Sentences with phrase «resolution climate modeling for»

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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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 Reconstructclimate 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 Reconstructclimate 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 ReconstructClimate 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 Reconstructclimate 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 resoClimate 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 resoclimate 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 sClimate 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 sClimate 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 sclimate model simulations of North America's climate, for regional analysis and impacts sclimate, 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).
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