Determination of Atmospheric Turbulence Type from Operational Meteorological Measurements

{"title":"Determination of Atmospheric Turbulence Type from Operational Meteorological Measurements","authors":"V. V. Nosov,&nbsp;V. P. Lukin,&nbsp;E. V. Nosov,&nbsp;A. V. Torgaev","doi":"10.1134/S1024856024700829","DOIUrl":null,"url":null,"abstract":"<p><b>Abstract</b>—To determinate the atmospheric turbulence type (Kolmogorov, coherent, etc.) in operational mode, a new technique has been developed based on an algorithm for spectral analysis of sequential overlapping samples from a continuously replenished population of meteorological measurements. The samples are generated by the sliding time window method. A turbulence type criterion is the slope of the inertial interval of the spectrum of temperature fluctuations near the maximum, which is equal to −5/3 under Kolmogorov turbulence and −8/3 under coherent turbulence. The slope is calculated from the linear regression equation at the initial part of the spectrum, the length of which is specified by the decrease by one order of magnitude from the maximum. It is shown that these slopes are lognormally distributed for the recorded meteosituations under urban conditions. It is found that the proportion of non-Kolmogorov turbulence in more than 5 million calculated spectra is much larger than expected and amounts to 75–97% depending on the estimation rigor. It is shown that sequences of spectra with the same slope correspond to regions of turbulence of the same type. Boundaries of the regions are defined with accuracy of the sliding window shift step; the size of the regions is estimated based on data on the wind speed and recording time. It is shown that the extent of the regions can significantly exceed the length of a region for an ordinary sample under comparable conditions. To accelerate the post processing of large datasets, the algorithm uses the message passing interface (MPI) for a computing cluster with an arbitrary number of nodes. The field of application of the suggested technique in astronomical practice is the estimation and registration of the sizes of spatial regions of strong and weak turbulence, where the turbulence intensity is within fixed ranges, along an optical path, as well as the sizes of regions with fixed temperature stratification.</p>","PeriodicalId":46751,"journal":{"name":"Atmospheric and Oceanic Optics","volume":"37 5","pages":"605 - 613"},"PeriodicalIF":0.9000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric and Oceanic Optics","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1024856024700829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"OPTICS","Score":null,"Total":0}