Not exact matches
We employed two different
climate model simulations: (1) the simulation of the NCAR CSM 1.4 coupled atmosphere - ocean General Circulation Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (
model simulations: (1) the simulation of the NCAR CSM 1.4
coupled atmosphere - ocean General Circulation
Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a simple Energy Balance Model (
Model (GCM) analyzed by Ammann et al (2007) and (2) simulations of a
simple Energy Balance
Model (
Model (EBM).
«Seasonal Cycle Experiments on
Climate Sensitivity Due to a Doubling of CO2 with an Atmospheric General Circulation
Model Coupled to a
Simple Mixed Layer Ocean
Model.»
Experiments with
coupled ocean - atmosphere general circulation
models (which represent the complexity of the
climate system much more realistically than this
simple model) give similar results.
These uncoupled
models have been tested, and we are now
coupling them into a
simple climate system.
We have investigated the
coupled chemistry -
climate response to projected emissions of greenhouse gases and ozone - depleting halogens over time, using the NASA GISS general circulation
model, incorporating
simple chemistry.
Once we have randomly selected our 395 emission pathways, we use the
simple coupled climate — carbon - cycle
model described in § 2b to estimate quantities such as the most likely peak warming for each pathway.
Our method consists of deriving a range of idealized CO2 emission pathways and using a
simple coupled climate — carbon - cycle
model to estimate the resulting
climate change.
IMO, the standard 1D energy balance
model of the Earth's
climate system will provide little in the way of further insights; rather we need to bring additional physics and theory (e.g. entropy and the 2nd law) into the
simple models, and explore the complexity of
coupled nonlinear
climate system characterized by spatiotemporal chaos.
In the 1960s, atmospheric scientists developed the first mathematical
models to understand the dynamics of the Earth's
climate, starting with atmospheric
models coupled to
simple surface
models (e.g., [171]-RRB-.
Coupled with the average
climate - change — driven rate of sea level rise over these same 25 y of 2.9 mm / y, simple extrapolation of the quadratic implies global mean sea level could rise 65 ± 12 cm by 2100 compared with 2005, roughly in agreement with the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5) model proje
climate - change — driven rate of sea level rise over these same 25 y of 2.9 mm / y,
simple extrapolation of the quadratic implies global mean sea level could rise 65 ± 12 cm by 2100 compared with 2005, roughly in agreement with the Intergovernmental Panel on
Climate Change (IPCC) 5th Assessment Report (AR5) model proje
Climate Change (IPCC) 5th Assessment Report (AR5)
model projections.