Storm type effects on super Clausius-Clapeyron scaling of intense rainstorm properties with air temperature

Hydrology and Earth System Sciences

Volumn 19, Issue 4, 2015, Pages 1753-1766

  Molnar, P ^a   Fatichi, S ^a   Gaal L ^b,c   Szolgay, J ^b   Burlando, P ^a  

^a ETH ZURICH   (Switzerland)

^b SLOVAK UNIVERSITY OF TECHNOLOGY   (Slovakia)

^c VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC TEMPERATURE; LIGHTNING; PRECIPITATION (METEOROLOGY);

CONVECTIVE EVENTS; CONVECTIVE STORMS; EMPIRICAL STUDIES; EXTREME PRECIPITATION; HYDROLOGICAL RISKS; PRECIPITATION INTENSITY; REGIONAL EFFECTS; SPATIAL VARIABILITY;

STORMS;

AIR TEMPERATURE; ALPINE ENVIRONMENT; ATMOSPHERIC MOISTURE; HYDROLOGICAL RESPONSE; PRECIPITATION INTENSITY; RAINSTORM; SPATIAL VARIATION; WATER VAPOR;

SWITZERLAND;

EID: 84928137914     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-19-1753-2015     Document Type: Article

References (59)

1. Allan, R. P. and Soden, B. J.: Atmospheric warming and the amplification of precipitation extremes, Science, 321, 1481-1484, doi:10.1126/science.1160787, 2008.
2. Allan, R. P., Liu, C., Zahzn, M., Lavers, D. A., Koukouvagias, E., and Bodas-Salcedo, A.: Physically consistent responses of the global atmospheric hydrological cycle in models and observations, Surv. Geophys., 35, 533-552, doi:10.1007/s10712-012- 9213-z, 2014.
3. Ban, N., Schmidli, J., and Schär, C.: Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations, J. Geohys. Res., 119, 7889-7907, doi:10.1002/2014JD021478, 2014.
4. Beniston, M., Rebetez, M., Giorgi, F., and Marinucci, M. R.: An analysis of regional climate-change in Switzerland, Theor. Appl. Climatol., 49, 135-159, doi:10.1007/BF00865530, 1994.
5. Berg, P. and Haerter, J. O.: Unexpected increase in precipitation intensity with temperature - A result of mixing of precipitation types? Atmos. Res., 119, 56-61, doi:10.1016/j.atmosres.2011.05.012, 2013a.
6. Berg, P., Haerter, J. O., Thejll, P., Piani, C., Hagemann, S., and Christensen, J. H.: Seasonal characteristics of the relationship between daily precipitation intensity and surface temperature, J. Geophys. Res., 114, D18102, doi:10.1029/2009JD012008, 2009.
7. Berg, P., Moseley, C., and Haerter, J. O.: Strong increase in convective precipitation in response to higher temperatures, Nat. Geosci., 6, 181-185, doi:10.1038/NGEO1731, 2013b.
8. Birsan, M. V., Molnar, P., Pfaundler, M., and Burlando, P.: Streamflow trends in Switzerland, J. Hydrol., 314, 312-329, doi:10.1016/j.jhydrol.2005.06.008, 2005.
9. Brunetti, M., Lentini, G., Maugeri, M., Nanni, T., Auer, I., Boehm, R., and Schoener, W.: Climate variability and change in the Greater Alpine Region over the last two centuries based on multivariable analysis, Int. J. Climatol., 29, 2197-2225, doi:10.1002/joc.1857, 2009.
10. Chvila, B., Sevruk, B., and Ondras, M.: The wind-induced loss of thunderstorm precipitation measurements, Atmos. Res., 77, 29-38, doi:10.1016/j.atmosres.2004.11.032, 2005.
11. Dunkerley, D. L.: How do the rain rates of sub-event intervals such as the maximum 5- and 15-min rates (I5 or I30) relate to the properties of the enclosing rainfall event?, Hydrol. Process., 24, 2425-2439, doi:10.1002/hyp.7650, 2010.
12. Fatichi, S., Barbosa, S. M., Caporali, E., and Silva, M. E.: Deterministic versus stochastic trends: Detection and challenges, J. Geophys. Res., 114, D18121, doi:10.1029/2009JD011960, 2009.
13. Fatichi, S., Molnar, P., Mastrotheodoros, T., and Burlando, P.: Diurnal and seasonal changes in near surface humidity in a complex orography, J. Geophys. Res.-Atmos., 120, doi:10.1002/2014JD022537, in press, 2015.
14. Frei, C. and Schaer, C.: Detection probability of trends in rare events: Theory and application to heavy precipitation in the Alpine region, J. Climate, 14, 1568-1584, doi:10.1175/1520- 0442(2001)014〈1568:DPOTIR〉2.0.CO;2, 2001.
15. Gaál, L., Molnar, P., and Szolgay, J.: Selection of intense rainfall events based on intensity thresholds and lightning data in Switzerland, Hydrol. Earth Syst. Sci, 18, 1561-1573, doi:10.5194/hess-18-1561-2014, 2014.
16. Grace, R. A. and Eagleson, P. S.: A model for generating synthetic sequences of short-time-interval rainfall depths, in: Proceedings of International Hydrology Symposium, Fort Collins, Colorado, 268-276, 1967.
17. Grungle, B. and Krider, P.: Cloud-to-ground lightning and surface rainfall in warm-season Florida thunderstorms, J. Geophys. Res., 111, D19203, doi:10.1029/2005JD006802, 2006.
18. Haerter, J. O. and Berg, P.: Unexpected rise in extreme precipitation caused by a shift in rain type?, Nat. Geosci., 2, 372-373, doi:10.1038/ngeo523, 2009.
19. Haerter, J. O., Berg, P., and Hagemann, S.: Heavy rain intensity distributions on varying time scales and at different temperatures, J. Geophys. Res., 115, D17102, doi:10.1029/2009JD013384, 2010.
20. Hardwick Jones, R.,Westra, S., and Sharma, A.: Observed relationships between extreme sub-daily precipitation, surface temperature, and relative humidity, Geophys. Res. Lett., 37, L22805, doi:10.1029/2010GL045081, 2010.
21. Lang, S., Tao, W. K., Simpson, J., and Ferrier, B.: Modeling of convective-stratiform precipitation processes: Sensitivity to partitioning methods, J. Appl. Meteor., 42, 505-527, doi:10.1175/1520-0450(2003)042〈0505:MOCSPP〉2.0.CO;2, 2003.
22. Lenderink, G. and Van Meijgaard, E.: Increase in hourly precipitation extremes beyond expectations from temperature changes, Nat. Geosci., 1, 511-514, doi:doi:10.1038/ngeo262, 2008.
23. Lenderink, G. and Van Meijgaard, E.: Linking increases in hourly precipitation extremes to atmospheric temperature and moisture changes, Environ. Res. Lett., 5, 025208, doi:10.1088/1748- 9326/5/2/025208, 2010.
24. Lenderink, G., Mok, H. Y., Lee, T. C., and van Oldenborgh, G. J.: Scaling and trends of hourly precipitation extremes in two different climate zones - Hong Kong and the Netherlands, Hydrol. Earth Syst. Sci., 15, 3033-3014, doi:10.5194/hess-15-3033- 2011, 2011.
25. Llasat, M. C.: An objective classification of rainfall events on the basis of their convective features: application to rainfall intensity in the Northeast of Spain, Int. J. Climatol., 21, 1385-1400, doi:10.1002/joc.692, 2001.
26. Llasat, M. C., Rigo, T., Ceperuelo, M., and Barrera, A.: Estimation of convective precipitation: the meteorological radar versus an automatic rain gauge network, Adv. Geosci., 2, 103-109, doi:10.5194/adgeo-2-103-2005, 2005.
27. Llasat, M. C., Ceperuelo, M., and Rigo, T.: Rainfall regionalization on the basis of the precipitation convective features using a rain-gauge network and weather radar observations, Atmos. Res., 83, 415-426, doi:10.1016/j.atmosres.2005.08.014, 2007.
28. Loriaux, J. M., Lenderink, G., De Roode, S. R., and Pier Siebsma, A.: Understanding convective extreme precipitation scaling using observations and an entraining plume model, J. Atmos. Sci., 70, 3641-3655, doi:10.1175/JAS-D-12-0317.1, 2013.
29. Mishra, V., Wallace, J. M., and Lettenmaier, D. P.: Relationship between hourly extreme precipitation and local air temperature in the United States, Geophys. Res. Lett., 39, L16403, doi:10.1029/2012GL052790, 2012.
30. Molnar, P. and Burlando, P.: Variability in the scale properties of high-resolution precipitation data in the Alpine climate of Switzerland, Water Resour. Res., 44, W10404, doi:10.1029/2007WR006142, 2008.
31. Mosley, C., Berg, P., and Haerter, J. O.: Probing the precipitation life cycle by iterative rain cell tracking, 118, 13361-13370, doi:10.1002/2013JD020868, 2013.
32. O'Gorman, P. A.: Sensitivity of tropical precipitation extremes to climate change, Nat. Geosci., 5, 697-700, doi:10.1038/NGEO1568, 2012.
33. O'Gorman, P. A. and Schneider, T.: The physical basis for increases in precipitation extremes in simulations of 21st-century climate, P. Natl. Acad. Sci. USA, 106, 14773-14777, doi:10.1073/pnas.0907610106, 2009a.
34. O'Gorman, P. A. and Schneider, T.: Scaling of precipitation extremes over a wide range of climates simulated with an idealized GCM, J. Climate, 22, 5676-5685, doi:10.1175/2009JCLI2701.1,2009b.
35. Pall, P., Allen, M. R., and Stone, D. A.: Testing the Clausius-Clapeyron constraint on changes in extreme precipitation under CO2 warming, Clim. Dynam., 28, 351-363, doi:10.1007/s00382-006-0180-2, 2007.
36. Panthou, G., Mailhot, A., Laurence E., and Talbot, G.: Relationship between surface temperature and extreme rainfalls: A multi-time- scale and event-based analysis, J. Hydromet., 15, 1999-2011, doi:10.1175/JHM-D-14-0020.1, 2014.
37. Panziera, L. and Germann, U.: The relation between airflow and orographic precipitation on the southern side of the Alps as revealed by weather radar, Q. J. Roy. Meteorol. Soc., 136, 222-238, doi:10.1002/qj.544, 2010.
38. Paschalis, A., Molnar, P., and Burlando, P.: Temporal dependence structure in weights in a multiplicative cascade model for precipitation, Water Resour. Res., 48, W01501, doi:10.1029/2011WR010679, 2012.
39. Paschalis, A., Molnar, P., Fatichi, S., and Burlando, P.: A stochastic model for high-resolution space-time precipitation simulation, Water Resour. Res., 49, 8400-8417, doi:10.1002/2013WR014437, 2013.
40. Paschalis, A., Molnar, P., Fatichi, S., and Burlando, P.: On temporal stochastic modeling of precipitation, nesting models across scales, Adv. Water Resour., 63, 152-166, doi:10.1016/j.advwatres.2013.11.006, 2014.
41. Pešice, P., Sulan, J., and Řezáčová, D.: Convection precursors in the Czech territory, Atmos. Res., 67-69, 523-532, doi:10.1016/S0169-8095(03)00070-X, 2003.
42. Petersen, W. A. and Rutledge, S. A.: On the relationship between cloud-to-ground lightning and convective rainfall, J. Geophys. Res., 103, 14025-14040, doi:10.1029/97JD02064, 1998.
43. Price, C. and Federmesser, B.: Lightning-rainfall relationships in Mediterranean winter thunderstorms, Geophys. Res. Lett., 33, L07813, doi:10.1029/2005GL024794, 2006.
44. Restrepo-Posada, P. J. and Eagleson, P. S.: Identification of independent rainstorms, J. Hydrol., 55, 303-319, doi:10.1016/0022- 1694(82)90136-6, 1982.
45. Rigo, T. and Llasat, M. C.: A methodology for the classification of convective structures using meteorological radar: Application to heavy rainfall events on the Mediterranean coast of the Iberian Peninsula, Nat. Hazards Earth Syst. Sci., 4, 59-68, doi:10.5194/nhess-4-59-2004, 2004.
46. Roderick, M. L., Sun, F., Lim,W. H., and Farquhar, G. D.: A general framework for understanding the response of the water cycle to global warming over land and ocean, Hydrol. Earth Syst. Sci., 18, 1575-1589, doi:10.5194/hess-18-1575-2014, 2014.
47. Romps, D. M., Seeley, J. T., Vollaro, D., and Molinari, J.: Projected increase in lightning strikes in the United States due to global warming, Science, 346, 851-854, doi:10.1126/science.1259100, 2014.
48. Rulfová, Z. and Kyselý, J.: Disaggregating convective and stratiform precipitation from station weather data, Atmos. Res., 134, 100-115, doi:10.1016/j.atmosres.2013.07.015, 2013.
49. Schneider, T., O'Gorman, P. A., and Levine, X. J.: Water vapor and the dynamics of climate changes, Rev. Geophys., 48, RG3001, doi:10.1029/2009RG000302, 2010.
50. Shaw, S. B., Royem, A. A., and Riha, S. J.: The relationship between extreme hourly precipitation and surface temperature in different hydroclimatic regions of the United States, J. Hydrometeorol., 12, 319-325, doi:10.1175/2011JHM1364.1, 2011.
51. Siler, N. and Roe, G.: How will orographic precipitation respond to surface warming? An idealized thermodynamic perspective, Geophys. Res. Lett., 41, 2606-2613, doi:10.1002/2013GL059095, 2014.
52. Tapia, A., Smith, J. A., and Dixon, M.: Estimation of convective rainfall from lighnting observations, J. Appl. Meteorol., 37, 1497-1509, doi:10.1175/1520- 0450(1998)037〈1497:EOCRFL〉2.0.CO;2, 1998.
53. Trenberth, K. E.: Conceptual framework for changes of extremes of the hydrological cycle with climate change, Clim. Change, 42, 327-339, doi:10.1023/A:1005488920935, 1999.
54. Trenberth, K. E., Dai, A., Rasmussen, R. M., and Parsons, D. B.: The changing character of precipitation, B. Am. Meteorol. Soc., 84, 1205-1217, doi:10.1175/BAMS-84-9-120, 2003.
55. Utsumi, N., Seto, S., Kanae, S., Maeda, E. E., and Oki, T.: Does higher surface temperature intensify extreme precipitation? Geophys. Res. Lett., 38, L16708, doi:10.1029/2011GL048426, 2011.
56. Wasko, C. and Sharma, A.: Quantile regression for investigating scaling of extreme precipitation with temperature,Water Resour. Res., 50, 3608-3614, doi:10.1002/2013WR015194, 2014.
57. Westra, S., Fowler, H. J., Evans, J. P., Alexander, L. V., Berg, P., Johnson, F., Kendon, E. J., Lenderink, G., and Roberts, N. M.: Future changes to the intensity and frequency of short-duration extreme rainfall, Rev. Geophys., 52, 522-555, doi:10.1002/2014RG000464, 2014.
58. Widmann, M. and Schaer, C.: A principal component and longterm trend analysis of daily precipitation in Switzerland, Int. J. Climatol., 17, 1333-1356, doi:10.1002/(SICI)1097- 0088(199710)17:12〈1333::AID-JOC108〉3.0.CO;2-Q, 1997.
59. Yair, Y., Lynn, B., Price, C., Kotroni, V., Lagouvardos, K., Morin, E., Mugnai, A., and Llasat, M. C.: Predicting the potential for lightning activity in Mediterranean storms based on the Weather Research and Forecasting (WRF) model dynamic and microphysical fields, J. Geophys. Res., 115, D04205, doi:10.1029/2008JD010868, 2010.