uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Keywords,attrs.Pages,attrs.Title,attrs.URL,attrs.Volume,attrs.Year,attrs.\.reference_type,attrs._chapter,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/0d8b090e-e060-4f9d-a442-b7e050608a20,https://data.globalchange.gov/reference/0d8b090e-e060-4f9d-a442-b7e050608a20,0d8b090e-e060-4f9d-a442-b7e050608a20,"Observations show snowpack has declined across much of the western United States over the period 1950–99. This reduction has important social and economic implications, as water retained in the snowpack from winter storms forms an important part of the hydrological cycle and water supply in the region. A formal model-based detection and attribution (D–A) study of these reductions is performed. The detection variable is the ratio of 1 April snow water equivalent (SWE) to water-year-to-date precipitation (P), chosen to reduce the effect of P variability on the results. Estimates of natural internal climate variability are obtained from 1600 years of two control simulations performed with fully coupled ocean–atmosphere climate models. Estimates of the SWE/P response to anthropogenic greenhouse gases, ozone, and some aerosols are taken from multiple-member ensembles of perturbation experiments run with two models. The D–A shows the observations and anthropogenically forced models have greater SWE/P reductions than can be explained by natural internal climate variability alone. Model-estimated effects of changes in solar and volcanic forcing likewise do not explain the SWE/P reductions. The mean model estimate is that about half of the SWE/P reductions observed in the west from 1950 to 1999 are the result of climate changes forced by anthropogenic greenhouse gases, ozone, and aerosols.","Pierce, D.W.
Barnett, T.P.
Hidalgo, H.G.
Das, T.
Bonfils, C.
Santer, B.D.
Bala, G.
Dettinger, M.D.
Cayan, D.R.
Mirin, A.
Wood, A. W. 
Nozawa, T.",10.1175/2008JCLI2405.1,1520-0442,23,"Journal of Climate","Snowpack, ; Hydrologic cycle, ; Trends, ; Coupled models, ; Greenhouse gases",6425-6444,"Attribution of declining western US snowpack to human effects",http://journals.ametsoc.org/doi/abs/10.1175/2008JCLI2405.1,21,2008,0,"[""Ch. 20: Southwest FINAL"",""Ch. 28: Adaptation FINAL"",""Ch. 3: Water Resources FINAL"",""Appendix 3: Climate Science FINAL"",""Ch. 21: Northwest FINAL""]",2495,0d8b090e-e060-4f9d-a442-b7e050608a20,"Journal Article",/article/10.1175/2008JCLI2405.1
/reference/0e186af3-bf5b-49ae-82cc-cf1a1a5a7c25,https://data.globalchange.gov/reference/0e186af3-bf5b-49ae-82cc-cf1a1a5a7c25,0e186af3-bf5b-49ae-82cc-cf1a1a5a7c25,,"Bell, Jesse E.; Herring, Stephanie C. ; Jantarasami, Lesley; Adrianopoli, Carl; Benedict, Kaitlin; Conlon, Kathryn; Escobar, Vanessa; Hess, Jeremy; Luvall, Jeffrey; Garcia-Pando, Carlos Perez ; Quattrochi, Dale; Runkle, Jennifer; Schreck, Carl J., III",10.7930/J0BZ63ZV,,,,,"99–128","Ch. 4: Impacts of extreme events on human health",,,2016,7,,19376,0e186af3-bf5b-49ae-82cc-cf1a1a5a7c25,"Book Section",/report/usgcrp-climate-human-health-assessment-2016/chapter/extreme-events
/reference/0f0a3e4f-e54e-47f8-9e2b-c3d6ff5dd2e8,https://data.globalchange.gov/reference/0f0a3e4f-e54e-47f8-9e2b-c3d6ff5dd2e8,0f0a3e4f-e54e-47f8-9e2b-c3d6ff5dd2e8,,,,,,,,,"Cultivating Food Justice: Race, Class, and Sustainability",,,2011,9,,23707,0f0a3e4f-e54e-47f8-9e2b-c3d6ff5dd2e8,"Edited Book",/book/cultivating-food-justice-race-class-sustainability
/reference/0f111f51-cde4-4a3d-a07a-42bc3f22d823,https://data.globalchange.gov/reference/0f111f51-cde4-4a3d-a07a-42bc3f22d823,0f111f51-cde4-4a3d-a07a-42bc3f22d823,"The upper Colorado River basin (UCRB) is one of the primary sources of water for the western United States, and increasing temperatures likely will elevate the risk of reduced water supply in the basin. Although variability in water-year precipitation explains more of the variability in water-year UCRB streamflow than water-year UCRB temperature, since the late 1980s, increases in temperature in the UCRB have caused a substantial reduction in UCRB runoff efficiency (the ratio of streamflow to precipitation). These reductions in flow because of increasing temperatures are the largest documented temperature-related reductions since record keeping began. Increases in UCRB temperature over the past three decades have resulted in a mean UCRB water-year streamflow departure of −1306 million m3 (or −7% of mean water-year streamflow). Additionally, warm-season (April through September) temperature has had a larger effect on variability in water-year UCRB streamflow than the cool-season (October through March) temperature. The greater contribution of warm-season temperature, relative to cool-season temperature, to variability of UCRB flow suggests that evaporation or snowmelt, rather than changes from snow to rain during the cool season, has driven recent reductions in UCRB flow. It is expected that as warming continues, the negative effects of temperature on water-year UCRB streamflow will become more evident and problematic.","McCabe, Gregory J.; David M. Wolock; Gregory T. Pederson; Connie A. Woodhouse; Stephanie McAfee",10.1175/ei-d-17-0007.1,,10,"Earth Interactions","Hydrology,Hydrometeorology,Water budget,Climate variability",1-14,"Evidence that recent warming is reducing upper Colorado River flows",,21,2017,,,23686,0f111f51-cde4-4a3d-a07a-42bc3f22d823,"Journal Article",/article/10.1175/ei-d-17-0007.1
/reference/0f11ab1a-bd20-4de1-a4f0-dad00db58523,https://data.globalchange.gov/reference/0f11ab1a-bd20-4de1-a4f0-dad00db58523,0f11ab1a-bd20-4de1-a4f0-dad00db58523,"The association between ambient temperature and morbidity has been explored previously. However, the association between temperature and mental health-related outcomes, including violence and self-harm, remains relatively unexamined. For the period 2005–2013, we obtained daily counts of mental health-related emergency room visits involving injuries with an external cause for 16 California climate zones from the California Office of Statewide Health Planning and Development and combined them with data on mean apparent temperature, a combination of temperature and humidity. Using Poisson regression models, we estimated climate zone-level associations and then used random-effects meta-analyses to produce overall estimates. Analyses were stratified by season (warm: May–October; cold: November–April), race/ethnicity, and age. During the warm season, a 10°F (5.6°C) increase in same-day mean apparent temperature was associated with 4.8% (95% confidence interval (CI): 3.6, 6.0), 5.8% (95% CI: 4.5, 7.1), and 7.9% (95% CI: 7.3, 8.4) increases in the risk of emergency room visits for mental health disorders, self-injury/suicide, and intentional injury/homicide, respectively. High temperatures during the cold season were also positively associated with these outcomes. Variations were observed by race/ethnicity, age group, and sex, with Hispanics, whites, persons aged 6–18 years, and females being at greatest risk for most outcomes. Increasing mean apparent temperature was found to have acute associations with mental health outcomes and intentional injuries, and these findings warrant further study in other locations.","Basu, Rupa; Gavin, Lyndsay; Pearson, Dharshani; Ebisu, Keita; Malig, Brian",10.1093/aje/kwx295,0002-9262,4,"American Journal of Epidemiology",,726-735,"Examining the association between apparent temperature and mental health-related emergency room visits in California",,187,2018,,,26398,0f11ab1a-bd20-4de1-a4f0-dad00db58523,"Journal Article",/article/10.1093/aje/kwx295
/reference/0f5c8ed3-e5fb-4625-8cfe-4ad8b731d182,https://data.globalchange.gov/reference/0f5c8ed3-e5fb-4625-8cfe-4ad8b731d182,0f5c8ed3-e5fb-4625-8cfe-4ad8b731d182,"Widespread, high levels of tree mortality, termed forest die-off, associated with drought and rising temperatures, are disrupting forests worldwide. Drought will likely become more frequent with climate change, but even without more frequent drought, higher temperatures can exacerbate tree water stress. The temperature sensitivity of drought-induced mortality of tree species has been evaluated experimentally for only single-step changes in temperature (ambient compared to ambient + increase) rather than as a response surface (multiple levels of temperature increase), which constrains our ability to relate changes in the driver with the biological response. Here we show that time-to-mortality during drought for seedlings of two western United States tree species, Pinus edulis (Engelm.) and Pinus ponderosa (Douglas ex C. Lawson), declined in continuous proportion with increasing temperature spanning a 7.7 °C increase. Although P. edulis outlived P. ponderosa at all temperatures, both species had similar relative declines in time-to-mortality as temperature increased (5.2% per °C for P. edulis ; 5.8% per °C for P. ponderosa ). When combined with the non-linear frequency distribution of drought duration—many more short droughts than long droughts—these findings point to a progressive increase in mortality events with global change due to warming alone and independent of additional changes in future drought frequency distributions. As such, dire future forest recruitment patterns are projected assuming the calculated 7–9 seedling mortality events per species by 2100 under business-as-usual warming occur, congruent with additional vulnerability predicted for adult trees from stressors like pathogens and pests. Our progressive projection for increased mortality events was driven primarily by the non-linear shape of the drought duration frequency distribution, a common climate feature of drought-affected regions. These results illustrate profound benefits for reducing emissions of carbon to the atmosphere from anthropogenic sources and slowing warming as rapidly as possible to maximize forest persistence.","Adams, Henry D.; Greg A. Barron-Gafford; Rebecca L. Minor; Alfonso A. Gardea; Lisa Patrick Bentley; Darin J. Law; David D. Breshears; Nate G. McDowell; Travis E. Huxman",10.1088/1748-9326/aa93be,1748-9326,11,"Environmental Research Letters",,115014,"Temperature response surfaces for mortality risk of tree species with future drought",,12,2017,,,25956,0f5c8ed3-e5fb-4625-8cfe-4ad8b731d182,"Journal Article",/article/10.1088/1748-9326/aa93be
/reference/110b6896-b3e8-4af4-9c57-70cd5dcc49b0,https://data.globalchange.gov/reference/110b6896-b3e8-4af4-9c57-70cd5dcc49b0,110b6896-b3e8-4af4-9c57-70cd5dcc49b0,"The effect of global climate change on infectious disease remains hotly debated because multiple extrinsic and intrinsic drivers interact to influence transmission dynamics in nonlinear ways. The dominant drivers of widespread pathogens, like West Nile virus, can be challenging to identify due to regional variability in vector and host ecology, with past studies producing disparate findings. Here, we used analyses at national and state scales to examine a suite of climatic and intrinsic drivers of continental-scale West Nile virus epidemics, including an empirically derived mechanistic relationship between temperature and transmission potential that accounts for spatial variability in vectors. We found that drought was the primary climatic driver of increased West Nile virus epidemics, rather than within-season or winter temperatures, or precipitation independently. Local-scale data from one region suggested drought increased epidemics via changes in mosquito infection prevalence rather than mosquito abundance. In addition, human acquired immunity following regional epidemics limited subsequent transmission in many states. We show that over the next 30 years, increased drought severity from climate change could triple West Nile virus cases, but only in regions with low human immunity. These results illustrate how changes in drought severity can alter the transmission dynamics of vector-borne diseases.","Paull, Sara H.; Horton, Daniel E.; Ashfaq, Moetasim; Rastogi, Deeksha; Kramer, Laura D.; Diffenbaugh, Noah S.; Kilpatrick, A. Marm",10.1098/rspb.2016.2078,,1848,"Proceedings of the Royal Society B: Biological Sciences",,,"Drought and immunity determine the intensity of West Nile virus epidemics and climate change impacts",,284,2017,,,23690,110b6896-b3e8-4af4-9c57-70cd5dcc49b0,"Journal Article",/article/10.1098/rspb.2016.2078
/reference/114cd0b9-5577-4c58-b5b1-24c822dd4ad7,https://data.globalchange.gov/reference/114cd0b9-5577-4c58-b5b1-24c822dd4ad7,114cd0b9-5577-4c58-b5b1-24c822dd4ad7,,"Stöllberger, C.
Lutz, W.
Finsterer, J.",10.1111/j.1468-1331.2009.02581.x,1468-1331,7,"European Journal of Neurology",,879-882,"Heat-related side-effects of neurological and non-neurological medication may increase heatwave fatalities",http://onlinelibrary.wiley.com/doi/10.1111/j.1468-1331.2009.02581.x/pdf,16,2009,0,"[""Ch. 9: Human Health FINAL""]",2962,114cd0b9-5577-4c58-b5b1-24c822dd4ad7,"Journal Article",/article/10.1111/j.1468-1331.2009.02581.x
/reference/11b7feae-6300-4e83-96e9-91d8cfb2445f,https://data.globalchange.gov/reference/11b7feae-6300-4e83-96e9-91d8cfb2445f,11b7feae-6300-4e83-96e9-91d8cfb2445f,,"State of California,",,,,,,,"California Global Warming Solutions Act of 2006",https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=200520060AB32,,2006,32,,26386,11b7feae-6300-4e83-96e9-91d8cfb2445f,"Legal Rule or Regulation",/generic/1ac7a87f-32c6-45ee-a2b0-756a787fd754
/reference/122eb3df-b664-4183-8004-89b06eaaeeb2,https://data.globalchange.gov/reference/122eb3df-b664-4183-8004-89b06eaaeeb2,122eb3df-b664-4183-8004-89b06eaaeeb2,,"ABC,",,,,,,41,"Almond Almanac 2016: Annual Report",http://www.almonds.com/sites/default/files/2016_almond_almanac.pdf,,2016,10,,23709,122eb3df-b664-4183-8004-89b06eaaeeb2,Report,/report/almond-almanac-2016-annual-report
/reference/132133f3-1705-42ed-b505-8ccbaa497968,https://data.globalchange.gov/reference/132133f3-1705-42ed-b505-8ccbaa497968,132133f3-1705-42ed-b505-8ccbaa497968,,"Harrigan, Ryan J.; Thomassen, Henri A.; Buermann, Wolfgang; Smith, Thomas B.",10.1111/gcb.12534,1365-2486,8,"Global Change Biology",,2417-2425,"A continental risk assessment of West Nile virus under climate change",,20,2014,0,Ch4,16126,132133f3-1705-42ed-b505-8ccbaa497968,"Journal Article",/article/10.1111/gcb.12534
/reference/132a2118-5112-4f76-b641-e9d16fa0435f,https://data.globalchange.gov/reference/132a2118-5112-4f76-b641-e9d16fa0435f,132a2118-5112-4f76-b641-e9d16fa0435f,"Context:Sports medicine providers frequently return athletes to play after sports-related injuries and conditions. Many of these conditions have guidelines or medical evidence to guide the decision-making process. Occasionally, however, sports medicine providers are challenged with complex medical conditions for which there is little evidence-based guidance and physicians are instructed to individualize treatment; included in this group of conditions are exertional heat stroke (EHS), exertional rhabdomyolysis (ER), and exertional collapse associated with sickle cell trait (ECAST).Evidence Acquisition:The MEDLINE (2000-2015) database was searched using the following search terms: exertional heat stroke, exertional rhabdomyolysis, and exertional collapse associated with sickle cell trait. References from consensus statements, review articles, and book chapters were also utilized.Study Design:Clinical review.Level of Evidence:Level 4.Results:These entities are unique in that they may cause organ system damage capable of leading to short- or long-term detriments to physical activity and may not lend to complete recovery, potentially putting the athlete at risk with premature return to play.Conclusion:With a better understanding of the pathophysiology of EHS, ER, and ECAST and the factors associated with recovery, better decisions regarding return to play may be made.","Asplund, Chad A.; Francis G. O’Connor",10.1177/1941738115617453,,2,"Sports Health","return to play,heat illness,rhabdomyolysis,sickle cell trait",117-125,"Challenging return to play decisions: Heat stroke, exertional rhabdomyolysis, and exertional collapse associated with sickle cell trait",,8,2016,,,23713,132a2118-5112-4f76-b641-e9d16fa0435f,"Journal Article",/article/10.1177/1941738115617453
/reference/133fec6d-8a4b-47e6-a1f0-c986ecf70780,https://data.globalchange.gov/reference/133fec6d-8a4b-47e6-a1f0-c986ecf70780,133fec6d-8a4b-47e6-a1f0-c986ecf70780,,"Griffin, Daniel; Anchukaitis, Kevin J.",10.1002/2014GL062433,1944-8007,24,"Geophysical Research Letters","drought; tree rings; paleoclimate; 1637 Regional climate change; 1812 Drought; 1884 Water supply; 3344 Paleoclimatology; 4920 Dendrochronology",9017-9023,"How unusual is the 2012–2014 California drought?",,41,2014,,,23772,133fec6d-8a4b-47e6-a1f0-c986ecf70780,"Journal Article",/article/10.1002/2014GL062433
/reference/135fdd3e-b93f-4a96-8a01-879908abb71b,https://data.globalchange.gov/reference/135fdd3e-b93f-4a96-8a01-879908abb71b,135fdd3e-b93f-4a96-8a01-879908abb71b,,"Li, Dongyue; Wrzesien, Melissa L.; Durand, Michael; Adam, Jennifer; Lettenmaier, Dennis P.",10.1002/2017GL073551,1944-8007,12,"Geophysical Research Letters","streamflow; snowmelt; western U.S; 0740 Snowmelt; 1860 Streamflow; 1807 Climate impacts",6163-6172,"How much runoff originates as snow in the western United States, and how will that change in the future?",,44,2017,,,23681,135fdd3e-b93f-4a96-8a01-879908abb71b,"Journal Article",/article/10.1002/2017GL073551
/reference/13af7e4d-9182-43bf-b557-c2a7615ece38,https://data.globalchange.gov/reference/13af7e4d-9182-43bf-b557-c2a7615ece38,13af7e4d-9182-43bf-b557-c2a7615ece38,,"Lake, Frank K.; Jonathan W. Long",,,,,,173-186,"Fire and tribal cultural resources",https://www.fs.fed.us/psw/publications/documents/psw_gtr247/chapters/psw_gtr247_chapter4_2.pdf,,2014,7,,23939,13af7e4d-9182-43bf-b557-c2a7615ece38,"Book Section",/book/94adeaf1-fc82-4027-92d9-deeb7e99e331
/reference/13e9bbba-449b-46c0-a8af-5e7ccac9a4c2,https://data.globalchange.gov/reference/13e9bbba-449b-46c0-a8af-5e7ccac9a4c2,13e9bbba-449b-46c0-a8af-5e7ccac9a4c2,"Climate models project rising drought risks over the southwestern and central U.S. in the twenty-first century due to increasing greenhouse gases. The projected drier regions largely overlay the major dust sources in the United States. However, whether dust activity in U.S. will increase in the future is not clear, due to the large uncertainty in dust modeling. This study found that changes of dust activity in the U.S. in the recent decade are largely associated with the variations of precipitation, soil bareness, and surface winds speed. Using multi-model output under the Representative Concentration Pathways 8.5 scenario, we project that climate change will increase dust activity in the southern Great Plains from spring to fall in the late half of the twenty-first century – largely due to reduced precipitation, enhanced land surface bareness, and increased surface wind speed. Over the northern Great Plains, less dusty days are expected in spring due to increased precipitation and reduced bareness. Given the large negative economic and societal consequences of severe dust storms, this study complements the multi-model projection on future dust variations and may help improve risk management and resource planning.","Pu, Bing; Ginoux, Paul",10.1038/s41598-017-05431-9,2045-2322,1,"Scientific Reports",,5553,"Projection of American dustiness in the late 21st century due to climate change",,7,2017,,,23691,13e9bbba-449b-46c0-a8af-5e7ccac9a4c2,"Journal Article",/article/10.1038/s41598-017-05431-9
/reference/143f2380-6a22-4149-a682-c10c62615d69,https://data.globalchange.gov/reference/143f2380-6a22-4149-a682-c10c62615d69,143f2380-6a22-4149-a682-c10c62615d69,,"Wilder, M.
Garfin, G.
Ganster, P.
Eakin, H.
Romero-Lankao, P.
Lara-Valencia, F.
Cortez-Lara, A. A.
Mumme, S.
Neri, C.
Muñoz-Arriola, F.",,,,,,"340–384","Ch. 16: Climate change and U.S.-Mexico border communities",http://swccar.org/sites/all/themes/files/SW-NCA-color-FINALweb.pdf,,2013,7,"[""Ch. 20: Southwest FINAL""]",4006,143f2380-6a22-4149-a682-c10c62615d69,"Book Section",/book/c9625c65-c20f-4163-87fe-cebf734f7836
/reference/146564da-70cf-46dd-8aac-e42177107d8e,https://data.globalchange.gov/reference/146564da-70cf-46dd-8aac-e42177107d8e,146564da-70cf-46dd-8aac-e42177107d8e,"A high-resolution climate model (4-km horizontal grid spacing) is used to examine the following question: How will long-term changes in climate impact the partitioning of annual precipitation between evapotranspiration and runoff in the Colorado Headwaters?This question is examined using a climate sensitivity approach in which eight years of current climate is compared to a future climate created by modifying the current climate signal with perturbation from the NCAR Community Climate System Model, version 3 (CCSM3), model forced by the A1B scenario for greenhouse gases out to 2050. The current climate period is shown to agree well with Snowpack Telemetry (SNOTEL) surface observations of precipitation (P) and snowpack, as well as streamflow and AmeriFlux evapotranspiration (ET) observations. The results show that the annual evaporative fraction (ET/P) for the Colorado Headwaters is 0.81 for the current climate and 0.83 for the future climate, indicating increasing aridity in the future despite a positive increase of precipitation. Runoff decreased by an average of 6%, reflecting the increased aridity.Precipitation increased in the future winter by 12%, but decreased in the summer as a result of increased low-level inhibition to convection. The fraction of precipitation that fell as snow decreased from 0.83 in the current climate to 0.74 in the future. Future snowpack did not change significantly until January. From January to March the snowpack increased above ~3000 m MSL and decreased below that level. Snowpack decreased at all elevations in the future from April to July. The peak snowpack and runoff over the headwaters occurred 2–3 weeks earlier in the future simulation, in agreement with previous studies.","Rasmussen, Roy; Kyoko Ikeda; Changhai Liu; David Gochis; Martyn Clark; Aiguo Dai; Ethan Gutmann; Jimy Dudhia; Fei Chen; Mike Barlage; David Yates; Guo Zhang",10.1175/jhm-d-13-0118.1,,3,"Journal of Hydrometeorology","Climate change,Hydrology,Hydrometeorology,Water budget,Model evaluation/performance,Regional models",1091-1116,"Climate change impacts on the water balance of the Colorado Headwaters: High-resolution regional climate model simulations",,15,2014,,,26379,146564da-70cf-46dd-8aac-e42177107d8e,"Journal Article",/article/10.1175/jhm-d-13-0118.1
/reference/1499be41-fb3f-4274-a545-e9ff7e8feea0,https://data.globalchange.gov/reference/1499be41-fb3f-4274-a545-e9ff7e8feea0,1499be41-fb3f-4274-a545-e9ff7e8feea0,,"Stephens, Scott L.; Miller, Jay D.; Collins, Brandon M.; North, Malcolm P.; Keane, John J.; Roberts, Susan L.",10.1002/ecs2.1478,2150-8925,11,Ecosphere,"coarse filter; conservation; fine–filter; Jeffrey pine; mixed conifer forests; ponderosa pine; prescribed fire; restoration; wildfire",e01478,"Wildfire impacts on California spotted owl nesting habitat in the Sierra Nevada",,7,2016,,,23697,1499be41-fb3f-4274-a545-e9ff7e8feea0,"Journal Article",/article/10.1002/ecs2.1478
/reference/14ea4d85-e2b5-48d8-b5c8-2d82801e8383,https://data.globalchange.gov/reference/14ea4d85-e2b5-48d8-b5c8-2d82801e8383,14ea4d85-e2b5-48d8-b5c8-2d82801e8383,,"Feely, Richard A.; Alin, Simone R.; Carter, Brendan; Bednaršek, Nina; Hales, Burke; Chan, Francis; Hill, Tessa M.; Gaylord, Brian; Sanford, Eric; Byrne, Robert H.; Sabine, Christopher L.; Greeley, Dana; Juranek, Lauren",10.1016/j.ecss.2016.08.043,0272-7714,,"Estuarine, Coastal and Shelf Science","California current large marine ecosystem; Ocean acidification; Anthropogenic CO2; Upwelling; Pteropod dissolution",260-270,"Chemical and biological impacts of ocean acidification along the west coast of North America",,"183, Part A",2016,0,,21599,14ea4d85-e2b5-48d8-b5c8-2d82801e8383,"Journal Article",/article/10.1016/j.ecss.2016.08.043
/reference/1505955b-88ba-4146-8596-0b3ba481d0ac,https://data.globalchange.gov/reference/1505955b-88ba-4146-8596-0b3ba481d0ac,1505955b-88ba-4146-8596-0b3ba481d0ac,,"Belmecheri, Soumaya; Babst, Flurin; Wahl, Eugene R.; Stahle, David W.; Trouet, Valerie",10.1038/nclimate2809,1758-678X,1,"Nature Climate Change",,2-3,"Multi-century evaluation of Sierra Nevada snowpack",,6,2016,0,,20850,1505955b-88ba-4146-8596-0b3ba481d0ac,"Journal Article",/article/10.1038/nclimate2809
/reference/15fba801-2833-4ff5-bf74-04a5a23b5206,https://data.globalchange.gov/reference/15fba801-2833-4ff5-bf74-04a5a23b5206,15fba801-2833-4ff5-bf74-04a5a23b5206,,"NCSL,",,,,,,,"State Renewable Portfolio Standards and Goals [web page]",http://www.ncsl.org/research/energy/renewable-portfolio-standards.aspx,,2018,16,,26405,15fba801-2833-4ff5-bf74-04a5a23b5206,"Web Page",/webpage/51b16e51-a63e-4387-9195-20deab232ca9
/reference/167cbc63-6d6f-4ece-a004-3421311f8d7f,https://data.globalchange.gov/reference/167cbc63-6d6f-4ece-a004-3421311f8d7f,167cbc63-6d6f-4ece-a004-3421311f8d7f,,"U.S. Federal Government,",,,,,,,"U.S. Climate Resilience Toolkit: A Record of Change: Science and Elder Observations on the Navajo Nation [web site]",https://toolkit.climate.gov/videos/record-change-science-and-elder-observations-navajo-nation,,2017,16,,26381,167cbc63-6d6f-4ece-a004-3421311f8d7f,"Web Page",/webpage/4e581542-4a3d-492c-95ff-0e587d711db9
/reference/16d01c2b-6eee-4433-9969-213d5cbbb160,https://data.globalchange.gov/reference/16d01c2b-6eee-4433-9969-213d5cbbb160,16d01c2b-6eee-4433-9969-213d5cbbb160,,"Vogel, Jason; McNie, Elizabeth; Behar, David",10.1016/j.cliser.2016.06.003,2405-8807,,"Climate Services","Actionable science; Co-production; Climate model information; Water resources management; Vulnerability assessment",30-40,"Co-producing actionable science for water utilities",,2-3,2016,,,26392,16d01c2b-6eee-4433-9969-213d5cbbb160,"Journal Article",/article/10.1016/j.cliser.2016.06.003