Sentences with phrase «simulated mean climate»

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.
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