 time_end: ~ time_start: ~ title: Impacts & Responses uri: /report/nca4/chapter/overview-executive-summary/figure/overview_regional-impacts-and-actions_v1 url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'These are just some of the indicators measured globally over many decades that show that the Earth’s climate is warming. White arrows indicate increasing trends, and black arrows indicate decreasing trends. All the indicators expected to increase in a warming world are, in fact, increasing, and all those expected to decrease in a warming world are decreasing. (Figure source: NOAA NCDC based on data updated from Kennedy et al. 201025578196-95d0-4ac7-b889-0e863985423d).' chapter_identifier: executive-summary create_dt: ~ href: https://data.globalchange.gov/report/nca3/chapter/executive-summary/figure/overview-ten-indicators-of-a-warming-world.yaml identifier: overview-ten-indicators-of-a-warming-world lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: nca3 source_citation: 'NOAA NCDC based on data updated from Kennedy et al. 201025578196-95d0-4ac7-b889-0e863985423d' submission_dt: ~ time_end: ~ time_start: ~ title: Ten Indicators of a Warming World uri: /report/nca3/chapter/executive-summary/figure/overview-ten-indicators-of-a-warming-world url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: "Major GHGs include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), trichlorofluoromethane (CFC11), and dichlorodifluoromethane\r\n(CFC12). The 15 minor GHGs include CFC-113; CCl4; CH3CCl3; HCFCs 22, 141b, and 142b; HFCs 134a,\r\n152a, 23, 143a, and 125; SF6; and halons 1211, 1301, and 2402. Radiative forcing calculations, in watts (W) per m2,\r\nare based on measurements of GHGs in air trapped in snow and ice in Antarctica and Greenland prior to about 1980\r\nand atmospheric measurements taken since then. [Figure source: Redrawn from National Academies of Sciences,\r\nEngineering, and Medicine 2018.]" chapter_identifier: overview-of-the-global-carbon-cycle create_dt: 2018-07-12T16:56:55 href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/overview-of-the-global-carbon-cycle/figure/radiative-forcing--relative-to-1750--due-to-major-greenhouse-gases.yaml identifier: radiative-forcing--relative-to-1750--due-to-major-greenhouse-gases lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report source_citation: ~ submission_dt: 2019-02-14T16:23:32 time_end: ~ time_start: ~ title: Radiative Forcing (Relative to 1750) Due to Major Greenhouse Gases (GHGs) uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/overview-of-the-global-carbon-cycle/figure/radiative-forcing--relative-to-1750--due-to-major-greenhouse-gases url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: ~ chapter_identifier: introduction-land-use-land-cover-scenarios-uses create_dt: ~ href: https://data.globalchange.gov/report/usgcrp-need-options-subnational-scale-land-use-land-cover-scenarios-united-states/chapter/introduction-land-use-land-cover-scenarios-uses/figure/relationship-scenarios-ways-thinking-about-future.yaml identifier: relationship-scenarios-ways-thinking-about-future lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: usgcrp-need-options-subnational-scale-land-use-land-cover-scenarios-united-states source_citation: 'Carter, T. R., R. N. Jones, X. Lu, S. Bhadwal, C. Conde, L. O. Mearns, B. C. O’Neill, M. D. A. Rounsevell and M. B. Zurek, 2007: New Assessment Methods and the Characterisation of Future Conditions. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, M. L. Parry, O. F. Canziani, J. P. Palutikof, P. J. van der Linden and C. E. Hanson, Eds., Cambridge University Press, Cambridge, UK, 133-171' submission_dt: ~ time_end: ~ time_start: ~ title: Relationship of scenarios to other ways of thinking about the future uri: /report/usgcrp-need-options-subnational-scale-land-use-land-cover-scenarios-united-states/chapter/introduction-land-use-land-cover-scenarios-uses/figure/relationship-scenarios-ways-thinking-about-future url: https://www.ipcc.ch/pdf/assessment-report/ar4/wg2/ar4_wg2_full_report.pdf usage_limits: ~ - attributes: ~ caption: 'Increasing heavy rains are leading to more soil erosion and nutrient loss on midwestern cropland. Integrating strips of native prairie vegetation into row crops has been shown to reduce soil and nutrient loss while improving biodiversity. The inset shows a close-up example of a prairie vegetation strip. From Figure 21.2, Ch. 21: Midwest (Photo credits: [main photo] Lynn Betts; [inset] Farnaz Kordbacheh).' chapter_identifier: overview-executive-summary create_dt: 2018-05-01T12:33:24 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/prairie-strips.yaml identifier: prairie-strips lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 10 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:26 time_end: ~ time_start: ~ title: Prairie Strips uri: /report/nca4/chapter/overview-executive-summary/figure/prairie-strips url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'Soybeans in Texas experience the effects of drought in August 2013. During 2010–2015, a multiyear regional drought severely affected agriculture in the Southern Great Plains. One prominent impact was the reduction of irrigation water released for farmers on the Texas coastal plains. Photo credit: Bob Nichols, USDA.' chapter_identifier: overview-executive-summary create_dt: 2018-04-20T18:44:48 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/soybeans-impacted-by-drought-near-navasota--texas.yaml identifier: soybeans-impacted-by-drought-near-navasota--texas lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 11 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:26 time_end: ~ time_start: ~ title: Soybeans uri: /report/nca4/chapter/overview-executive-summary/figure/soybeans-impacted-by-drought-near-navasota--texas url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'Desalination activities in Texas are an important contributor to the state’s efforts to meet current and projected water needs for communities, industry, and agriculture. The state’s 2017 Water Plan recommended an expansion of desalination to help reduce longer-term risks to water supplies from drought, higher temperatures, and other stressors. There are currently 44 public water supply desalination plants in Texas. From Figure 23.8, Ch. 23: S. Great Plains (Source: adapted from Texas Water Development Board 2017).' chapter_identifier: overview-executive-summary create_dt: 2018-05-01T18:59:26 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/texas-desalination-plants-ch1.yaml identifier: texas-desalination-plants-ch1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 12 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:28 time_end: ~ time_start: ~ title: Texas Desalination Plants uri: /report/nca4/chapter/overview-executive-summary/figure/texas-desalination-plants-ch1 url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'Razor clamming draws crowds on the coast of Washington State. This popular recreation activity is expected to decline due to ocean acidification, harmful algal blooms, warmer temperatures, and habitat degradation. From Figure 24.7, Ch. 24: Northwest (Photo courtesy of Vera Trainer, NOAA).' chapter_identifier: overview-executive-summary create_dt: 2018-05-01T19:05:27 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/razor-clamming.yaml identifier: razor-clamming lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 13 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:29 time_end: ~ time_start: ~ title: Razor Clamming uri: /report/nca4/chapter/overview-executive-summary/figure/razor-clamming url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'The figure shows the years when severe coral bleaching is projected to occur annually in the Hawaiʻi and U.S.-Affiliated Pacific Islands region under a higher scenario (RCP8.5). Darker colors indicate earlier projected onset of coral bleaching. Under projected warming of approximately 0.5°F per decade, all nearshore coral reefs in the region will experience annual bleaching before 2050. From Figure 27.10, Ch. 27: Hawai‘i & Pacific Islands (Source: NOAA).' chapter_identifier: overview-executive-summary create_dt: 2018-04-20T16:19:08 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/overview_severe-coral-bleaching_v4.yaml identifier: overview_severe-coral-bleaching_v4 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 14 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:30 time_end: ~ time_start: ~ title: Overview_severe coral bleaching_v4 uri: /report/nca4/chapter/overview-executive-summary/figure/overview_severe-coral-bleaching_v4 url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'Examples of coral farming in the U.S. Caribbean and Florida demonstrate different types of structures used for growing fragments from branching corals. Coral farming is a strategy meant to improve the reef community and ecosystem function, including for fish species. The U.S. Caribbean Islands, Florida, Hawai‘i, and the U.S.-Affiliated Pacific Islands face similar threats from coral bleaching and mortality due to warming ocean surface waters and ocean acidification. Degradation of coral reefs is expected to negatively affect fisheries and the economies that depend on them as habitat is lost in both regions. While coral farming may provide some targeted recovery, current knowledge and efforts are not nearly advanced enough to compensate for projected losses from bleaching and acidification. From Figure 20.11, Ch. 20: U.S. Caribbean (Photo credits: [top left] Carlos Pacheco, U.S. Fish and Wildlife Service; [bottom left] NOAA; [right] Florida Fish and Wildlife).' chapter_identifier: overview-executive-summary create_dt: 2018-05-01T19:10:41 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/promoting-reef-recovery.yaml identifier: promoting-reef-recovery lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 15 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:31 time_end: ~ time_start: ~ title: Promoting Reef Recovery uri: /report/nca4/chapter/overview-executive-summary/figure/promoting-reef-recovery url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: '(left) The chart shows the average annual number of days above 100°F in Phoenix, Arizona, for 1976–2005, and projections of the average number of days per year above 100°F through the end of the 21st century (2070–2099) under the lower (RCP4.5) and higher (RCP8.5) scenarios. Dashed lines represent the 5th–95th percentile range of annual observed values. Solid lines represent the 5th–95th percentile range of projected model values. (right) The map shows hydration stations and cooling refuges (cooled indoor locations that provide water and refuge from the heat during the day) in Phoenix in August 2017. Such response measures for high heat events are expected to be needed at greater scales in the coming years if the adverse health effects of more frequent and severe heat waves are to be minimized. Sources: (left) NOAA NCEI, CICS-NC, and LMI; (right) adapted from Southwest Cities Heat Refuges (a project by Arizona State University’s Resilient Infrastructure Lab), available [here](http://www.coolme.today/#phoenix). Data provided by Andrew Fraser and Mikhail Chester, Arizona State University.' chapter_identifier: overview-executive-summary create_dt: 2018-04-20T18:58:12 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/impacts-and-actions-due-to-heat-in-phoenix--arizona.yaml identifier: impacts-and-actions-due-to-heat-in-phoenix--arizona lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 16 report_identifier: nca4 source_citation: ~ submission_dt: 2018-12-03T19:06:38 time_end: ~ time_start: ~ title: 'Projected Change in Very Hot Days by 2100 in Phoenix, Arizona' uri: /report/nca4/chapter/overview-executive-summary/figure/impacts-and-actions-due-to-heat-in-phoenix--arizona url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: '(left) A federal grant is being used to relocate the tribal community of Isle de Jean Charles, Louisiana, in response to severe land loss, sea level rise, and coastal flooding. From Figure 15.3, Ch. 15: Tribes (Photo credit: Ronald Stine). (right) As part of the resettlement of the tribal community of Isle de Jean Charles, residents are working with the Lowlander Center and the State of Louisiana to finalize a plan that reflects the desires of the community. From Figure 15.4, Ch. 15: Tribes (Photo provided by Louisiana Office of Community Development).' chapter_identifier: overview-executive-summary create_dt: 2018-04-23T19:45:54 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/isle-de-jean-charles-community-relocation.yaml identifier: isle-de-jean-charles-community-relocation lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 17 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:33 time_end: ~ time_start: ~ title: Isle de Jean Charles Community Relocation uri: /report/nca4/chapter/overview-executive-summary/figure/isle-de-jean-charles-community-relocation url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "A rock revetment was installed in the Alaska Native Village of Kivalina in 2010 to reduce increasing risks from erosion. A new rock revetment wall has a projected lifespan of 15 to 20 years. From Figure 15.3, Ch. 15: Tribes (Photo credit: ShoreZone. Creative Commons License CC BY 3.0). The inset shows a close-up of the rock wall in 2011. Photo credit: U.S. Army Corps of Engineers–Alaska District." chapter_identifier: overview-executive-summary create_dt: 2018-05-01T12:48:24 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/adaptation-measures-in-kivalina--ak.yaml identifier: adaptation-measures-in-kivalina--ak lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 18 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-27T16:10:35 time_end: ~ time_start: ~ title: 'Adaptation Measures in Kivalina, AK' uri: /report/nca4/chapter/overview-executive-summary/figure/adaptation-measures-in-kivalina--ak url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: '(a) The map shows the number of mitigation-related activities at the state level (out of 30 illustrative activities) as well as cities supporting emissions reductions; (b) the chart depicts the type and number of activities by state. Several territories also have a variety of mitigation-related activities, including American Sāmoa, the Federated States of Micronesia, Guam, Northern Mariana Islands, Puerto Rico, and the U.S. Virgin Islands. From Figure 29.1, Ch. 29: Mitigation (Sources: [a] EPA and ERT, Inc. [b] adapted from America’s Pledge 2017).' chapter_identifier: overview-executive-summary create_dt: 2017-10-27T19:56:48 href: https://data.globalchange.gov/report/nca4/chapter/overview-executive-summary/figure/state_and_local_mitigation_and_clean_energy_policies.yaml identifier: state_and_local_mitigation_and_clean_energy_policies lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 19 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-29T16:12:51 time_end: ~ time_start: ~ title: Mitigation-Related Activities at State and Local Levels uri: /report/nca4/chapter/overview-executive-summary/figure/state_and_local_mitigation_and_clean_energy_policies url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information