Sentences with phrase «spatial samples as»

Yet these apply to spatial samples as well, with frequency represented as essentially wavenumbers.

Values for ERA - Interim are shown both with complete spatial sampling and with the same incomplete spatial sampling as HadISDH.

Values for ERA - Interim are also shown with the same spatial sampling as HadISDH.

Not exact matches

So as the tip is passed across the sample surface, it creates a spatial image of the electron density and, separately, of the crystal lattice.

A convenience sample of 54 patients with severe brain injury, including 23 in a vegetative state and 31 in a minimally conscious state, underwent functional MRI as a means of evaluating their performance on motor and spatial imagery tasks.

When compared to the total sample of LIRG CCSNe discovered in the near - IR and optical, we show that our method is singularly effective in uncovering CCSNe in nuclear regions and we conclude that the majority of CCSNe exploding in LIRGs are not detected as a result of dust obscuration and poor spatial resolution.

Analysis is typically performed on samples with the target area of up to 10 mm x 10 mm at 60μm spatial resolution (or larger if analyzing larger samples, as discussed with customer).

Such samples, commonly referred to as FFPE, preserve the integrity of the tissue architecture of the original tumor, allowing the researchers to study the spatial differences in protein expression.

However, other 19th Century temperature compilations such Berkeley Earth show larger responses to Tambora — though there are spatial sampling issues there as well.

As for spatial sampling, it is clear that you would ideally want as even a spread as possible, but any method you would actually want to use has to be able to deal with the certain heterogeneitAs for spatial sampling, it is clear that you would ideally want as even a spread as possible, but any method you would actually want to use has to be able to deal with the certain heterogeneitas even a spread as possible, but any method you would actually want to use has to be able to deal with the certain heterogeneitas possible, but any method you would actually want to use has to be able to deal with the certain heterogeneity.

They include lack of adequate spatial sampling to leave instrumental noise as the major term, transcription errors which may be avoided with modern automation and inhomogeneities which dedicated climatological networks in some parts of the world have made strides in overcoming.

Basically, as I understand from Hansen et al 2010, it is spatial sampling error.

While these methods are heavily used, there are concerns regarding the distributions of available measurements, how well these sample the globe, and such issues as the degree to which the methods have spatial and seasonal biases or apparent divergence in the relationship with recent climate change.

Although teleconnections are best defined over a grid, simple indices based on a few key station locations remain attractive as the series can often be carried back in time long before complete gridded fields were available (see Section 3.6.4, Figure 3.31); the disadvantage is increased noise from the reduced spatial sampling.

And as for the spatial sampling which I tongue in cheek mentioned as the 1200 km sufficiency; that fails by orders of magnitude to satisfy the requirements.

«Uncertainty in any TOA radiative flux dataset results from a combination of factors including calibration, spectral sampling, angular sampling, spatial sampling, and temporal sampling, as well as algorithm changes.»

It does not mean that the output of their method has the same spatial and temporal sampling frame as the CRU / EIV series.

I agree there are other possibilities, but if we believe that adjustments are relatively unimportant (Nick's work seems pretty persuasive here as independent validation of BESTs work), to me the most plausible candidate is spatial sampling effects (note this is really tempo - spatial, since there could be differences in the amount of annual data used at the same site between the series).

As presented, the data has been processed and expressed in a user - friendly geo - spatial graphic showing the ice - out dates for a sampling of lakes of a given year.

As we have shown in Rahmstorf et al. (2012), much or most of the decadal variations in the rate of sea - level rise in tide gauge data are probably not real changes at all, but simply an artefact of inadequate spatial sampling of the tide gauges.

Sample resumes for this position include such tasks as developing customized solutions to improve the productivity and capabilities of GIS analysis teams, translating business logic into functioning programs that efficiently and reliably turn inputs into outputs necessary for critical organization functions, and producing automated solutions for time - consuming and error - prone tasks ranging from the mass production of mapping products to spatial data management.