The findings are relevant to modern -
day atmospheric models and to an understanding of what a loss of sea ice means to both sea and land temperatures.
Not exact matches
The
model suggests
atmospheric oxygen was likely at around 10 % of present
day levels during the two billion years following the Great Oxidation Event, and no lower than 1 % of the oxygen levels we know today.
The observations are best described by
atmospheric models for which most of the incident energy is re-radiated away from the
day side.
For the hydrological
modelling of the Thames river catchment done at CEH we showed that the changes in
atmospheric circulation and precipitation caused higher peak 30 -
day river flow, while flood risk mapping revealed a small increase in flood risk for properties in the Thames catchment.
Alexeev, V.A., et al., 1998:
Modelling of the present -
day climate by the INM RAS
atmospheric model «DNM GCM».
Chaos is defined with respect to infinitesimal perturbations and infinite integration times, but our uncertainties in the current
atmospheric state are far too large to be treated as infinitesimal, and furthermore, all of our
models have errors which mean that they will inevitably fail to track reality within a few
days irrespective of how well they are initialised.
One could record sun angle, actual sea and air temps, humidities and winds and match these to the different
atmospheric dynamics in the tropics and develop a quantitative formula (I guess this is called a
model these
days).
In that particular case, it was shown that most of the
model bias came from the
atmospheric component and that the
model error developed very fast (after 5
days for certain variables).
If a cyclic pattern could be found that is a natural analog for these
atmospheric oscillations, and upon investigation be found to out preform the lead time of the
models, with as good a resolution as the 5 to 7
day modeled forecast, shouldn't that be at least considered?
Pinatubo was particularly good for this, because as Soden et al 2002 showed, the GCMs of the
day not only accurately
modeled the
atmospheric drying after the eruption, but also demonstrated that a positive water vapor feedback was required to explain the MSU - measured lower troposphere temperatures.
«Coupled
models are becoming increasingly reliable tools for understanding climate and climate change, and the best
models are now capable of simulating present -
day climate with accuracy approaching conventional
atmospheric observations,» said Reichler.
In addition to treating cloud transmission based only on the measurements at the local time of the TOMS observations, the results from other satellites and weather assimilation
models can be used to estimate
atmospheric UV irradiance transmission throughout the
day.
So I guess my question summed up is: how far off is the
atmospheric community from having significant accuracy (95 %) up to 12
days away and do you think significant advances in accurate
atmospheric science computer
modeling will reduce the amount of jobs for aspiring meteorologists?
3 brave researchers finally figure out what has been obvious to mathematical modelers (who know to backtest
models on past, known, data) since
day one of the IPCC extravaganza - we could double
atmospheric CO2 and the chance of the planet tipping into a 4.5 C temperature increase (current catastrophe scenario being peddled) would still remain under 1 %.
For the «2013 as observed» experiment, the
atmospheric model uses observed sea surface temperature data from December 2012 to November 2013 from the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) dataset (Stark et al. 2007; Donlon et al. 2012) and present
day atmospheric gas concentrations to simulate weather events that are possible given the observed climate conditions.
Another ensemble of
models shows a 35 percent increase in the number of
days with landfalling
atmospheric rivers in western North America.
Volodin, E. M., Dianskii, N. A. & Gusev, A. V. Simulating present -
day climate with the INMCM4.0 coupled
model of the
atmospheric and oceanic general circulations.
Present
day atmospheric simulations using GISS
Model: comparison to in - situ, satellite and reanalysis data.