--- - attributes: ~ caption: 'With heavy downpours increasing nationally, urban areas experience costly impacts. (top) In cities with combined sewer systems, storm water runoff flows into pipes containing sewage from homes and industrial wastewater. Intense rainfall can overwhelm the system so untreated wastewater overflows into rivers. Overflows are a water pollution concern and increase risk of exposure to waterborne diseases. (bottom) Intense rainfall can also result in localized flooding. Closed roads and disrupted mass transit prevent residents from going to work or school and first responders from reaching those in need. Home and commercial property owners may need to make costly repairs, and businesses may lose revenue. Source: EPA.' chapter_identifier: built-environment-urban-systems-and-cities create_dt: 2017-08-02T15:02:54 href: https://data.globalchange.gov/report/nca4/chapter/built-environment-urban-systems-and-cities/figure/cascading-consequences-of-heavy-rainfall-for-urban-systems.yaml identifier: cascading-consequences-of-heavy-rainfall-for-urban-systems lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 6 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-30T15:28:00 time_end: ~ time_start: ~ title: Cascading Consequences of Heavy Rainfall for Urban Systems uri: /report/nca4/chapter/built-environment-urban-systems-and-cities/figure/cascading-consequences-of-heavy-rainfall-for-urban-systems url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "Carbon in suborders Histel,\r\nTurbel, and Orthel of Gelisol (permafrost-affected soils) is shown distributed by depth and horizon type. Purple colors\r\nindicate organic horizons (>20% carbon) with less (fibrous) or more (amorphous) decomposition. Cryoturbation\r\n(freeze-thaw mixing) brings relatively carbon-rich material from the surface deeper into the soil profile. Soil horizons at\r\ndepth can show evidence of periodically waterlogged (oxygen-limited) conditions (gleyed), or not (nongleyed). [Figure\r\nsource: Redrawn from Harden et al., 2012, used with permission.]" chapter_identifier: arctic-and-boreal-carbon create_dt: 2018-02-05T21:55:04 href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/arctic-and-boreal-carbon/figure/fig--11-6.yaml identifier: fig--11-6 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 6 report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report source_citation: ~ submission_dt: 2019-03-15T13:32:15 time_end: ~ time_start: ~ title: Soil Carbon Distribution in Major Suborders of the Gelisol Soil Order uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/arctic-and-boreal-carbon/figure/fig--11-6 url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "(a) The SOC pool in kg of carbon per m2 contained in the interval\r\nof 0 to 3 m in depth of the northern circumpolar permafrost zone. Black dots show field site locations for carbon\r\ninventory measurements of 0 to 3 m. (b) Deep permafrost carbon pools (>3 m), including the location of major permafrost-affected river deltas (green triangles); extent of the yedoma region previously used to estimate the carbon\r\ncontent of these deposits (yellow); current extent of yedoma-region soils largely unaffected by thaw-lake cycles that\r\nalter original carbon content (red); and extent of thick sediments overlying bedrock (black hashed). Yedoma regions\r\ngenerally are also thick sediments. The base map layer shows permafrost distribution with continuous regions to the\r\nnorth having permafrost everywhere (>90%, purple shading) and discontinuous regions further south having permafrost in some, but not all, locations (<90%, pink shading). [Figure source: Reprinted from Schuur et al., 2015, copyright Macmillan Publishers Ltd, used with permission.]" chapter_identifier: arctic-and-boreal-carbon create_dt: 2018-02-05T21:58:09 href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/arctic-and-boreal-carbon/figure/fig--11-7.yaml identifier: fig--11-7 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 7 report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report source_citation: ~ submission_dt: 2019-03-15T13:32:20 time_end: ~ time_start: ~ title: Soil Organic (SOC) Carbon Maps uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/arctic-and-boreal-carbon/figure/fig--11-7 url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'Protecting vulnerable people and places from the impacts of climate change involves infrastructure design (for example, green space and highly reflective roofing), along with social and institutional change (such as designating cooling centers). Social equity is supported by widespread participation in adaptation decision-making by non-profit organizations, local businesses, vulnerable populations, school districts, city governments, utility providers, and others. Source: EPA.' chapter_identifier: built-environment-urban-systems-and-cities create_dt: 2017-08-02T14:13:10 href: https://data.globalchange.gov/report/nca4/chapter/built-environment-urban-systems-and-cities/figure/the-bee-branch-greenway.yaml identifier: the-bee-branch-greenway lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 7 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-30T15:28:03 time_end: ~ time_start: ~ title: Urban Adaptation Strategies and Stakeholders uri: /report/nca4/chapter/built-environment-urban-systems-and-cities/figure/the-bee-branch-greenway url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "Cumulative area burned is modeled for the historical (1950 to 2009) and projected (2010 to 2100) periods for the\r\nUpper Tanana Hydrological Basin in interior Alaska near Fairbanks. Model results are presented for scenarios of fire\r\nmanagement plan options (FMPO) driven by two Earth System Models: Meteorological Research Institute Coupled\r\nGlobal Climate Model version 3 (MRI-CGCM3) and National Center for Atmospheric Research Community Climate\r\nSystem Model version 4 (NCAR-CCSM4) using the Representative Concentration Pathway (RCP) 8.5 “businessas-\r\nusual” emissions scenario. Data presented are means, and shading indicates results from 200 model replicates;\r\nblack dashed line is the actual fire record through 2010. [Figure source: Redrawn from Breen et al., 2016; Schuur et\r\nal., 2016, used with permission.]" chapter_identifier: arctic-and-boreal-carbon create_dt: 2018-02-05T22:02:06 href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/arctic-and-boreal-carbon/figure/fig--11-8.yaml identifier: fig--11-8 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 8 report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report source_citation: ~ submission_dt: 2019-02-11T16:55:26 time_end: ~ time_start: ~ title: The Effects of Two Climate Scenarios and Two Management Scenarios for a Subregion of Alaska uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/arctic-and-boreal-carbon/figure/fig--11-8 url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "In response to a history of flooding, Dubuque, Iowa, installed the Bee Branch Creek Greenway to control flooding and provide recreational space.{{< tbib '138' '99f11503-c2c3-4ec5-825c-c6ed59d28613' >}} Photo credit: City of Dubuque, Iowa." chapter_identifier: built-environment-urban-systems-and-cities create_dt: 2018-04-03T20:10:20 href: https://data.globalchange.gov/report/nca4/chapter/built-environment-urban-systems-and-cities/figure/green-infrastructure-photo.yaml identifier: green-infrastructure-photo lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 8 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-30T15:28:05 time_end: ~ time_start: ~ title: 'Greenway in Dubuque, Iowa' uri: /report/nca4/chapter/built-environment-urban-systems-and-cities/figure/green-infrastructure-photo url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: ~ chapter_identifier: hawaii create_dt: 2019-06-06T16:50:54 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/hawaii/figure/projected-change-in-annual-precipitation-hi.yaml identifier: projected-change-in-annual-precipitation-hi lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 8 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: 2019-06-11T11:46:28 time_end: ~ time_start: ~ title: Projected Change in Annual Precipitation uri: /report/noaa-led-state-summaries-2017/chapter/hawaii/figure/projected-change-in-annual-precipitation-hi url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: |+2 Estimated, observed, and possible future amounts of global sea level rise from 1800 to 2100, relative to the year 2000. The orange line at right shows the most likely range of 1 to 4 feet by 2100 based on an assessment of scientific studies, which falls within a larger possible range of 0.66 feet to 6.6 feet. Source: Melillo et al. 2014 and Parris et al. 2012. chapter_identifier: hawaii create_dt: 2013-11-15T14:51:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/hawaii/figure/hi-past-and-projected-changes-in-global-sea-level.yaml identifier: hi-past-and-projected-changes-in-global-sea-level lat_max: 90 lat_min: -90 lon_max: 180 lon_min: -180 ordinal: 9 report_identifier: noaa-led-state-summaries-2017 source_citation: ~ submission_dt: ~ time_end: 2100-12-31T00:00:00 time_start: 1800-01-01T00:00:00 title: Past and Projected Changes in Global Sea Level uri: /report/noaa-led-state-summaries-2017/chapter/hawaii/figure/hi-past-and-projected-changes-in-global-sea-level url: ~ usage_limits: ~ - attributes: ~ caption: ~ chapter_identifier: rail create_dt: 2017-05-10T15:39:19 href: https://data.globalchange.gov/report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/rail/figure/figure-12-1.yaml identifier: figure-12-1 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: 2017-09-26T21:12:55 time_end: ~ time_start: ~ title: Average Annual Reactive Adaptation Costs to the U.S. Rail Network uri: /report/epa-multi-model-framework-for-quantitative-sectoral-impacts-analysis-2017/chapter/rail/figure/figure-12-1 url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: '(a–d) Static-equilibrium fingerprints of the relative sea level (RSL) effect of land ice melt, in units of feet of RSL change per feet of global mean sea level (GMSL) change, for mass loss from (a) Greenland, (b) West Antarctica, (c) East Antarctica, and (d) the median projected combination of melting glaciers, after Kopp et al.e8f60819-839e-4772-8a49-7c57d9c53424 ,38924fa0-a0dd-44c9-a2a0-366ca610b280 (e) Model projections of the rate of RSL rise due to glacial-isostatic adjustment (units of feet/century), after Kopp et al.e8f60819-839e-4772-8a49-7c57d9c53424 (f) Tide gauge-based estimates of the non-climatic, long term contribution to RSL rise, including the effects of glacial isostatic adjustment, tectonics, and sediment compaction (units of feet/century).38924fa0-a0dd-44c9-a2a0-366ca610b280 (Figure source: (a)–(d) Kopp et al. 2015,e8f60819-839e-4772-8a49-7c57d9c53424 (e) adapted from Kopp et al. 2015;e8f60819-839e-4772-8a49-7c57d9c53424 (f) adapted from Sweet et al. 2017c66bf5a9-a6d7-4043-ad99-db0ae6ae562c ).' chapter_identifier: sea-level-rise create_dt: 2016-09-13T20:26:38 href: https://data.globalchange.gov/report/climate-science-special-report/chapter/sea-level-rise/figure/figure-12-1_combined.yaml identifier: figure-12-1_combined lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: climate-science-special-report source_citation: ~ submission_dt: 2017-10-13T18:23:14 time_end: ~ time_start: ~ title: relative sea level uri: /report/climate-science-special-report/chapter/sea-level-rise/figure/figure-12-1_combined url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: |+2 Observed and projected changes (compared to the 1901-1960 average) in near-surface air temperature for Idaho. 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 Idaho (orange line) have risen by about 1.5°F since the beginning of the 20th century. Shading indicates the range of annual temperatures from the set of models. Observed temperatures are generally within 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 12°F warmer than the hottest year in the historical record; red shading). Source: CICS-NC and NOAA NCEI. chapter_identifier: idaho create_dt: 2015-08-12T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/idaho/figure/id-observed-and-projected-temperature-change.yaml identifier: id-observed-and-projected-temperature-change lat_max: 49.0009 lat_min: 41.9880 lon_max: -117.2431 lon_min: -111.0434 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/idaho/figure/id-observed-and-projected-temperature-change url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'Census data show that American Indian and Alaska Native populations are concentrated around, but are not limited to, reservation lands like the Hopi and Navajo in Arizona and New Mexico, the Choctaw, Chickasaw, and Cherokee in Oklahoma, and various Sioux tribes in the Dakotas and Montana. Not depicted in this graphic is the proportion of Native Americans who live off-reservation and in and around urban centers (such as Chicago, Minneapolis, Denver, Albuquerque, and Los Angeles) yet still maintain strong family ties to their tribes, tribal lands, and cultural resources. (Figure source: Norris et al. 201201f614e1-f014-44fa-95ba-82421990ec9b).' chapter_identifier: tribal-indigenous-native-lands-resources create_dt: 2013-10-24T13:25:00 href: https://data.globalchange.gov/report/nca3/chapter/tribal-indigenous-native-lands-resources/figure/indigenous-populations-extend-beyond-reservation-lands.yaml identifier: indigenous-populations-extend-beyond-reservation-lands lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: nca3 source_citation: 'Norris et al. 201201f614e1-f014-44fa-95ba-82421990ec9b' submission_dt: ~ time_end: ~ time_start: ~ title: Indigenous Populations Extend beyond Reservation Lands uri: /report/nca3/chapter/tribal-indigenous-native-lands-resources/figure/indigenous-populations-extend-beyond-reservation-lands url: http://nca2014.globalchange.gov/report/sectors/indigenous-peoples/graphics/indigenous-populations-extend-beyond-reservation-lands usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: "A variety of soil animals\r\nand microbes can process plant litter that contributes to a pool of unprotected particulate organic matter (OM) with a\r\nrelatively short turnover time. Alternatively, soil microbes also can process this litter into more stabilized forms such\r\nas aggregates or mineral-protected OM with relatively long turnover times. In this carbon pool, belowground litter\r\nappears to be preferentially stabilized, partly because of its proximity to both microbes and minerals. Root exudates\r\nmay contribute to microbial carbon pools or to priming (i.e., the loss of mineral-protected soil carbon). Respiratory\r\nlosses—occurring at all stages of biotic processing—can be affected by microbial carbon use efficiency and by conditions in the natural environment or those arising from land use. Not only can land use significantly affect both the\r\nquality and quantity of plant residues delivered to soils and their processing, it also can affect erosional losses and\r\ndeposition. Climate change, especially in northern latitudes, may cause significant losses of soil carbon. (Key: CO2,\r\ncarbon dioxide; CH4, methane.)" chapter_identifier: soils create_dt: 2018-02-06T17:03:10 href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/soils/figure/processes-involved-in-controlling-fluxes-and-stabilization-of-soil-carbon.yaml identifier: processes-involved-in-controlling-fluxes-and-stabilization-of-soil-carbon 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: 2019-02-11T16:52:17 time_end: ~ time_start: ~ title: Processes Involved in Controlling Fluxes and Stabilization of Soil Carbon uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/soils/figure/processes-involved-in-controlling-fluxes-and-stabilization-of-soil-carbon url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "Heavy precipitation, coastal flooding, heat, and changes in average precipitation and temperature affect assets (such as roads and bridges) across all modes of transportation. The figure shows major climate-related hazards and the transportation assets impacted. Photos illustrate national performance goals (listed in 23 U.S.C. § 150{{< tbib '8' 'c12d5f3d-a18a-4177-b975-657e968f1b47' >}}) that are at risk due to climate-related hazards. Source: USGCRP. Photo credits from left to right: JAXPORT, Meredith Fordham Hughes [CC BY-NC 2.0]; Oregon Department of Transportation [CC BY 2.0]; NPS – Mississippi National River and Recreation Area; Flickr user Tom Driggers [CC BY 2.0]; Flickr user Mike Mozart [CC BY 2.0]; Flickr user Jeff Turner [CC BY 2.0]; Flickr user William Garrett [CC BY 2.0]." chapter_identifier: transportation create_dt: 2018-03-27T02:47:05 href: https://data.globalchange.gov/report/nca4/chapter/transportation/figure/transportation-goals-at-risk.yaml identifier: transportation-goals-at-risk lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 1 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-23T14:44:57 time_end: ~ time_start: ~ title: U.S. Transportation Assets and Goals at Risk uri: /report/nca4/chapter/transportation/figure/transportation-goals-at-risk url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: "The figure shows annual vehicle-hours of delay for major roads (principal arterials, minor arterials, and major collectors) due to high tide flooding by state, year, and sea level rise scenario (from Sweet et al. 2017).{{< tbib '59' '3bae2310-7572-47e2-99a4-9e4276764934' >}} Years are shown using decadal average (10-year) values (that is, 2020 is 2016–2025), except 2100, which is a 5-year average (2096–2100). One vehicle-hour of delay is equivalent to one vehicle delayed for one hour. Source: Jacobs et al. 2018,{{< tbib '61' 'b4808700-a94a-44da-b2bb-d360a83146f1' >}} Figure 3, reproduced with permission of the Transportation Research Board." chapter_identifier: transportation create_dt: 2017-09-19T01:43:14 href: https://data.globalchange.gov/report/nca4/chapter/transportation/figure/delay-hours-from-sea-level-rise.yaml identifier: delay-hours-from-sea-level-rise lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-23T14:44:53 time_end: ~ time_start: ~ title: Annual Vehicle-Hours of Delay Due to High Tide Flooding uri: /report/nca4/chapter/transportation/figure/delay-hours-from-sea-level-rise 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 very hot days (annual number of days with maximum temperature above 95°F) for 1900-2014, averaged over 5-year periods; these values are averages from eight long-term reporting stations.The number of hot days was mostly above average during the 2000s. The highest number of such days occurred during the late 1920s and 1930s. The dark horizontal line is the long-term average of 8.8 days per year. Source: CICS-NC and NOAA NCEI. chapter_identifier: idaho create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/idaho/figure/id-observed-number-of-very-hot-days.yaml identifier: id-observed-number-of-very-hot-days lat_max: 49.0009 lat_min: 41.9880 lon_max: -117.2431 lon_min: -111.0434 ordinal: 2 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 Very Hot Days uri: /report/noaa-led-state-summaries-2017/chapter/idaho/figure/id-observed-number-of-very-hot-days url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'From developing biomass energy projects on the Quinault Indian Nation in Washington and tribal and intertribal wind projects in the Great Plains,532491e1-f2cd-4654-a9f4-22f5872205c4 to energy efficiency improvement efforts on the Cherokee Indian Reservation in North Carolina and the sustainable community designs being pursued on the Lakota reservations in the Dakotas (see also Ch. 19: Great Plains),a9f167ff-386e-4a78-a2e8-2564198dde24 tribes are investigating ways to reduce future climate changes. The map shows only those initiatives by federally recognized tribes that are funded through the Department of Energy. (Figure source: U.S. Department of Energy 20111f549c73-344e-4543-990b-679a4cec7af3).' chapter_identifier: tribal-indigenous-native-lands-resources create_dt: 2014-03-21T07:51:00 href: https://data.globalchange.gov/report/nca3/chapter/tribal-indigenous-native-lands-resources/figure/many-tribes-many-climate-change-initiatives.yaml identifier: many-tribes-many-climate-change-initiatives lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: nca3 source_citation: 'U.S. Department of Energy 20111f549c73-344e-4543-990b-679a4cec7af3' submission_dt: ~ time_end: ~ time_start: ~ title: 'Many Tribes, Many Climate Change Initiatives' uri: /report/nca3/chapter/tribal-indigenous-native-lands-resources/figure/many-tribes-many-climate-change-initiatives url: http://nca2014.globalchange.gov/report/sectors/indigenous-peoples/graphics/many-tribes-many-climate-change-initiatives usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: "Data are in megagrams\r\n(Mg) of carbon per hectare (ha) to 100 cm. Soil group strata and land use–land cover (LULC) strata were\r\nlinked together into a LULC-Soil Group Combination, designated as “LUGR.” Prepared using the geometric mean of\r\npedon stocks according to RaCA methodology. [Figure source: Reprinted from U.S. Department of Agriculture Natural\r\nResources Conservation Service, Soil Survey Staff, RaCA project. Prepared by Skye Wills, 2016]" chapter_identifier: soils create_dt: 2018-02-06T17:08:48 href: https://data.globalchange.gov/report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/soils/figure/rapid-carbon-assessment--raca--soil-organic-carbon-stock-values.yaml identifier: rapid-carbon-assessment--raca--soil-organic-carbon-stock-values lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: second-state-carbon-cycle-report-soccr2-sustained-assessment-report source_citation: ~ submission_dt: 2019-02-11T16:52:23 time_end: ~ time_start: ~ title: Rapid Carbon Assessment (RaCA) of Soil Organic Carbon (SOC) Stock Values uri: /report/second-state-carbon-cycle-report-soccr2-sustained-assessment-report/chapter/soils/figure/rapid-carbon-assessment--raca--soil-organic-carbon-stock-values url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: '(a) The relationship between peak global mean temperature, maximum global mean sea level (GMSL), and source(s) of meltwater for two periods in the past with global mean temperature comparable to or warmer than present. Light blue shading indicates uncertainty of GMSL maximum. Red pie charts over Greenland and Antarctica denote fraction, not location, of ice retreat. Atmospheric CO2 levels in 2100 are shown under RCP8.5 (b) GMSL rise from −500 to 1900 CE, from Kopp et al.’sa0130167-b319-493d-bedc-7cab8f8fe9d9 geological and tide gauge-based reconstruction (blue), from 1900 to 2010 from Hay et al.’s7c318710-b8fb-4e09-9982-546f2b60be67 tide gauge-based reconstruction (black), and from 1992 to 2015 from the satellite-based reconstruction updated from Nerem et al.7b7ffcb0-766c-43b3-ac22-db29fbffef71 (magenta). (Figure source: (a) adapted from Dutton et al. 2015c0bdfdf2-5012-4496-9d27-c8d540fd4d4b and (b) Sweet et al. 2017c66bf5a9-a6d7-4043-ad99-db0ae6ae562c ).' chapter_identifier: sea-level-rise create_dt: 2017-10-06T17:12:05 href: https://data.globalchange.gov/report/climate-science-special-report/chapter/sea-level-rise/figure/slr_co2-and-historical-global-mean-sea-level_v1.yaml identifier: slr_co2-and-historical-global-mean-sea-level_v1 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 2 report_identifier: climate-science-special-report source_citation: ~ submission_dt: 2017-10-13T18:23:33 time_end: ~ time_start: ~ title: 'Sea Level Rise, CO2, and Historical Global Mean Sea Level' uri: /report/climate-science-special-report/chapter/sea-level-rise/figure/slr_co2-and-historical-global-mean-sea-level_v1 url: ~ usage_limits: Copyright protected. Obtain permission from the original figure source. - attributes: ~ caption: |+2 The observed number of very warm nights (annual number of days with minimum temperature above 70°F) for 1900-2014, averaged over 5-year periods; these values are averages from eight long-term reporting stations. Warm nights are infrequent in Idaho because of the high elevation and dry atmosphere. The number of warm nights has been above average during the 2000s, although remaining a rare event. The dark horizontal line is the long-term average of 0.12 days per year. Source: CICS-NC and NOAA NCEI. chapter_identifier: idaho create_dt: 2015-04-13T00:00:00 href: https://data.globalchange.gov/report/noaa-led-state-summaries-2017/chapter/idaho/figure/id-observed-number-of-warm-nights.yaml identifier: id-observed-number-of-warm-nights lat_max: 49.0009 lat_min: 41.9880 lon_max: -117.2431 lon_min: -111.0434 ordinal: 3 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 Warm Nights uri: /report/noaa-led-state-summaries-2017/chapter/idaho/figure/id-observed-number-of-warm-nights url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'On the Arizona portion of the Navajo Nation, recurring drought and rising temperatures have accelerated growth and movement of sand dunes. Map above shows range and movement of Great Falls Dune Field from 1953 to 2010. Moving and/or growing dunes can threaten roads, homes, traditional grazing areas, and other tribal assets. (Figure source: Redsteer et al. 2011953476ae-1357-48a5-99d8-1daf963f0a3c).' chapter_identifier: tribal-indigenous-native-lands-resources create_dt: 2012-10-27T14:11:00 href: https://data.globalchange.gov/report/nca3/chapter/tribal-indigenous-native-lands-resources/figure/sand-dune-expansion.yaml identifier: sand-dune-expansion lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 3 report_identifier: nca3 source_citation: 'Redsteer et al. 2011953476ae-1357-48a5-99d8-1daf963f0a3c' submission_dt: ~ time_end: ~ time_start: ~ title: Sand Dune Expansion uri: /report/nca3/chapter/tribal-indigenous-native-lands-resources/figure/sand-dune-expansion url: http://nca2014.globalchange.gov/report/sectors/indigenous-peoples/graphics/sand-dune-expansion usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: '(a) Contributions of ocean mass changes from land ice and land water storage (measured by satellite gravimetry) and ocean volume changes (or steric, primarily from thermal expansion measured by in situ ocean profilers) and their comparison to global mean sea level (GMSL) change (measured by satellite altimetry) since 1993. (b) An estimate of modeled GMSL rise in the absence of 20th century warming (blue), from the same model with observed warming (red), and compared to observed GMSL change (black). Heavy/light shading indicates the 17th–83rd and 5th–95th percentiles. (c) Rates of change from 1993 to 2015 in sea surface height from satellite altimetry data; updated from Kopp et al.e8f60819-839e-4772-8a49-7c57d9c53424 using data updated from Church and White.94a8514e-063e-45ef-b893-11c82b49a597 (Figure source: (a) adapted and updated from Leuliette and Nerem 2016,205a8499-bda4-4910-b26a-585acbb3729d (b) adapted from Kopp et al. 2016a0130167-b319-493d-bedc-7cab8f8fe9d9 and (c) adapted and updated from Kopp et al. 2015e8f60819-839e-4772-8a49-7c57d9c53424 ).' chapter_identifier: sea-level-rise create_dt: 2017-10-06T17:14:33 href: https://data.globalchange.gov/report/climate-science-special-report/chapter/sea-level-rise/figure/slr_global-mean-sea-level-budget-and-height_v1-01.yaml identifier: slr_global-mean-sea-level-budget-and-height_v1-01 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 3 report_identifier: climate-science-special-report source_citation: ~ submission_dt: 2017-10-13T18:24:14 time_end: ~ time_start: ~ title: Changes in Sea Level in Sea Surface Height uri: /report/climate-science-special-report/chapter/sea-level-rise/figure/slr_global-mean-sea-level-budget-and-height_v1-01 url: ~ usage_limits: Free to use with credit to the original figure source. - attributes: ~ caption: 'This figure shows transportation vulnerability and/or risk assessments from 2012 to 2016 by location. Cumulatively, these vulnerability assessments elucidate national-scale vulnerabilities and progress. Data for the U.S. Caribbean region were not available. Source: ICF and U.S. Department of Transportation.' chapter_identifier: transportation create_dt: 2017-03-29T17:43:53 href: https://data.globalchange.gov/report/nca4/chapter/transportation/figure/transportation_vulnerability_assessment.yaml identifier: transportation_vulnerability_assessment lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 3 report_identifier: nca4 source_citation: ~ submission_dt: 2018-12-03T20:36:43 time_end: ~ time_start: ~ title: Transportation Vulnerability and Risk Assessments uri: /report/nca4/chapter/transportation/figure/transportation_vulnerability_assessment url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information - attributes: ~ caption: 'Flooding events can result in serious damage to road infrastructure. Here, debris flow covers US Highway 14 (Poudre Canyon) after the High Park Fire in 2012. Photo credit: Justin Pipe, Colorado Department of Transportation.' chapter_identifier: transportation create_dt: 2018-04-16T19:41:27 href: https://data.globalchange.gov/report/nca4/chapter/transportation/figure/12-4-colorado-debris-flows-.yaml identifier: 12-4-colorado-debris-flows- lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ ordinal: 4 report_identifier: nca4 source_citation: ~ submission_dt: 2018-11-23T14:45:05 time_end: ~ time_start: ~ title: Flood Impacts on Colorado Highway uri: /report/nca4/chapter/transportation/figure/12-4-colorado-debris-flows- url: ~ usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information