2011
DOI: 10.1134/s0001433811090118
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Method for determining atmospheric motion characteristics using measurements on geostationary meteorological satellites

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Cited by 15 publications
(8 citation statements)
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“…To validate the values determined by satellite data, the results of [7] were used, in which an analytical description of the coefficient of relative turbulent diffusion was obtained on the basis of empirical expressions for the structural functions of wind speed in the upper troposphere. It was shown that in the range of scales of 20-150 km, the calculated average K ed values are in better agreement with the theoretical Golitsyn curve, and for large scales, with the Richardson -Obukhov curve [4].…”
Section: A Brief Description Of the Methodsmentioning
confidence: 63%
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“…To validate the values determined by satellite data, the results of [7] were used, in which an analytical description of the coefficient of relative turbulent diffusion was obtained on the basis of empirical expressions for the structural functions of wind speed in the upper troposphere. It was shown that in the range of scales of 20-150 km, the calculated average K ed values are in better agreement with the theoretical Golitsyn curve, and for large scales, with the Richardson -Obukhov curve [4].…”
Section: A Brief Description Of the Methodsmentioning
confidence: 63%
“…The essence of the method described in detail in [4] is to use the inhomogeneities in concentration of water vapor as a conservative impurity as a tracer and to use correlation-extreme algorithms. The results of measurements of the SEVIRI radiometer of the second generation European geostationary meteorological satellites for the period 2007-2018 in the water vapor channel 6.2 microns with high temporal (15 min) and spatial (3-6 km) resolution are used as initial information.…”
Section: A Brief Description Of the Methodsmentioning
confidence: 99%
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“…Conceptually close, but significantly different in the implementation is the approach (Nerushev and Kramchaninova, 2011) designed for the data of the Earth monitoring in the visible and infrared range from geostationary satellites. A known alternative to the authors' approach to interpret the data from polar-orbiting satellites as dynamic fields (Wimmers and Velden, 2011), advanced to the level of operational technology, has some fundamental differences that, in particular, may be source to some errors, as briefly discussed in the paper.…”
Section: Introductionmentioning
confidence: 99%