Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Seasonal cycles enhance disparities between low- and high-income countries in exposure to monthly temperature emergence with future warming

Datos Bibliográficos

ID15546752
AutoresLuke J Harrington (0000-0002-1699-6119, University of Oxford, autor de correspondencia), David J Frame (0000-0002-0949-3994, Victoria University of Wellington), Emily Hawkins (0000-0001-9477-3677, National Centre for Atmospheric Science), Ed Hawkins, Manoj Joshi (0000-0001-6031-8924, University of East Anglia)
Año2017
Volumen12
Número11
Páginas114039-114039
Fecha de publicación2017-10-24
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnvironmental Research Letters (JOURNAL)
Identificadores de la revistaISSN: 1748-9326 • E-ISSN: 1748-9326
EditorialIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/aa95ae
OpenAlexW2765085931
IdiomaEN
Citas recibidas6
Referencias citadas44

A common proxy for the adaptive capacity of a community to the impacts of future climate change is the range of climate variability which they have experienced in the recent past. This study presents an interpretation of such a framework for monthly temperatures. Our results demonstrate that emergence into genuinely 'unfamiliar' climates will occur across nearly all months of the year for low-income nations by the second half of the 21st century under an RCP8.5 warming scenario. However, high income countries commonly experience a large seasonal cycle, owing to their position in the middle latitudes: as a consequence, temperature emergence for transitional months translates only to more-frequent occurrences of heat historically associated with the summertime. Projections beyond 2050 also show low-income countries will experience 2-10 months per year warmer than the hottest month experienced in recent memory, while high-income countries will witness between 1-4 months per year hotter than any month previously experienced. While both results represent significant departures that may bring substantive societal impacts if greenhouse gas emissions continue unabated, they also demonstrate that spatial patterns of emergence will compound existing differences between high and low income populations, in terms of their capacity to adapt to unprecedented future temperatures

Climate change · Climatology · Developing country · Economic growth · Economics · Geography · Global warming · Greenhouse gas · Heat wave · High income countries · Latitude · Natural resource economics · Proxy (statistics · Climate Change and Health Impacts · Climate Change Policy and Economics · Climate variability and models · Environmental Science · Ecology

  • Localness in Climate Change

    Theodore G Shepherd, Adam H Sobel•Comparative Studies of South Asia…•2020

  • Changing population dynamics and uneven temperature emergence combine to exacerbate regional exposure to heat extremes under 1.5 °C and 2 °C of warming

    Open Access•Luke J Harrington, Friederike E L Otto•Environmental Research Letters•2018

  • Adapting attribution science to the climate extremes of tomorrow

    Open Access•Luke J Harrington, Friederike E L Otto•Environmental Research Letters•2018

  • Changes to population-based emergence of climate change from CMIP5 to CMIP6

    Open Access•Hunter Douglas, Luke J Harrington et al.•Environmental Research Letters•2022

  • Temperature emergence at decision-relevant scales

    Open Access•Luke J Harrington•Environmental Research Letters•2021

  • Embracing the complexity of extreme weather events when quantifying their likelihood of recurrence in a warming world

    Open Access•Luke J Harrington, Sophie Lewis et al.•Environmental Research Letters•2018

  • Biodiversity redistribution under climate change

    Open Access•Gretta T Pecl, Miguel B Araújo et al.•Science•2017

  • Mortality risk attributable to high and low ambient temperature

    Open Access•Antonio Gasparrini, Yuming Guo et al.•The Lancet•2015

  • Deadly heat waves projected in the densely populated agricultural regions of South Asia

    Open Access•Eun‐Soon Im, Jeremy S Pal et al.•Science Advances•2017

  • The Potential to Narrow Uncertainty in Regional Climate Predictions

    Emily Hawkins, Ed Hawkins et al.•Bulletin of the American…•2009

  • Global non-linear effect of temperature on economic production

    Open Access•Meghan Burke, Marshall Burke et al.•Nature•2015

  • Stakeholder Perspectives on the Attribution of Extreme Weather Events

    Open Access•Sebastian Sippel, Peter Walton et al.•Weather, Climate, and Society•2015

  • Differential Adaptive Capacity to Extreme Heat

    Mary H Hayden, Hannah Brenkert-Smith et al.•Weather, Climate, and Society•2011

  • Poorest countries experience earlier anthropogenic emergence of daily temperature extremes

    Open Access•Luke J Harrington, David J Frame et al.•Environmental Research Letters•2016

  • Getting caught with our plants down

    Open Access•David B Lobell, Claudia Tebaldi•Environmental Research Letters•2014

  • Dislocated interests and climate change

    Open Access•Steven J Davis, Noah S Diffenbaugh et al.•Environmental Research Letters•2016

  • Attributing human mortality during extreme heat waves to anthropogenic climate change

    Open Access•Daniel Mitchell, Dann Mitchell et al.•Environmental Research Letters•2016

  • Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation

    Open Access•David B Lobell, Meghan Burke et al.•Environmental Research Letters•2008

  • Early onset of significant local warming in low latitude countries

    Open Access•Irina Mahlstein, Reto Knutti et al.•Environmental Research Letters•2011

  • The spatial distribution of extreme climate events, another climate inequity for the world’s most vulnerable people

    Open Access•Donna Green•Environmental Research Letters•2016

  • Greater increases in temperature extremes in low versus high income countries

    Open Access•Nicholas Herold, Lisa Alexander et al.•Environmental Research Letters•2017

Obras citantes distintas6
Citas por año0,75
Intervalo de citas2018 - 2022 (5)
Velocidad de citaciónhistorical
Altamente citadoNo
Tipos de citaNeutras: 6
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae