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Regional-scale meteorological characteristics of the Vento Norte phenomenon observed in Southern Brazil

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Abstract

The sudden increase in air temperature associated with strong gusty winds of northerly direction is a phenomenon occasionally observed during the cold season in the central region of Rio Grande do Sul (RS) state, located in extreme southern Brazil. This geophysical flow, which is known as Vento Norte (VNOR; Portuguese for “North Wind”), promotes temperature variations that depart significantly from the local cold-season climatology. In this study, eleven years of surface meteorological observations collected at seven weather stations distributed over central RS are employed to investigate the regional extension of the effects of the VNOR windstorm. The analysis revealed that the sharp increase in temperature and in wind magnitude caused by VNOR is observed over a rather wide region of central RS. However, it is in the vicinities of the city of Santa Maria, located just south of an abrupt drop in terrain elevation, that the most intense VNOR effects are observed suggesting a downslope enhancement of the windstorm. A detailed investigation of the meteorological data also showed that the duration of the VNOR windstorm is well correlated with the magnitude of the maximum wind gusts, with the most intense VNOR events also lasting longer. VNOR events occur more frequently in the period between the morning (0700 LST) and early afternoon (1400 LST). The onset of the windstorm is detected predominantly during overnight and morning hours, with 70% of VNOR cases initiating between 0000 and 1000 LST. Regarding the VNOR demise, 66% of the windstorms dissipate between early afternoon and early evening hours (1200–1900 LST). Results from this study are applicable in the areas of atmospheric diffusion and local weather forecasting.

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Notes

  1. For this study, the winter months were considered (1M, 2M e 3M).

References

  1. Anabor V, Acevedo OC, Moraes OLL (2005) Circulações termicamente induzidas na depressão central do rio grande do sul. parte i: intensificação noturna do vento norte. Ciencia Natura esp.(1):391–395 (2005)

  2. Anderson TW, Darling DA (1954) A test of goodness of fit. J Am Stat Assoc 49(268):765–769

    Article  Google Scholar 

  3. Arbage MCA, Degrazia GA, Welter GS, Roberti DR, Acevedo OC, de Moraes OLL, Ferraz ST, Timm AU, Moreira VS (2008) Turbulent statistical characteristics associated to the north wind phenomenon in southern brazil with application to turbulent diffusion. Physica A 387(16):4376–4386

    Article  Google Scholar 

  4. Brinkmann W (1971) What is a foehn? Weather 26(6):230–240

    Article  Google Scholar 

  5. Cao Y, Fovell RG (2018) Downslope windstorms of san diego county. part ii: physics ensemble analyses and gust forecasting. Weather Forec 33(2):539–559

    Article  Google Scholar 

  6. Charrondiere C, Brun C, Sicart JE, Cohard JM, Biron R, Blein S (2020) Buoyancy effects in the turbulence kinetic energy budget and reynolds stress budget for a katabatic jet over a steep alpine slope. Bound-Layer Meteorol 177(1):97–122

    Article  Google Scholar 

  7. Chow FK, De Wekker SF, Snyder BJ (2013) Mountain weather research and forecasting: recent progress and current challenges, vol 750. Springer

  8. Davis FK, Newstein H (1968) The variation of gust factors with mean wind speed and with height. J Appl Meteorol Climatol 7(3):372–378

    Article  Google Scholar 

  9. Elvidge AD, Renfrew IA (2016) The causes of foehn warming in the lee of mountains. Bull Am Meteor Soc 97(3):455–466

    Article  Google Scholar 

  10. Garratt JR (1994) The atmospheric boundary layer. Earth Sci Rev 37(1–2):89–134

    Article  Google Scholar 

  11. Grachev AA, Leo LS, Di Sabatino S, Fernando HJ, Pardyjak ER, Fairall CW (2016) Structure of turbulence in katabatic flows below and above the wind-speed maximum. Bound-Layer Meteorol 159(3):469–494

    Article  Google Scholar 

  12. Grimm AM (2016) Clima da região sul do brasil. In: Cavalcanti IFDA (ed) Tempo e clima no Brasil. Oficina de textos, pp 259–275

  13. Heldwein AB, Streck NA, Buriol GA, Sandri MA, Trentin G, Spohr RB, Silva J, Alberto CM, Faria N (2003) Freqüência de ocorrência de ventos fortes em santa maria, rs. Revista Brasileira de Agrometeorologia 11(2):285–291

    Google Scholar 

  14. Liu YC, Di P, Chen SH, Chen X, Fan J, DaMassa J, Avise J (2020) Climatology of diablo winds in Northern California and their relationships with large-scale climate variabilities. Clim Dyn 1–22

  15. Mass CF, Ovens D (2019) The northern california wildfires of 8–9 october 2017: the role of a major downslope wind event. Bull Am Meteor Soc 100(2):235–256

    Article  Google Scholar 

  16. Math FA (1934) Battle of the chinook wind at havre, mont. Mon Weather Rev 62(2):54–57

    Article  Google Scholar 

  17. Nascimento EL, Chamis ML (2012) Atmospheric conditions associated with the windstorm ”vento norte”. In: Croatian-USA workshop on mesometeorology

  18. Norte FA (2015) Understanding and forecasting zonda wind (andean foehn) in argentina: a review

  19. Paulsen BM, Schroeder JL (2004) An examination of tropical and extratropical gust factors and the associated wind speed histograms. J Appl Meteorol 44(2):270–280

    Article  Google Scholar 

  20. Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the köppen-geiger climate classification. Hydrol Earth Syst Sci 11(5):1633–1644

    Article  Google Scholar 

  21. Raphael M (2003) The santa ana winds of california. Earth Interact 7(8):1–13

    Article  Google Scholar 

  22. da Rosa CE, Stefanello M, de Lima Nascimento E, Rossi FD, Roberti DR, Degrazia GA (2021) Meteorological observations of the vento norte phenomenon in the central region of rio grande do sul. Revista Brasileira de Meteorologia, pp 1–10

  23. da Rosa CE, Stefanello M, Maldaner S, Facco DS, Roberti DR, Tirabassi T, Degrazia GA (2021) Employing spectral analysis to obtain dispersion parameters in an atmospheric environment driven by a mesoscale downslope windstorm. Int J Environ Res Public Health 18(24). https://doi.org/10.3390/ijerph182413027. https://www.mdpi.com/1660-4601/18/24/13027

  24. Sartori MGB (2003) Gênese e características do vento norte regional em santa maria/rs. In: Simpósio brasileiro de geografia física e aplicada, v. 10

  25. Sartori MGB (2016) O Vento Norte. DR Publicidade Editora, ISBN: 978-85-66301-69-4

  26. Smith C, Hatchett BJ, Kaplan M (2018) A surface observation based climatology of diablo-like winds in california’s wine country and western sierra nevada. Fire 1(2):25

  27. Stefanello M, de Lima Nascimento E, da Rosa CE, Degrazia G, Mortarini L, Cava D (2020) A micrometeorological analysis of the vento norte phenomenon in southern brazil. Boundary-Layer Meteorology, pp 1–25

  28. Stull RB (1988) An introduction to boundary layer meteorology, vol 13. Springer Science & Business Media

  29. Wilcoxon F (1947) Probability tables for individual comparisons by ranking methods. Biometrics 3(3):119–122

    Article  Google Scholar 

  30. Wilcoxon F (1992) Individual comparisons by ranking methods. In: Breakthroughs in statistics. Springer, pp 196–202

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Acknowledgements

This work was carried the Coordination for the Improvement of Higher Education Personnel—Brazil (CAPES)—Financing Code 001.

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Correspondence to Cinara Ewerling da Rosa.

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da Rosa, C.E., Stefanello, M., Facco, D.S. et al. Regional-scale meteorological characteristics of the Vento Norte phenomenon observed in Southern Brazil. Environ Fluid Mech 22, 819–837 (2022). https://doi.org/10.1007/s10652-022-09855-4

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