Not exact matches
BC17 derive a relationship in current generation (CMIP5) global
climate models between predictors consisting of three basic aspects of each of these
simulated fluxes in the recent past, and
simulated increases in global
mean surface temperature (GMST) under IPCC scenarios (ΔT).
Show in the above figure (Figure 2d from the article) is the D'Arrigo et al tree - ring based NH reconstruction (blue) along with the
climate model (NCAR CSM 1.4)
simulated NH
mean temperatures (red) and the «
simulated tree - ring» NH temperature series based on driving the biological growth model with the
climate model
simulated temperatures (green).
For the mid-Holocene, coupled
climate models are able to
simulate mid-latitude warming and enhanced monsoons, with little change in global
mean temperature (< 0.4 °C), consistent with our understanding of orbital forcing.
This
means that one is not
simulating the correct
climate, for that total energy state.
Evaluation of
Climate Models: Participants debated extensively the text dealing with
simulated and observed trends in global
mean surface temperature in the long and short term.
[¶]... Basing our assessment on a combination of several independent lines of evidence, as summarised in Box 10.2 Figures 1 and 2, including observed
climate change and the strength of known feedbacks
simulated in GCMs, we conclude that the global
mean equilibrium warming for doubling CO2, or «equilibrium
climate sensitivity», is likely to lie in the range 2 °C to 4.5 °C, with a most likely value of about 3 °C.
Indeed, it is difficult to communicate exactly what
climate projections
mean from a decision standpoint — they
simulate what might happen under some conditions but do not preclude other outcomes.
«This remarkable divergence between
simulated future
mean and extreme
climate is especially pronounced across Southern California.»
Nine global vegetation models (GVMs)(
meaning vegetation processes are
simulated, but not necessarily vegetation dynamics), four of which were DGVMs, were used in the Coupled
Climate — Carbon Cycle Model Intercomparison Project (3).
Taking into account CO2 - induced changes in vegetation, global
mean runoff under a 2 * CO2
climate has been
simulated to increase by approximately 5 % as a result of reduced evapotranspiration due to CO2enrichment alone («physiological forcing»)(Betts et al., 2007; Leipprand and Gerten, 2006).
For example, global
mean runoff has been
simulated to increase by 5 % -17 % due to
climate change alone in an ensemble of 143 2 * CO2 GCM simulations (Betts et al., 2006).
Independent tests of PV panel performance and overall quality are conducted in labs under standardized conditions
meant to
simulate actual and extreme conditions they're likely to be subjected to in various
climate and geographical zones across the U.S. and beyond.
BC17 derive a relationship in current generation (CMIP5) global
climate models between predictors consisting of three basic aspects of each of these
simulated fluxes in the recent past, and
simulated increases in global
mean surface temperature (GMST) under IPCC scenarios (ΔT).
The discrepancy between recent observed and
simulated trends in global
mean surface temperature has provoked a debate about possible causes and implications for future
climate change projections.
The authors tried to constrain the global -
mean future precipitation change
simulated by the set of
climate models participating in the CMIP2 model intercomparison project through observable temperature variability and a simple energetic framework.
There is a major industry that involves taking GCM output and using that to evaluate local impacts on crops, endangered species, and ecosystems, and often what gives the biggest impact is changes in the extremes, but even the
mean climate at a local scale has not been demonstrated to be accurately
simulated.
This
means the energy state of the
simulated climate increases systematically across the years.
And if their simulation of it doesn't look like the instrumentally - measured variability in the 20th century, that might
mean the
climate changed, or it might just
mean their
simulated variability isn't very realistic.
Currently,
climate models struggle to accurately
simulate even the
mean conditions of Antarctic sea ice (Turner et al., 2013), and the utility of these models as a tool to study Antarctic ice needs to be critically assessed.
Assessments of our relative confidence in
climate projections from different models should ideally be based on a comprehensive set of observational tests that would allow us to quantify model errors in
simulating a wide variety of
climate statistics, including simulations of the
mean climate and variability and of particular
climate processes.
The black line is a
simulated mean sea ice concentration from the CanESM2 large ensemble, a group of models developed at the Canadian Center for
Climate Modelling and Analysis.
Comparison of the observed global -
mean temperature record with
climate model simulations serves to validate (and better understand)
climate model performance and ability to
simulate the global -
mean temperature component of global
climate change in response to radiative forcings.
«Much of the work has focused on evaluating the models» ability to
simulate the annual
mean state, the seasonal cycle, and the inter-annual variability of the
climate system, since good data is available for evaluating these aspects of the
climate system.
Figure 1 in our paper shows that the sum of decomposition can recover almost exactly the
simulated climate sensitivity (here it
means changes in both atmosphere and surface temperatures).
Over a twenty year period ending 2012,
Climate alamists» GCMs
simulated a «rise in global
mean surface temperature of 0.30 ± 0.02 °C per decade,» compared to the actual rate of warming, was more than double.