Sentence examples for data of atmospheric from inspiring English sources

Methods of eddy structure identification are applied to velocity data of atmospheric surface layer flows modeled in a boundary-layer wind tunnel.

For the adjustment, molecular weight data of atmospheric residues (673.15 K+) of 14 heavy crude oils (API ≤ 25.5) obtained from a steady state refining process simulator (PETROX) were used.

The reconstruction of the age of the water is based on the historic data of atmospheric CFC concentrations.

The daily observed predictor data of atmospheric variables was derived from the National Center of Environmental Prediction (NCEP) on 2.5° latitude × 2.5° longitude grid-scale for 41 years (1961 2001) from the website of Canadian Climate Impacts Scenarios (CCIS) (http://www.cics.uvic.ca/scenarios/sdsm/select.cgi).uvic.ca/scenarios/sdsm/select.cgi

The latter case was examined in this investigation by example of data on atmospheric deposition and physically related concentrations of heavy metals and nitrogen in mosses.

This study presents data on atmospheric deposition of OC; effect of AD-OC and land use on land surface runoff DOC; and the coupled effect of AD-OC and land derived DOC on the concentration of DOC in Ganga River.

Understanding the difference in trends between the surface temperature data sets and the satellite data sets of atmospheric temperature remains an outstanding challenge for scientists.

However, examination of the satellite data record of atmospheric temperatures, 2016 was only 0.02 degrees Celsius warmer than 1998 — a difference that is not statistically significant.

We report the first data set of atmospheric abundances for the following four perfluoroalkanes: n-decafluorobutane (n-C4F10), n-dodecafluoropentane (n-C5F12), n-tetradecafluorohexane (n-C6F14) and n-hexadecafluoroheptane (n-C7F16).

This paper introduces a new method to process wind profile data of simulated atmospheric boundary layer flows in the wind tunnel so as to obtain the two important wind profile parameters the surface roughness length z0 and the friction velocity u*.

One is 'Predictand' (rainfall) which are local data, and the other one is 'Predictors' NCEP and simulated GCM data), which are large-scale data of different atmospheric variables.