Sentences with phrase «scale climate simulations»

Large - scale climate simulations uncover how climate warming is affecting the seemingly erratic behavior of the jet stream caused by vying forces.

The promise is that In a few more decades it will become possible to use such global [superparameterizations] to perform century - scale climate simulations, relevant to such problems as anthropogenic climate change.

Not exact matches

The small - scale processes giving rise to thunderstorms make their direct simulation in climate models impossible given current computing power.

NCAR plans more climate simulations that include even finer - scale detail of weather processes.

The Review is a super refined weekly web publication curated by subject matter experts from Yale who summarize important research articles from leading natural and social science journals with the hope that people can make more informed decisions using latest research results.The Review launched this week and covers a wide range of topics, like this brief about climate change and biodiversity («Biodiversity Left Behind in Climate Change Scenarios»): They find that simply using the traditional classification of a species in climate change simulations can underestimate the true scale of biodiversitclimate change and biodiversity («Biodiversity Left Behind in Climate Change Scenarios»): They find that simply using the traditional classification of a species in climate change simulations can underestimate the true scale of biodiversitClimate Change Scenarios»): They find that simply using the traditional classification of a species in climate change simulations can underestimate the true scale of biodiversitclimate change simulations can underestimate the true scale of biodiversity loss.

Studies such as Otto et al. (2012) display how the numerical scale of the simulation numbers allows for clear separation between a climate with lower level of heat - trapping gases (1960s) and the recent period (2000s), such that the 2010 heat wave in western Russia was more likely to occur with the additional warming due to climate change (Figure 3).

Leung describes a hierarchical framework to systematically evaluate climate simulations at regional scales and insights from several studies that analyzed simulations generated as part of the hierarchy to understand discrete challenges in regional climate simulations.

High - resolution simulations are being performed that resolve the local and regional variations of particulate characteristics to obtain a better understanding of important aerosol processes that need to be incorporated into larger - scale climate models.

Global climate simulations are just beginning to be able to resolve the largest of these key scales.

Other AgMIP initiatives include global gridded modeling, data and information technology (IT) tool development, simulation of crop pests and diseases, site - based crop - climate sensitivity studies, and aggregation and scaling.

Figure 1.4 http://cybele.bu.edu/courses/gg312fall02/chap01/figures/figure1.4.gif shows the natural variability of the annual mean surface temperature on several different spatial scales from a climate model simulation for 200 years.

For the moment, such efforts face challenges, including the persistent inability of computer climate simulations to reliably replicate climate patterns at the scale of states and cities.

Although the simulation conditions in the MMD 20th - century simulations were not identical to those in the CMIP1 & 2 control runs, the differences do not alter the conclusions summarised below because the large - scale climatological features dominate, not the relatively small perturbations resulting from climate change.

Member of the team Alena Kimbrough says, «We've shown ENSO is an important part of the climate system that has influenced global temperatures and rainfall over the past millennium... Our findings, together with climate model simulations, highlight the likelihood that century - scale variations in tropical Pacific climate modes can significantly modulate radiatively forced shifts in global temperature.»

The two former methods are dependent on the large - scale circulation variables from GCMs, and their value as a viable means of increasing the spatial resolution of climate change information thus partially depends on the quality of the GCM simulations.

See Swanson (2013) «Emerging Selection Bias in Large - scale Climate Change Simulations.»

However, detection and attribution analyses based on climate simulations that include these forcings, (e.g., Stott et al., 2006b), continue to detect a significant anthropogenic influence in 20th - century temperature observations even though the near - surface patterns of response to black carbon aerosols and sulphate aerosols could be so similar at large spatial scales (although opposite in sign) that detection analyses may be unable to distinguish between them (Jones et al., 2005).

We quantify sea - level commitment in the baseline case by building on Levermann et al. (10), who used physical simulations to model the SLR within a 2,000 - y envelope as the sum of the contributions of (i) ocean thermal expansion, based on six coupled climate models; (ii) mountain glacier and ice cap melting, based on surface mass balance and simplified ice dynamic models; (iii) Greenland ice sheet decay, based on a coupled regional climate model and ice sheet dynamic model; and (iv) Antarctic ice sheet decay, based on a continental - scale model parameterizing grounding line ice flux in relation to temperature.

Finally, simulations having finer spatial detail (i.e., «downscaled» climate model projections) do not necessarily have greater accuracy than coarser - resolution simulations; they add contextual detail related to factors such as regional topography and coastlines but may still retain the same basic climatic features simulated at larger scales.

Testing the hypotheses must be accomplished by using «hindcast» simulations that attempt to reproduce past climate behavior over multidecadal time scales.

The planning tool SUDPLAN makes information available for the period 1961 - 2100, from a number of climate scenarios scaled down across Europe, complete with hydrological simulations and results from an air pollution model.

Don't climate models break the Earth (mostly atmosphere) into billions of small volumes, each of which has a density, temp, humidity, radiative flux, albedo etc. and then isn't a climate simulation the process of combining the behavior of these billions of volumes to simulate large scale phenomena?

We use the large - eddy simulation code PyCLES to simulate the dynamics of clouds and boundary layers, to elucidate their response to climate changes, and to develop closure schemes for representing their smaller - scale dynamics in larger - scale climate and weather forecasting models.

-- and * MORE * global - scale climate - modeling and dynamic - simulation research?

Because the model parameterizations are not scale aware, increased precipitation produces zonally asymmetric climate circulation patterns that characterize the «errors» in the model simulations.

Roger could reply again by stating that models that don't show skill in projecting changing statistics can not be used for this reasoning by simulation, but I remain to disgree with him: the skill of climate models to project changing climate statistics at decadal time scales can formally not be established due to large role of natural variability, but is also not always required for generating useful information that enters the imagination process.

Lamarque, S. Tilmes, D.A. Plummer, J.F. Scinnoca, B. Josse, V. Marecal, P. Jöckel, L.D. Oman, S.E. Strahan, M. Deushi, T.Y. Tanaka, K. Yoshida, H. Akiyoshi, Y. Yamashita, A. Stenke, L. Revell, T. Sukhodolov, E. Rozanov, G. Pitari, D. Visioni, K.A. Stone, and R. Schofield, 2018: Large - scale tropospheric transport in the Chemistry Climate Model Initiative (CCMI) simulations.

Climate dialogue The focus of this Climate Dialogue will be on the reliability of climate simulations for the regionalClimate dialogue The focus of this Climate Dialogue will be on the reliability of climate simulations for the regionalClimate Dialogue will be on the reliability of climate simulations for the regionalclimate simulations for the regional scale.

Interpretation of climate model simulations has emphasized the existence of plateaus or hiatus in the warming for time scales of up to 15 - 17 years; longer periods have not been previously anticipated, and the IPCC AR4 clearly expected a warming of 0.2 C per decade for the early part of the 21st century.

A unified treatment of weather and climate models (i.e. the same dynamical cores for the atmosphere and ocean are used for models across the range of time scales) transfers confidence from the weather and seasonal climate forecast models to the climate models used in century scale simulations.

NCAR plans more climate simulations that include even finer - scale detail of weather processes.

In terms of longer timescales (decadal to century), once the focus becomes regional rather than global, historical and paleo data becomes more useful than global climate model simulations (no matter what type of «right - scaling» methods are attempted).

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.

(3) Natural as well as human - induced changes should be taken into account in climate model simulations of atmospheric temperature variability on the decade - to - decade time scale.

The model simulations are therefore taken as possibilities for future realworld climate and as such of potential value to society, at least on variables and scales where themodels agree in terms of their climate distributions (Smith 2002).

Studies such as Otto et al. (2012) display how the numerical scale of the simulation numbers allows for clear separation between a climate with lower level of heat - trapping gases (1960s) and the recent period (2000s), such that the 2010 heat wave in western Russia was more likely to occur with the additional warming due to climate change (Figure 3).

Clearly the major difficulty with all this work, something that turned me off it but few acknowledge, is that the lack of skill of simulations of climate change renders fraudulent any claim to skill at the species habitat scale.

Point two suggested an alternative between «This needs to be demonstrated either in the context of a more comprehensive scale analysis that includes the Navier Stokes equations» and «numerical model simulations using mesoscale or weather or climate models.»

They will focus on simulations that explore how the scale of the model affects clouds and atmospheric particles in different climate regimes.

The IPCC, and the climate science community as a whole, evidently considers this observationally - based - scaling approach to be a more robust way of identifying the influence of aerosols and other inhomogeneous forcings than the almost purely climate - model - simulations - based approach used by Shindell.

The weather prediction model used in this research is advantageous because it assesses details about future climate at a smaller geographic scale than global models, providing reliable simulations not only on the amounts of summer precipitation, but also on its frequency and timing.

The criticism mainly focused on the conceptual use of untested methods of CDR to keep global warming below 2C above pre-industrial levels in model simulations, the potential risks of deploying CDR technologies at scale, and the role of science in climate policy negotiations.

This scale factor was based on simulations with an early climate model [3,92]; comparable forcings are found in other models (e.g. see discussion in [93]-RRB-, but results depend on cloud representations, assumed ice albedo and other factors; so the uncertainty is difficult to quantify.

• Attention to the simulation of «weather» by climate models, thus accounting simultaneously for the verification of the so - called «fast» and «slow» time - scale processes.

It features components for the atmosphere, ocean, ocean sediment, land biosphere, and lithosphere and has been designed for global climate change simulations on time scales from years to millions of years.

Science Deliverable II In - depth NASA - style computational simulations that affirm ergodic climate dynamics on decadal time - scales.

Here we show that several independent, empirically corrected satellite records exhibit large - scale patterns of cloud change between the 1980s and the 2000s that are similar to those produced by model simulations of climate with recent historical external radiative forcing.

Climate model simulations indicate that changes in solar radiation a few times larger than those confirmed in the eleven - year cycle, and persisting over multi-decadal time scales, would directly affect the surface temperature.

All of these simulations exhibit a strongly damped hydrological cycle relative to that of the modern climate, with less evaporation over the oceans and continental - scale drying over land.

Why would anyone expect climate model simulations of the global temperature record to predict the «pause», when ocean models are not specifically set up to have the necessary capability to model such large - scale incursions of deep - ocean cold water.