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"