Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11765/13808
Small scale variability of water vapor in the atmosphere: implications for inter-comparison of data from different measuring systems
| Title: | Small scale variability of water vapor in the atmosphere: implications for inter-comparison of data from different measuring systems |
| Authors: | Calbet, Xavier
; Carbajal-Henken, Cintia; DeSouza-Machado, Sergio; Sun, Bomin; Reale, Anthony |
| Keywords: | Water vapor; Satellite instruments; Radiosonde; Gaussian Random Fields; Forecasting |
| Issue Date: | 2022 |
| Publisher: | European Geosciences Union; Copernicus Publications |
| Citation: | Atmospheric Measurement Techniques Discussions. 2022, p. 1-24 |
| Publisher version: | https://doi.org/10.5194/amt-2022-111 |
| Abstract: | Water vapor concentration structures in the atmosphere are well approximated by Gaussian Random Fields at small scales 6 km. These Gaussian Random Fields have a spatial correlation in accordance with a structure function with a two-thirds slope, following the corresponding law from Kolmogorov's theory of turbulence. This is proven by showing that the structure function measured by several satellite instruments and radiosonde measurements do indeed follow the two-thirds law. High spatial resolution retrievals of Total Column Water Vapor (TCWV) obtained from the Ocean and Land Color Instrument (OLCI) on board of the Sentinel-3 series of satellites qualitatively also show a Gaussian Random Field structure. |
| URI: | http://hdl.handle.net/20.500.11765/13808 |
| ISSN: | 1867-8610 |
| Appears in Collections: | Artículos científicos 2019-2022 |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | AMT_2022_Calbet.pdf | 15,92 MB | Adobe PDF |  View/Open |
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