Extreme Rainfall Event Analysis Using Rain Gauges in a Variety of Geographical Situations
- 1 CINFAI (Consorzio Interuniversitario Nazionale per la Fisica delle Atmosfere e delle Idrosfere), Localunitat Politecnico di Torino, Torino, Italy
- 2 CINFAI (Consorzio Interuniversitario Nazionale per la Fisica delle Atmosfere e delle Idrosfere), Localunitat Politecnico di Torino, Torino, Italy
- 3 CINFAI (Consorzio Interuniversitario Nazionale per la Fisica delle Atmosfere e delle Idrosfere), Localunitat Politecnico di Torino, Torino, Italy
Abstract
About 30 years of measurements made by the rain gauges located in Piedmont (Italy) have been analyzed. Rain gauges have been divided into 4 datasets considering the complex orography near Turin, namely the flatlands, mountains, hills and urban areas. For each group of gauges, the Generalized Extreme Values (GEV) distributions are estimated considering both the entire dataset of available data and different sets of 3 years of data in running mode. It is shown that the GEV estimated parameters temporal series for the 3 years dataset do not present any specific trend over the entire period. The study presented here is preliminary to a future extreme rainfall event analysis using high temporal and spatial resolution X-band weather radar with a limited temporal availability of radar maps covering the same area.
- Mason, S.J., Waylen, P.R., Mimmack, G.M., Rajaratnam, B. and Harrison, J.R. (1999) Changes in Extreme Rainfall Events in South Africa. Climate Change, 41, 249-257. http://dx.doi.org/10.1023/A:1005450924499
- Fosse, E.R. and Changnon, S.A. (1993) Potential Impacts of Shifts in Climate on the Crop Insurance Industry. Bulletin of the American Meteorological Society, 74, 1703-1708. http://dx.doi.org/10.1175/1520-0477(1993)074 2.0.CO;2
- Mearns, L.O., Katz, R.W. and Schneider, S.H. (1984) Extreme High-Temperature Events: Changes in Their Probabilities with Changes in Mean Temperature. Journal of Climate and Applied Meteorology, 23, 1601-1613. http://dx.doi.org/10.1175/1520-0450(1984)023 2.0.CO;2
- Wigley, T.M.L. (1985) Climatology: Impact of Extreme Events. Nature, 316, 106-107. http://dx.doi.org/10.1038/316106a0.
- Rind, D., Goldberg, R. and Ruedy, R. (1989) Change in Climate Variability in the 21st Century. Climate Change, 14, 5-37.
- Katz, R.W. and Brown, B.G. (1992) Extreme Events in a Changing Climate: Variability Is More Important than Averages. Climate Change, 21, 289-302. http://dx.doi.org/10.1007/BF00139728
- Katz, R.W. and Acero, J.G. (1994) Sensitivity Analysis of Extreme Precipitation Events. International Journal of Climatology, 14, 985-999. http.//dx.doi.org/10.1002/joc.3370140904
- Wagner, D. (1996) Scenarios of Extreme Temperature Events. Climate Change, 33, 385-407. http://dx.doi.org/10.1007/BF00142585
- Liew, S.C. (2014) Analysis of Extreme Precipitation Events in Southeast Asia Using TRMM Data. IGARSS 2014, Quebec, 13-18 July 2014, 247-249.
- Castellarin, A., Merz, R. and Bloschl, G. (2009) Probabilistic Envelope Curves for Extreme Rainfall Events. Journal of Hydrology, 378, 263-271. http://dx.doi.org/10.1016/j.jhydrol.2009.09.030
- Chu, P.S., Zhao, X., Ruan, Y. and Grubbs, M. (2009) Extreme Rainfall Events in the Hawaiian Islands. Journal of Applied Meteorology and Climatology, 48, 502-516. http://dx.doi.org/10.1175/2008JAMC1829.1
- Overeem, A., Buishand, A. and Holleman, I. (2008) Rainfall Depth-Duration-Frequency Curves and Their Uncertai-nties. Journal of Hydrology, 348, 124-134. http://dx.doi.org/10.1016/j.jhydrol.2007.09.044.
- Overeem, A., Holleman, I. and Buishand, A. (2009) Derivation of 10-Year Radar Based Climatology of Rainfall. Journal of Applied Meteorology and Climatology, 48, 1448-1463. http://dx.doi.org/10.1175/2009JAMC1954.1