Sentences with phrase «regional models this time»

Not exact matches

The lynx's conservation strategy consists of connecting isolated populations through ecological corridors, but the information provided through local and regional population viability models for short and longer time periods also helps.

Overeem's technique «has the potential to give good quantitative rainfall estimates for real - time hazards forecasting, as well as regional and global climate model analysis in regions of the world where the impact could be great,» Baeck says.

«Modeling studies have shown that alteration of the regional water cycle during the dry season could affect both the timing and stability of the rainy season,» Spera said.

The climate sensitivity is an output of complex models (it is not decided ahead of time) and it doesn't help as much with the details of the response (i.e. regional patterns or changes in variance), but it's still quite useful for many broad brush responses.

What's Next: PNNL scientists are using a regional model at a much finer scale than conventional climate models to understand the processes that determine the time - scales of MJO and the roles of various types of clouds in its energy cycle.

Global aerosol models are similar to regional aerosol models, but with a coarser resolution, a broader geographic area, and a longer time span.

One approach is to develop empirical regional models that enable aragonite saturation state to be estimated from existing hydrographic measurements, for which greater spatial coverage and longer time series exist in addition to higher spatial and temporal resolution.

Full climate models also include large regional variations in absolute temperature (e.g. ranging from -50 to 30ºC at any one time), and so small offsets in the global mean are almost imperceptible.

Using (i) a state - of - the - art global climate model and (ii) a low - order energy balance model, we show that the global climate feedback is fundamentally linked to the geographic pattern of regional climate feedbacks and the geographic pattern of surface warming at any given time.

I've had time to transcribe a few sections, which are appended below, but wanted first to summarize an important point made by Hall, who has been using models to project regional temperature shifts for the Los Angeles region.

What is lacking is mainly the correlation between the models and real world in local and regional weather but this is also ever improving as the model time and spatial resolution improves.

The climate sensitivity is an output of complex models (it is not decided ahead of time) and it doesn't help as much with the details of the response (i.e. regional patterns or changes in variance), but it's still quite useful for many broad brush responses.

General circulation models and downscaled regional models exhibit persistent biases in deep convective initiation location and timing, cloud top height, stratiform area and precipitation fraction, and anvil coverage.

In another study, a multi-year time series of surface radiative fluxes and other atmospheric properties measured by a DOE climate program are being used at AER to evaluate radiative fluxes and to validate forecasts of surface temperature and other properties in the Weather Research and Forecasting (WRF) regional model.

Can the models provide skillful predictions of changes in regional climate statistics on multi-decadal time scales?»

Global and regional climate models have not demonstrated skill at predicting regional and local climate change and variability on multi-decadal time scales.

Charney was indulging in speculation, for computer models of the time were too crude to show what a regional change of albedo would actually do to the winds.

These are among several possibilities that scientists from all over the world grapple with as they attempt to develop a regional climate model for Sunderbans that can predict different scenarios at a time when the mangrove delta is being battered by cyclones and getting inundated due to sea - level rise.

Finally, I reiterate my request for you and Jason to present papers that document a skill of the multi-decadal (Type 4) regional climate models to predict (in hindcast) the observed CHANGES in climate statistics over this time period.

To present regional multi-decadal climate projections to the impact communities as part of their driving forces and boundary conditions (for their models and process studies), when there is NO skill on this time scale at predicting changes in climate statistics, is a serious misleading application of the scientific method.

As they have matured, climate models are being increasingly used to provide decision - relevant information to end users and policy makers, whose needs are helping define the focus of model development in terms of increasing prediction skill on regional and decadal time scales.

The inability of global climate models to match the timing or placement of short - term or regional precipitation patterns such as the West African monsoon may be alleviated by «downscaling» to use smaller scale climate models with increased area resolution.

Having gcm shown little usefulness on any manageable timescale, scientists are now wasting time to concoct regional models which can not possibly have any predicting skill whatsoever, as recognised even by the RC luminaries.

Researchers used a regional climate model to study links between a streak of cooler water in the tropical Atlantic during spring to the timing and intensity of West African monsoon rains.

doi: 10.1007 / s00382 -012-1313-4 who report quite limited predictive skill in two regions of the oceans on the decadal time period, but no regional skill elsewhere, when they conclude that «A 4 - model 12 - member ensemble of 10 - yr hindcasts has been analysed for skill in SST, 2m temperature and precipitation.

Within the confines of our work with RASM and CESM, we will: (i) quantify the added value of using regional models for downscaling arctic simulations from global models, (ii) address the impacts of high resolution, improved process representations and coupling between model components on predictions at seasonal to decadal time scales, (iii) identify the most important processes essential for inclusion in future high resolution GC / ESMs, e.g. ACME, using CESM as a test bed, and (iv) better quantify the relationship between skill and uncertainty in the Arctic Region for high fidelity models.

On p601, they state that «Models continue to have significant limitations, such as in their representation of clouds, which lead to uncertainties in the magnitude and timing, as well as regional details, of predicted climate change.»

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.

Imo local and regional models that can accurately forecast what matters to humans for policy (rainfall, temperature, storms, etc.) over time scales of a few days to one or two decades is critical.

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 resolution.

When the project started, we mostly ran global models looking at long timescales of decades, but more recently we have been running regional models looking at much shorter time periods of months to a few years as part of our weather@home series of experiments.

The world's climate is way too complex... with way too many significant global and regional variables (e.g., solar, volcanic and geologic activity, variations in the strength and path of the jet stream and major ocean currents, the seasons created by the tilt of the earth, and the concentration of water vapor in the atmosphere, which by the way is many times more effective at holding heat near the surface of the earth than is carbon dioxide, a non-toxic, trace gas that all plant life must have to survive, and that produce the oxygen that WE need to survive) to consider for any so - called climate model to generate a reliable and reproducible predictive model.

This paper aims to address the question of how the runoff extremes change in the future compared to the historical time period, investigate the different behaviors of the regional climate models (RCMs) regarding the runoff extremes and assess the seasonal variations of runoff extremes.

The climate models got scores far worse than a random walk, indicating a complete failure to provide valid forecast information at the regional level, even on long time scales.

Climate models, unfortunately, are still unable to provide skillful predictions of changes in regional climate statistics on multi-decadal time scales at the detail desired by the impacts communities.

Perhaps I'm missing something, but the main point of the paper seems to be that due to the inaccuracy of the models demonstrated for any particular station and time period, they will also have questionable validity for regional or global prediction at longer time scales.

There continues to be very high confidence that models reproduce observed large - scale mean surface temperature patterns... There is high confidence that regional - scale surface temperature is better simulated than at the time of the AR4.

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).

My favorite quote from that paper is: «Because ENSO is the dominant mode of climate variability at interannual time scales, the lack of consistency in the model predictions of the response of ENSO to global warming currently limits our confidence in using these predictions to address adaptive societal concerns, such as regional impacts or extremes (Joseph and Nigam 2006; Power et al. 2006).»

But models still have difficulty simulating regional - to - local rainfall in the right location, amount and timing.

Statistical models of time - series Further extensions involve the use of statistical models of global, hemispheric and regional temperature time - series.

Even if (tuned) models reproduce global average temperature or whatever exactly, unless regional variations also match we are likely wasting our time.

Features of the model described here include the following: (1) tripolar grid to resolve the Arctic Ocean without polar filtering, (2) partial bottom step representation of topography to better represent topographically influenced advective and wave processes, (3) more accurate equation of state, (4) three - dimensional flux limited tracer advection to reduce overshoots and undershoots, (5) incorporation of regional climatological variability in shortwave penetration, (6) neutral physics parameterization for representation of the pathways of tracer transport, (7) staggered time stepping for tracer conservation and numerical efficiency, (8) anisotropic horizontal viscosities for representation of equatorial currents, (9) parameterization of exchange with marginal seas, (10) incorporation of a free surface that accommodates a dynamic ice model and wave propagation, (11) transport of water across the ocean free surface to eliminate unphysical «virtual tracer flux» methods, (12) parameterization of tidal mixing on continental shelves.

But before the two were removed from the company's regional e-store, a fourth Asus ZenFone 4 configuration also came into sight for a very short time, carrying model number ZE554KL.

Samsung has to contend with hundreds of regional variants and carrier models when it comes to platform updates, so it's understandable that they take time.