uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Journal,attrs.Keywords,attrs.Pages,attrs.Title,attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/9ec5956c-c78a-4fef-86be-4fed318bf303,https://data.globalchange.gov/reference/9ec5956c-c78a-4fef-86be-4fed318bf303,9ec5956c-c78a-4fef-86be-4fed318bf303,"Many inhabitants of cities throughout the world suffer from health problems and discomfort that are caused by overheating of urban areas, and there is compelling evidence that these problems will be exacerbated by global climate change. Most cities are not designed to ameliorate these effects although it is well-known that this is possible, especially through evidence-based climate-responsive design of urban open spaces. Urban parks and green spaces have the potential to provide thermally comfortable environments and help reduce vulnerability to heat stress. However, in order for them to provide this function, parks must be designed within the context of the prevailing climate and predicted future climates. To analyze the effects of elements that alter microclimate in parks, we used human energy budget simulations. We modelled the outdoor human energy budget in a range of warm to hot climate zones and interpreted the results in terms of thermal comfort and health vulnerability. Reduction of solar radiant input with trees had the greatest effect in all test cities. Reduction in air temperature was the second-most important component, and in some climates was nearly as important as incorporating shade. We then conducted similar modelling using predicted climates for the middle of the century, emphasizing the importance of city-level efforts for park design to assist in minimizing future climate-related urban health risks. These simulations suggested that heat waves in many climates will produce outdoor environments where people will be in extreme danger of heat stress, but that appropriately designed parks can reduce the threat.","Brown, Robert D.; Vanos, Jennifer; Kenny, Natasha; Lenzholzer, Sanda",10.1016/j.landurbplan.2015.02.006,6//,0169-2046,"Landscape and Urban Planning","urban; heat; urban forest; climate change",118-131,"Designing urban parks that ameliorate the effects of climate change",138,2015,22704,9ec5956c-c78a-4fef-86be-4fed318bf303,"Journal Article",/article/10.1016/j.landurbplan.2015.02.006
/reference/9f17954f-4786-482f-a8c9-1895709bd7a8,https://data.globalchange.gov/reference/9f17954f-4786-482f-a8c9-1895709bd7a8,9f17954f-4786-482f-a8c9-1895709bd7a8,,"Sheehan, William J.; Rangsithienchai, Pitud A. ; Wood, Robert A.; Rivard, Don; Chinratanapisit, SasawanPerzanowski, Matthew S. ; Chew, Ginger L.; Seltzer, James M.; Matsui, Elizbeth C.; Phipatanakul, Wanda",10.1016/j.jaci.2010.01.023,,,"Journal of Allergy and Clinical Immunology","added by ERG",575-581,"Pest and allergen exposure and abatement in inner-city asthma: A Work Group Report of the American Academy of Allergy, Asthma & Immunology Indoor Allergy/Air Pollution Committee",125,2010,23073,9f17954f-4786-482f-a8c9-1895709bd7a8,"Journal Article",/article/10.1016/j.jaci.2010.01.023
/reference/9f559c9b-c78e-4593-bcbe-f07661d29e16,https://data.globalchange.gov/reference/9f559c9b-c78e-4593-bcbe-f07661d29e16,9f559c9b-c78e-4593-bcbe-f07661d29e16,,"Houser, Trevor; Hsiang, Solomon; Kopp, Robert; Larsen, Kate; Michael Delgado; Amir Jina; Michael Mastrandrea; Shashank Mohan; Robert Muir-Wood; D. J. Rasmussen; James Rising; Paul Wilson ",,,,,,,"Economic Risks of Climate Change: An American Prospectus",,2015,25465,9f559c9b-c78e-4593-bcbe-f07661d29e16,Book,/book/economic-risks-climate-change-an-american-prospectus
/reference/a031b362-5967-4b59-8b70-c09a4355716f,https://data.globalchange.gov/reference/a031b362-5967-4b59-8b70-c09a4355716f,a031b362-5967-4b59-8b70-c09a4355716f,"Mosquito-vectored pathogens are responsible for devastating human diseases and are (re)emerging in many urban environments. Effective mosquito control in urban landscapes relies on improved understanding of the complex interactions between the ecological and social factors that define where mosquito populations can grow. We compared the density of mosquito habitat and pupae production across economically varying neighborhoods in two temperate U.S. cities (Baltimore, MD and Washington, DC). Seven species of mosquito larvae were recorded. The invasive Aedes albopictus was the only species found in all neighborhoods. Culex pipiens, a primary vector of West Nile virus (WNV), was most abundant in Baltimore, which also had more tire habitats. Both Culex and Aedes pupae were more likely to be sampled in neighborhoods categorized as being below median income level in each city and Aedes pupae density was also greater in container habitats found in these lower income neighborhoods. We infer that lower income residents may experience greater exposure to potential disease vectors and Baltimore residents specifically, were at greater risk of exposure to the predominant WNV vector. However, we also found that resident-reported mosquito nuisance was not correlated with our measured risk index, indicating a potentially important mismatch between motivation needed to engage participation in control efforts and the relative importance of control among neighborhoods.","LaDeau, Shannon L.; Leisnham, Paul T.; Biehler, Dawn; Bodner, Danielle",10.3390/ijerph10041505,"04/1202/08/received03/20/revised04/03/accepted","1661-78271660-4601","International Journal of Environmental Research and Public Health",,1505-1526,"Higher mosquito production in low-income neighborhoods of Baltimore and Washington, DC: Understanding ecological drivers and mosquito-borne disease risk in temperate cities",10,2013,23022,a031b362-5967-4b59-8b70-c09a4355716f,"Journal Article",/article/10.3390/ijerph10041505
/reference/a1b5655b-3039-4283-b99f-8e75262419da,https://data.globalchange.gov/reference/a1b5655b-3039-4283-b99f-8e75262419da,a1b5655b-3039-4283-b99f-8e75262419da,,"Radbideau, Shannon L.; Passe, Ulrike; Takle, Eugene S.",,,0001-2505,"ASHRAE Transactions",,384-391,"Exploring alternatives to the ""typical meteorological year"" for incorporating climate change into building design",118,2012,25652,a1b5655b-3039-4283-b99f-8e75262419da,"Journal Article",/article/exploring-alternatives-typical-meteorological-year-incorporating-climate-change-into-building-design
/reference/a1ba2d6f-a9d4-40dc-8d99-9f5bd9b6c34f,https://data.globalchange.gov/reference/a1ba2d6f-a9d4-40dc-8d99-9f5bd9b6c34f,a1ba2d6f-a9d4-40dc-8d99-9f5bd9b6c34f,,"Dirks, James A.; Gorrissen, Willy J.; Hathaway, John H.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.",10.1016/j.energy.2014.08.081,1/1/,0360-5442,Energy,"Climate change; Buildings; Energy demand",20-32,"Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach",79,2015,21343,a1ba2d6f-a9d4-40dc-8d99-9f5bd9b6c34f,"Journal Article",/article/10.1016/j.energy.2014.08.081
/reference/a2563406-b08b-447a-9aca-47b96427367b,https://data.globalchange.gov/reference/a2563406-b08b-447a-9aca-47b96427367b,a2563406-b08b-447a-9aca-47b96427367b,"It is well recognized that adaptive and flexible flood risk strategies are required to account for future uncertainties. Development of such strategies is, however, a challenge. Climate change alone is a significant complication, but, in addition, complexities exist trying to identify the most appropriate set of mitigation measures, or interventions. There are a range of economic and environmental performance measures that require consideration, and the spatial and temporal aspects of evaluating the performance of these is complex. All these elements pose severe difficulties to decisionmakers. This article describes a decision support methodology that has the capability to assess the most appropriate set of interventions to make in a flood system and the opportune time to make these interventions, given the future uncertainties. The flood risk strategies have been explicitly designed to allow for flexible adaptive measures by capturing the concepts of real options and multiobjective optimization to evaluate potential flood risk management opportunities. A state‐of‐the‐art flood risk analysis tool is employed to evaluate the risk associated to each strategy over future points in time and a multiobjective genetic algorithm is utilized to search for the optimal adaptive strategies. The modeling system has been applied to a reach on the Thames Estuary (London, England), and initial results show the inclusion of flexibility is advantageous, while the outputs provide decisionmakers with supplementary knowledge that previously has not been considered.","Woodward, Michelle; Kapelan, Zoran; Gouldby, Ben",10.1111/risa.12088,,,"Risk Analysis",,75-92,"Adaptive flood risk management under climate change uncertainty using real options and optimization",34,2014,25627,a2563406-b08b-447a-9aca-47b96427367b,"Journal Article",/article/10.1111/risa.12088
/reference/a29b612b-8c28-4c93-9c18-19314babce89,https://data.globalchange.gov/reference/a29b612b-8c28-4c93-9c18-19314babce89,a29b612b-8c28-4c93-9c18-19314babce89,,"Wehner, M.F.; J.R. Arnold; T. Knutson; K.E. Kunkel; A.N. LeGrande",10.7930/J0CJ8BNN,,,,,231-256,"Droughts, Floods, and Wildfires",,2017,21566,a29b612b-8c28-4c93-9c18-19314babce89,"Book Section",/report/climate-science-special-report/chapter/drought-floods-hydrology
/reference/a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,https://data.globalchange.gov/reference/a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,"Heat illness during practice or competition is a leading cause of death and disability among U.S. high school athletes. An estimated 7.5 million students participate in high school sports annually. To examine the incidence and characteristics of heat illness among high school athletes, CDC analyzed data from the National High School Sports-Related Injury Surveillance Study for the period 2005-2009, which includes the 2005-06, 2006-07, 2007-08 and 2008-09 school years. During 2005-2009, the 100 schools sampled reported a total of 118 heat illnesses among high school athletes resulting in >or=1 days of time lost from athletic activity (i.e., time-loss heat illness), a rate of 1.6 per 100,000 athlete-exposures and an average of 29.5 time-loss heat illnesses per school year. The average corresponds to a weighted average annual estimate of 9,237 illnesses nationwide. The highest rate of time-loss heat illness was among football players, 4.5 per 100,000 athlete-exposures, a rate 10 times higher than the average rate (0.4) for the eight other sports. Time-loss heat illnesses occurred most frequently during August (66.3%) and while practicing or playing football (70.7%). No deaths were reported. Consistent with guidelines from the National Athletic Trainers' Association (NATA), to reduce the risk for heat illness, high school athletic programs should implement heat-acclimatization guidelines (e.g., set limits on summer practice duration and intensity). All athletes, coaches, athletic trainers, and parents/guardians should be aware of the risk factors for heat illness, follow recommended strategies, and be prepared to respond quickly to symptoms of illness. Coaches also should continue to stress to their athletes the importance of maintaining proper hydration before, during, and after sports activities.","Gilchrist, J.; Haileyesus, T.; Murphy, M.; Comstock, R.D.; Collins, C.; McIlvain, N.; Yard, E.",,"Aug 20",1545-861X,"Morbidity and Mortality Weekly Report","Absenteeism; Acclimatization; Athletes/*statistics & numerical data; Dehydration/epidemiology; Female; Guidelines as Topic; Heat Stress Disorders/*epidemiology; Hot Temperature; Humans; Incidence; Male; *Population Surveillance; *Sports; Students/*statistics & numerical data; United States/epidemiology",1009-1013,"Heat illness among high school athletes - United States, 2005-2009",59,2010,16391,a4d671c3-8df4-4bc3-9c1e-ac340b9b2da5,"Journal Article",/article/pmid-20724966
/reference/a52c7e70-0bfb-48da-bf90-cd93805e2d04,https://data.globalchange.gov/reference/a52c7e70-0bfb-48da-bf90-cd93805e2d04,a52c7e70-0bfb-48da-bf90-cd93805e2d04,,"Freddie Mac,",,,,,"added by ERG",,"Freddie Mac April 2016 Insight: Life's a Beach",,2016,23008,a52c7e70-0bfb-48da-bf90-cd93805e2d04,"Web Page",/webpage/9be7b408-e3fb-4f1f-8a59-54551e0d93b7
/reference/a598c07e-fdd4-48b0-9d01-71beca0f5afd,https://data.globalchange.gov/reference/a598c07e-fdd4-48b0-9d01-71beca0f5afd,a598c07e-fdd4-48b0-9d01-71beca0f5afd,,"Kenward, Alyson; Adams-Smith, Dennis; Raja, Urooj",,,,,,37,"Wildfires and Air Pollution: The Hidden Health Hazards of Climate Change",,2013,23190,a598c07e-fdd4-48b0-9d01-71beca0f5afd,Report,/report/wildfires-air-pollution-hidden-health-hazards-climate-change
/reference/a72701dd-9c86-40c3-bf56-5b75c25f4d0f,https://data.globalchange.gov/reference/a72701dd-9c86-40c3-bf56-5b75c25f4d0f,a72701dd-9c86-40c3-bf56-5b75c25f4d0f,,"Ranson, Matthew; Tarquinio, Tina; Lew, Audrey",,,,,"added by ERG",,"Modeling the Impact of Climate Change on Extreme Weather Losses",,2016,23064,a72701dd-9c86-40c3-bf56-5b75c25f4d0f,Report,/report/modeling-impact-climate-change-on-extreme-weather-losses
/reference/a801f371-29e2-4b63-9d99-0361f73453a1,https://data.globalchange.gov/reference/a801f371-29e2-4b63-9d99-0361f73453a1,a801f371-29e2-4b63-9d99-0361f73453a1,,"Arup; Regional Plan Association,; Siemens",,,,,,65,"Toolkit for Resilient Cities: Infrastructure, Technology and Urban Planning",,2013,22887,a801f371-29e2-4b63-9d99-0361f73453a1,Report,/report/toolkit-resilient-cities-infrastructure-technology-urban-planning
/reference/a9d3f75d-31a9-4b7b-b986-df4d46945cd5,https://data.globalchange.gov/reference/a9d3f75d-31a9-4b7b-b986-df4d46945cd5,a9d3f75d-31a9-4b7b-b986-df4d46945cd5,,"Merritt, Elizabeth",,,,,"added by ERG",,"A Rising Tide: The Changing Landscape of Risk",,2012,23094,a9d3f75d-31a9-4b7b-b986-df4d46945cd5,"Web Page",/webpage/f602c0fd-5184-4241-9cf3-68296c539d86
/reference/aa4abab3-aa4f-49be-b905-4d6922ddbbec,https://data.globalchange.gov/reference/aa4abab3-aa4f-49be-b905-4d6922ddbbec,aa4abab3-aa4f-49be-b905-4d6922ddbbec,,"Mazzacurati, Emilie; Daniela Vargas Mallard; Joshua Turner, ; Nik Steinberg; Colin Shaw",,,,,,28,"Physical Climate Risk in Equity Portfolios ",,2017,25643,aa4abab3-aa4f-49be-b905-4d6922ddbbec,Report,/report/measuring-physical-climate-risk-equity-portfolios
/reference/ab195091-d813-4dfe-99f7-01b73c86c8b7,https://data.globalchange.gov/reference/ab195091-d813-4dfe-99f7-01b73c86c8b7,ab195091-d813-4dfe-99f7-01b73c86c8b7,,"Warziniack, Travis; Thompson, Matthew",,,1550-4980,"Western Economics Forum",,19-28,"Wildfire risk and optimal investments in watershed protection",12,2013,23175,ab195091-d813-4dfe-99f7-01b73c86c8b7,"Journal Article",/article/wildfire-risk-optimal-investments-watershed-protection
/reference/ab519cba-a499-48c8-88ed-322dadb14356,https://data.globalchange.gov/reference/ab519cba-a499-48c8-88ed-322dadb14356,ab519cba-a499-48c8-88ed-322dadb14356,,"Kwok, Alison G.; Rajkovich, Nicholas B.",10.1016/j.buildenv.2009.02.005,2010/01/01/,0360-1323,"Building and Environment","Climate change; Mitigation; Adaptation; Thermal comfort; Energy use",18-22,"Addressing climate change in comfort standards",45,2010,25617,ab519cba-a499-48c8-88ed-322dadb14356,"Journal Article",/article/10.1016/j.buildenv.2009.02.005
/reference/aba07260-60ad-44df-9810-29f23f46facd,https://data.globalchange.gov/reference/aba07260-60ad-44df-9810-29f23f46facd,aba07260-60ad-44df-9810-29f23f46facd,,"Hanak, Ellen; Mount, Jeffrey; Chappelle, Caitrin; Lund, Jay; Medellín-Azuara, Josué; Myoyle, Peter; Seavy, Nathaniel E.",,,,,,20,"What If California's Drought Continues?",,2015,25636,aba07260-60ad-44df-9810-29f23f46facd,Report,/report/what-is-californias-drought-continues
/reference/af014201-1af2-4f68-b959-ce78ce90adc6,https://data.globalchange.gov/reference/af014201-1af2-4f68-b959-ce78ce90adc6,af014201-1af2-4f68-b959-ce78ce90adc6,,"CBO,",,,,,"added by ERG",33,"Potential Increases in Hurricane Damage in the United States: Implications for the Federal Budget",,2016,23081,af014201-1af2-4f68-b959-ce78ce90adc6,Report,/report/potential-increases-hurricane-damage-united-states-implications-federal-budget
/reference/afbe359c-8f8d-4bff-a7ad-a8964262de37,https://data.globalchange.gov/reference/afbe359c-8f8d-4bff-a7ad-a8964262de37,afbe359c-8f8d-4bff-a7ad-a8964262de37,,"Field, C.B., V.R. Barros, K.J. Mach, M.D. Mastrandrea, M. van Aalst, W.N. Adger, D.J. Arent, J. Barnett, R. Betts, T.E. Bilir, J. Birkmann, J. Carmin, D.D. Chadee, A.J. Challinor, M. Chatterjee, W. Cramer, D.J. Davidson, Y.O. Estrada, J.-P. Gattuso, Y. Hijioka, O. Hoegh-Guldberg, H.Q. Huang, G.E. Insarov, R.N. Jones, R.S. Kovats, P. Romero-Lankao, J.N. Larsen, I.J. Losada, J.A. Marengo, R.F. McLean, L.O. Mearns, R. Mechler, J.F. Morton, I. Niang, T. Oki, J.M. Olwoch, M. Opondo, E.S. Poloczanska, H.-O. Pörtner, M.H. Redsteer, A. Reisinger, A. Revi, D.N. Schmidt, M.R. Shaw, W. Solecki, D.A. Stone, J.M.R. Stone, K.M. Strzepek, A.G. Suarez, P. Tschakert, R. Valentini, S. Vicuña, A. Villamizar, K.E. Vincent, R. Warren, L.L. White, T.J. Wilbanks, P.P. Wong, and G.W. Yohe",,,,,"added by ERG",35-94,"Technical Summary",,2014,23123,afbe359c-8f8d-4bff-a7ad-a8964262de37,Report,/report/ipcc-ar5-wg2-parta/chapter/wg2-ar5-ts-final
/reference/b093b04e-26ca-4957-9fad-165e46d763bb,https://data.globalchange.gov/reference/b093b04e-26ca-4957-9fad-165e46d763bb,b093b04e-26ca-4957-9fad-165e46d763bb,,"Jabareen, Yosef",10.1016/j.cities.2012.05.004,2013/04/01/,0264-2751,Cities,"Urban resilience; Climate change; Environmental risks; Planning",220-229,"Planning the resilient city: Concepts and strategies for coping with climate change and environmental risk",31,2013,23078,b093b04e-26ca-4957-9fad-165e46d763bb,"Journal Article",/article/10.1016/j.cities.2012.05.004
/reference/b0940013-e54e-4650-9d2b-cd786be84695,https://data.globalchange.gov/reference/b0940013-e54e-4650-9d2b-cd786be84695,b0940013-e54e-4650-9d2b-cd786be84695,"Debates about climate justice have mainly occurred at the international scale, and have focussed on the rights and responsibilities of nation-states to either be protected from the effects of climate change, or to take action to reduce emissions or support adaptation. In this paper, we argue that it is both productive and necessary to examine how climate justice is being pursued at the urban scale, which brings into focus the need for attention to issues of recognition as well as rights and responsibilities. Building on work from environmental justice, which has conceptualized justice as trivalent, we propose that climate justice can be understood as a pyramid, the faces of which are distributions, procedures, rights, responsibilities and recognition. We then apply this conceptual framework to examine climate change interventions in five cities; Bangalore, Monterrey, Hong Kong, Philadelphia and Berlin. Arguing that the politics and practices of urban climate change interventions are constantly engaging with and refractingthe idea of justice, we examine how justice was articulated, practiced and contested across our cases. Theperspective of recognition emerges as a particularly useful entry point through which to explore the types of rights, responsibilities, distributions and procedures required to respond justly to climate change. We conclude by reflecting on our framework, arguing that it is useful both as an analytical device to interrogate climate justice and to shape the design of climate change interventions which seek toensure climate justice.","Bulkeley, H.; Edwards, G. A. S.; Fuller, S.",10.1016/j.gloenvcha.2014.01.009,,0959-3780,"Global Environmental Change-Human and Policy Dimensions","Urban; climate change; climate justice",31-40,"Contesting climate justice in the city: Examining politics and practice in urban climate change experiments",25,2014,22708,b0940013-e54e-4650-9d2b-cd786be84695,"Journal Article",/article/10.1016/j.gloenvcha.2014.01.009
/reference/b0952748-e532-4d7c-ace8-66786863734d,https://data.globalchange.gov/reference/b0952748-e532-4d7c-ace8-66786863734d,b0952748-e532-4d7c-ace8-66786863734d,,"Kettle, Nathan P.; Dow, Kirstin; Tuler, Seth; Webler, Thomas; Whitehead, Jessica; Miller, Karly M.",10.1016/j.crm.2014.07.001,2014/01/01/,2212-0963,"Climate Risk Management","Barrier island; South Carolina; Climate adaptation; Mediated modeling; Risk management",17-31,"Integrating scientific and local knowledge to inform risk-based management approaches for climate adaptation",4-5,2014,23046,b0952748-e532-4d7c-ace8-66786863734d,"Journal Article",/article/10.1016/j.crm.2014.07.001
/reference/b17b3711-69f8-4b4e-853b-9264efb971f1,https://data.globalchange.gov/reference/b17b3711-69f8-4b4e-853b-9264efb971f1,b17b3711-69f8-4b4e-853b-9264efb971f1,,"Nowak, David J.; Appleton, Nathaniel; Ellis, Alexis; Greenfield, Eric",10.1016/j.ufug.2016.12.004,2017/01/01/,1618-8667,"Urban Forestry & Urban Greening","Air quality; Ecosystem services; Energy use; Pollutant emissions; Urban forestry",158-165,"Residential building energy conservation and avoided power plant emissions by urban and community trees in the United States",21,2017,23185,b17b3711-69f8-4b4e-853b-9264efb971f1,"Journal Article",/article/10.1016/j.ufug.2016.12.004
/reference/b23b93d7-4d5a-4eca-907b-84c2e15011d0,https://data.globalchange.gov/reference/b23b93d7-4d5a-4eca-907b-84c2e15011d0,b23b93d7-4d5a-4eca-907b-84c2e15011d0,,"Little, Richard G.",10.1080/106307302317379855,2002/04/01,1063-0732,"Journal of Urban Technology",,109-123,"Controlling cascading failure: Understanding the vulnerabilities of interconnected infrastructures",9,2002,22968,b23b93d7-4d5a-4eca-907b-84c2e15011d0,"Journal Article",/article/10.1080/106307302317379855
