Sentences with phrase «from coarse resolution»

Global vegetation cover changes from coarse resolution satellite data.

Until we figure out how to do this on the weekly to seasonal time scales, trying to infer extreme events from coarse resolution climate models with insufficient number of ensemble members is like voodoo.

Contemporary changes in the distribution and species composition of Northwest Atlantic living marine resources are already evident, but existing projections are based on warming scenarios from coarse resolution models.

The climate change impacts community has long bemoaned the inadequate spatial scale of climate scenarios produced from coarse resolution GCM output (Gates, 1985; Lamb, 1987; Robinson and Finkelstein, 1989; Smith and Tirpak, 1989; Cohen, 1990).

Not exact matches

For much of the global ocean the coarser resolution is okay, but when you are studying a unique location like the Gulf of Maine, with its complex bathymetry of deep basins, channels, and shallow banks combined with its location near the intersection of two major ocean current systems, the output from the coarser models can be misleading.»

«Until the launch of the OCO - 2 satellite mission in 2014 we had global maps of SIF but at coarse spatial resolution, each pixel compromising areas of about 50 x 50 kilometres in the best case,» says Luis Guanter from GFZ.

But then the effective heat capacity, the surface temperature, depends on the rate of mixing of the ocean water and I have presented evidence from a number of different ways that models tend to be too diffusive because of numerical reasons and coarse resolution and wave parameter rise, motions in the ocean.

While RSNs from ICA have a voxel - level resolution, most whole - brain networks are typically much coarser and consist of only a few hundred nodes.

Model results don't depend critically on resolution — the climate sensitivity of the models is not a function of this in any obvious way, and the patterns of warming seen in coarse resolution models from the 1980s are very similar to those from AR4 or the upcoming AR5 (~ 50 times more horizontal grid points).

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.

Yoshiaki Miyamoto, Hirofumi Tomita and their colleagues from the RIKEN Advanced Institute for Computational Science reveal that in order to realistically simulate the critical features of cloud convection, models will ultimately need to be run at a grid resolution no coarser than 2 kilometers.

LOCA downscaling estimates finer - scale climate detail from a coarse - resolution global model using a new high - resolution historical observation dataset developed by researchers at the University of Colorado.

While regional climate downscaling yields higher spatial resolution, the downscaling is strongly dependent on the lateral boundary conditions and the methods used to constrain the regional climate model variables to the coarser spatial scale information from the parent global models.

A comparison to observations (gauge and radar data) shows that the high - resolution (3 km) model generates better rainfall distributions on time scales from monthly to hourly than the coarse - resolution (9 km) model, especially along the west slopes of the Sierra Madre Occidental.

The results from these models must still be treated with caution as they can not capture the full complexity of these structures, due in part to the coarse resolution in both the atmosphere and oceans of the majority of the models used (Chapter 8).

To estimate the uncertainty range (2σ) for mean tropical SST cooling, we consider the error contributions from (a) large - scale patterns in the ocean data temperature field, which hamper a direct comparison with a coarse - resolution model, and (b) the statistical error for each reconstructed paleo - temperature value.

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.

If the points are very far away from each other the model is said to have coarse resolution and the forecasts is only representative of very large areas, and may not be exactly the weather where you may be located.

The observed differences between their study and our assessment can further result from variations in the base data employed: Jongman et al. [73] used a finer resolution SRTM grid at 3 arc sec resolution but coarser resolution population density data at 5 arc min resolution and, as mentioned earlier, an older version of the UN's demographic data.

We know this from «downscaling» studies made by using high - resolution regional climate models to add local detail to larger - scale changes derived from coarser - resolution global models.

Reference solutions from multiple models define a range of uncertainty that is the target for coarser resolution simulations.

«The latest addition is a variable resolution UK model (UKV) which has a high resolution inner domain (1.5 km grid boxes) over the area of forecast interest, separated from a coarser grid (4 km) near the boundaries by a variable resolution transition zone.

Via CO2science.org Near the start of the current century, Holland (2001) wrote that with respect to contemporary state - of - the - art global climate models, «some physical processes are absent from the models,» while noting that in light of the coarse - resolution grids employed by the models, «some physical processes are ill resolved» and that others are actually «missing from...