This study employed three newly developed global coupled climate models to study the impact of horizontal
atmospheric model resolution (tile size) on precipitation extremes.
Not exact matches
The smaller the squares, the higher the
model's
resolution and the better it will be at detecting small - scale
atmospheric changes that could spawn storms.
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.
A Columbia Engineering team led by Pierre Gentine, professor of earth and environmental engineering, and Adam Sobel, professor of applied physics and applied mathematics and of earth and environmental sciences, has developed a new approach, opposite to climate
models, to correct climate
model inaccuracies using a high -
resolution atmospheric model that more precisely resolves clouds and convection (precipitation) and parameterizes the feedback between convection and
atmospheric circulation.
The potential role of ocean variability in the sub-seasonal
atmospheric variability is another line of research that is increasing its visibility with the advancement of high -
resolution ocean
modeling capabilities.
This diagram shows types, and size distribution in micrometres, of
atmospheric particulate matter This animation shows aerosol optical thickness of emitted and transported key tropospheric aerosols from 17 August 2006 to 10 April 2007, from a 10 km
resolution GEOS - 5 «nature run» using the GOCART
model.
We also note that the
modeled response of
atmospheric pressure to the cooling effect of ice melt is large scale, tending to be of a meridional nature that should be handled by our
model resolution.
Abstract: Surface ocean wind datasets are required to be of high spatial and temporal
resolution and high precision to accurately force or be assimilated into coupled atmosphere - ocean numerical
models and understand ocean -
atmospheric processes.
«We find this fingerprint both in a high -
resolution climate
model in response to increasing
atmospheric carbon dioxide concentrations, and in the temperature trends observed since the late nineteenth century.»
The
atmospheric components of climate
models were never really designed for the study of TCs, but the fact that they can produce features with TC - like character when run at sufficiently high
resolutions, gives us increased confidence in the possibility that climate
models can be used to analyze climate change impacts on TCs.
This is computed from an ice sheet surface mass balance
model, with the snowfall amounts and temperatures derived from a high -
resolution atmospheric circulation
model.
[Response: As stated in my article, precipitation changes used in the projections are taken from a high -
resolution atmospheric model.
It has been suggested that this is linked to a general deepening of cyclones, noted as a common feature in high -
resolution atmospheric models (Machenhauer et al., 1996; Stratton 1999a).
One recent study used higher
resolution atmospheric models and found that several regions over the US experienced an increase in wind energy of around 2 %.
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.
A listing of the spatial and temporal
resolution of the atmospheric reanalysis datasets is given at https://reanalyses.org/atmosphere/comparison-table see the Model Output Resolution column and Publicly Available Dataset Resoluti
resolution of the
atmospheric reanalysis datasets is given at https://reanalyses.org/atmosphere/comparison-table see the
Model Output
Resolution column and Publicly Available Dataset Resoluti
Resolution column and Publicly Available Dataset
ResolutionResolution column.
The
resolution of the
atmospheric model is set to TL159L91 (IFS version 41r2), which corresponds to a 1.125 ° horizontal grid (125 km) with 91 vertical levels going up to 0.1 hPa.
Moreover, the coarse
resolution of NWP
models limits the interpretation and the description of the
atmospheric surface features.
«We find this fingerprint both in a high -
resolution climate
model in response to increasing
atmospheric carbon dioxide concentrations, and in the temperature trends observed since the late nineteenth century.»
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.
If a cyclic pattern could be found that is a natural analog for these
atmospheric oscillations, and upon investigation be found to out preform the lead time of the
models, with as good a
resolution as the 5 to 7 day
modeled forecast, shouldn't that be at least considered?
Here we assess the capability of ground - based observations and a high -
resolution (1.3 km) mesoscale
atmospheric transport
model to determine a change in greenhouse gas emissions over time from a metropolitan region.
(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 second part of the dissertation analyzes dust emission in an
atmospheric general circulation
model (AGCM), where realistic simulation is inhibited by the
model's coarse
resolution compared to the scale of the circulations observed to mobilize dust.
In addition, as land surface heterogeneity is a crucial part in high -
resolution modeling especially with respect to land surface changes, we want to dedicate a larger part of the input data session to efforts of generating high -
resolution land surface data sets (and time series of these) applicable as lower boundary conditions in
atmospheric reanalysis systems as well as in coupled reanalysis approaches.
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.
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).
However, while the horizontal
resolution of 2.5 ° (T42) or better in the
atmospheric component of many coupled
models is probably adequate to resolve most important features, the typical vertical
resolution of around 20 levels is probably too low, particularly in the
atmospheric boundary layer and near the tropopause.