Object

Title: Factors inhibiting convection under conditions of extreme atmospheric instability

Creator:

Palarz, Angelika ; Celiński-Mysław, Daniel

Date issued/created:

2017

Resource Type:

Article

Subtitle:

Geographia Polonica Vol. 90 No. 1 (2017)

Publisher:

IGiPZ PAN

Place of publishing:

Warszawa

Description:

24 cm

Degree grantor:

convection inhibition ; atmospheric instability indices ; Poland ; upper air sounding

Abstract:

The paper identifies mechanisms that potentially inhibit convection at a time when extreme values of selected atmospheric instability indices are recorded. The study involved six indices (LI, SI, CAPE, KI, SWEAT, TTI). Data sources involved records from three Polish data stations collecting upper air soundings and covered the period 2005-2014. Additional data were obtained from SYNOP codes on present and past weather and reports on severe meteorological phenomena from the European Severe Weather Database. The methodology adopted allowed the selection of 26 cases where no convective phenomena were observed despite extreme atmospheric instability. A detailed analysis demonstrated that the occurrence of isothermal or inversion layers in the lower and middle troposphere were the most frequent mechanisms inhibiting the vertical air movement. Convection was also inhibited when the area was free from the influence of atmospheric fronts, convergence zones, lowpressure troughs or when high altitudes of LCL occurred.

References:

1. Bentley M.L., Mote T.L., 2000. A synoptic climatology of cool-season derecho events. Physical Geography, vol. 21, no. 1, pp. 21-37. ; 2. Blanchard D.O., 1998. Assessing the vertical distribution of Convective Available Potential Energy. Weather and Forecasting, vol. 13, no. 3, pp. 870-877. ; - ; 3. Brooks H.E., 2009. Proximity soundings for severe convection for Europe and the United States from reanalysis data. Atmospheric Research, vol. 93, no. 1-3, pp. 546-553. ; - ; 4. Brooks H.E., Anderson A.R., Riemann K., Ebbers I., Flachs H., 2007. Climatological aspects of convective parameters from the NCAR/NCEP reanalysis. Atmospheric Research, vol. 83, no. 2, pp. 294-305. ; - ; 5. Brooks H.E., Lee J.W., Craven J.P., 2003. The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. Atmospheric Research, vol. 67-68, pp. 73-94. ; - ; 6. Burke P.C., Schultz D.M., 2004. A 4-yr climatology of cold-season bow echoes over the continental United States. Weather and Forecasting, vol. 19, no. 6, pp. 1061-1073. ; - ; 7. Chaboureau J.-P., Guichard F., Redelsperger J.-L., Lafore J.-P., 2004. The role of stability and moisture in the diurnal cycle of convection over land. Quarterly Journal of the Royal Meteorological Society, vol. 130, no. 604, pp. 3105-3117. ; - ; 8. Davies J.M., 2004. Estimations of CIN and LFC associated with tornadic and nontornadic supercells. Weather and Forecasting, vol. 19, no. 4, pp. 714-726. ; - ; 9. Derbyshire S.H., Beau I., Bechtold P., Grandpeix J.P., Piriou J.M., Redelspreger J.L., Soares P.M. M., 2004. Sensitivity of moist convection to environmental humidity. Quarterly Journal of the Royal Meteorological Society, vol 130, pp. 3055–3080. ; - ; 10. Derubertis D., 2006. Recent trends in four common stability indices derived from U.S. radiosonde observations. Journal of Climate, vol. 19, no. 3, pp. 309-323. ; - ; 11. Galway J.G., 1956. The lifted index as a predictor of latent instability. Bulletin of the American Meteorological Society, vol. 37, pp. 528-529. ; 12. George J.J., 1960. Weather forecasting for aeronautics. New York-London: Academic Press. ; 13. Gubenko I.M., Rubinshtein K.G., 2015. Analysis of the results of thunderstorm forecasting based on atmospheric instability indices using the WRFARW numerical model data. Russian Meteorology and Hydrology, vol. 40, no. 1, pp. 16-24. ; - ; 14. Hand W.H., Cappelutti G., 2011. A global hail climatology using the UK Met Office convection diagnosis procedure (CDP) and model analyses. Meteorological Applications, vol. 18, no. 4, pp. 446-458. ; - ; 15. Khodayar S., Kalthoff N., Wickert J., Cormeier U., Morcrette C.J., Kottmeier C., 2010. The increase of spatial data resolution for the detection of the initiation of convection. A case study from CSIP. Meteorologische Zeitschrift, vol. 19, no. 2, pp. 179-198. ; - ; 16. Miller R.C., 1972. Notes on analysis and severestorm forecasting procedures of the Air Force Global Weather Central. Scott Air Force Base, IL. ; 17. Moncrieff M.W., Miller M.J., 1976. The dynamics and simulation of tropical cumulonimbus and squall-lines. Quarterly Journal of the Royal Meteorological Society, vol. 102, no. 432, pp. 373-394. ; - ; 18. Palencia C., Giaiotti D., Stel F., Castro A., Fraile R., 2010. Maximum hailstone size: Relationship with meteorological variables. Atmospheric Research, vol. 96, no. 2-3, pp. 256-265. ; - ; 19. Riemann-Campe K., Fraedrich K., Lunkeit F., 2009. Global climatology of Convective Available Potential Energy (CAPE) and Convective Inhibition (CIN) in ERA-40 reanalysis. Atmospheric Research, vol. 93, no. 1-3, pp. 534-545. ; - ; 20. Romero R., Gaya M., Doswell C.A., 2007. European climatology of severe convective storm environmental parameters: A test for significant tornado events. Atmospheric Research, vol. 83, no. 2-4, pp. 389-404. ; - ; 21. Sanchez J.L., Marcos J.L., Dessens J., Lopez L., Bustos C., Garcia-Ortega E., 2009. Assessing sounding-derived parameters as storm predictors in different latitudes. Atmospheric Research, vol. 93, no. 1-3, pp. 446-456. ; - ; 22. Sherburn K.D., Parker M.D., 2014. Climatology and ingredients of significant severe convection in High-Shear, Low-CAPE environments. Weather and Forecasting, vol. 29, no. 4, pp. 854-877. ; - ; 23. Showalter A.K., 1953. A stability index for thunderstorm forecasting. Bulletin of the American Meteorological Society, vol. 34, no. 6, pp. 250-252. ; 24. Siedlecki M., 2009. Selected instability indices in Europe. Theoretical and Applied Climatology, vol. 96, no. 1-2, pp. 85-94. ; - ; 25. Stirling A.J., Petch J.C., 2004. The impacts of spatial variability on the development of convection. Quarterly Journal of the Royal Meteorological Society, vol. 130, pp. 3189–3206. ; - ; 26. Van Den Broeke M.S., Schultz D.M., Johns R.H., Evans J.S., Hales J.E., 2005. Cloud-to-ground lighting production in strongly forced, low instability convective lines associated with damaging wind. Weather and Forecasting, vol. 20, no. 4, pp. 517-530. ; - ; 27. Venkat Ratnam M., Durga Santhi Y., Rajeevan M., Vijaya Bhaskara Rao S., 2013. Diurnal variability of stability indices observed using radiosonde observations over a tropical station: Comparison with microwave radiometer measurements. Atmospheric Research, vol. 124, no. 4, pp. 21-33. ; - ; 28. Wong S., Dessler A.E., 2005. Suppression of deep convection over the tropical North Atlantic by the Saharian Air Layer. Geophysical Research Letters, vol. 32, no. 9, pp. 1-4. ; -

Relation:

Geographia Polonica

Volume:

90

Issue:

1

Start page:

39

End page:

51

Format:

File size 4,1 MB ; application/pdf

Resource Identifier:

oai:rcin.org.pl:61909 ; oai:rcin.org.pl:61909 ; 0016-7282 ; 10.7163/GPol.0077

Source:

CBGiOS. IGiPZ PAN, call nos.: Cz.2085, Cz.2173, Cz.2406 ; click here to follow the link

Language:

eng

Rights:

Creative Commons Attribution BY-SA 3.0 PL license

Terms of use:

Copyright-protected material. [CC BY-SA 3.0 PL] May be used within the scope specified in Creative Commons Attribution BY-SA 3.0 PL license, full text available at: ; -

Digitizing institution:

Institute of Geography and Spatial Organization of the Polish Academy of Sciences

Original in:

Central Library of Geography and Environmental Protection. Institute of Geography and Spatial Organization PAS

Projects co-financed by:

European Union. European Regional Development Fund ; Programme Innovative Economy, 2010-2014, Priority Axis 2. R&D infrastructure

×

Citation

Citation style:

This page uses 'cookies'. More information