Our 2015 study examines the impact of 21st - century projected climate changes (CMIP5, RCP4.5 scenario) on a number of tropical cyclone metrics, using the GFDL hurricane model to downscale storms in all basins from one of the lower
resolution global atmospheric models mentioned above.
This result suggests that current projections of regional climate change may be questionable.This finding is also highly relevant to regional climate modelling studies where lower
resolution global atmospheric models are often used as the driving model for high resolution regional models.
Not exact matches
Their findings, based on output from four
global climate
models of varying ocean and
atmospheric resolution, indicate that ocean temperature in the U.S. Northeast Shelf is projected to warm twice as fast as previously projected and almost three times faster than the
global average.
The
global climate
models assessed by the Intergovernmental Panel on Climate Change (IPCC), which are used to project
global and regional climate change, are coarse
resolution models based on a roughly 100 - kilometer or 62 - mile grid, to simulate ocean and
atmospheric dynamics.
This study employed three newly developed
global coupled climate
models to study the impact of horizontal
atmospheric model resolution (tile size) on precipitation extremes.
Using variable
resolution global models, their analyses will take into account the sensitivity of water cycle processes such as
atmospheric rivers and monsoons to
model resolution.
(In comparison, horizontal
resolutions in most of the
global atmospheric models referenced in the IPCC's 4th assessment are of the order of 100 - 300 km).
JIGSAW (GEO) is a set of algorithms designed to generate complex, variable
resolution unstructured meshes for geophysical
modelling applications, including:
global ocean and
atmospheric simulation, numerical weather prediction, coastal ocean
modelling and ice - sheet dynamics.
In a new paper by Saba et al., they compare simulations and an
atmospheric CO2 doubling response from four NOAA Geophysical Fluid Dynamics Laboratory (GFDL)
global climate
models of varying ocean and atmosphere
resolution.
The sources of uncertainty are many, including the trajectory of greenhouse gas emissions in the future, their conversion into
atmospheric concentrations, the range of responses of various climate
models to a given radiative forcing and the method of constructing high
resolution information from
global climate
model outputs (Pittock, 1995; see Figure 13.2).
The development and application of scenarios from high -
resolution regional climate
models and
global atmospheric models (time - slices) since the TAR confirms that improved
resolution allows a more realistic representation of the response of climate to fine - scale topographic features (e.g., lakes, mountains, coastlines).