Not exact matches
The
paper also describes an atmosphere - ocean
modeling study of feedback loops caused by
ice sheet melting under 2 °C conditions.
«The main difference between my
model and others is that I suggest that the
ice cap formed early, when Pluto was still spinning quickly, and that the basin formed later and not from an impact,» said Hamilton, who is lead author of the
paper.
Data collected by ship and
model simulations suggest that increased Pacific Winter Water (PWW), driven by circulation patterns and retreating sea
ice in the summer season, is primarily responsible for this OA expansion, according to Di Qi, the
paper's lead author and a doctoral student of Liqi Chen, the lead PI in China.
Their
paper, published in Physics of Fluids, from AIP Publishing, provides a
model for four stages of
ice formation on aircraft wings.
Current climate
models do not take into account glacial flow and therefore underestimate the impact of glacial melt and the calving of
ice flows, the researchers argue in a
paper detailing the findings in today's Science.
«The primary uncertainty in sea level rise is what are the
ice sheets going to do over the coming century,» said Mathieu Morlighem, an expert in
ice sheet
modeling at the University of California, Irvine, who led the
paper along with dozens of other contributors from institutions around the world.
From at least Lorius et al (1991)-- when we first had reasonable estimates of the greenhouse gases from the
ice cores, to an upcoming
paper by Schneider von Deimling et al, where they test a multi-model ensemble (1000 members) against LGM data to conclude that
models with sensitivities greater than about 4.3 ºC can't match the data.
In his
paper, he proposed a few theories as to what might have gone wrong, including the idea that the
ice age
model he used was inaccurate or that the estimations of 20th - century sea - level rise were too high.
It's a long
paper with a long title: «
Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate
modeling, and modern observations that 2 oC global warming could be dangerous».
If we had done a simple back - of - the - envelope estimate, surely someone would have criticized us for not using a climate
model... Besides we also looked into regional patterns and the sea -
ice response in our
paper, something one can not do without a climate
model.
Mike's work, like that of previous award winners, is diverse, and includes pioneering and highly cited work in time series analysis (an elegant use of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a
paper he had published with Tom Delworth of GFDL showing evidence in both climate
model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role of solar variations in explaining the pattern of the Medieval Climate Anomaly and Little
Ice Age, the relationship between the climate changes of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit of work in atmospheric chemistry (an analysis of beryllium - 7 measurements).
In a more recent
paper, our own Stefan Rahmstorf used a simple regression
model to suggest that sea level rise (SLR) could reach 0.5 to 1.4 meters above 1990 levels by 2100, but this did not consider individual processes like dynamic
ice sheet changes, being only based on how global sea level has been linked to global warming over the past 120 years.
See e.g. this review
paper (Schmidt et al, 2004), where the response of a climate
model to estimated past changes in natural forcing due to solar irradiance variations and explosive volcanic eruptions, is shown to match the spatial pattern of reconstructed temperature changes during the «Little
Ice Age» (which includes enhanced cooling in certain regions such as Europe).
The
paper uses evidence and
modeling to explain how the sun - blocking impact from a 50 - year stretch of unusually intense eruptions of four tropical volcanoes caused sufficient cooling to produce a long - lasting shift in the generation and migration of Arctic Ocean sea
ice, with substantial consequences for the Northern Hemisphere climate that lasted centuries and left a deep imprint on European history.
For example, Hansen's recent
paper on Scientific Reticence is quite explicit that much of important physics of
ice sheets is not included in the
models, hence his raising of matters to do with nonlinear behaviour (eg disintegration) of
ice sheets.
Don't get me wrong, I like this
paper a lot, and i hope more
ice models will explicitly incorporate CHW, rather than parametrizing by melt area and other such approximation.
The
papers questioned everything from the relative role of natural mechanisms in changes to the climate system vis - à - vis increased CO2 concentrations, the allegedly «unprecedented» nature of modern climate phenomena such as warming, sea levels, glacier and sea
ice retreat, and the efficacy and reliability of computer climate
models for projecting future climate states.
I suspect that it looked OK in your view or you didn't check; «the
paper i cited talks of the hiatus in global temperatures for the past 20 years or so, that the Little
Ice Age was global in extent, and that climate
models can not account for the observations we already have let alone make adequate predictions about what will happen in the future.
There are many who will not like this recent
paper published in Nature Communications on principle as it talks of the hiatus in global temperatures for the past 20 years or so, that the Little
Ice Age was global in extent, and that climate
models can not account for the observations we already have let alone make adequate predictions about what will happen in the future.
Originally posted on Open Mind: A new
paper by Hansen et al.,
Ice melt, sea level rise and superstorms: evidence from paleoclimate data, climate
modeling, and modern observations that 2 °C global warming is highly dangerous is currently under review...
Steven — Yet you expect me to believe in a theory based on a single
paper presenting «results from a regional
ice — ocean
model» which is contradicted by the available empirical evidence?
The climatological
model output
paper you referred to does indeed define
ice free to be anywhere between no
ice at all and 1000000 square kilometres.
I also snarked about
ice model skill assessment in a 1998
paper, which finally got responded to (and has been percolating) in about 2006.
Recent
paper on influence of melt ponds on the accuracy of
models for arctic sea
ice.
Similarly other Zwally detractors pointed to
papers such as Harig 2015 that claimed Antarctica was losing
ice, but Harig 2015 used GIA
models that were well known to over-estimate glacial rebound.
With regards to climate
models, there is a new
paper by Jiping Liu in PNAS that infers from CMIP5 climate
model simulations that the Arctic will be
ice free in September by around 2054 - 58.
The
paper concluded that «current climate
models are still quite poor at
modelling past sea
ice trends» after including a graph showing a decline in sea
ice starting at the beginning of the «satellite era» in 1979.
The
paper on
model runs with extremely rapid loss of sea
ice?
Also there are some
papers that have been ignored, such as Rampal 2011: IPCC climate
models do not capture Arctic sea
ice drift acceleration: Consequences in terms of projected sea
ice thinning and decline
A further question is that if this
paper sheds new light on a possible factor in climate change which «would require higher resolution sea -
ice and ocean
models than used in todays global climate
models», does this not suggest that todays global climate
models are insufficiently able to project climate change?