Rangwala I., C. Dewes and J. J. Barsugli (March 2016): High -
resolution climate modeling for regional adaptation.
The research in the paper combined the latest climate predictions from the Met Office Hadley Centre, including a high
resolution climate model for the UK, with two phosphorus transfer models of different complexity.
Not exact matches
While rainfall intensity was more realistically predicted by the high -
resolution climate models, particularly
for summer convective storms, these storms do not make a significant difference to summer phosphorus losses.
The high
resolution made it possible
for the researchers to uncover the processes taking place in the atmosphere, which are only included in global
climate models to a very approximate degree.
«The issue here is that there is always a trade - off in
climate modeling between high
resolution and acceptable computational cost — primarily time needed
for simulation,» Gutowski explains.
Vahmani and Jones used a high -
resolution regional
climate model for their analysis; Vahmani then added a component to the
model to account
for irrigation water.
So it would be nice
for the
climate models to have sufficient
resolution to be able to predict the impact of changes in coastal sea ice.»
This approach is a natural fit
for climate science: a single run of a high -
resolution climate model can produce a petabyte of data, and the archive of
climate data maintained by the UK Met Office, the national weather service, now holds about 45 petabytes of information — and adds 0.085 petabytes a day.
For now, Georgescu said, he will concentrate on regional
modeling because global
climate models do not yet offer enough
resolution to illuminate
climate trends in areas like the Sun Corridor.
Resolution in Opposition to a Carbon Tax: Despite support
for a carbon tax from ALEC members like ExxonMobil, ALEC is creating a
model bill to weigh in on what will become the keystone policy battle
for climate change science deniers, a battle that is already creating a rift among conservative groups, like the Koch - funded Heritage Foundation and the Heartland Institute against the R Street Institute.
In a new paper, Schneider et al. outline a blueprint
for a next - generation
climate model that would employ advancements in data assimilation and machine learning techniques to learn continuously from real - world observations and high -
resolution simulations.
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models only) Electric park brake Cruise control with speed limiter Dual - zone
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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.
Because they are run
for short periods of time only, they tend to have much higher
resolution and more detailed physics than
climate models (but note that the Hadley Centre
for instance, uses the same
model for climate and weather purposes).
But the GFDL study is based on a state - of - the - art high -
resolution model that is more appropriate
for hurricane studies and provides important evidence suggesting that
climate change may have an effect on the TCs.
For example, many mechanistic
models used to simulate the ecological effects of
climate change operate at spatial
resolutions varying from a single plant to a few hectares.
Meanwhile, high -
resolution hurricane
models can forecast the growth and path of tropical storms, but would require much greater computer power or eons of time to simulate the large samples of storms required
for climate - change studies.
The main adaptation is that
climate -
model GCMs have a coarser «grid
resolution» that allows them to be run
for a large number of
model - years with the computers available.
Unfortunately, the figure also confirms that the spatial
resolution of theoutput from the GCMs used in the Mediterranean study is too coarse
for constructing detailed regional scenarios.To develop more detailed regional scenarios, modelers can combine the GCM results with output from statistical
models.3 This is done by constructing a statistical
model to explain the observed temperature or precipitation at a meteorological station in terms of a range of regionally - averaged
climate variables.
«I've been calling this a golden age
for high -
resolution climate modeling because these supercomputers are enabling us to do gee - whiz science in a way we haven't been able to do before,» said Wehner, who was also a lead author for the recent Fifth Assessment Report of the Intergovernmental Panel on Climate Change
climate modeling because these supercomputers are enabling us to do gee - whiz science in a way we haven't been able to do before,» said Wehner, who was also a lead author
for the recent Fifth Assessment Report of the Intergovernmental Panel on
Climate Change
Climate Change (IPCC).
This uncertainty is attributable to the inadequate
resolution of
climate models for resolving the small - scale turbulent dynamics of MBL clouds.
Because most AOGCMs have coarse
resolution and large - scale systematic errors, and extreme events tend to be short lived and have smaller spatial scales, it is somewhat surprising how well the
models simulate the statistics of extreme events in the current
climate, including the trends during the 20th century (see Chapter 9
for more detail).
Moreover, changes in
models often affect
climate simulations in ways that are understandable in physical, real - world terms; increasing an ocean -
model's
resolution,
for example, makes the simulated Gulf Stream stronger, and thus enhances heat transport to the North Atlantic.
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.
The lowest -
resolution model, LOAR, was designed to have a
resolution similar to that of many
models used
for climate change projections in the latest IPCC report: 125 × 125 miles.
A top - down
climate effect that shows long - term drift (and may also be out of phase with the bottom - up solar forcing) would change the spatial response patterns and would mean that
climate - chemistry
models that have sufficient
resolution in the stratosphere would become very important
for making accurate regional / seasonal
climate predictions.
Miyamoto and his colleagues showed that an intermediate
resolution can be used to drive deep moist convection, thus providing a clear target
for future
climate model development.
It contains a suite of routines
for downscaling coarse scale global
climate model (GCM) output to a fine spatial
resolution.
The current generation high - end computers
for climate research have a capability of about 50 teraflops, which makes it possible to integrate a typical
climate model with about 100 km horizontal
resolution for 20 years in one day.
- ARAMATE (The reconstruction of ecosystem and
climate variability in the north Atlantic region using annually resolved archives of marine and terrestrial ecosystems)- CLIM - ARCH-DATE (Integration of high resolution climate archives with archaeological and documentary evidence for the precise dating of maritime cultural and climatic events)- CLIVASH2k (Climate variability in Antarctica and Southern Hemisphere in the past 2000 years)- CoralHydro2k (Tropical ocean hydroclimate and temperature from coral archives)- Global T CFR (Global gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate Reconstruct
climate variability in the north Atlantic region using annually resolved archives of marine and terrestrial ecosystems)- CLIM - ARCH-DATE (Integration of high
resolution climate archives with archaeological and documentary evidence for the precise dating of maritime cultural and climatic events)- CLIVASH2k (Climate variability in Antarctica and Southern Hemisphere in the past 2000 years)- CoralHydro2k (Tropical ocean hydroclimate and temperature from coral archives)- Global T CFR (Global gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate Reconstruct
climate archives with archaeological and documentary evidence
for the precise dating of maritime cultural and climatic events)- CLIVASH2k (
Climate variability in Antarctica and Southern Hemisphere in the past 2000 years)- CoralHydro2k (Tropical ocean hydroclimate and temperature from coral archives)- Global T CFR (Global gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining modeled multidecadal climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate Reconstruct
Climate variability in Antarctica and Southern Hemisphere in the past 2000 years)- CoralHydro2k (Tropical ocean hydroclimate and temperature from coral archives)- Global T CFR (Global gridded temperature reconstruction method comparisons)- GMST reconstructions - Iso2k (A global synthesis of Common Era hydroclimate using water isotopes)- MULTICHRON (Constraining
modeled multidecadal
climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System Models)- PSR2k (Proxy Surrogate Reconstruct
climate variability in the Atlantic using proxies derived from marine bivalve shells and coralline algae)- PALEOLINK (The missing link in the Past — Downscaling paleoclimatic Earth System
Models)- PSR2k (Proxy Surrogate Reconstruction 2k)
Global
climate models (ESMs or GCMs) can provide
climate information on scales of around 1000 by 1000 km (with grid
resolution of 100's of km) covering what could be a vastly differing landscape (from very mountainous to flat coastal plains
for example) with greatly varying potential
for floods, droughts or other extreme events.
The ClimDown R package publishes the routines and techniques of the Pacific
Climate Impacts Consortium (PCIC)
for downscaling coarse scale Global
Climate Models (GCMs) to fine scale spatial
resolution.
It produces serious burnout in the research community and consumes valuable resources
for tasks such as running the SRES scenarios with high -
resolution global
climate models (GCMs).
Mass - balance
modelling of all glaciers individually is not practical because no detailed description exists
for the great majority of them, and because local
climate data are not available; even regional
climate models do not have sufficient
resolution, while downscaling methods can not generally be used because local
climate measurements have not been made (see Section 10.7).
Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor
for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse -
resolution climate models that are also discussed in Chapter 13.
Hence, while high
resolution global
climate models (GCMs) and many downscaling methods can provide high
resolution data, and add value in,
for example, regions of complex topography, it is not a given that there will be more value in the final
climate change message.
This very rapid simulation
model reproduces the response properties of state - of - the - art three dimensional
climate models very well — well within the uncertainties of the high
resolution models — and with sufficient precision to provide useful information
for its intended audience.
North American Regional
Climate Change Assessment Program (NARCCAP): six regional climate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal reso
Climate Change Assessment Program (NARCCAP): six regional
climate model analyses (and limited time - slice analyses from two global models) for the continental U.S. run at about 30 - mile horizontal reso
climate model analyses (and limited time - slice analyses from two global
models)
for the continental U.S. run at about 30 - mile horizontal
resolution.
Coarser
resolution results from four of the CMIP3
models were used as the boundary conditions
for the NARCCAP regional
climate model studies, with each of the regional
models doing analyses with boundary conditions from two of the CMIP3
models.
For terrestrial British Columbia, precipitation averages and extremes can be simulated more accurately within individual regions by using gridded downscaling to increase the
resolution of both global and regional
climate models.
Climate change projections have been provided in this report
for Metro Vancouver and the Capital Regional District from several difference sources: Global
Climate Models (GCMs) directly, high
resolution elevation - corrected projections from GCMs, and Regional
Climate Models.
For terrestrial British Columbia, precipitation averages and extremes can be simulated more accurately within individual regions by using gridded downscaling to increase the
resolution of regional
climate models.
But
for climate modeling, what you really need to do is take a picture of the entire planet with sufficient
resolution to see an object the size of a tiger in some detail.
North American Regional
Climate Change Assessment Program The North American Regional Climate Change Assessment Program (NARCCAP) is an international effort that produces high - resolution regional climate model simulations of North America's climate, for regional analysis and impacts s
Climate Change Assessment Program The North American Regional
Climate Change Assessment Program (NARCCAP) is an international effort that produces high - resolution regional climate model simulations of North America's climate, for regional analysis and impacts s
Climate Change Assessment Program (NARCCAP) is an international effort that produces high -
resolution regional
climate model simulations of North America's climate, for regional analysis and impacts s
climate model simulations of North America's
climate, for regional analysis and impacts s
climate,
for regional analysis and impacts studies.
Largely motivated by these applications, priorities
for climate model development are focused on increasing
resolution and adding complexity in the context of fully interactive earth system
models.
Remember,
for these «hurricane
models», you are trying to deal with a much higher
resolution (or more regional effects which are more weakly
modeled so far) than «
climate models» which deal with easier - to -
model larger affects... ie.
We review evidence
for climate change over the past several millennia from instrumental and high -
resolution climate «proxy» data sources and
climate modeling studies.
C++ package to generate variable
resolution unstructured mesh grids in complex domains.It is useful
for multi-
resolution GCMs and
climate process
modelling.
For example, studies examining the combined impacts of increased heat stress and air pollution are now more feasible because the
resolution of regional
climate models is converging with that of air - quality
models (e.g., Hogrefe et al., 2004).