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/2a93c37c-fb44-4772-9f9d-3941fc377072,https://data.globalchange.gov/reference/2a93c37c-fb44-4772-9f9d-3941fc377072,2a93c37c-fb44-4772-9f9d-3941fc377072,"The USGS Multihazards Project is working with numerous agencies to evaluate and plan for hazards and damages that could be caused by extreme winter storms impacting California. Atmospheric and hydrological aspects of a hypothetical storm scenario have been quantified as a basis for estimation of human, infrastructure, economic, and environmental impacts for emergency-preparedness and flood-planning exercises. In order to ensure scientific defensibility and necessary levels of detail in the scenario description, selected historical storm episodes were concatentated to describe a rapid arrival of several major storms over the state, yielding precipitation totals and runoff rates beyond those occurring during the individual historical storms. This concatenation allowed the scenario designers to avoid arbitrary scalings and is based on historical occasions from the 19th and 20th Centuries when storms have stalled over the state and when extreme storms have arrived in rapid succession. Dynamically consistent, hourly precipitation, temperatures, barometric pressures (for consideration of storm surges and coastal erosion), and winds over California were developed for the so-called ARkStorm scenario by downscaling the concatenated global records of the historical storm sequences onto 6- and 2-km grids using a regional weather model of January 1969 and February 1986 storm conditions. The weather model outputs were then used to force a hydrologic model to simulate ARkStorm runoff, to better understand resulting flooding risks. Methods used to build this scenario can be applied to other emergency, nonemergency and non-California applications.","Dettinger, Michael D.; Martin Ralph, F.; Hughes, Mimi; Das, Tapash; Neiman, Paul; Cox, Dale; Estes, Gary; Reynolds, David; Hartman, Robert; Cayan, Daniel; Jones, Lucy",10.1007/s11069-011-9894-5,"February 01",1573-0840,3,"Natural Hazards",1085-1111,"Design and quantification of an extreme winter storm scenario for emergency preparedness and planning exercises in California","journal article",60,2012,21450,2a93c37c-fb44-4772-9f9d-3941fc377072,"Journal Article",/article/10.1007/s11069-011-9894-5
/reference/352c6342-f185-4370-81b4-60ad59f1baa0,https://data.globalchange.gov/reference/352c6342-f185-4370-81b4-60ad59f1baa0,352c6342-f185-4370-81b4-60ad59f1baa0,,"Phillips, Robert A.; Schwartz, Roberta L.; McKeon, William F.; Boom, Marc L.",,,,,,,,,,2017,25306,352c6342-f185-4370-81b4-60ad59f1baa0,Blog,/webpage/f2588206-1c60-4586-af85-5bbaad08fc7d
/reference/384a5db4-d03c-496f-9de5-af594c199715,https://data.globalchange.gov/reference/384a5db4-d03c-496f-9de5-af594c199715,384a5db4-d03c-496f-9de5-af594c199715,"Consideration of water supply in transmission expansion planning (TEP) provides a valuable means of managing impacts of thermoelectric generation on limited water resources. Toward this opportunity, thermoelectric water intensity factors and water supply availability (fresh and non-fresh sources) were incorporated into a recent TEP exercise conducted for the electric interconnection in the Western United States. The goal was to inform the placement of new thermoelectric generation so as to minimize issues related to water availability. Although freshwater availability is limited in the West, few instances across five TEP planning scenarios were encountered where water availability impacted the development of new generation. This unexpected result was related to planning decisions that favored the development of low water use generation that was geographically dispersed across the West. These planning decisions were not made because of their favorable influence on thermoelectric water demand; rather, on the basis of assumed future fuel and technology costs, policy drivers and the topology of electricity demand. Results also projected that interconnection-wide thermoelectric water consumption would increase by 31% under the business-as-usual case, while consumption would decrease by 42% under a scenario assuming a low-carbon future. Except in a few instances, new thermoelectric water consumption could be accommodated with less than 10% of the local available water supply; however, limited freshwater supplies and state-level policies could increase use of non-fresh water sources for new thermoelectric generation. Results could have been considerably different if scenarios favoring higher-intensity water use generation technology or potential impacts of climate change had been explored. Conduct of this exercise highlighted the importance of integrating water into all phases of TEP, particularly joint management of decisions that are both directly (e.g., water availability constraint) and indirectly (technology or policy constraints) related to future thermoelectric water demand, as well as, the careful selection of scenarios that adequately bound the potential dimensions of water impact.","Tidwell, Vincent C.; Michael Bailey; Katie M. Zemlick; Barbara D. Moreland",10.1088/1748-9326/11/12/124001,,1748-9326,12,"Environmental Research Letters",124001,"Water supply as a constraint on transmission expansion planning in the Western interconnection",,11,2016,25281,384a5db4-d03c-496f-9de5-af594c199715,"Journal Article",/article/10.1088/1748-9326/11/12/124001
/reference/38a397d4-812d-4af6-98fb-8f74dd8632ac,https://data.globalchange.gov/reference/38a397d4-812d-4af6-98fb-8f74dd8632ac,38a397d4-812d-4af6-98fb-8f74dd8632ac,,"Dawson, Richard J.",10.3390/cli3041079,,2225-1154,4,Climate,1079-1096,"Handling interdependencies in climate change risk assessment",,3,2015,23013,38a397d4-812d-4af6-98fb-8f74dd8632ac,"Journal Article",/article/10.3390/cli3041079
/reference/3a3f902e-2ac4-4692-a799-5847739302e0,https://data.globalchange.gov/reference/3a3f902e-2ac4-4692-a799-5847739302e0,3a3f902e-2ac4-4692-a799-5847739302e0,,"Ouyang, Min; Wang, Zhenghua",10.1016/j.ress.2015.03.011,9//,0951-8320,,"Reliability Engineering & System Safety",74-82,"Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis",,141,2015,21415,3a3f902e-2ac4-4692-a799-5847739302e0,"Journal Article",/article/10.1016/j.ress.2015.03.011
/reference/3b60ac0e-ac78-4058-9d7b-dd70797ac334,https://data.globalchange.gov/reference/3b60ac0e-ac78-4058-9d7b-dd70797ac334,3b60ac0e-ac78-4058-9d7b-dd70797ac334,,"Moss, Richard H.; Karen Fisher-Vanden; Alison Delgado; Scott Backhaus; Christopher L. Barrett; Budhendra Bhaduri; Ian P. Kraucunas; Patrick M. Reed; Jennie S. Rice; Ian Sue Wing; Claudia Tebaldi",,,,,,,"Understanding Dynamics and Resilience in Complex Interdependent Systems: Prospects for a Multi-Model Framework and Community of Practice ",,,2016,21420,3b60ac0e-ac78-4058-9d7b-dd70797ac334,Report,/report/understanding-dynamics-resilience-complex-interdependent-systems-prospects-multi-model-framework-community-practice
/reference/3e254999-7a58-44f8-9cc8-adfdf88e240f,https://data.globalchange.gov/reference/3e254999-7a58-44f8-9cc8-adfdf88e240f,3e254999-7a58-44f8-9cc8-adfdf88e240f,"Policy directives in several nations are focusing on the development of smart cities, linking innovations in the data sciences with the goal of advancing human well-being and sustainability on a highly urbanized planet. To achieve this goal, smart initiatives must move beyond city-level data to a higher-order understanding of cities as transboundary, multisectoral, multiscalar, social-ecological-infrastructural systems with diverse actors, priorities, and solutions. We identify five key dimensions of cities and present eight principles to focus attention on the systems-level decisions that society faces to transition toward a smart, sustainable, and healthy urban future.","Ramaswami, Anu; Russell, Armistead G.; Culligan, Patricia J.; Sharma, Karnamadakala Rahul; Kumar, Emani",10.1126/science.aaf7160,,,6288,Science,940-943,"Meta-principles for developing smart, sustainable, and healthy cities",,352,2016,21408,3e254999-7a58-44f8-9cc8-adfdf88e240f,"Journal Article",/article/10.1126/science.aaf7160
/reference/3f3b736d-974d-42a5-939d-c52f515a2b35,https://data.globalchange.gov/reference/3f3b736d-974d-42a5-939d-c52f515a2b35,3f3b736d-974d-42a5-939d-c52f515a2b35,,"DeNooyer, Tyler A.; Peschel, Joshua M.; Zhang, Zhenxing; Stillwell, Ashlynn S.",10.1016/j.apenergy.2015.10.071,2016/01/15/,0306-2619,,"Applied Energy",363-371,"Integrating water resources and power generation: The energy–water nexus in Illinois",,162,2016,21449,3f3b736d-974d-42a5-939d-c52f515a2b35,"Journal Article",/article/10.1016/j.apenergy.2015.10.071
/reference/3fcff817-d5a8-4aaa-8932-a433d1262798,https://data.globalchange.gov/reference/3fcff817-d5a8-4aaa-8932-a433d1262798,3fcff817-d5a8-4aaa-8932-a433d1262798,,"Voisin, N.; Kintner-Meyer, M.; Skaggs, R.; Nguyen, T.; Wu, D.; Dirks, J.; Xie, Y.; Hejazi, M.",10.1016/j.energy.2016.08.059,2016/11/15/,0360-5442,,Energy,1-12,"Vulnerability of the US western electric grid to hydro-climatological conditions: How bad can it get?",,115,2016,25276,3fcff817-d5a8-4aaa-8932-a433d1262798,"Journal Article",/article/10.1016/j.energy.2016.08.059
/reference/4067a093-f6b2-4083-a52c-9a8b30c45b66,https://data.globalchange.gov/reference/4067a093-f6b2-4083-a52c-9a8b30c45b66,4067a093-f6b2-4083-a52c-9a8b30c45b66,,"Lempert, R.J.
Popper, S.W.
Bankes, S.C.",,,,,,,"Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis",,,2003,1528,4067a093-f6b2-4083-a52c-9a8b30c45b66,Book,/report/rand-mr1626
/reference/42960847-fc10-4b7c-af30-5b3416b3b9cd,https://data.globalchange.gov/reference/42960847-fc10-4b7c-af30-5b3416b3b9cd,42960847-fc10-4b7c-af30-5b3416b3b9cd,,"Korkali, Mert; Veneman, Jason G.; Tivnan, Brian F.; Bagrow, James P.; Hines, Paul D. H.",10.1038/srep44499,03/20/online,,,"Scientific Reports",44499,"Reducing cascading failure risk by increasing infrastructure network interdependence",Article,7,2017,25289,42960847-fc10-4b7c-af30-5b3416b3b9cd,"Journal Article",/article/10.1038/srep44499
/reference/42c619a3-768b-4a22-9dd6-73b52af9426c,https://data.globalchange.gov/reference/42c619a3-768b-4a22-9dd6-73b52af9426c,42c619a3-768b-4a22-9dd6-73b52af9426c,"The elicitation of scientific and technical judgments from experts, in the form of subjective probability distributions, can be a valuable addition to other forms of evidence in support of public policy decision making. This paper explores when it is sensible to perform such elicitation and how that can best be done. A number of key issues are discussed, including topics on which there are, and are not, experts who have knowledge that provides a basis for making informed predictive judgments; the inadequacy of only using qualitative uncertainty language; the role of cognitive heuristics and of overconfidence; the choice of experts; the development, refinement, and iterative testing of elicitation protocols that are designed to help experts to consider systematically all relevant knowledge when they make their judgments; the treatment of uncertainty about model functional form; diversity of expert opinion; and when it does or does not make sense to combine judgments from different experts. Although it may be tempting to view expert elicitation as a low-cost, low-effort alternative to conducting serious research and analysis, it is neither. Rather, expert elicitation should build on and use the best available research and analysis and be undertaken only when, given those, the state of knowledge will remain insufficient to support timely informed assessment and decision making.","Morgan, M. Granger",10.1073/pnas.1319946111,"May 20, 2014",,20,"Proceedings of the National Academy of Sciences of the United States of America",7176-7184,"Use (and abuse) of expert elicitation in support of decision making for public policy",,111,2014,21386,42c619a3-768b-4a22-9dd6-73b52af9426c,"Journal Article",/article/10.1073/pnas.1319946111
/reference/4716cc4e-32cb-47cd-aa8c-4dded908b214,https://data.globalchange.gov/reference/4716cc4e-32cb-47cd-aa8c-4dded908b214,4716cc4e-32cb-47cd-aa8c-4dded908b214,,"Bond, Craig A.; Aaron Strong; Nicholas Burger; Sarah Weilant; Uzaib Saya; Anita Chandra",10.7249/RR2129,,,,,159,"Resilience Dividend Valuation Model: Framework Development and Initial Case Studies",,,2017,25307,4716cc4e-32cb-47cd-aa8c-4dded908b214,Report,/report/resilience-dividend-valuation-model-framework-development-initial-case-studies
/reference/47e41b82-b7e0-470a-a423-5d9f60aec415,https://data.globalchange.gov/reference/47e41b82-b7e0-470a-a423-5d9f60aec415,47e41b82-b7e0-470a-a423-5d9f60aec415,"Transformation as an adaptive response to climate change opens a range of novel policy options. Used to describe responses that produce non-linear changes in systems or their host social and ecological environments, transformation also raises distinct ethical and procedural questions for decision-makers. Expanding adaptation to include transformation foregrounds questions of power and preference that have so far been underdeveloped in adaptation theory and practice. We build on David Harvey’s notion of activity space to derive a framework and research agenda for climate change adaptation seen as a political decision-point and as an opportunity for transformation, incremental adjustment or resistance to change in development pathway. Decision-making is unpacked through the notion of the activity space into seven coevolving sites: the individual, technology, livelihoods, discourse, behaviour, the environment and institutions. The framework is tested against practitioner priorities to define an agenda that can make coherent advances in research and practice on climate change adaptation.","Pelling, Mark; O’Brien, Karen; Matyas, David",10.1007/s10584-014-1303-0,"November 01",1573-1480,1,"Climatic Change",113-127,"Adaptation and transformation","journal article",133,2015,25286,47e41b82-b7e0-470a-a423-5d9f60aec415,"Journal Article",/article/10.1007/s10584-014-1303-0
/reference/4ae24352-4325-4cec-862e-7f8064485d6d,https://data.globalchange.gov/reference/4ae24352-4325-4cec-862e-7f8064485d6d,4ae24352-4325-4cec-862e-7f8064485d6d,,"Ke, Xinda; Wu, Di; Rice, Jennie; Kintner-Meyer, Michael; Lu, Ning",10.1016/j.apenergy.2016.08.188,2016/12/01/,0306-2619,,"Applied Energy",504-512,"Quantifying impacts of heat waves on power grid operation",,183,2016,25272,4ae24352-4325-4cec-862e-7f8064485d6d,"Journal Article",/article/10.1016/j.apenergy.2016.08.188
/reference/4e6aec90-125c-4525-b0d7-ff223b11c887,https://data.globalchange.gov/reference/4e6aec90-125c-4525-b0d7-ff223b11c887,4e6aec90-125c-4525-b0d7-ff223b11c887,,"Hwang, Cheinway; Yang, Yuande; Kao, Ricky; Han, Jiancheng; Shum, C. K.; Galloway, Devin L.; Sneed, Michelle; Hung, Wei-Chia; Cheng, Yung-Sheng; Li, Fei",10.1038/srep28160,06/21/online,,,"Scientific Reports",28160,"Time-varying land subsidence detected by radar altimetry: California, Taiwan and North China",Article,6,2016,21429,4e6aec90-125c-4525-b0d7-ff223b11c887,"Journal Article",/article/10.1038/srep28160
/reference/4f71b796-1b9b-4917-b1e5-d6ff3aa51055,https://data.globalchange.gov/reference/4f71b796-1b9b-4917-b1e5-d6ff3aa51055,4f71b796-1b9b-4917-b1e5-d6ff3aa51055,,"NPS,",,,,,,,"Wolf Restoration [web page]",,,2017,25302,4f71b796-1b9b-4917-b1e5-d6ff3aa51055,"Web Page",/webpage/8aa3a7db-53f3-472f-8367-cb3fef4e5a4c
/reference/51081935-d488-42bd-896f-f188b30e951e,https://data.globalchange.gov/reference/51081935-d488-42bd-896f-f188b30e951e,51081935-d488-42bd-896f-f188b30e951e,,"Giordano, Thierry",10.1016/j.jup.2012.07.001,2012/12/01/,0957-1787,,"Utilities Policy",80-89,"Adaptive planning for climate resilient long-lived infrastructures",,23,2012,21438,51081935-d488-42bd-896f-f188b30e951e,"Journal Article",/article/10.1016/j.jup.2012.07.001
/reference/53f0bf93-d4cf-4656-ba6e-2aaf70bd6a0a,https://data.globalchange.gov/reference/53f0bf93-d4cf-4656-ba6e-2aaf70bd6a0a,53f0bf93-d4cf-4656-ba6e-2aaf70bd6a0a,"The interactions between natural water availability and societal water demand and management are complex. In response to gaps in empirical research of the adaptive capacity of social and environmental systems to climate stresses, we provide an assessment of responses to water scarcity during a multi-year drought in California. In particular, we use Barnett and O’Neill’s (Global Environ Change 20:211–213, 2010) criteria for maladaptation to examine responses in the agricultural and energy sectors to a multi-year (2007–2009) California drought. We conclude that despite evidence in both sectors of resiliency to the impacts of the drought, some of the coping strategies adopted increased the vulnerability of other systems. These other systems include California’s aquatic ecosystems and social groups that rely on those ecosystems for their health or employment; future generations whose resources were drawn down in the near-term, where otherwise those resources would have been available at a later time; and current and future generations who were, or will be, exposed to the effects of increased greenhouse gas emissions. This case study demonstrates that California’s current strategies for dealing with long or severe droughts are less successful than previously thought when short- and long-term impacts are evaluated together. This finding is particularly relevant given projections of more frequent and severe water shortages in the future due to climate change. This study recommends a shift from crisis-driven responses to the development and enactment of long-term mitigation measures that are anticipatory and focus on comprehensive risk reduction.","Christian-Smith, Juliet; Levy, Morgan C.; Gleick, Peter H.",10.1007/s11625-014-0269-1,"July 01",1862-4057,3,"Sustainability Science",491-501,"Maladaptation to drought: A case report from California, USA","journal article",10,2015,21457,53f0bf93-d4cf-4656-ba6e-2aaf70bd6a0a,"Journal Article",/article/10.1007/s11625-014-0269-1
/reference/552cc5f5-a7b3-4a64-8bee-98ae0cced150,https://data.globalchange.gov/reference/552cc5f5-a7b3-4a64-8bee-98ae0cced150,552cc5f5-a7b3-4a64-8bee-98ae0cced150,,"Skaggs, R.
Hibbard, K.
Frumhoff, Peter
Lowry, Thomas
Middleton, Richard
Pate, Ron
Tidwell, Vince
Arnold, Jeffrey
Avert, Kristen
Janetos, Anthony
Izaurralde, Cesar
Rice, Jennie
Rose, Steve",,,,,,152,"Climate and Energy-Water-Land System Interactions. Technical Report to the U.S. Department of Energy in Support of the National Climate Assessment. PNNL-21185",,,2012,2862,552cc5f5-a7b3-4a64-8bee-98ae0cced150,Report,/report/pnnl-21185
/reference/57da6191-41b4-48a5-8fe6-0d55fd26a01b,https://data.globalchange.gov/reference/57da6191-41b4-48a5-8fe6-0d55fd26a01b,57da6191-41b4-48a5-8fe6-0d55fd26a01b,,"Dunn-Cavelty, Myriam; Suter, Manuel",10.1016/j.ijcip.2009.08.006,2009/12/01/,1874-5482,4,"International Journal of Critical Infrastructure Protection",179-187,"Public–Private Partnerships are no silver bullet: An expanded governance model for Critical Infrastructure Protection",,2,2009,21446,57da6191-41b4-48a5-8fe6-0d55fd26a01b,"Journal Article",/article/10.1016/j.ijcip.2009.08.006
/reference/5c8bfa52-fbc1-46bd-859d-d335cd10da1c,https://data.globalchange.gov/reference/5c8bfa52-fbc1-46bd-859d-d335cd10da1c,5c8bfa52-fbc1-46bd-859d-d335cd10da1c,"The global demand for water and energy is projected to grow, but there likely will be significant constraints in our ability to keep meeting it. These constraints will be imposed partly by the interdependence between water, energy, and climate change. If left unchecked, these connections can exacerbate water and energy shortages and aggravate climate change impacts: Energy is used to supply and treat water; moreover, emissions from energy generation contribute to climate change, which affects water supplies and increases the demand for energy to sustain Earth’s growing population and economy. The linkage between water and energy can offer opportunities for better meeting expected demand while minimizing damage from shortages of either. This article focuses on the technological and engineering aspects of various connections in the water-energy nexus where advancements can enable greater supply of one or both. It also outlines the benefits and challenges associated with each connection. Expected final online publication date for the Annual Review of Environment and Resources Volume 42 is October 17, 2017. Please see ; http://www.annualreviews.org/page/journal/pubdates;  for revised estimates.","Rao, Prakash; Robert Kostecki; Larry Dale; Ashok Gadgil",10.1146/annurev-environ-102016-060959,,,1,"Annual Review of Environment and Resources",407-437,"Technology and engineering of the water-energy nexus",,42,2017,21407,5c8bfa52-fbc1-46bd-859d-d335cd10da1c,"Journal Article",/article/10.1146/annurev-environ-102016-060959
/reference/5e9e38bc-040a-4201-a2c0-62d9916f7089,https://data.globalchange.gov/reference/5e9e38bc-040a-4201-a2c0-62d9916f7089,5e9e38bc-040a-4201-a2c0-62d9916f7089,,"Heeres, Niels; Tillema, Taede; Arts, Jos",10.1080/14649357.2016.1193888,2016/07/02,1464-9357,3,"Planning Theory & Practice",421-443,"Dealing with interrelatedness and fragmentation in road infrastructure planning: An analysis of integrated approaches throughout the planning process in the Netherlands",,17,2016,21433,5e9e38bc-040a-4201-a2c0-62d9916f7089,"Journal Article",/article/10.1080/14649357.2016.1193888
/reference/5ec155e5-8b77-438f-afa9-fbcac4d27690,https://data.globalchange.gov/reference/5ec155e5-8b77-438f-afa9-fbcac4d27690,5ec155e5-8b77-438f-afa9-fbcac4d27690,,"Fann, Neal; Brennan, Terry; Dolwick, Patrick; Gamble, Janet L.; Ilacqua, Vito; Kolb, Laura; Nolte, Christopher G.; Spero, Tanya L.; Ziska, Lewis",10.7930/J0GQ6VP6,,,,,"69–98","Ch. 3: Air quality impacts",,,2016,19375,5ec155e5-8b77-438f-afa9-fbcac4d27690,"Book Section",/report/usgcrp-climate-human-health-assessment-2016/chapter/air-quality-impacts
/reference/63b68419-6ab4-4917-93dd-d9ac9a3572c2,https://data.globalchange.gov/reference/63b68419-6ab4-4917-93dd-d9ac9a3572c2,63b68419-6ab4-4917-93dd-d9ac9a3572c2,,"Crichton, Margaret T.; Ramsay, Cameron G.; Kelly, Terence",10.1111/j.1468-5973.2009.00556.x,,1468-5973,1,"Journal of Contingencies and Crisis Management",24-37,"Enhancing organizational resilience through emergency planning: Learnings from cross-sectoral lessons",,17,2009,21454,63b68419-6ab4-4917-93dd-d9ac9a3572c2,"Journal Article",/article/10.1111/j.1468-5973.2009.00556.x