Discrepancies in
the glacial climate simulations are further amplified by short integration times, as the deep ocean equilibrates on millennial timescales.
Connecting Antarctic sea ice to deep - ocean circulation in modern and
glacial climate simulations (Geophysical Research Letters)
Not exact matches
The finding suggests that future
climate simulations, unlike current ones, should account for the effects of these algae when making predictions about
glacial melt.
(Top left) Global annual mean radiative influences (W m — 2) of LGM
climate change agents, generally feedbacks in
glacial - interglacial cycles, but also specified in most Atmosphere - Ocean General Circulation Model (AOGCM)
simulations for the LGM.
Kim, S. - J., G.M. Flato, G.J. Boer, and N.A. McFarlane, 2002: A coupled
climate model
simulation of the Last
Glacial Maximum, Part 1: Transient multi-decadal response.
Using Mg / Ca paleothermometry from the planktonic foraminifera Globigerinoides ruber from the past 500 k.y. at Ocean Drilling Program (ODP) Site 871 in the western Pacific warm pool, we estimate the tropical Pacific
climate sensitivity parameter (λ) to be 0.94 — 1.06 °C (W m − 2) − 1, higher than that predicted by model
simulations of the Last
Glacial Maximum or by models of doubled greenhouse gas concentration forcing.
Although the primary driver of
glacial — interglacial cycles lies in the seasonal and latitudinal distribution of incoming solar energy driven by changes in the geometry of the Earth's orbit around the Sun («orbital forcing»), reconstructions and
simulations together show that the full magnitude of
glacial — interglacial temperature and ice volume changes can not be explained without accounting for changes in atmospheric CO2 content and the associated
climate feedbacks.
The results of these
simulations show that dust −
climate feedbacks, perhaps set off by orbital forcing, push the system in and out of extreme cold conditions such as
glacial maxima.
Based on transient
climate model
simulations of
glacial - interglacial transitions (rather than «snapshots» of different modeled
climate states), Ganopolski and Roche (2009) proposed that in addition to CO2, changes in ocean heat transport provide a critical link between northern and southern hemispheres, able to explain the apparent lag of CO2 behind Antarctic temperature.
Maybe you would find our recent manuscript interesting, in which we use an efficiently - generated ensemble of a state - of - the - art GCM, tuned to present - day
climate and validated (tested against out - of - sample data) with
simulations of the Last
Glacial Maximum.
Using Mg / Ca paleothermometry from the planktonic foraminifera Globigerinoides ruber from the past 500 k.y. at Ocean Drilling Program (ODP) Site 871 in the western Pacific warm pool, we estimate the tropical Pacific
climate sensitivity parameter (λ) to be 0.94 — 1.06 °C (W m − 2) − 1, higher than that predicted by model
simulations of the Last
Glacial Maximum or by models of doubled greenhouse gas concentration forcing.
The representation of the
glacial ocean state and circulation in coupled
climate simulations differs substantially between models and is often at odds with the geological evidence.
To better understand these discrepancies, a recent study published in Geophysical Research Letters investigates the drivers of changes in deep ocean circulation across a range of modern and Last
Glacial Maximum (LGM, ~ 21000 years ago)
climate simulations from the latest Paleoclimate Modelling Intercomparison Project (PMIP).
As shown by our
simulations with a
climate − carbon cycle model, such a relationship between dust and
climate implies that dust - induced cooling is responsible for the final step from intermediate to extreme
glacial cooling and drawdown of atmospheric CO2 concentrations.
«Here, we show central China is a region that experienced a much larger temperature change since the Last
Glacial Maximum than typically simulated by
climate models... We find a summertime temperature change of 6 — 7 °C that is reproduced by
climate model
simulations presented here.»
Climate model
simulations of the Last
Glacial Maximum show an even stronger Bodélé LLJ compared with that of the present, and dated evidence points to the conditions under which deflation would have been capable of excavating the depression which was later partly filled by paleolake Megachad (31).