Recent trends and variabilities of convective parameters relevant for hail events in Germany and Europe

Atmospheric Research

Volumn 123, Issue , 2013, Pages 211-228

  Mohr, S ^a   Kunz, M ^a  

^a KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

Author keywords

Climate change; Convective parameters; Data homogeneity; Hail; Thunderstorms; Trend analysis

Indexed keywords

ANNUAL DISTRIBUTIONS; CONVECTIVE INDEX; CONVECTIVE PARAMETERS; DATA HOMOGENEITY; DEW POINTS; HAIL DAMAGE; INITIAL PARAMETER; INSURANCE COMPANIES; MONITORING SYSTEM; NEAR-SURFACE LAYERS; OBSERVATION SYSTEMS; RECENT TRENDS; SPATIAL DIFFERENCES; TREND ANALYSIS;

CLIMATE CHANGE; INSURANCE; MOISTURE; THUNDERSTORMS;

PRECIPITATION (METEOROLOGY);

CLIMATE CHANGE; CLIMATE PREDICTION; CONVECTIVE SYSTEM; HAIL; SPATIAL DISTRIBUTION; THUNDERSTORM; TREND ANALYSIS;

EUROPE; GERMANY;

EID: 84874349258     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2012.05.016     Document Type: Article

References (57)

1. Andersson T., Andersson M., Jacobsson C., Nilsson S. Thermodynamic indices for forecasting thunderstorms in southern Sweden. Meteorol. Mag. 1989, 116:141-146.
2. Atkins N., Wakimoto R. Wet microburst activity over the southeastern United States: implications for forecasting. Weather Forecast. 1991, 6(4):470-482.
3. Barlow W. A new index for the prediction of deep convection. 17th Conf. on Severe Local Storms, St. Louis, MO 1993, 129-132. Preprints, Amer. Meteor. Soc.
4. Barthlott C., Burton R., Kirshbaum D., Hanley K., Richard E., Chaboureau J.P., Trentmann J., Kern B., Bauer H.S., Schwitalla T., et al. Initiation of deep convection at marginal instability in an ensemble of mesoscale models: a case-study from COPS. Q. J. R. Meteorol. Soc. 2011, 137:118-136.
5. Bayazit M., Onoz B. To prewhiten or not to prewhiten in trend analysis?. Hydrol. Sci. J. 2007, 52(4):611.
6. Bedka K.M. Overshooting cloud top detections using MSG SEVIRI Infrared brightness temperatures and their relationship to severe weather over Europe. Atmos. Res. 2011, 99:175-189.
7. Berthet C., Dessens J., Sanchez J.L. Regional and yearly variations of hail frequency and intensity in France. Atmos. Res. 2011, 100(4):391-400.
8. Brooks H.E., Lee J.W., Craven J.P. The spatial distribution of severe thunderstorm and tornado environments from global reanalysis data. Atmos. Res. 2003, 67:73-94.
9. Cao Z. Severe hail frequency over Ontario, Canada: recent trend and variability. Geophys. Res. Lett. 2008, 35(14):L14803.
10. Charba J.P. Operational system for predicting thunderstorms two to six hours in advance. NOAA. NWS TDL-64 1977, Techniques Development Laboratory, National Weather Service, Silver Spring, MD.
11. Craven J.P., Brooks H.E. Baseline climatology of sounding derived parameters associated with deep, moist convection. Natl. Weather Dig. 2004, 28:13-24.
12. Damian, T., 2011. Blitzdichte im Zusammenhang mit Hagelereignissen in Deutschland und Baden-Württemberg. Seminar thesis at the Institute for Meteorology and Climate Research (IMK), Karlsruhe Institute of Technology (KIT), Germany.
13. DeRubertis D. Recent trends in four common stability indices derived from US radiosonde observations. J. Climate 2006, 19:309.
14. Doswell C.A., Rasmussen E.N. The effect of neglecting the virtual temperature correction on CAPE calculations. Weather Forecast. 1994, 9:619-623.
15. Doswell C.A., Schultz D.M. On the use of indices and parameters in forecasting severe storms. Electron. J. Severe Storms Meteor. 2006, 1(3).
16. Doswell C.A., Davies-Jones R., Keller D.L. On summary measures of skill in rare event forecasting based on contingency tables. Weather Forecast. 1990, 5(4):576-585.
17. Durre I., Vose R.S., Wuertz D.B. Overview of the integrated global radiosonde archive. J. Climate 2006, 1151(19):53-68.
18. Elliott W.P., Gaffen D.J. On the utility of radiosonde humidity archives for climate studies. Bull. Am. Meteor. Soc. 1991, 72:1507-1520.
19. Elliott W., Gaffen D., Kahl J., Angell J. The effect of moisture on layer thicknesses used to monitor global temperatures. J. Climate 1994, 7(2):304-308.
20. Emanuel K. Atmospheric Convection 1994, Oxford University Press, USA.
21. Gaffen D.J. Historical changes in radiosonde instruments and practices: final report. WMO Instruments and Observing Methods Report No. 50, WMO/TD No. 541 1993, World Meteorological Organization, Geneva, Italy.
22. Gaffen D.J., Sargent M.A., Habermann R.E., Lanzante J.R. Sensitivity of tropospheric and stratospheric temperature trends to radiosonde data quality. J. Climate 2000, 13(10):1776-1796.
23. Galway J.G. The lifted index as a predictor of latent instability. Bull. Am. Meteor. Soc. 1956, 37:528-529.
24. Gensini V. Regional variablity of CAPE and deep shear from reanalysis. 24th Conference on Severe Local Storms, 27-31 October 2008, Savannah, United States 2008.
25. George J.J. Weather Forecasting for Aeronautics 1960, Academic Press, New York, USA.
26. Haklander A.J., van Delden A. Thunderstorm predictors and their forecast skill for the Netherlands. Atmos. Res. 2003, 67-68:273-299.
27. Hanssen A.W., Kuipers W.J.A. On the relationship between the frequency of rain and various meteorological parameters. Meded. Verhand. 1965, 81:2-15.
28. Haurwitz B. Dynamic Meteorology 1941, McGraw-Hill Book Company, Ney York, USA.
29. Heidke P. Berechnung des Erfolges und der Güte der Windstärkenvorhersage im Sturmwarnungsdienst. Geogr. Ann. 1926, 8:310-349.
30. Held I.M., Soden B.J. Robust responses of the hydrological cycle to global warming. J. Climate 2006, 19:5686-5699.
31. Huntrieser H., Schiesser H.H., Schmid W., Waldvogl A. Comparison of traditional and newly developed thunderstorm indices for Switzerland. Weather Forecast. 1997, 12:108-125.
32. IPCC Climate Change 2007: the physical science basis, contribution of working group I to the fourth assessment. Report of the Intergovernmental Panel on Climate Change 2007, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor, H.L. Miller (Eds.).
33. Kaltenböck R., Diendorfer G., Dotzek N. Evaluation of thunderstorm indices from ECMWF analyses, lightning data and severe storm reports. Atmos. Res. 2009, 93(1-3):381-396.
34. Kapsch, M. L., Kunz, M., Vitolo, R., Economou, T., Submitted for publication. Long-term variability of hail-related weather types in an ensemble of regional climate models. Submitted for publication to J. Geophys. Res.
35. Kendall M.G., Gibbons J.D. Rank correlation methods 1955, Charles Griffin, London, United Kingdom.
36. Kunz M. The skill of convective parameters and indices to predict isolated and severe thunderstorms. Nat. Hazards Earth Syst. Sci. 2007, 7:327-342.
37. Kunz M., Puskeiler M. High-resolution assessment of the hail hazard over complex terrain from radar and insurance data. Meteor. Z. 2010, 19(5):427-439.
38. Kunz M., Sander J., Kottmeier C. Recent trends of thunderstorm and hailstorm frequency and their relation to atmospheric characteristics in southwest Germany. Int. J. Climatol. 2009, 29(15):2283-2297.
39. Mann H.B. Nonparametric tests against trend. Econometrica 1945, 13(3):245-259.
40. Manzato A. A climatology of instability indices derived from Friuli Venezia Giulia soundings, using three different methods. Atmos. Res. 2003, 67:417-454.
41. März, R., Apr. 2010. personal communication. DWD.
42. Miller R.C. Notes on analysis and severe storm forecasting procedures of the air force global weather central. Air Weather Service, AWS/XTX, Scott Air Force Base, IL 62225-5438 1972.
43. Miloshevich L.M., Vömel H., Whiteman D.N., Leblanc T. Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements. J. Geophys. Res. 2009, 114.
44. Mohr S., Kunz M. Trend analysis of meteorological parameter relevant to hail from soundings and reanalysis data. 6th European Conference on Severe Storms (ECSS 2011), 3-7 October 2011, Palma de Mallorca, Balearic Islands, Spain 2011.
45. Moncrieff M.W., Miller M.J. The dynamics and simulation of tropical cumulonimbus and squall lines. Q. J. R. Meteorol. Soc. 1976, 102:373-394.
46. Pineda N., Aran M. Convective instability indices as thunderstorm predictors for catalonia. 6th European Conference on Severe Storms (ECSS 2011), 3-7 October 2011, Palma de Mallorca, Balearic Islands, Spain 2011.
47. Sánchez J.L., López L., Bustos C., Marcos J.L., García-Ortega E. Short-term forecast of thunderstorms in Argentina. Atmos. Res. 2008, 88(1):36-45.
48. Schiesser H.H. Hagel. Extremereignisse und Klimaänderung. Organe consultatif sur les changements climatiques (OcCC), Bern, Swiss 2003, 65-68.
49. Schuster S.S., Blong R.J., Speer M.S. A hail climatology of the greater Sydney area and New South Wales, Australia. Int. J. Climatol. 2005, 25(12).
50. Sen P.K. Estimates of the regression coefficient based on Kendall's tau. J. Am. Stat. Assoc. 1968, 63(324):1379-1389.
51. Showalter A.K. A stability index for thunderstorm forecasting. Bull. Am. Meteor. Soc. 1953, 34:250-252.
52. Steinbrecht W., Claude H., Schönenborn F., Leiterer U., Dier H., Lanzinger E. Pressure and temperature differences between Vaisala RS80 and RS92 radiosonde systems. J. Atmos. Oceanic Technol. 2008, 25(6):909-927.
53. van Delden A. The synoptic setting of thunderstorms in Western Europe. Atmos. Res. 2001, 56(1-4):89-110.
54. von Storch H., Narvarra A. Analysis of Climate Variability: Applications and Statistical Techniques 1995, Vol. 334. Springer-Verlag, New York, USA.
55. Weisman M.L., Klemp J.B. The Dependence of Numerically Simulated Convective Storms on Vertical Wind Shear and Buoyancy. Mon. Weather Rev. 1982, 110:504-520.
56. Wilks D.S. Statistical Methods in the Atmospheric Sciences: An Introduction 1995, Academie Press, San Diego, California, USA.
57. Yue S., Pilon P., Phinney B., Cavadias G. The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrol. Process. 2002, 16(9):1807-1829.