The neXtSIM model is currently being developed at the Nansen Environmental and Remote Sensing Center, and is unique
among sea ice models owing to its rheological framework that is based on solid mechanics and allowing to reproduce the multifractal scaling invariance of sea ice deformation with an unprecedented realism.
Not exact matches
The military uses the microwave information to detect ocean wind speeds to feed into weather
models,
among other uses, but the data happen to be nearly perfect for sensing
sea ice, says Walt Meier, a
sea -
ice specialist with the NSIDC.
The team used a worldwide climate
model that incorporated normal month - to - month variations in
sea surface temperatures and
sea ice coverage,
among other climate factors, to simulate 12,000 years» worth of weather.
The remote impacts of Arctic
sea -
ice loss can only be properly represented using
models that simulate interactions
among the ocean,
sea ice, land and atmosphere.
Hansen et al. recently explored the effect of stratification of meltwater water on storminess,
sea surface temperature and
sea level rise and found that,
among other things, their
model predicted strong feedbacks in
ice sheet exposure to destabilizing influences.
Yet some kind of climate
model is indispensable to make future predictions of the climate system and IPCC has identified several reasons for respect in the climate
models including the fact that
models are getting better in predicting what monitoring evidence is actually observing around the world in regard to temperature,
ice and snow cover, droughts and floods, and
sea level rise
among other things.
Although there is a general consensus
among models that rising CO2 will drive warming and continued
ice melt into the future, IPCC
models failed to predict the current level of rapid
sea ice reduction.
Viable avenues for improving the information base include determining the primary causes of variation
among different climate
models and determining which climate
models exhibit the best ability to reproduce the observed rate of
sea ice loss.
However, there remains uncertainty in the rate of
sea ice loss, with the
models that most accurately project historical
sea ice trends currently suggesting nearly
ice - free conditions sometime between 2021 and 2043 (median 2035).12 Uncertainty across all
models stems from a combination of large differences in projections
among different climate
models, natural climate variability, and uncertainty about future rates of fossil fuel emissions.
Among the dynamic
models, 9 are fully - coupled (with
sea ice, ocean and atmosphere components) and 5 are
ice - ocean only.
Miller, J.R., and G.L. Russell, 1997: Investigating the interactions
among river flow, salinity and
sea ice using a global coupled atmosphere - ocean -
ice model.
There's now strong agreement on several of the weather and climate patterns that future Arctic
sea ice loss will create, provided that the right types of climate
models are put on the task —
models that capture the interplay
among atmosphere, oceans, and
sea ice.