Sentence examples for sample of climate from inspiring English sources

This paper addresses this gap by developing a framework to analyze the treatment of EbA in urban level climate planning, and apply it to a sample of climate adaptation plans in Europe.

The following quote from the paper sums up our feelings about the critique's treatment of our research: Tol's (2016) conflation of unrepresentative non-expert sub-samples and samples of climate experts is a misrepresentation of the results of previous studies, including those published by a number of coauthors of this paper.

The R package is illustrated with three examples: (1) subsampling of square and circular sampling plots commonly used in surveys of soil, vegetation, forest, etc.; (2) sampling of agricultural fields for soil testing; and (3) infill sampling of climate stations for mainland Australia and Tasmania.

After complaining about the relatively small sample sizes of climate experts in previous surveys, Bast and Spencer instead put their trust in two documents that mostly include non-climate experts.

Tabulating the number of presences in each condition may not reveal this deep structure, insofar as collection localities are not a random sample of suitable climate (see below).

But unless this group is willing to argue from this small (and questionable) sample to the general unreliability of climate science as a discipline, they have no alternative but to accept the consensus view of climate scientists that these e-mails do not undermine the core result of global warming.

The first was done by Naomi Oreskes and published in Science in 2004, finding that in a sample of 928 peer-reviewed climate research abstracts, none rejected human-caused global warming.

Schneider and colleagues [ 23], in a sample of bank branches, found that climate strength moderated the impact of branch service climate on customer perceptions of service quality.

In these exemplars, the allowance defends against the majority of sampled climate projections for the 2080s from the IPCC-AR4 GCM and UKCP09 RCM runs but it is still possible to identify a sub-set of regional scenarios that would exceed the 20% threshold.

We therefore decided to remove geographic coordinates since it was not possible, given our sampling design, to disentangle the effect of climate from the effect of geography.

This dissimilar result might be because of using different methods, sample size, climate factor, geology, soil type, dissolution of minerals from lithological composition, and addition of chemical fertilizers.