--- - attributes: ~ caption: ~ chapter_identifier: kansas create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-observed-summer-precipitation.yaml identifier: ks-observed-summer-precipitation lat_max: 40.0033 lat_min: 36.9929 lon_max: -102.0518 lon_min: -94.5886 ordinal: 3d-2 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2014-12-31T00:00:00 time_start: 1895-01-01T00:00:00 title: Observed Summer Precipitaton uri: /report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-observed-summer-precipitation url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Predictions of coastal erosion prior to Sandy’s arrival provided the region’s residents and decision-makers with advance warning of potential vulnerability. The map shows three bands: collision of waves with beaches causing erosion on the front of the beach; overwash that occurs when water reaches over the highest point and erodes from the rear, which carries sand inland; and inundation, when the shore is severely eroded and new channels can form that lead to permanent flooding. The probabilities are based on the storm striking at high tide. For New Jersey, the model estimated that 21% of the shoreline had more than a 90% chance of experiencing inundation. These projections were realized, and made the New Jersey coastline even more vulnerable to the nor’easter that followed Hurricane Sandy by only 10 days. (Figure source: ESRI and USGS 20122771337c-0ab9-46c1-b7d8-1d03a02270c1).' chapter_identifier: northeast create_dt: 2012-10-29T00:00:00 href: https://data.globalchange.gov/report/nca3/chapter/northeast/figure/coastal-flooding-along-new-jerseys-shore.yaml identifier: coastal-flooding-along-new-jerseys-shore lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 4 report_identifier: nca3 source_citation: 'ESRI and USGS 20122771337c-0ab9-46c1-b7d8-1d03a02270c1' submission_dt: ~ time_end: ~ time_start: ~ title: Coastal Flooding along New Jersey’s Shore uri: /report/nca3/chapter/northeast/figure/coastal-flooding-along-new-jerseys-shore url: http://nca2014.globalchange.gov/report/regions/northeast/graphics/coastal-flooding-along-new-jerseys-shore usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: ~ chapter_identifier: electricity-demand-and-supply create_dt: 2017-05-10T17:10:36 href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply/figure/figure-16-4.yaml identifier: figure-16-4 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 4 report_identifier: epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017 source_citation: ~ submission_dt: 2017-10-17T16:29:08 time_end: ~ time_start: ~ title: Change in National Electricity Generation by Technology Type uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/electricity-demand-and-supply/figure/figure-16-4 url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: |+2 The observed number of very cold nights (annual number of days with minimum temperature below 0°F) for 1900–2014, averaged over 5-year periods; these values are averages from 29 long-term reporting stations. Since 1990, Kansas has experienced a below normal number of extremely cold days, indicative of overall winter warming in the region. The dark horizontal line is the long-term average (1900–2014) of 4.8 days per year. Source: CICS-NC and NOAA NCEI. chapter_identifier: kansas create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-observed-number-of-very-cold-nights.yaml identifier: ks-observed-number-of-very-cold-nights lat_max: 40.0033 lat_min: 36.9929 lon_max: -102.0518 lon_min: -94.5886 ordinal: 4 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2014-12-31T00:00:00 time_start: 1900-01-01T00:00:00 title: Observed Number of Very Cold Nights uri: /report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-observed-number-of-very-cold-nights url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: "Shown here are examples of climate-related impacts spanning U.S. national borders. (left) The North American Drought Monitor map for June 2011 shows drought conditions along the US–Mexico border. Darker colors indicate greater intensity of drought (the letters A and H indicate agricultural and hydrological drought, respectively). (right) Smoke from Canadian wildfires in 2017 was detected by satellite sensors built to detect aerosols in the atmosphere. The darker orange areas indicate higher concentrations of smoke and hazy conditions moving south from British Columbia to the United States. Sources: (left) adapted from NOAA 2018,{{< tbib '114' 'f0f93d18-3dc9-4a1d-a41f-99ec7020b07e' >}} (right) adapted from NOAA 2018{{< tbib '115' '261fd2fd-96e9-4e5d-af1e-d8f578d7a876' >}})." chapter_identifier: north-american-and-other-international-effects create_dt: 2018-03-28T17:50:10 href: https://data.globalchange.gov/report/nca4/chapter/north-american-and-other-international-effects/figure/transboundary.yaml identifier: transboundary lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 4 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-23T14:59:11 time_end: ~ time_start: ~ title: Transboundary Climate-Related Impacts uri: /report/nca4/chapter/north-american-and-other-international-effects/figure/transboundary url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: |2 The observed number of days with extreme precipitation (annual number of days with precipitation greater than 3 inches) for 1900–2014, averaged over 5-year periods; these values are averages from 37 long-term reporting stations. In an average year, 40%–50% of stations will experience a day with 3 inches or more of precipitation. In the historical record, the largest number of heavy precipitation events occurred from 1995–1999, with an average of 0.69 events per year, followed by 2005–2009, with an average of 0.58 events annually. The dark horizontal line is the long-term average (1900–2014) of 0.44 days per year. Source: CICS-NC and NOAA NCEI. chapter_identifier: kansas create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-observed-number-of-extreme-precipitation-events.yaml identifier: ks-observed-number-of-extreme-precipitation-events lat_max: 40.0033 lat_min: 36.9929 lon_max: -102.0518 lon_min: -94.5886 ordinal: 5 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2014-12-31T00:00:00 time_start: 1899-12-31T00:00:00 title: Observed Number of Extreme Precipitation Events uri: /report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-observed-number-of-extreme-precipitation-events url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Surface temperatures in New York City on a summer’s day show the “urban heat island,” with temperatures in populous urban areas being approximately 10°F higher than the forested parts of Central Park. Dark blue reflects the colder waters of the Hudson and East Rivers. (Figure source: Center for Climate Systems Research, Columbia University).' chapter_identifier: northeast create_dt: ~ href: https://data.globalchange.gov/report/nca3/chapter/northeast/figure/urban-heat-island.yaml identifier: urban-heat-island lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 5 report_identifier: nca3 source_citation: 'Center for Climate Systems Research, Columbia University' submission_dt: ~ time_end: ~ time_start: ~ title: Urban Heat Island uri: /report/nca3/chapter/northeast/figure/urban-heat-island url: http://nca2014.globalchange.gov/highlights/regions/northeast/graphics/urban-heat-island usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: "Flooded subway tracks in Coney Island after Hurricane Irene. (Photo credit: Metropolitan Transportation\r\n Authority of the State of New York 2011)." chapter_identifier: northeast create_dt: 2013-11-20T17:59:54 href: https://data.globalchange.gov/report/nca3/chapter/northeast/figure/coney-island-after-hurricane-irene.yaml identifier: coney-island-after-hurricane-irene lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 6 report_identifier: nca3 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Coney Island after Hurricane Irene uri: /report/nca3/chapter/northeast/figure/coney-island-after-hurricane-irene url: http://nca2014.globalchange.gov/report/regions/northeast/graphics/coney-island-after-hurricane-irene usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: |2 Time series of the Palmer Drought Severity Index from the year 1000 to 2014. Values for 1895–2014 (red) are based on measured temperature and precipitation. Values prior to 1895 (blue) are estimated from indirect measures such as tree rings. The thick black line is a running 20-year average. In the modern era, the wet periods of the early 1900s and the dry period of the 1930s–1940s are evident. Despite occasional years of drought (2011–2012), Kansas has experienced overall wet conditions since the 1980s. The extended record indicates periodic occurrences of similar extended wet and dry periods. Source: CICS-NC and NOAA NCEI. chapter_identifier: kansas create_dt: 2015-06-05T02:21:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kansas/figure/kansas-palmer-drought-severity-index.yaml identifier: kansas-palmer-drought-severity-index lat_max: 40.0033 lat_min: 36.9929 lon_max: -102.0518 lon_min: -94.5886 ordinal: 6 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2013-12-31T00:00:00 time_start: 1000-01-01T00:00:00 title: Kansas Palmer Drought Severity Index uri: /report/noaa-led-state-summaries-2017/chapter/kansas/figure/kansas-palmer-drought-severity-index url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'The Nature Conservancy’s adaptation decision-support tool (www.coastalresilience.org)b1a2614f-8ace-49a0-8613-ea30d7fb6f28 depicts building-level impacts due to inundation (developed land cover, yellow areas) and potential marsh advancement zones (undeveloped land cover – currently forest, grass, and agriculture – blue areas) using downscaled sea level rise projections (52 inches by 2080s depicted) along the Connecticut and New York coasts. (Figure source: Ferdaña et al. 2010,417521de-541f-44bd-8747-ac306ede3d83 Beck et al. 20133f303a73-89f9-4835-a164-7a141536e932).' chapter_identifier: northeast create_dt: ~ href: https://data.globalchange.gov/report/nca3/chapter/northeast/figure/connecticut-coastline-and-expanding-salt-marshes.yaml identifier: connecticut-coastline-and-expanding-salt-marshes lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 7 report_identifier: nca3 source_citation: 'Ferdaña et al. 2010, Beck et al. 20133f303a73-89f9-4835-a164-7a141536e932,417521de-541f-44bd-8747-ac306ede3d83' submission_dt: ~ time_end: ~ time_start: ~ title: Connecticut Coastline and Expanding Salt Marshes uri: /report/nca3/chapter/northeast/figure/connecticut-coastline-and-expanding-salt-marshes url: http://nca2014.globalchange.gov/report/regions/northeast/graphics/connecticut-coastline-and-expanding-salt-marshes usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: |2 Projected change in summer precipitation (%) for the middle of the 21st century compared to the late 20th century under a higher emissions pathway. Hatching represents areas where the majority of climate models indicate a statistically significant change. Summer precipitation is projected to decrease in the range of 5%–10% by 2050, although the changes are statistically significant only in the central part of the state. Source: CICS-NC, NOAA NCEI, and NEMAC. chapter_identifier: kansas create_dt: 2015-02-04T11:17:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-projected-change-in-summer-precipitation.yaml identifier: ks-projected-change-in-summer-precipitation lat_max: 49.38 lat_min: 24.5 lon_max: -66.95 lon_min: -124.8 ordinal: 7 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2070-12-31T00:00:00 time_start: 1971-01-01T00:00:00 title: Projected Change in Summer Precipitation uri: /report/noaa-led-state-summaries-2017/chapter/kansas/figure/ks-projected-change-in-summer-precipitation url: ~ usage_limits: ~ - attributes: ~ caption: 'Conceptual design of a storm surge barrier in New York City. (Figure source: Jansen and Dircke 2009).' chapter_identifier: northeast create_dt: 2013-11-14T16:42:45 href: https://data.globalchange.gov/report/nca3/chapter/northeast/figure/storm-surge-barrier.yaml identifier: storm-surge-barrier lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 8 report_identifier: nca3 source_citation: Jansen and Dircke 2009 submission_dt: ~ time_end: ~ time_start: ~ title: Storm Surge Barrier uri: /report/nca3/chapter/northeast/figure/storm-surge-barrier url: http://nca2014.globalchange.gov/report/regions/northeast/graphics/storm-surge-barrier usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'This map summarizes the number of times each state has been affected by weather and climate events over the past 30 years that have resulted in more than a billion dollars in damages. The Southeast has been affected by more billion-dollar disasters than any other region. The primary disaster type for coastal states such as Florida is hurricanes, while interior and northern states in the region also experience sizeable numbers of tornadoes and winter storms. For a list of events and the affected states, see: http://www.ncdc.noaa.gov/billions/events.f1b38f7f-f75c-4d2f-83a9-d27269e17e5e (Figure source: NOAA NCDC).' chapter_identifier: southeast create_dt: 2014-04-03T16:04:00 href: https://data.globalchange.gov/report/nca3/chapter/southeast/figure/billion-dollar-weatherclimate-disasters.yaml identifier: billion-dollar-weatherclimate-disasters lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: nca3 source_citation: NOAA NCDC submission_dt: ~ time_end: ~ time_start: ~ title: Billion Dollar Weather/Climate Disasters uri: /report/nca3/chapter/southeast/figure/billion-dollar-weatherclimate-disasters url: http://nca2014.globalchange.gov/highlights/regions/southeast/graphics/billion-dollar-weatherclimate-disasters-1980-2012 usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Sectors are interacting and interdependent through physical, social, institutional, environmental, and economic linkages. These sectors and the interactions among them are affected by a range of climate-related and non-climate influences. Sources: Pacific Northwest National Laboratory, Arizona State University, and Cornell University.' chapter_identifier: sectoral-interdependencies-and-compounding-stressors create_dt: 2018-03-27T23:30:14 href: https://data.globalchange.gov/report/nca4/chapter/sectoral-interdependencies-and-compounding-stressors/figure/complex-sectoral-interactions.yaml identifier: complex-sectoral-interactions lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-30T20:54:38 time_end: ~ time_start: ~ title: Complex Sectoral Interactions uri: /report/nca4/chapter/sectoral-interdependencies-and-compounding-stressors/figure/complex-sectoral-interactions url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: |+2 Observed and projected changes (compared to the 1901–1960 average) in near-surface air temperature for Kentucky. 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 Kentucky (orange lines) were highest in the 1930s, and lowest in the 1960s through the 1980s. Temperatures have risen about 2°F since the 1960s, but have not exceeded the levels of the 1930s. Shading indicates the range of annual temperatures from the set of models. Observed temperatures are generally within, but on the lower end of, the envelope of model simulations of the historical period (gray shading). Historically unprecedented warming is projected during the 21st century. Less warming is expected under a lower emissions future (the coldest years being about as warm as the hottest year in the historical record; green shading) and more warming under a higher emissions future (the hottest years being about 11°F warmer than the hottest year in the historical record; red shading). Source: CICS-NC and NOAA NCEI. chapter_identifier: kentucky create_dt: 2015-08-12T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kentucky/figure/ky-observed-and-projected-temperature-change.yaml identifier: ky-observed-and-projected-temperature-change lat_max: 39.1481 lat_min: 36.4968 lon_max: -89.4168 lon_min: -81.9650 ordinal: 1 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ 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/kentucky/figure/ky-observed-and-projected-temperature-change url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: ~ chapter_identifier: flooding-damages create_dt: 2017-05-10T17:18:11 href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/number-of-100-year-floods-.yaml identifier: number-of-100-year-floods- 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: 2017-10-05T15:40:20 time_end: ~ time_start: ~ title: Number of 100-Year Floods uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/number-of-100-year-floods- url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: "Ground-level ozone is an air pollutant that is harmful to human health and which\r\n generally increases with rising temperatures. The map shows projected\r\n changes in average annualground level\r\n ozone pollution concentration in 2050 as compared to 2001, using a mid-range emissions scenario (A1B, which assumes gradual\r\n reductions from current emissions trends beginning around mid-century). (Figure source: adapted from Tagaris et al.\r\n 2009c275ae44-75e4-4974-81ea-fe7119474ffb)." chapter_identifier: southeast create_dt: 2014-02-21T11:01:01 href: https://data.globalchange.gov/report/nca3/chapter/southeast/figure/groundlevel-ozone.yaml identifier: groundlevel-ozone lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 10 report_identifier: nca3 source_citation: 'adapted from Tagaris et al. 2009c275ae44-75e4-4974-81ea-fe7119474ffb' submission_dt: ~ time_end: ~ time_start: ~ title: Ground-level Ozone uri: /report/nca3/chapter/southeast/figure/groundlevel-ozone url: http://nca2014.globalchange.gov/report/regions/southeast/graphics/ground-level-ozone usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: "Left: Projected trend in Southeast-wide annual water yield (equivalent to water availability) due to climate\r\n change. The green area represents the range in predicted water yield from four climate model projections based on the A1B and\r\n B2 emissions scenarios. Right: Spatial pattern of change in water yield for 2010-2060 (decadal trend relative to 2010).\r\n The hatched areas are those where the predicted negative trend in water\r\n availability associated with the range of climate scenarios is statistically significant (with 95% confidence).\r\n As shown on the map, the western part of the Southeast region is expected to see the largest reductions in water\r\n availability. (Figure source: adapted from Sun et al. 2013ea3445e7-7601-48c1-9a36-bbd7befc0964)." chapter_identifier: southeast create_dt: 2013-11-18T16:23:00 href: https://data.globalchange.gov/report/nca3/chapter/southeast/figure/trends-in-water-availability.yaml identifier: trends-in-water-availability lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 11 report_identifier: nca3 source_citation: 'adapted from Sun et al. 2013 ea3445e7-7601-48c1-9a36-bbd7befc0964' submission_dt: ~ time_end: ~ time_start: ~ title: Trends in Water Availability uri: /report/nca3/chapter/southeast/figure/trends-in-water-availability url: http://nca2014.globalchange.gov/report/regions/southeast/graphics/trends-water-availability usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: "The Apalachicola-Chattahoochee-Flint River Basin in Georgia exemplifies a place where many water uses are in\r\n conflict, and future climate change is expected to exacerbate this\r\n conflict.47f6b2ff-a48f-4b48-899d-a901424bf5b2 The basin drains 19,600 square miles in\r\n three states and supplies water for multiple, often competing, uses, including irrigation, drinking water and other municipal\r\n uses, power plant cooling, navigation, hydropower, recreation, and ecosystems. Under future climate change, this basin is\r\n likely to experience more severe water supply shortages, more frequent emptying of reservoirs, violation of environmental flow\r\n requirements (with possible impacts to fisheries at the mouth of the Apalachicola), less energy\r\n generation, and more competition for remaining water. Adaptation options include changes in reservoir storage and release\r\n procedures and possible phased expansion of reservoir\r\n capacity.47f6b2ff-a48f-4b48-899d-a901424bf5b2,7259bc2b-d0aa-460b-b37a-79a11a386e00,412047fe-33cf-49b8-b714-f1a7b096cd43\r\n Additional adaptation options could include water conservation and demand management. (Figure source:\r\n Georgakakos et al. 201047f6b2ff-a48f-4b48-899d-a901424bf5b2)." chapter_identifier: southeast create_dt: 2013-11-18T16:25:00 href: https://data.globalchange.gov/report/nca3/chapter/southeast/figure/a-southeast-river-basin-under-stress.yaml identifier: a-southeast-river-basin-under-stress lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 12 report_identifier: nca3 source_citation: 'Georgakakos et al. 201047f6b2ff-a48f-4b48-899d-a901424bf5b2' submission_dt: ~ time_end: ~ time_start: ~ title: A Southeast River Basin Under Stress uri: /report/nca3/chapter/southeast/figure/a-southeast-river-basin-under-stress url: http://nca2014.globalchange.gov/report/regions/southeast/graphics/southeast-river-basin-under-stress usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Hurricane Harvey led to widespread flooding and knocked out power to 300,000 customers in Texas in 2017, with cascading effects on critical infrastructure facilities such as hospitals, water and wastewater treatment plants, and refineries. The photo shows Port Arthur, Texas, on August 31, 2017—six days after Hurricane Harvey made landfall along the Gulf Coast. Photo credit: Staff Sgt. Daniel J. Martinez, U.S. Air National Guard.' chapter_identifier: sectoral-interdependencies-and-compounding-stressors create_dt: 2018-04-03T15:40:01 href: https://data.globalchange.gov/report/nca4/chapter/sectoral-interdependencies-and-compounding-stressors/figure/hurricane-harvey-flooding.yaml identifier: hurricane-harvey-flooding lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-30T20:54:39 time_end: ~ time_start: ~ title: Hurricane Harvey Flooding uri: /report/nca4/chapter/sectoral-interdependencies-and-compounding-stressors/figure/hurricane-harvey-flooding url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: ~ chapter_identifier: flooding-damages create_dt: 2017-05-10T17:18:28 href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/projected-national-flood-damages-within-100-year-flood-zones.yaml identifier: projected-national-flood-damages-within-100-year-flood-zones lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017 source_citation: ~ submission_dt: 2017-10-05T15:41:32 time_end: ~ time_start: ~ title: Projected National Flood Damages within 100-Year Flood Zones uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/flooding-damages/figure/projected-national-flood-damages-within-100-year-flood-zones url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: 'Aerial photos of Isle de Jean Charles in Louisiana taken 45 years apart shows evidence of the effects of rising seas, sinking land, and human development. The wetlands adjacent to the Isle de Jean Charles community (about 60 miles south of New Orleans) have been disappearing rapidly since the photo on the left was taken in 1963. By 2008, after four major hurricanes, significant erosion, and alteration of the surrounding marsh for oil and gas extraction, open water surrounds the greatly reduced dry land. See Ch. 25: Coasts for more information. (Photo credit: USGS).' chapter_identifier: southeast create_dt: 2013-11-18T14:17:00 href: https://data.globalchange.gov/report/nca3/chapter/southeast/figure/shrinking-lands-for-tribal-communities.yaml identifier: shrinking-lands-for-tribal-communities lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: nca3 source_citation: ~ submission_dt: ~ time_end: ~ time_start: ~ title: Shrinking Lands for Tribal Communities uri: /report/nca3/chapter/southeast/figure/shrinking-lands-for-tribal-communities url: http://nca2014.globalchange.gov/report/regions/southeast/graphics/shrinking-lands-tribal-communities usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: ~ chapter_identifier: kentucky create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kentucky/figure/ky-observed-number-of-extremely-hot-days.yaml identifier: ky-observed-number-of-extremely-hot-days lat_max: 39.1481 lat_min: 36.4968 lon_max: -89.4168 lon_min: -81.9650 ordinal: 2a report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2014-12-31T00:00:00 time_start: 1900-01-01T00:00:00 title: Observed Number of Extremely Hot Days uri: /report/noaa-led-state-summaries-2017/chapter/kentucky/figure/ky-observed-number-of-extremely-hot-days url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: ~ chapter_identifier: kentucky create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/kentucky/figure/ky-observed-winter-temperature.yaml identifier: ky-observed-winter-temperature lat_max: 39.1481 lat_min: 36.4968 lon_max: -89.4168 lon_min: -81.9650 ordinal: 2b-a report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2009-12-31T00:00:00 time_start: 1895-01-01T00:00:00 title: Observed Winter Temperature uri: /report/noaa-led-state-summaries-2017/chapter/kentucky/figure/ky-observed-winter-temperature url: ~ usage_limits: Free to use with credit to the original figure source.