Sentences with phrase «scale model outputs»

Then apply it to regional - scale model outputs?

If you could somehow separate out the micro-climate effects from scatter (e.g. T - storms) using recent data, could you apply that to the regional - scale model outputs?

Not exact matches

No matter how powerful the computer used or how impressive the model output, any model of a natural system is only as good as the authors» understanding of the interaction between the physical laws that define their subject and the potential of simple small - scale interactions to produce large - scale complexity, more readily summarised as:

The SFLF pilot model seems to be a very attractive option for small farmers who can significantly increase their income by harmonizing and synchronizing selected operations to achieve scale and gain bargaining power in input purchase and output sales.

Power outputs range from 90 kW / 122 hp to 200 kW / 272 hp; the torque scale starts at 230 and goes up to 350 Nm; fuel consumption ranges between 5.8 and 9.5 litres per 100 kilometres depending on the engine model and output class, and has been reduced by up to 10.8 percent compared with the outgoing Sports Coupé.

This solo exhibition introduces the artist's idiosyncratic output through eight printed Explications, some of which have never been shown before, alongside models of large - scale projects and the film work The Velocity of Thought (2006).

Are efforts best used in making global model output more applicable to the local scale, or in increasing the local skill and resolution of global models?

These is output from the large scale global models used to assess climate change in the past, and make projections for the future.

That means that the potential for natural variability to be more dominant on shorter time scales is high — and indeed, Connolley and Bracegirdle show a lot of variance in the model output on those time scales.

It contains a suite of routines for downscaling coarse scale global climate model (GCM) output to a fine spatial resolution.

Output, generated on the monthly time scale, is disaggregated to daily values with a weather generator and used to drive soybean yields in the crop model DSSAT - CSM, for which preliminary results are discussed.

The arguments put forward are that climate models, which produce output at a wide range of spatial and temporal scales, but it is claimed that the only become skillful at global scale with 30 - year temporal resolution.

We spatially aggregate model output and observations over the contiguous USA using data from 70 stations, and we perform comparison at several temporal scales, including a climatic (30 - year) scale.

Among these, he noted the close agreement between climate model output and observations down to spatial scales smaller than continents, which forms a part of the detection and attribution literature.

Comparisons between these reconstructions and the output of Earth system models provide evaluation opportunities to improve our understanding of climate forcings on time scales that are not adequately represented by the instrumental record.

But complex models of that sort can easily produce more than 100 prognostic and diagnostic climate variable outputs, at each of around a million grid points, for each model day, and almost all of these are averages which need to be downscaled to get useful information at point scale.

Moreover, the availability of the output from climate models and the advisability of using climate model results at particular scales, from the point of view of the climate modellers, ultimately determines what scales can and should be used.

Sure, but if it takes 500 years to notice them, I'm pretty sure the AOGCM models give meaningless output on that scale anyway.

So I do not think that ensemble outputs of climate models would perform better at any local scale than at the global scale.

Indefinite time scales, natural contributions, many adjustable parameters, uncertain response to CO2, averaging of model outputs, non linearity, chaos and the absence of successful predictions are all reasons to continue to challenge the present models.

Climate change was assessed by means of two Long Ashton Research Station - Weather Generator (LARS - WG) weather generators and all outputs from the available general circulation models in the Model for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local sModel for the Assessment of Greenhouse - gas Induced Climate Change - SCENario GENerator (MAGICC - SCENGEN) software, in combination with different emission scenarios at the regional scale, while the Providing Regional Climates for Impacts Studies (PRECIS) model has been used for projections at the local smodel has been used for projections at the local scale.

Fraedrich & Blender did find long - range persistence on century time scales, but only for fluctuations (not for temperature), and only in the output of computer model runs.

Update (May 2012): The scaling of the model output on the original graph was incorrect, and the graph has been replaced with a corrected version.

My error was in assuming that the model output (which were in units W yr / m2) were scaled for the ocean area only, when in fact they were scaled for the entire global surface area (see fig. 2 in Hansen et al, 2005).

Observations of the climate system and the output of models are a combination of a forced climate change signal and internally generated natural variability which, because it is random and unpredictable on long climate time - scales, is characterised as climate noise.