Commit 1bf0438a authored by Philémon POUX's avatar Philémon POUX

good biblio

parent 59aed399
......@@ -829,16 +829,6 @@ Spatio-temporal variability in the temperature\textendash{}mortality relationshi
pages = {527--539}
title = {Ranking {{European}} Capitals by Exposure to Heat Waves and Cold Waves},
volume = {27},
language = {English},
journal = {Urban Climate},
author = {Smid, M. and Russo, S. and Costa, A.C. and Granell, C.and Pebesma and {E.}},
year = {2019},
pages = {388--402}
title = {Changes in the Effects of Heat on Mortality among the Elderly from 1998\textendash{}2010: Results from a Multicenter Time Series Study in {{Italy}}},
volume = {11},
......@@ -1572,4 +1562,78 @@ Droughts, hurricanes, and other environmental shocks punctuate the lives of poor
file = {/Users/philemonpoux/Zotero/storage/G8XK2QAU/Park et al. - 2018 - Households and heat stress estimating the distrib.pdf;/Users/philemonpoux/Zotero/storage/QIRXBLY3/8F99718D1EB402EEF82EE4C2D7579586.html}
title = {Diurnal Asymmetry to the Observed Global Warming},
volume = {37},
issn = {0899-8418},
abstract = {ABSTRACT The observed warming of the surface air temperature (SAT) over the last 50 years has not been homogenous. There are strong differences in the temperature changes both geographically and on different time frames. Here, we review the observed diurnal asymmetry in the global warming trend: the night-time temperatures have increased more rapidly than day-time temperatures. Several explanations for this asymmetric warming have been offered in the literature. These generally relate differences in the temperature trends to regionalized feedback effects, such as changes to cloud cover, precipitation or soil moisture. Here, we discuss a complementary mechanism through which the planetary boundary layer (PBL) modulates the SAT response to changes in the surface energy balance. This reciprocal relationship between boundary-layer depth and temperature response can explain a part of why the night-time has warmed more rapidly than the daytime. We used a multi-linear regression model to compare the effect of the PBL, cloud cover, precipitation and soil moisture on the SAT. From this, we demonstrate that it is the boundary-layer depth which is the strongest predictor of the strength of temperature trends in the boreal annual cycle, and in all seasons except the summer.},
number = {1},
journal = {International Journal of Climatology},
doi = {10.1002/joc.4688},
author = {Davy, Richard and Esau, Igor and Chernokulsky, Alexander and Outten, Stephen and Zilitinkevich, Sergej},
month = jan,
year = {2017},
keywords = {climate change,climate feedback,energy-budget model,surface air temperature},
pages = {79-93},
file = {/Users/philemonpoux/Zotero/storage/N9VYRJ6N/Davy et al. - 2017 - Diurnal asymmetry to the observed global warming.pdf;/Users/philemonpoux/Zotero/storage/CIEXY76V/joc.html}
address = {{LUXEMBOURG}},
title = {Eurostat {{Regional Yearbook}}},
isbn = {978-92-79-87876-3},
language = {English},
publisher = {{EUROSTAT}},
author = {Eurostat},
year = {2018},
note = {OCLC: 1083676806}
title = {The {{Impact}} of {{Heat Islands}} on {{Mortality}} in {{Paris}} during the {{August}} 2003 {{Heat Wave}}},
volume = {120},
issn = {0091-6765},
abstract = {Background: Heat waves have a drastic impact on urban populations, which could increase with climate change., Objectives: We evaluated new indicators of elderly people's exposure to heat in Paris, from a public health prevention perspective, using satellite thermal images., Methods: We used a time series of 61 images from the satellites of the National Oceanic and Atmospheric Administration's (NOAA) Advanced Very High Resolution Radiometer (AVHRR) taken from 1 to 13 August 2003 to produce thermal indicators of minimum, maximum, and mean surface temperatures and diurnal temperature amplitude, with different lags between the meteorological data and the health impact. Health data came from a case\textendash{}control study involving 241 people {$\geq$} 65 years of age who died in the city of Paris or the nearby suburban area of Val-de-Marne during the August 2003 heat wave, and 241 controls who were matched to cases on age, sex, and residential zone. For each person, we integrated the thermal indicators in a conditional logistic regression model, adjusted for age and other potential confounders. We computed odds ratios (ORs) comparing the 90th and 50th percentiles of the temperature differences between cases and controls for various indicators., Results: Mortality risk was significantly associated with exposure for two indicators: minimum temperatures averaged for 1\textendash{}13 August [for a 0.41\textdegree{}C increase, OR = 2.17; 95\% confidence interval (CI): 1.14, 4.16] and minimum temperature averaged on the day of death and the 6 preceding days (for a 0.51\textdegree{}C increase: OR = 2.24; 95\% CI: 1.03, 4.87)., Conclusions: Our results support the influence of night temperatures on the health impact of heat waves in urban areas. Urban heat exposure indicators based on satellite imagery have the potential to identify areas with higher risk of death, which could inform intervention decisions by key stakeholders.},
number = {2},
journal = {Environmental Health Perspectives},
doi = {10.1289/ehp.1103532},
author = {Laaidi, Karine and Zeghnoun, Abdelkrim and Dousset, B{\'e}n{\'e}dicte and Bretin, Philippe and Vandentorren, St{\'e}phanie and Giraudet, Emmanuel and Beaudeau, Pascal},
month = feb,
year = {2012},
pages = {254-259},
file = {/Users/philemonpoux/Zotero/storage/KVJWC8LF/Laaidi et al. - 2012 - The Impact of Heat Islands on Mortality in Paris d.pdf},
pmid = {21885383},
pmcid = {PMC3279432}
title = {Heatwaves: Hotter, Longer, More Often},
isbn = {978-0-9924142-2-1 978-0-9924142-3-8},
shorttitle = {Heatwaves},
language = {en},
author = {Steffen, W. L and Hughes, Lesley and Perkins, Sarah and {Climate Council}},
year = {2014},
file = {/Users/philemonpoux/Zotero/storage/I8HMLH54/Steffen et al. - 2014 - Heatwaves hotter, longer, more often.pdf},
note = {OCLC: 873518717}
title = {Climate Vulnerability Mapping: {{A}} Systematic Review and Future Prospects},
volume = {0},
copyright = {\textcopyright{} 2019 Wiley Periodicals, Inc.},
issn = {1757-7799},
shorttitle = {Climate Vulnerability Mapping},
abstract = {Maps synthesizing climate, biophysical and socioeconomic data have become part of the standard tool-kit for communicating the risks of climate change to society. Vulnerability maps are used to direct attention to geographic areas where impacts on society are expected to be greatest and that may therefore require adaptation interventions. Under the Green Climate Fund and other bilateral climate adaptation funding mechanisms, donors are investing billions of dollars of adaptation funds, often with guidance from modeling results, visualized and communicated through maps and spatial decision support tools. This paper presents the results of a systematic review of 84 studies that map social vulnerability to climate impacts. These assessments are compiled by interdisciplinary teams of researchers, span many regions, range in scale from local to global, and vary in terms of frameworks, data, methods, and thematic foci. The goal is to identify common approaches to mapping, evaluate their strengths and limitations, and offer recommendations and future directions for the field. The systematic review finds some convergence around common frameworks developed by the Intergovernmental Panel on Climate Change, frequent use of linear index aggregation, and common approaches to the selection and use of climate and socioeconomic data. Further, it identifies limitations such as a lack of future climate and socioeconomic projections in many studies, insufficient characterization of uncertainty, challenges in map validation, and insufficient engagement with policy audiences for those studies that purport to be policy relevant. Finally, it provides recommendations for addressing the identified shortcomings. This article is categorized under: Vulnerability and Adaptation to Climate Change {$>$} Values-Based Approach to Vulnerability and Adaptation},
language = {en},
number = {0},
journal = {Wiley Interdisciplinary Reviews: Climate Change},
doi = {10.1002/wcc.600},
author = {de Sherbinin, Alex and Bukvic, Anamaria and Rohat, Guillaume and Gall, Melanie and McCusker, Brent and Preston, Benjamin and Apotsos, Alex and Fish, Carolyn and Kienberger, Stefan and Muhonda, Park and Wilhelmi, Olga and Macharia, Denis and Shubert, William and Sliuzas, Richard and Tomaszewski, Brian and Zhang, Sainan},
month = jul,
year = {2019},
keywords = {vulnerability,meta-analysis,adaptation,climate change,mapping,social vulnerability,spatial indices},
pages = {e600},
file = {/Users/philemonpoux/Zotero/storage/8NYNKYUL/Sherbinin et al. - Climate vulnerability mapping A systematic review.pdf;/Users/philemonpoux/Zotero/storage/DYVUFE8F/wcc.html}
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