---
- attributes: ~
caption: 'Aerosols can have both a warming and cooling influence on global climate through a variety of diverse regional effects. This figure shows the reduction of cloudiness in a geographical region due to smoke aerosols from biomass burning. The reduction in cloud cover causes the region to reflect less sunlight, thereby allowing the surface to become warmer by the increased absorption of direct sunlight. The two satellite images of regions of the Amazon show marked difference in cloud cover due to the presence of smoke from biomass burning. The panel to the left without smoke aerosols has 40% cloud cover while the panel to the right with smoke is virtually cloud free. The partially cloud-covered region reflects an average of 36 Wm-2 of the incident sunlight and the cloud-free area reflects a smaller 28 Wm-2. The fraction of the sunlight that is not reflected is absorbed by the atmosphere and surface. These satellite images were acquired by the MODIS instrument aboard the Aqua satellite on 3 August 2003. Credit: R. Simmon, J. Allen, and Y. Kaufman, NASA/ Goddard Space Flight Center.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2006/figure/reduction-amazon-cloud-cover-smoke.yaml
identifier: reduction-amazon-cloud-cover-smoke
lat_max: ~
lat_min: ~
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lon_min: ~
ordinal: 22
report_identifier: ccsp-ocpfy2006
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Reduction in Amazon Cloud Cover due to Smoke
uri: /report/ccsp-ocpfy2006/figure/reduction-amazon-cloud-cover-smoke
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Global change in terrestrial net primary productivity (NPP), 1982-1999. NPP was calculated using mean fraction of absorbed photosynthetically active radiation and leaf area index derived from two different Advanced Very High- Resolution Radiometer (AVHRR) data sets. Areas of increase in NPP are colored green and areas of decrease in brown. Credit: R. Nemani, NASA Ames Research Center [first presented in Science, 300, 1560-1563 (6 June 2003)].'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2004and2005/figure/terrestrial-net-primary-productivity.yaml
identifier: terrestrial-net-primary-productivity
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 22
report_identifier: ccsp-ocpfy2004and2005
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Terrestrial Net Primary Productivity
uri: /report/ccsp-ocpfy2004and2005/figure/terrestrial-net-primary-productivity
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: Conceptualization of the water cycle
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2003/figure/water-cycle.yaml
identifier: water-cycle
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 22
report_identifier: ccsp-ocpfy2003
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: The Water Cycle
uri: /report/ccsp-ocpfy2003/figure/water-cycle
url: ~
usage_limits: ~
- attributes: ~
caption: "This figure shows possible future pathways for global annual emissions of GHGs for which the global mean temperature would likely (66%) not exceed 3.6oF (2oC) above the preindustrial average. The black curves on the bottom show the fastest reduction in emissions, with rapid near-term mitigation and little to no negative emissions required in the future. The red curves on top show slower rates of mitigation, with slow near-term reductions in emissions and large negative emission requirements in the future. Here, the annual global GHG emissions are in units of gigatons of CO2 equivalent, a measurement that expresses the warming impact of all GHGs in terms of the equivalent amount of CO2. Source: adapted from Sanderson et al. 2016.{{< tbib '29' 'bf91f878-c82a-409b-8d96-e21320366a69' >}}"
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-06-15T16:49:34
href: https://data.globalchange.gov/report/nca4/chapter/appendix-5-frequently-asked-questions/figure/caq_emissions_reductions_v3.yaml
identifier: caq_emissions_reductions_v3
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 23
report_identifier: nca4
source_citation: ~
submission_dt: 2018-12-03T17:50:09
time_end: ~
time_start: ~
title: Benefit of Earlier Action to Reduce Emissions
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/caq_emissions_reductions_v3
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: 'These products represent a portion of a false-color Landsat-7 scene over the Dulles airport area in Virginia, showing the gap-filled product developed to compensate for a mechanical problem on Landsat-7. Credit: R. Beck, U.S. Geological Survey.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/landsat-7-data-gap-washington-dulles-international-airport.yaml
identifier: landsat-7-data-gap-washington-dulles-international-airport
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 23
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: 'Landsat-7 Data Gap Correction: Washington Dulles International Airport'
uri: /report/ccsp-ocpfy2007/figure/landsat-7-data-gap-washington-dulles-international-airport
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Colored lines show the retreating margin of the Larsen B ice shelf from 1998 through 2002. The red squares indicate glacier velocity measurement sites where speed increased significantly in the 12 months following the 2002 ice shelf breakup—up to a five-fold flux increase in some places. Measurements at sites indicated by the blue squares showed no large velocity changes. The 1 November 2003 base image is from MODIS Terra. Credit: T. Scambos, NOAA/ National Snow and Ice Data Center.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2006/figure/retreating-margin-larsen-b-ice-shelf.yaml
identifier: retreating-margin-larsen-b-ice-shelf
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 23
report_identifier: ccsp-ocpfy2006
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Retreating Margin of the Larsen B Ice Shelf
uri: /report/ccsp-ocpfy2006/figure/retreating-margin-larsen-b-ice-shelf
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'Satellite maps of total ozone over Antarctica on 24 September 2001, 2002, and 2003. The color scale shows the amount of ozone in Dobson units, indicating the depth of the hole. The images are based on multiple satellite records and analyses. Credit: Susan Solomon, “The hole truth.” Nature, 427, 22 January 2004. World Ozone and Ultraviolet Radiation Data Centre, Toronto, Canada.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2004and2005/figure/total-ozone-over-antarctica.yaml
identifier: total-ozone-over-antarctica
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 23
report_identifier: ccsp-ocpfy2004and2005
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Total Ozone Over Antarctica
uri: /report/ccsp-ocpfy2004and2005/figure/total-ozone-over-antarctica
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: 'Landsat mosaic products over the southern portions of Lake Michigan and adjacent areas of the United States: (a) a full-resolution 28.5-m2 subset for the circa 1990 epoch; and (b) a full-resolution 14.25-m2 subset of the circa 2000 epoch. These are examples of the data available globally from NASA’s Global Ortho-Rectified Landsat Data Set. Credit: C.J. Tucker, NASA/ Goddard Space Flight Center.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/landsat-mosaic-over-lake-michigan.yaml
identifier: landsat-mosaic-over-lake-michigan
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 24
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Landsat Mosaic over Lake Michigan
uri: /report/ccsp-ocpfy2007/figure/landsat-mosaic-over-lake-michigan
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: "Reducing carbon emissions from a higher scenario (RCP8.5) to a lower scenario (RCP4.5) can be accomplished with a combination of many technologies and policies. In this example, these emissions reduction “wedges” could include increasing the energy efficiency of appliances, vehicles, buildings, electronics, and electricity generation (orange wedges); reducing carbon emissions from fossil fuels by switching to lower-carbon fuels or capturing and storing carbon (blue wedges); and switching to renewable and non-carbon-emitting sources of energy, including solar, wind, wave, biomass, tidal, and geothermal (green wedges). The shapes and sizes of the wedges shown here are illustrative only. Source: adapted from Walsh et al. 2014.{{< tbib '6' 'ee2ad491-9e02-4f29-859a-07970e4d1de1' >}}"
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-05-01T15:45:09
href: https://data.globalchange.gov/report/nca4/chapter/appendix-5-frequently-asked-questions/figure/multiple-pathways-for-reducing-u-s--emissions.yaml
identifier: multiple-pathways-for-reducing-u-s--emissions
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 24
report_identifier: nca4
source_citation: ~
submission_dt: 2018-12-03T17:50:10
time_end: ~
time_start: ~
title: Pathways to Carbon Emissions Reduction
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/multiple-pathways-for-reducing-u-s--emissions
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: 'Globally averaged temperature anomalies for the lower stratosphere simulated by four global climate models using estimates of natural and anthropogenic forcings (in color) and observational values (in black) from two different satellite data sets. Model runs were conducted by the Parallel Climate Model (PCM, blue); the Community Climate System Model, version 3 (CCSM3, green); the Geophysical Fluid Dynamics Laboratory Climate Model, version 2.1 (GFDL CM 2.1, red); and the Goddard Institute for Space Studies climate model (GISS EH, purple). Observed estimates of lower stratospheric temperature changes are from channel 4 of the satellite-based Microwave Sounding Unit—produced by the University of Alabama in Huntsville (UAH, solid black) and Remote Sensing Systems in Santa Rosa (RSS, dashed black). Source: B. Santer, Lawrence Livermore National Laboratory.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2006/figure/simulated-observed-stratospheric-temperature-changes.yaml
identifier: simulated-observed-stratospheric-temperature-changes
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 24
report_identifier: ccsp-ocpfy2006
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Simulated and Observed Stratospheric Temperature Changes
uri: /report/ccsp-ocpfy2006/figure/simulated-observed-stratospheric-temperature-changes
url: ~
usage_limits: ~
- attributes: ~
caption: 'Laser technology captures continuous, vertical distributions of water vapor over the Atmospheric Radiation Measurement’s Southern Great Plains Site for the 29 November - 2 December 2002 time frame. The figure represents three measurements that are important for climate studies: (a) ratio of water vapor to dry air (CART Raman Lidar Mixing Ratio Data); (b) relative humidity (CART Raman Lidar RH Data); and (c) the total atmospheric water vapor contained in a vertical column of unit cross- sectional area extending from the surface to the top of the atmosphere (precipitable water vapor). Credit: David Turner, University of Wisconsin.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2004and2005/figure/water-vapor-over-arm-southern-great-plains-site.yaml
identifier: water-vapor-over-arm-southern-great-plains-site
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 24
report_identifier: ccsp-ocpfy2004and2005
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Water Vapor over ARM Southern Great Plains Site
uri: /report/ccsp-ocpfy2004and2005/figure/water-vapor-over-arm-southern-great-plains-site
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: 'A side-by-side comparison of Landsat Thematic Mapper 30m (left) and Ikonos 1m (right) false-color imagery shows the ancient ruins of Tikal—a Mayan city deep in the Guatemalan rainforest that was lost for almost 1,000 years. The Ikonos imagery resolution of approximately 1 meter can detect individual pyramids, pathways, and small structures. Credit: T.L. Sever, NASA/ Marshall Space Flight Center.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/landsat-thermatic-mapper-versus-ikonos.yaml
identifier: landsat-thermatic-mapper-versus-ikonos
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 25
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: 'Landsat Thermatic Mapper vs. Ikonos '
uri: /report/ccsp-ocpfy2007/figure/landsat-thermatic-mapper-versus-ikonos
url: ~
usage_limits: ~
- attributes: ~
caption: "The maps show projections of change in relative sea level along the U.S. coast by 2100 (as compared to 2000) under the lower and higher scenarios (RCP4.5 and RCP8.5, top and bottom panels, respectively).{{< tbib '39' '3bae2310-7572-47e2-99a4-9e4276764934' >}} Globally, sea levels will continue to rise from thermal expansion of the ocean and melting of land-based ice masses (such as Greenland, Antarctica, and mountain glaciers). Regionally, however, the amount of sea level rise will not be the same everywhere. Where land is sinking (as along the Gulf of Mexico coastline), relative sea level rise will be higher, and where land is rising (as in parts of Alaska), relative sea level rise will be lower. Changes in ocean circulation (such as the Gulf Stream) and gravity effects due to land ice melt will also alter the heights of the ocean regionally. Sea levels are expected to continue to rise along almost all U.S. coastlines, and by 2100, under the higher scenario, coastal flood heights that today cause major damages to infrastructure would become common during high tides nationwide. Source: adapted from Sweet et al. 2017.{{< tbib '40' 'c66bf5a9-a6d7-4043-ad99-db0ae6ae562c' >}}"
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-06-15T17:28:52
href: https://data.globalchange.gov/report/nca4/chapter/appendix-5-frequently-asked-questions/figure/slr.yaml
identifier: slr
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 25
report_identifier: nca4
source_citation: ~
submission_dt: 2018-12-03T17:50:14
time_end: ~
time_start: ~
title: Relative Sea Level Projected to Rise Along Most U.S. Coasts
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/slr
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: 'U.S. climate extremes index—warm season (April-September), 1910–2004. Credit: K.L. Gleason, NOAA/ National Climatic Data Center.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2006/figure/us-climate-extremes-index.yaml
identifier: us-climate-extremes-index
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 25
report_identifier: ccsp-ocpfy2006
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: U.S. Climate Extremes Index
uri: /report/ccsp-ocpfy2006/figure/us-climate-extremes-index
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'These products provide examples of LEDAPS forest disturbance mapping: (a) 0.05° modeling grid showing the percent of each cell area disturbed (harvested) per year for the mid-Atlantic from 1990 to 2000; (b) atmospherically corrected Landsat surface reflectance image for the Richmond, Virginia, region; and (c) high-resolution map of forest disturbance (red) and regrowth (green) for the Richmond region, 1990 to 2000. Credit: J.G. Masek, E.F. Vermote, N.E. Saleous, R. Wolfe, F.G. Hall, K. Huemmrich, F. Gao, J. Kutler, and T.K. Lim, NASA/ Goddard Space Flight Center and the University of Maryland (reproduced from Geoscience and Remote Sensing Letters with permission from the Institute of Electrical and Electronics Engineers ©2006).'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/ledaps-forest-disturbance-mapping.yaml
identifier: ledaps-forest-disturbance-mapping
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 26
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: LEDAPS Forest Disturbance Mapping
uri: /report/ccsp-ocpfy2007/figure/ledaps-forest-disturbance-mapping
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: "Both the extent and the age of the September sea ice cover are shown for 1984 (top) and 2016 (bottom). The colors of the bars on the right panels correspond to the colors used to indicate the age of the sea ice in the panels on the left. The green bars on the graphs on the right mark the maximum extent for each age range during the record. The year 1984 is representative of September sea ice characteristics during the 1980s. Over time, September sea ice extent and the amount of multiyear ice have greatly decreased. The years 1984 and 2016 are selected as endpoints in the timeseries. A movie of the complete time series is available at http://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=4489. Source: adapted from NASA 2016.{{< tbib '41' 'ad503496-18f2-4d72-9867-d2238b8ee803' >}}"
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-06-15T18:00:59
href: https://data.globalchange.gov/report/nca4/chapter/appendix-5-frequently-asked-questions/figure/sea-ice-extent.yaml
identifier: sea-ice-extent
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 26
report_identifier: nca4
source_citation: ~
submission_dt: 2018-12-03T17:50:15
time_end: ~
time_start: ~
title: Annual Minimum Sea Ice Extent Decreasing
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/sea-ice-extent
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: 'The top row shows observed daily minimum temperature maps of the mean annual warmest 3-day heat waves in the United States (left) and Europe (right) for 1961 to 1990. The middle row shows the ability of the Parallel Climate Model to simulate these heat waves. The bottom row shows the increased heat wave intensities that are projected by the model for the United States and Europe in the period 2080 to 2099. Credit: G.A. Meehl and C. Tebaldi, National Center for Atmospheric Research.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2006/figure/worst-summer-3-day-heat-events.yaml
identifier: worst-summer-3-day-heat-events
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 26
report_identifier: ccsp-ocpfy2006
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Worst Summer 3-Day Heat Events
uri: /report/ccsp-ocpfy2006/figure/worst-summer-3-day-heat-events
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: 'These data products show drying (reds and pinks) across much of Canada, Europe, Asia, and Africa and moistening (green) across the United States, Argentina, Scandinavia, and western Australia. Credit: A. Dai, K.E. Trenberth, and T. Qian, National Center for Atmospheric Research (reproduced from Journal of Hydrometeorology with permission from the American Meteorological Society).'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/linear-trends-palmer-drought-severity-index-1948-2002.yaml
identifier: linear-trends-palmer-drought-severity-index-1948-2002
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 27
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: Linear Trends in the Palmer Drought Serverity Index (PDSI) from 1948 to 2002
uri: /report/ccsp-ocpfy2007/figure/linear-trends-palmer-drought-severity-index-1948-2002
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: "This graph shows historical simulations of arctic sea ice extent starting in 1900 (dotted black line), observations of arctic sea ice extent (solid black line), and future projections of arctic sea ice extent (colored lines) from 2005 through 2100 under three RCP scenarios. The projections shown are the average values from a set of climate model simulations, and the shaded pink and green regions indicate one-standard-deviation confidence intervals around the average values for the higher and lower scenarios, respectively. Source: adapted from Stroeve and Notz 2015.{{< tbib '42' 'a3608f03-5865-4955-922f-609a75ebfa11' >}} ©2015 Elsevier B.V. All rights reserved."
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-06-15T18:01:10
href: https://data.globalchange.gov/report/nca4/chapter/appendix-5-frequently-asked-questions/figure/sea-ice-projections.yaml
identifier: sea-ice-projections
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 27
report_identifier: nca4
source_citation: ~
submission_dt: 2018-12-03T17:50:17
time_end: ~
time_start: ~
title: Decreasing Arctic Sea Ice Extent
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/sea-ice-projections
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: "The graphs show satellite measurements of the change in ice mass for the two polar ice sheets through August 2016 as compared to April 2002. Both the Greenland and Antarctic ice sheets are losing ice as the atmosphere and oceans warm. Source: adapted from Wouters et al. 2013.{{< tbib '43' 'c4e41db7-4ee3-4aab-8912-79e32566565b' >}} Reprinted by permission from Macmillan Publishers Ltd., ©2013."
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-06-15T18:26:50
href: https://data.globalchange.gov/report/nca4/chapter/appendix-5-frequently-asked-questions/figure/ice-sheets.yaml
identifier: ice-sheets
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 28
report_identifier: nca4
source_citation: ~
submission_dt: 2018-12-03T17:50:18
time_end: ~
time_start: ~
title: Greenland and Antarctica Are Losing Ice
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/ice-sheets
url: ~
usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
- attributes: ~
caption: 'These model projections employ the 2050 IPCC A2 emissions scenario: (a) temperature changes simulated with the Mesoscale Modeling System Generation 5 (MM5) regional model; (b) ozone changes simulated with the Community Multiscale Air Quality (CMAQ) modeling system; (c) land-use changes simulated with the Slope, Land-Use Elevation, Urban, Transportation, and Hillshading (SLEUTH) model; and (d) change in ozone-related deaths. Credit: C. Rosenzweig, NASA/Goddard Institute for Space Studies (panel d reproduced with permission from Environmental Health Perspectives).'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/new-york-climate-health-model-projections.yaml
identifier: new-york-climate-health-model-projections
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 28
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: 'New York Climate and Health Project: Model Projections'
uri: /report/ccsp-ocpfy2007/figure/new-york-climate-health-model-projections
url: ~
usage_limits: Copyright protected. Obtain permission from the original figure source.
- attributes: ~
caption: 'Studies of soil carbon fluxes beneath the snowpack of the Niwot Ridge Ameriflux site have shown that recent declines in the snowpack of the western United States are likely to affect the flux of CO2 from the soil to the atmosphere. This research illustrates the tight coupling between the water and carbon biogeochemical cycles in mountain ecosystems. Credit: S. Burns, National Center for Atmospheric Research.'
chapter_identifier: ~
create_dt: ~
href: https://data.globalchange.gov/report/ccsp-ocpfy2007/figure/niwot-ridge-ameriflux-colorado.yaml
identifier: niwot-ridge-ameriflux-colorado
lat_max: ~
lat_min: ~
lon_max: ~
lon_min: ~
ordinal: 29
report_identifier: ccsp-ocpfy2007
source_citation: ~
submission_dt: ~
time_end: ~
time_start: ~
title: 'Niwot Ridge Ameriflux Site, Colorado'
uri: /report/ccsp-ocpfy2007/figure/niwot-ridge-ameriflux-colorado
url: ~
usage_limits: Free to use with credit to the original figure source.
- attributes: ~
caption: "The figure shows average projected changes in fishery catches within large marine ecosystems for 2041–2060 relative to 1991–2010 under a higher scenario (RCP8.5). All U.S. large marine ecosystems, with the exception of the Alaska Arctic, are expected to see declining fishery catches. Source: adapted from Lam et al. 2016.{{< tbib '51' 'd059c4c7-95d4-45d4-a846-ee58feda16a2' >}}"
chapter_identifier: appendix-5-frequently-asked-questions
create_dt: 2017-05-01T15:02:50
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identifier: ocean-acidification-and-the-food-web
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submission_dt: 2018-12-03T17:50:20
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title: Projected Changes in Maximum Fish Catch Potential
uri: /report/nca4/chapter/appendix-5-frequently-asked-questions/figure/ocean-acidification-and-the-food-web
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usage_limits: Figure may be copyright protected and permission may be required. Contact original figure source for information
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caption: 'Air Pollution Plume from Southeast Asia Moving Over the Pacific Ocean and Reaching North America. Concentrations of carbon monoxide at 15,000 feet: (a) March 10, 2000; (b) March 12, 2000; (c) March 13, 2000; (d) March 15, 2000. Measurements were taken by the Measurements of Pollution in the Troposphere (MOPITT) instrument, onboard the Terra satellite. Credit: NASA Goddard Space Flight Center, Scientific Visualization Studio.'
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href: https://data.globalchange.gov/report/ccsp-ocpfy2003/figure/air-pollution-plume-moving-over-pacific-b.yaml
identifier: air-pollution-plume-moving-over-pacific-b
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title: Air Pollution Plume Moving Over the Pacific (b)
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usage_limits: Free to use with credit to the original figure source.
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caption: 'Distribution of AmeriFlux sites (clusters) and wet nitrogen deposition across the United States used in the Northern Hemisphere analysis of the effects of nitrogen deposition on carbon sequestration by temperate and boreal forests. Credit: F. Magnani, University of Bologna, (reproduced from Nature with permission).'
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href: https://data.globalchange.gov/report/usgcrp-ocpfy2009/figure/ameriflux-clusters-wet-nitrogen-deposition.yaml
identifier: ameriflux-clusters-wet-nitrogen-deposition
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title: Distribution of AmeriFlux Clusters and Wet Nitrogen Deposition
uri: /report/usgcrp-ocpfy2009/figure/ameriflux-clusters-wet-nitrogen-deposition
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usage_limits: Copyright protected. Obtain permission from the original figure source.