uri,href,identifier,attributes,caption,chapter_identifier,create_dt,lat_max,lat_min,lon_max,lon_min,ordinal,report_identifier,source_citation,submission_dt,time_end,time_start,title,url,usage_limits
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/measuring-change-sea,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/measuring-change-sea,measuring-change-sea,,"Multi-decadal ship-based surveys show that the ocean is taking up most of Earth’s excess anthropogenic heat, with the deep ocean warming as well as the surface layers. The figure shows average warming rates (◦C per decade) below 4,000 meters (color bar) estimated for deep ocean basins (thin gray outlines), centered on 1992–2005. Stippling indicates that warming rates in a given area are not significantly different from zero at 95% confidence—i.e., it is very unlikely that significant warming or cooling occurred in that basin over 19922005. The positions of the repeat surveys from which these warming rates are estimated are also shown (thick black lines) (Source: Talley et al, 2016, using data from Purkey and Johnson 2010 ). ",delivering-2012-2021-strategic-plan,,,,,,1,usgcrp-ocpfy2017,10.1146/annurev-marine-052915-100829,,1970-01-01T00:33:25,1970-01-01T00:33:12,"Measuring Change at Sea",,"Copyright protected. Obtain permission from the original figure source. PERMISSION OBTAINED: Publisher hereby grants to you a non-exclusive license to use this material. Licenses are for one-time use only with a maximum distribution equal to the number that you identified in the licensing process; any form of republication must be completed within one year from the date hereof (although copies prepared before then may be distributed thereafter)"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/implementing-data-services-development,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/implementing-data-services-development,implementing-data-services-development,,"An example of the web-based information products available through the Agricultural Atlas of Nepal, created under the SERVIR-Himalaya initiative supported by USAID and NOAA. (Source: ICIMOD). ",delivering-2012-2021-strategic-plan,,,,,,10,usgcrp-ocpfy2017,,,,,"Implementing Data Services for Development",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/protecting-fish-wildlife-plants-ecosystems-changing-climate,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/protecting-fish-wildlife-plants-ecosystems-changing-climate,protecting-fish-wildlife-plants-ecosystems-changing-climate,,"The Pacific walrus in Alaska is threatened by reductions in the thickness and extent of sea ice driven by climate change. The National Fish, Wildlife, and Plants Climate Adaptation Strategy aims to protect species like the Pacific walrus under pressure in a changing climate. (Source: U.S. Fish and Wildlife Service).",delivering-2012-2021-strategic-plan,,,,,,11,usgcrp-ocpfy2017,,,,,"Protecting Fish, Wildlife, Plants, and Ecosystems in a Changing Climate",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/analyzing-rising-costs-climate-change-human-health,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/analyzing-rising-costs-climate-change-human-health,analyzing-rising-costs-climate-change-human-health,,"This figure depicts the projected increase in deaths due to warming in the summer months (hot season, April–September), the projected decrease in deaths due to warming in the winter months (cold season, October–March), and the projected net change in deaths compared to a 1990 baseline period for 209 U.S. cities, using the GFDL–CM3 and MIROC5 climate models. Both models project a net increase in deaths. (Source: USGCRP, adapted from Schwartz et al. 2015)",delivering-2012-2021-strategic-plan,,,,,,12,usgcrp-ocpfy2017,USGCRP,,2100-01-01T00:00:00,2030-01-01T00:00:00,"Analyzing the Rising Costs of Climate Change to Human Health",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/improving-indicators-change,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/improving-indicators-change,improving-indicators-change,,"One measure of a heavy precipitation event is a two-day precipitation total that is exceeded on average only once in a five-year period, also known as a once-in-five-year event. As this extreme precipitation index for 1901-2012 shows, the occurrence of such events has become much more common in recent decades. Changes are compared to the period 1901-1960, and do not include Alaska or Hawai‘i. The 2000s decade (far right bar) includes 2001-2012. ",delivering-2012-2021-strategic-plan,,,,,,13,usgcrp-ocpfy2017,USGCRP,,2000-01-01T00:00:00,1900-01-01T00:00:00,"Improving Indicators of Change",,"Public Domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/implementing-climate-education-literacy-initiative,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/implementing-climate-education-literacy-initiative,implementing-climate-education-literacy-initiative,," The “Our Time to Lead: Youth Engagement in Climate Change"""" event at COP21 on November 30, 2015. As part of the Climate Education and Literacy Initiative, the event engaged young leaders from around the world. (Source: Frank Niepold, NOAA). ",delivering-2012-2021-strategic-plan,,,,,,14,usgcrp-ocpfy2017,,,,,"Implementing the Climate Education and Literacy Initiative",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/using-games-climate-education,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/using-games-climate-education,using-games-climate-education,,"Participants at the Climate Game Jam.",delivering-2012-2021-strategic-plan,,,,,,15,usgcrp-ocpfy2017,,,,,"Using Games for Climate Education",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/studying-thunderstorms-night,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/studying-thunderstorms-night,studying-thunderstorms-night,,"A Plains Elevated Convection at Night (PECAN) mobile observing station. The PECAN campaign focused on characterizing conditions that lead to nighttime storm formulation over the Great Plains, towards improving the ability of climate models to make long-term projections of precipitation and hydrology. (Source: James Kurdzo). ",delivering-2012-2021-strategic-plan,,,,,,2,usgcrp-ocpfy2017,,,,,"Studying Thunderstorms by Night",https://www.eol.ucar.edu/field_projects/pecan,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/studying-northern-ecosystem-response-changing-climate,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/studying-northern-ecosystem-response-changing-climate,studying-northern-ecosystem-response-changing-climate,,"An aerial view of the SPRUCE site showing open-top chambers where experimentally-elevated atmospheric-carbon-dioxide concentrations and temperatures simulate future climatic conditions in a carbon-rich, northern-peat bog. (Source: Oak Ridge National Laboratory). ",delivering-2012-2021-strategic-plan,,,,,,3,usgcrp-ocpfy2017,,,,,"Studying Northern-Ecosystem Response to a Changing Climate",http://mnspruce.ornl.gov,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/monitoring-urban-emissions-hotspots,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/monitoring-urban-emissions-hotspots,monitoring-urban-emissions-hotspots,,"As part of the Megacities Carbon Project, sensors located around the Los Angeles basin provide continuous ground-based measurements of the atmospheric concentrations of carbon dioxide, methane, and carbon monoxide. Remote-sensing instruments on Mt. Wilson and at Caltech provide measurements throughout the height of the atmosphere. Aircraft and mobile laboratories also provide infrequent but intensive measurements throughout the height of the atmosphere. (Source: NASA-Jet Propulsion Laboratory). ",delivering-2012-2021-strategic-plan,,,,,,4,usgcrp-ocpfy2017,,,,,"Monitoring Urban Emissions Hotspots",https://www.eol.ucar.edu/field_projects/pecan,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/tracking-earth-carbon-methane-budgets,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/tracking-earth-carbon-methane-budgets,tracking-earth-carbon-methane-budgets,,"An accounting of global carbon dioxide sources and sinks, from 1870-2014. Carbon dioxide emissions from fossil fuels, industry, and land-use change are taken up by terrestrial ecosystems, the oceans, and the atmosphere. Increasing atmospheric carbon dioxide concentrations, in turn, are driving global warming. (Source: Global Carbon Project).",delivering-2012-2021-strategic-plan,,,,,,5,usgcrp-ocpfy2017,"Global Carbon Budget 2015, by C Le Quéré, R Moriarty, RM Andrew, JG Canadell, S Sitch, JI Korsbakken, P Friedlingstein, GP Peters, RJ Andres, TA Boden, RA Houghton, JI House, RF Keeling, P Tans, A Arneth, DCE Bakker, L Barbero , L Bopp, J Chang, F Chevallier, LP Chini, P Ciais, M Fader, R Feely, T Gkritzalis, I Harris, J Hauck, T Ilyina, AK Jain, E Kato, V Kitidis, K Klein Goldewijk, C Koven, P Landschützer, SK Lauvset, N Lefèvre, A Lenton, ID Lima, N Metzl, F Millero, DR Munro, A Murata, JEMS Nabel, S Nakaoka, Y Nojiri, K O'Brien, A Olsen, T Ono, FF Pérez, B Pfeil, D Pierrot, B Poulter, G Rehder, C Rödenbeck, S Saito, U Schuster, J Schwinger, R Séférian, T Steinhoff, BD Stocker, AJ Sutton, T Takahashi, B Tilbrook, IT van der Laan-Luijkx, GR van der Werf, S van Heuven, D Vandemark, N Viovy, A Wiltshire, S Zaehle, and N Zeng (2015), Earth System Science Data, DOI:10.5194/essd-7-349-2015.",,1970-01-01T00:33:34,1970-01-01T00:31:10,"Tracking Earth's Carbon and Methane Budgets",http://www.earth-syst-sci-data.net/7/349/2015/essd-7-349-2015.html,"CC BY-NC. Creative Commons Attribution Non Commercial."
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/reducing-health-risks-extreme-heat,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/reducing-health-risks-extreme-heat,reducing-health-risks-extreme-heat,,"NOAA’s U.S. Temperature Hazards Outlook, available on the National Integrated Heat Health Information System web portal, provides a probabilistic estimate of where temperatures are expected to be either much below normal or much above normal, and where those conditions pose a hazard to life or property. The red outline indicates a 20% risk of temperatures much above normal. Short range forecasts and region-specific information are available through local National Weather Service Forecast Offices. (Source: NOAA). ",delivering-2012-2021-strategic-plan,,,,,,6,usgcrp-ocpfy2017,NOAA,,2016-06-16T00:00:00,2016-06-10T00:00:00,"Reducing the Health Risks of Extreme Heat",,"Public Domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/building-regional-collaboration-drought-resilience,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/building-regional-collaboration-drought-resilience,building-regional-collaboration-drought-resilience,,"Regional Drought Early Warning Systems under the National Integrated Drought Information System",delivering-2012-2021-strategic-plan,,,,,,7,usgcrp-ocpfy2017,NOAA,,,,"Building Regional Collaboration for Drought Resilience",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/successfully-predicting-large-2015-2016-el-nino,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/successfully-predicting-large-2015-2016-el-nino,successfully-predicting-large-2015-2016-el-nino,,"Forecast of the NINO3.4 index made by members of the North American Multi-Model Ensemble in June 2015. Individual model forecasts are indicated by colored lines; the ensemble average is the black dotted line. The NINO3.4 index is the sea-surface temperature anomaly (departure from average) in degrees centigrade (C), averaged across the region between +/- 5 degrees latitude and 170W to 120W longitude. An El Niño event is typically defined as the NINO3.4 index exceeding 0.4 C for a period of six months or more.",delivering-2012-2021-strategic-plan,,5N,-5S,120W,170W,8,usgcrp-ocpfy2017,NOAA,,2016-01-02T00:00:00,2015-01-07T00:00:00,"Successfully Predicting the Large 2015/2016 El Niño",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/providing-drought-information-farmers,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/delivering-2012-2021-strategic-plan/figure/providing-drought-information-farmers,providing-drought-information-farmers,,"Jamaican farmers discuss the drought outlook with agricultural-extension agents. When shared with farmers effectively, seasonal drought-related forecast information has been shown to significantly cut agricultural-production losses under drought conditions. (Source: Zack Guido).  ",delivering-2012-2021-strategic-plan,,,,,,9,usgcrp-ocpfy2017,,,,,"Providing Drought Information to Farmers",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/modeling-permafrost-response-climate-change,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/modeling-permafrost-response-climate-change,modeling-permafrost-response-climate-change,,"Model simulations showing the extent of permafrost loss and soil carbon change by 2100. As the climate warms, the permafrost boundary moves poleward; carbon losses from soils follow and loss rates persist long after the period of rapid thaw.",research-societal-needs,,,,,,1,usgcrp-ocpfy2017,"Koven, C.D., D.M. Lawrence, and W.J. Riley. 2015. Permafrost carbon−climate feedback is sensitive to deep soil carbon decomposability but not deep soil nitrogen dynamics. Proceedings of the National Academy of Sciences. http://www.pnas.org/content/112/12/3752.abstract  ",,2100-01-01T00:00:00,1900-01-01T00:00:00,"Modeling Permafrost Response to Climate Change",http://www.pnas.org/content/112/12/3752.abstract,"Anyone may, without requesting permission, use original figures or tables published in PNAS for noncommercial and educational use (i.e., in a review article, in a book that is not for sale), provided that the full journal reference is cited and, for articles published in volumes 90–105 (1993–2008), ""Copyright (copyright year) National Academy of Sciences."" Commercial reuse of figures and tables (i.e., in promotional materials, in a textbook for sale) requires permission from PNAS."
/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/improving-predictions-changing-arctic-ecosystems,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/improving-predictions-changing-arctic-ecosystems,improving-predictions-changing-arctic-ecosystems,,"The Next-Generation Ecosystems Experiment in the Arctic is integrating ecosystem observations with computational models to better understand, model, and predict climatically-important feedbacks from Arctic ecosystems. (Source: DOE).",research-societal-needs,,,,,,2,usgcrp-ocpfy2017,,,,,"Improving Predictions of Changing Arctic Ecosystems",,"Public domain"
/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/focusing-california-drought,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/focusing-california-drought,focusing-california-drought,,"U.S. Drought Monitor map of California from November 3, 2015, when 71% of the state was experiencing extreme or exceptional drought. The National Integrated Drought Information System (NIDIS) assimilates drought-related information, data and products used to produce the Drought Monitor. The NOAA Drought Task Force, a group organized by NOAA and NIDIS involving scientists across the USGCRP agencies, helped bring relevant science to decision makers during the drought, developing a timely assessment of the link between California droughts and El Niño events.",research-societal-needs,,,,,,3,usgcrp-ocpfy2017,NIDIS,,2015-11-09T00:00:00,2015-11-03T00:00:00,"Focusing on the California Drought",http://droughtmonitor.unl.edu/MapsAndData/MapArchive.aspx,"Public domain"
/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/tracking-methane-emissions-arctic-tundra,https://data.globalchange.gov/report/usgcrp-ocpfy2017/chapter/research-societal-needs/figure/tracking-methane-emissions-arctic-tundra,tracking-methane-emissions-arctic-tundra,,"Ten-day average of methane (CH4) flux measured by five eddy covariance (EC) towers over a 300-kilometer transect across the North Slope of Alaska (shaded bands) for 2013 (red) and 2014 (brown), with the mean (solid line), 95% confidence intervals (darker shade), and standard deviation in the CH4 data (lightest shade). The regional fluxes of CH4 calculated from Carbon in Arctic Reservoirs Vulnerability Experiment (Appendix I) aircraft data for the North Slope of Alaska are shown for 2012 (yellow circles), 2013 (red squares), and 2014 (brown diamonds). The mean dates for the onset of winter, the growing season, and the zero curtain are indicated in the band on top. Regional scale methane fluxes showed similar seasonal patterns to the five EC flux towers across multiple years. Source: Zona et al. 2016. ",research-societal-needs,,,,,,4,usgcrp-ocpfy2017,"Zona, D., B. Gioli, R. Commane, J. Lindaas, S.C. Wofsy, C.E. Miller, S.J. Dinardo, S. Dengel, C. Sweeney, A. Karion, R.Y.-W. Chang, J.M. Henderson, P.C. Murphy, J.P. Goodrich, V. Moreaux, A. Liljedahl, J.D. Watts, J.S. Kimball, D.A. Lipson, W.C. Oechel. 2015. Cold season emissions dominate the Arctic tundra methane budget. Proceedings of the National Academy of Sciences. http://www.pnas.org/content/113/1/40.full ",,,,"Tracking Methane Emissions from Arctic Tundra",http://www.pnas.org/content/113/1/40.full,"Anyone may, without requesting permission, use original figures or tables published in PNAS for noncommercial and educational use (i.e., in a review article, in a book that is not for sale), provided that the full journal reference is cited and, for articles published in volumes 90–105 (1993–2008), ""Copyright (copyright year) National Academy of Sciences."" Commercial reuse of figures and tables (i.e., in promotional materials, in a textbook for sale) requires permission from PNAS."