Also, do the climate
change models correctly predict the temperature gaps between day and night — or does that not matter?
Not exact matches
«The new data set will allow us to check if our ocean
models can
correctly represent
changes in the flow of warm water under ice shelves,» he added.
Even
models that
correctly capture cloud behavior may fail to fully account for other climate feedbacks from factors like
changing snow and sea ice cover, atmospheric water vapor content, and temperature.
This is not only in excellent agreement with the observed temperature
changes at the surface (blue stars), it also
correctly reproduces the observed heat storage in the oceans — a strong indicator that the
model's heat budget is correct.
This is not only in excellent agreement with the observed temperature
changes at the surface (blue stars), it also
correctly reproduces the observed heat storage in the oceans — a strong indicator that the
model's heat budget is correct.
The approximately 20 - year lag (between atmospheric CO2 concentration
change and reaching equilibrium temperature) is an emerging property (just like sensitivity) of the global climate system in the GCM
models used in the paper I linked to above, if I understood it
correctly.
If you can't keep up with annual - decadal
changes in the TOA radiative imbalance or ocean heat content (because of failure to
correctly model changes in the atmosphere and ocean due to natural variability), then your climate
model lacks fidelity to the real world system it is tasked to represent.
The software doesn't
model it
correctly & the effect
changes depending on what climate you're in.
Make sure that the strange climate
changes in 1940 are
correctly replicated by the
models.
«The CCR - II report
correctly explains that most of the reports on global warming and its impacts on sea - level rise, ice melts, glacial retreats, impact on crop production, extreme weather events, rainfall
changes, etc. have not properly considered factors such as physical impacts of human activities, natural variability in climate, lopsided
models used in the prediction of production estimates, etc..
In fact, there has been no clear large - scale surface warming for more than 16 years now, and a new paper published earlier this month in the prestigious journal Nature Climate
Change affirms the climate
models inability to
correctly simulate these observations.
The problem is whether the traditional climate
model is
correctly interpreting climate
change.
The
models didn't
correctly predict
changes in outgoing radiation, or the humidity and temperature trends of the upper troposphere.
Given the above, there is little hope that the traditional climate
models correctly interpret climate
change and nothing concerning the real climate can be inferred from them because from a false premise everything can be concluded.
There is an implicit assumption that the
model, not only matches the 30y period temperatures but also
correctly captures the climate that is producing those
changes.
''... had the IPCC FAR
correctly projected the
changes in atmospheric GHG from 1990 to 2011, their «best estimate»
model with a 2.5 °C equilibrium climate sensitivity would have projected the ensuing global warming very accurately»
No climate
model correctly predicts the degree of long - term natural background variability of the temperature, which is * the * critical property needed to distinguish natural from anthropogenic
changes.
If climate
change can't be
modeled correctly at some number of grid points then I wouldn't expect accuracy at other grid points.