To understand why, study authors measured range shifts,
studied regional temperature changes, and considered geographic constraints.
Not exact matches
Based on
regional studies, the Intergovernmental Panel on Climate
Change (IPCC) estimated that 20 — 30 % of the world's species are likely to be at increasingly high risk of extinction from climate change impacts within this century if global mean temperatures exceed 2 — 3 °C above pre-industrial levels [6], while Thomas et al. [5] predicted that 15 — 37 % of species could be «committed to extinction» due to climate change by
Change (IPCC) estimated that 20 — 30 % of the world's species are likely to be at increasingly high risk of extinction from climate
change impacts within this century if global mean temperatures exceed 2 — 3 °C above pre-industrial levels [6], while Thomas et al. [5] predicted that 15 — 37 % of species could be «committed to extinction» due to climate change by
change impacts within this century if global mean
temperatures exceed 2 — 3 °C above pre-industrial levels [6], while Thomas et al. [5] predicted that 15 — 37 % of species could be «committed to extinction» due to climate
change by
change by 2050.
The new research is a
regional climate
study of historical sea level pressures, winds and
temperatures over the eastern Pacific Ocean and draws no conclusions about climate
change on a global scale.
These facts suggest that the
temperature trend most likely occurred through natural
changes in
regional climate dynamics, the new
study concludes.
The massive new
study, involving 80 researchers from around the world with the Past Global
Changes (PAGES) group, is the first to look at continental temperature changes over two thousand years, providing insights into regional climatic changes from the Roman Empire to the mode
Changes (PAGES) group, is the first to look at continental
temperature changes over two thousand years, providing insights into regional climatic changes from the Roman Empire to the mode
changes over two thousand years, providing insights into
regional climatic
changes from the Roman Empire to the mode
changes from the Roman Empire to the modern day.
A new
study released Friday in the journal Science Advances helps clear up a bit of the mystery, by showing that man - made climate
change is responsible for most of the
change seen in ocean surface
temperatures near the equator across Asia, which in turn affect
regional rainfall patterns including the Indian monsoon.
A 2015
study using
regional ice core data reveals no unusual
temperature changes but an exceptional 30 % increase in snow accumulation during the twentieth century, again supporting Zwally's analysis of mass gain in interior west Antarctica.
In this
study, more than 1000 tree - ring, ice core, coral, sediment and other assorted proxy records spanning both hemispheres were used to construct
regional temperature change over the past 1500 years.
Our results point to the need for future observational and modeling
studies to focus on the
regional and seasonal characteristics of Antarctic climate
change, the
regional response to ozone depletion, the influence of tropical variability and climate
change on Antarctic climate, and on the mechanisms that link sea ice and air
temperature in Antarctica.
The correct timescale of climate
change studies seems closer to 100 years than 30 years and events such as the observed current stasis in
regional and global
temperature series or any observed increase or decrease in the prevalence of storms are merely weather.
Yet observational and modeling
studies have shown that these aerosols have led to large
regional changes in surface and atmospheric
temperatures, the surface energy budget, and rainfall (Ramanathan et al., 2001a; Chung et al., 2002; Menon et al., 2002b).
Lower case a-h refer to how the literature was addressed in terms of up / downscaling (a — clearly defined global impact for a specific ΔT against a specific baseline, upscaling not necessary; b — clearly defined
regional impact at a specific
regional ΔT where no GCM used; c — clearly defined
regional impact as a result of specific GCM scenarios but
study only used the
regional ΔT; d — as c but impacts also the result of
regional precipitation
changes; e — as b but impacts also the result of
regional precipitation
change; f —
regional temperature change is off - scale for upscaling with available GCM patterns to 2100, in which case upscaling is, where possible, approximated by using Figures 10.5 and 10.8 from Meehl et al., 2007; g —
studies which estimate the range of possible outcomes in a given location or region considering a multi-model ensemble linked to a global
temperature change.
In particular, the research indicates that seasonal and
regional changes in
temperature and, to a certain degree, precipitation can be estimated solely on the basis of carbon dioxide emissions, which makes it simpler to
study the effects of climate
change.