uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Title,"attrs.Type of Article",attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/6677226e-8dbf-4f43-a070-5950fd020a04,https://data.globalchange.gov/reference/6677226e-8dbf-4f43-a070-5950fd020a04,6677226e-8dbf-4f43-a070-5950fd020a04,"The Central Valley in California (USA) covers about 52,000 km2 and is one of the most productive agricultural regions in the world. This agriculture relies heavily on surface-water diversions and groundwater pumpage to meet irrigation water demand. Because the valley is semi-arid and surface-water availability varies substantially, agriculture relies heavily on local groundwater. In the southern two thirds of the valley, the San Joaquin Valley, historic and recent groundwater pumpage has caused significant and extensive drawdowns, aquifer-system compaction and subsidence. During recent drought periods (2007–2009 and 2012-present), groundwater pumping has increased owing to a combination of decreased surface-water availability and land-use changes. Declining groundwater levels, approaching or surpassing historical low levels, have caused accelerated and renewed compaction and subsidence that likely is mostly permanent. The subsidence has caused operational, maintenance, and construction-design problems for water-delivery and flood-control canals in the San Joaquin Valley. Planning for the effects of continued subsidence in the area is important for water agencies. As land use, managed aquifer recharge, and surface-water availability continue to vary, long-term groundwater-level and subsidence monitoring and modelling are critical to understanding the dynamics of historical and continued groundwater use resulting in additional water-level and groundwater storage declines, and associated subsidence. Modeling tools such as the Central Valley Hydrologic Model, can be used in the evaluation of management strategies to mitigate adverse impacts due to subsidence while also optimizing water availability. This knowledge will be critical for successful implementation of recent legislation aimed toward sustainable groundwater use.","Faunt, Claudia C.; Sneed, Michelle; Traum, Jon; Brandt, Justin T.",10.1007/s10040-015-1339-x,"May 01",1435-0157,3,"Hydrogeology Journal",675-684,"Water availability and land subsidence in the Central Valley, California, USA","journal article",24,2016,25269,6677226e-8dbf-4f43-a070-5950fd020a04,"Journal Article",/article/10.1007/s10040-015-1339-x
/reference/66fa5de6-5f51-4d35-a6dc-ecc243575ac6,https://data.globalchange.gov/reference/66fa5de6-5f51-4d35-a6dc-ecc243575ac6,66fa5de6-5f51-4d35-a6dc-ecc243575ac6,,"Wilbanks, Thomas J.; Bilello, D.; Schmalzer, D.; Scott, M.",,,,,,,"Climate Change and Energy Supply and Use. Technical Report to the U.S. Department of Energy in Support of the National Climate Assessment",,,2014,21391,66fa5de6-5f51-4d35-a6dc-ecc243575ac6,Book,/report/ornl-climchenergy-2012
/reference/6a236496-3436-481f-a3a4-ce35b52c0f0b,https://data.globalchange.gov/reference/6a236496-3436-481f-a3a4-ce35b52c0f0b,6a236496-3436-481f-a3a4-ce35b52c0f0b,,"McKenzie, D.
Peterson, D.L.
Littell, J.J.",10.1016/S1474-8177(08)00015-6,,,,,319-337,"Ch. 15: Global warming and stress complexes in forests of western North America",,8,2008,1953,6a236496-3436-481f-a3a4-ce35b52c0f0b,"Book Section",/book/90797532-c388-4ee0-8635-ea25b3261754
/reference/6b87bc9c-d8f5-438a-9693-7b33324f4c22,https://data.globalchange.gov/reference/6b87bc9c-d8f5-438a-9693-7b33324f4c22,6b87bc9c-d8f5-438a-9693-7b33324f4c22,,"Kopp, R.E.; D.R. Easterling; T. Hall; K. Hayhoe; R. Horton; K.E. Kunkel; A.N. LeGrande",10.7930/J0GB227J,,,,,411-429,"Potential Surprises: Compound Extremes and Tipping Elements",,,2017,21573,6b87bc9c-d8f5-438a-9693-7b33324f4c22,"Book Section",/report/climate-science-special-report/chapter/potential-surprises
/reference/6e8c3e16-343a-43bb-8476-6a4304a3464a,https://data.globalchange.gov/reference/6e8c3e16-343a-43bb-8476-6a4304a3464a,6e8c3e16-343a-43bb-8476-6a4304a3464a,,"Perrow, Charles",,,,,,,"Normal Accidents: Living with High Risk Technologies",,,2011,21412,6e8c3e16-343a-43bb-8476-6a4304a3464a,Book,/book/normal-accidents-living-high-risk-technologies
/reference/6ea115a7-00dc-4ac4-816d-270841586bba,https://data.globalchange.gov/reference/6ea115a7-00dc-4ac4-816d-270841586bba,6ea115a7-00dc-4ac4-816d-270841586bba,,"Shapiro, Shari",10.1080/09613218.2016.1156957,2016/08/17,0961-3218,5-6,"Building Research & Information",490-506,"The realpolitik of building codes: Overcoming practical limitations to climate resilience",,44,2016,25284,6ea115a7-00dc-4ac4-816d-270841586bba,"Journal Article",/article/10.1080/09613218.2016.1156957
/reference/6f4b0d29-f2b3-4bef-9c25-8b3bbf1fea9b,https://data.globalchange.gov/reference/6f4b0d29-f2b3-4bef-9c25-8b3bbf1fea9b,6f4b0d29-f2b3-4bef-9c25-8b3bbf1fea9b,,"Zanella, A.; N. Bui; A. Castellani; L. Vangelista; M. Zorzi",10.1109/JIOT.2014.2306328,,2327-4662,1,"IEEE Internet of Things Journal",22-32,"Internet of things for smart cities",,1,2014,21389,6f4b0d29-f2b3-4bef-9c25-8b3bbf1fea9b,"Journal Article",/article/10.1109/JIOT.2014.2306328
/reference/6f504af2-a3a0-46c3-a8bd-9f5f266bd5bf,https://data.globalchange.gov/reference/6f504af2-a3a0-46c3-a8bd-9f5f266bd5bf,6f504af2-a3a0-46c3-a8bd-9f5f266bd5bf,,"Klein, R. J. T.; Midgley, G. F.; Preston, B. L.; Alam, M.; Berkhout, F. G. H.; Dow, K.; Shaw, M. R.",,,,,,899-943,"Adaptation opportunities, constraints, and limits",,,2014,17687,6f504af2-a3a0-46c3-a8bd-9f5f266bd5bf,"Book Section",/report/ipcc-ar5-wg2-parta/chapter/wg2-ar5-chap16-final
/reference/6fe6f42c-4d13-4d5c-9359-e76e276e90a3,https://data.globalchange.gov/reference/6fe6f42c-4d13-4d5c-9359-e76e276e90a3,6fe6f42c-4d13-4d5c-9359-e76e276e90a3,"Complexities and uncertainties surrounding urbanization and climate change complicate water resource sustainability. Although research has examined various aspects of complex water systems, including uncertainties, relatively few attempts have been made to synthesize research findings in particular contexts. We fill this gap by examining the complexities, uncertainties, and decision processes for water sustainability and urban adaptation to climate change in the case study region of Phoenix, Arizona. In doing so, we integrate over a decade of research conducted by Arizona State University’s Decision Center for a Desert City (DCDC). DCDC is a boundary organization that conducts research in collaboration with policy makers, with the goal of informing decision-making under uncertainty. Our results highlight: the counterintuitive, non-linear, and competing relationships in human–environment dynamics; the myriad uncertainties in climatic, scientific, political, and other domains of knowledge and practice; and, the social learning that has occurred across science and policy spheres. Finally, we reflect on how our interdisciplinary research and boundary organization has evolved over time to enhance adaptive and sustainable governance in the face of complex system dynamics.","Larson, Kelli; White, Dave; Gober, Patricia; Wutich, Amber",,,2071-1050,11,Sustainability,14761-14784,"Decision-making under uncertainty for water sustainability and urban climate change adaptation",,7,2015,22773,6fe6f42c-4d13-4d5c-9359-e76e276e90a3,"Journal Article",/article/decision-making-under-uncertainty-water-sustainability-urban-climate-change-adaptation
/reference/747e6b30-6afc-4520-af4b-660389e167ba,https://data.globalchange.gov/reference/747e6b30-6afc-4520-af4b-660389e167ba,747e6b30-6afc-4520-af4b-660389e167ba,,"Ernst, Kathleen M.; Preston, Benjamin L.",10.1016/j.envsci.2017.01.001,4//,1462-9011,,"Environmental Science & Policy",38-45,"Adaptation opportunities and constraints in coupled systems: Evidence from the U.S. energy-water nexus",,70,2017,21444,747e6b30-6afc-4520-af4b-660389e167ba,"Journal Article",/article/10.1016/j.envsci.2017.01.001
/reference/75dd41da-a739-4ec3-a365-d72465c80b70,https://data.globalchange.gov/reference/75dd41da-a739-4ec3-a365-d72465c80b70,75dd41da-a739-4ec3-a365-d72465c80b70,,"Kenward, Alyson; Raja, Urooj",,,,,,23,"Blackout: Extreme Weather, Climate Change and Power Outages",,,2014,25300,75dd41da-a739-4ec3-a365-d72465c80b70,Report,/report/blackout-extreme-weather-climate-change-power-outages
/reference/78342524-50c8-4468-8127-49c52ac213c5,https://data.globalchange.gov/reference/78342524-50c8-4468-8127-49c52ac213c5,78342524-50c8-4468-8127-49c52ac213c5,,"U.S.-Canada Power System Outage Task Force,",,,,,,228,"August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations. Final Report",,,2004,25309,78342524-50c8-4468-8127-49c52ac213c5,Report,/report/august-14-2003-blackout-united-states-canada-causes-recommendations-final-report
/reference/7888f243-1665-47b2-8c11-015c30dce492,https://data.globalchange.gov/reference/7888f243-1665-47b2-8c11-015c30dce492,7888f243-1665-47b2-8c11-015c30dce492,,"Bramer, L. M.; Rounds, J.; Burleyson, C. D.; Fortin, D.; Hathaway, J.; Rice, J.; Kraucunas, I.",10.1016/j.apenergy.2017.09.087,,0306-2619,,"Applied Energy",,"Evaluating penalized logistic regression models to predict heat-related electric grid stress days",,,2017,21385,7888f243-1665-47b2-8c11-015c30dce492,"Journal Article",/article/10.1016/j.apenergy.2017.09.087
/reference/789d82f1-e7af-441d-b991-127e2cb90926,https://data.globalchange.gov/reference/789d82f1-e7af-441d-b991-127e2cb90926,789d82f1-e7af-441d-b991-127e2cb90926,,"Blomdahl, Karl Sundequist; Pierre Flener; Justin Pearson",,,,,,643-657,"Contingency plans for air traffic management",,,2010,21462,789d82f1-e7af-441d-b991-127e2cb90926,"Book Section",/book/bcba8a25-d65b-412d-a3e3-93fb89014b34
/reference/78f2cbd8-d8f2-4d99-abbd-017bad4d52f1,https://data.globalchange.gov/reference/78f2cbd8-d8f2-4d99-abbd-017bad4d52f1,78f2cbd8-d8f2-4d99-abbd-017bad4d52f1,,,,"December 2012",,,,,"Effects of Climatic Variability and Change on Forest Ecosystems: A Comprehensive Science Synthesis for the U.S. Forest Sector. General Technical Report PNW-GTR-870",,,2012,3307,78f2cbd8-d8f2-4d99-abbd-017bad4d52f1,"Edited Book",/report/usfs-pnw-gtr-870
/reference/7ab8b14a-38c7-4128-b0e3-fe1ab65edac0,https://data.globalchange.gov/reference/7ab8b14a-38c7-4128-b0e3-fe1ab65edac0,7ab8b14a-38c7-4128-b0e3-fe1ab65edac0,,"NRC,",,,,,,,"Informing Decisions in a Changing Climate",,,2009,2294,7ab8b14a-38c7-4128-b0e3-fe1ab65edac0,Book,/report/nrc-inform-decisions-2009
/reference/7ba2752c-4235-47bd-b854-40cde9dc2649,https://data.globalchange.gov/reference/7ba2752c-4235-47bd-b854-40cde9dc2649,7ba2752c-4235-47bd-b854-40cde9dc2649,,"Janetos, A.C.
Clarke, L.
Collins, B.
Ebi, K.
Edmonds, J.
Foster, I.
Jacoby, J.
Judd, K.
Leung, R.
Newell, R.",,,,,,80,"Science Challenges and Future Directions: Climate Change Integrated Assessment Research. Report PNNL-18417",,,2009,1498,7ba2752c-4235-47bd-b854-40cde9dc2649,Report,/report/pnnl-18417
/reference/7d520322-84aa-4830-88c3-ead7d36b593c,https://data.globalchange.gov/reference/7d520322-84aa-4830-88c3-ead7d36b593c,7d520322-84aa-4830-88c3-ead7d36b593c,,"EPA,",,,,,,,"Hurricane Harvey 2017 [web site]",,,2017,25929,7d520322-84aa-4830-88c3-ead7d36b593c,"Web Page",/webpage/ad9e30bd-1fe6-4395-8db8-9a849e8ed04b
/reference/7edc5360-aa30-4fb3-a339-d7fe0fc6b6be,https://data.globalchange.gov/reference/7edc5360-aa30-4fb3-a339-d7fe0fc6b6be,7edc5360-aa30-4fb3-a339-d7fe0fc6b6be,"A decline in the stature and abundance of willows during the 20th century occurred throughout the northern range of Yellowstone National Park, where riparian woody‐plant communities are key components in multiple‐trophic‐level interactions. The potential causes of willow decline include climate change, increased elk browsing coincident with the loss of an apex predator, the gray wolf, and an absence of habitat engineering by beavers. The goal of this study was to determine the spatial and temporal patterns of willow establishment through the 20th century and to identify causal processes. Sampled willows established from 1917 to 1999 and contained far fewer young individuals than was predicted from a modeled stable willow population, indicating reduced establishment during recent decades. Two hydrologically distinct willow establishment environments were identified: fine‐grained beaver pond sediments and coarse‐grained alluvium. Willows established on beaver pond sediment earlier in time, higher on floodplain surfaces, and farther from the current stream channel than did willows on alluvial sediment. Significant linear declines from the 1940s to the 1990s in alluvial willow establishment elevation and lateral distance from the stream channel resulted in a much reduced area of alluvial willow establishment. Willow establishment was not well correlated with climate‐driven hydrologic variables, but the trends were consistent with the effects of stream channel incision initiated in ca. 1950, 20–30 years after beaver dam abandonment. Radiocarbon dates and floodplain stratigraphy indicate that stream incision of the present magnitude may be unprecedented in the past two millennia. We propose that hydrologic changes, stemming from competitive exclusion of beaver by elk overbrowsing, caused the landscape to transition from a historical beaver‐pond and willow‐mosaic state to its current alternative stable state where active beaver dams and many willow stands are absent. Because of hydrologic changes in streams, a rapid return to the historical state may not occur by reduction of elk browsing alone. Management intervention to restore the historical hydrologic regime may be necessary to recover willows and beavers across the landscape.","Wolf, Evan C.; David J. Cooper; N. Thompson Hobbs",10.1890/06-2042.1,,,6,"Ecological Applications",1572-1587,"Hydrologic regime and herbivory stabilize an alternative state in Yellowstone National Park",,17,2007,25279,7edc5360-aa30-4fb3-a339-d7fe0fc6b6be,"Journal Article",/article/10.1890/06-2042.1
/reference/7ee8e741-d369-48d9-84c9-4a660e1d2b26,https://data.globalchange.gov/reference/7ee8e741-d369-48d9-84c9-4a660e1d2b26,7ee8e741-d369-48d9-84c9-4a660e1d2b26,,,,,,,,,"Harvey throws a wrench into US energy engine",,,2017,25303,7ee8e741-d369-48d9-84c9-4a660e1d2b26,"Newspaper Article",/generic/c9323502-a934-4234-8b14-29456b9f1796
/reference/828795a3-29d2-4d70-90c7-33a75ba99575,https://data.globalchange.gov/reference/828795a3-29d2-4d70-90c7-33a75ba99575,828795a3-29d2-4d70-90c7-33a75ba99575,,"Maloney, Megan C.; Preston, Benjamin L.",10.1016/j.crm.2014.02.004,2014/01/01/,2212-0963,,"Climate Risk Management",26-41,"A geospatial dataset for U.S. hurricane storm surge and sea-level rise vulnerability: Development and case study applications",,2,2014,21331,828795a3-29d2-4d70-90c7-33a75ba99575,"Journal Article",/article/10.1016/j.crm.2014.02.004
/reference/82abbb5d-1c8e-4178-82c3-249fb0fdf168,https://data.globalchange.gov/reference/82abbb5d-1c8e-4178-82c3-249fb0fdf168,82abbb5d-1c8e-4178-82c3-249fb0fdf168,,"Eldredge, Niles, and Stephen Jay Gould",,,,,,82-115,"Punctuated equilibria: An alternative to phyletic gradualism",,,1972,21445,82abbb5d-1c8e-4178-82c3-249fb0fdf168,"Book Section",/book/d1870c8d-bea7-4eac-bf18-45badcbf0555
/reference/843b8feb-de6f-42be-88f9-657915e75601,https://data.globalchange.gov/reference/843b8feb-de6f-42be-88f9-657915e75601,843b8feb-de6f-42be-88f9-657915e75601,,"Oppenheimer, Michael; Little, Christopher M.; Cooke, Roger M.",10.1038/nclimate2959,04/27/online,,,"Nature Climate Change",445-451,"Expert judgement and uncertainty quantification for climate change",Perspective,6,2016,25287,843b8feb-de6f-42be-88f9-657915e75601,"Journal Article",/article/10.1038/nclimate2959
/reference/87e9e534-034f-450c-b205-f268be5c2152,https://data.globalchange.gov/reference/87e9e534-034f-450c-b205-f268be5c2152,87e9e534-034f-450c-b205-f268be5c2152,,"Simon, Herbert A.",,,,,,3-14,"Can there be a science of complex systems?",,,2000,21403,87e9e534-034f-450c-b205-f268be5c2152,"Conference Paper",/generic/353cabe8-5993-46f4-9c7a-b086f9d098e3
/reference/89e08a41-6091-45fa-a92e-6168a90a8151,https://data.globalchange.gov/reference/89e08a41-6091-45fa-a92e-6168a90a8151,89e08a41-6091-45fa-a92e-6168a90a8151,"California is currently in the midst of a record-setting drought. The drought began in 2012 and now includes the lowest calendar-year and 12-mo precipitation, the highest annual temperature, and the most extreme drought indicators on record. The extremely warm and dry conditions have led to acute water shortages, groundwater overdraft, critically low streamflow, and enhanced wildfire risk. Analyzing historical climate observations from California, we find that precipitation deficits in California were more than twice as likely to yield drought years if they occurred when conditions were warm. We find that although there has not been a substantial change in the probability of either negative or moderately negative precipitation anomalies in recent decades, the occurrence of drought years has been greater in the past two decades than in the preceding century. In addition, the probability that precipitation deficits co-occur with warm conditions and the probability that precipitation deficits produce drought have both increased. Climate model experiments with and without anthropogenic forcings reveal that human activities have increased the probability that dry precipitation years are also warm. Further, a large ensemble of climate model realizations reveals that additional global warming over the next few decades is very likely to create ∼100% probability that any annual-scale dry period is also extremely warm. We therefore conclude that anthropogenic warming is increasing the probability of co-occurring warm–dry conditions like those that have created the acute human and ecosystem impacts associated with the “exceptional” 2012–2014 drought in California.","Diffenbaugh, Noah S.; Swain, Daniel L.; Touma, Danielle",10.1073/pnas.1422385112,"March 31, 2015",,13,"Proceedings of the National Academy of Sciences of the United States of America",3931-3936,"Anthropogenic warming has increased drought risk in California",,112,2015,19545,89e08a41-6091-45fa-a92e-6168a90a8151,"Journal Article",/article/10.1073/pnas.1422385112