2017
DOI: 10.15406/mojes.2017.02.00046
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Developing Weather Forecasting System in Georgia

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Cited by 5 publications
(6 citation statements)
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“…(4) This dependence theoretically confirms the regional problem noticed and recognized in synoptic practice, namely, that atmospheric processes in the Trans Caucasus mainly spread in parallel directions along mountain ridges (Khvedelidze, 2018;Tatishvili, 2017;Tatishvili et al, 2022).…”
Section: Methodssupporting
confidence: 68%
“…(4) This dependence theoretically confirms the regional problem noticed and recognized in synoptic practice, namely, that atmospheric processes in the Trans Caucasus mainly spread in parallel directions along mountain ridges (Khvedelidze, 2018;Tatishvili, 2017;Tatishvili et al, 2022).…”
Section: Methodssupporting
confidence: 68%
“…Due to complex orographic conditions and influence of the black Sea in Georgia exist most of Earths climatic types, from marine wet subtropical climate in west Georgia and steppe continental climate in east Georgia up to eternal snow and glaciers in high mountain zone of Great Caucasus, and also approximately 40% bilateral and unilateral interaction of solutions from different grids. Based on atmospheric processes nonstationary mesoscale model [1] for Georgian territory the peculiarities of mesoscale flows in troposphere under conditions when undisturbed background flow undergo significant transformations and atmospheric circulation regime has been changed by another one. Many efforts and methods have been dedicated to the problem of precipitation formation and convective cloud evolution processes for Georgian conditions.…”
Section: Short Communicationmentioning
confidence: 99%
“…When I subjected the time series to 5year moving window Gaussian kernel smoothing (Lorczak), the smoothed curve displayed 36 extrema (maxima and minima). I related the dates of these NAO extrema to the respective sunspot cycles normalized to 11 years [14,15,16]. An analysis of the normalized positions of the extrema within the 11-year cycle showed that just the points a, d, a/d, and d/a, which play a major role in the relationship with ENSO events, show a close connection with NAO extrema when the data are shifted to offset a 1.5-year lag of the NAO maxima and minima.…”
Section: Discussionmentioning
confidence: 99%
“…The winds in the eastward phase of the QBO are approximately twice as strong as those in the westward phase. The signal of the QBO cycle was detected not only in the variability of the stratospheric zonal and meridional wind, temperature, and geopotential height [15,16], but also in its influence on the surface meteorological parameters as well, for example, air temperature [17,18], precipitation [19][20][21][22], and snow cover [23,24]. In previous studies, the significant QBO signal was detected in September and October precipitation in the period from1953 to the 1980s in the region of the British Isles, in the Central European region and in Belarus.…”
Section: Introductionmentioning
confidence: 95%