Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

Statistical Modelling of Recent Changes in Extreme Rainfall in Taiwan

dc.contributor.authorChu, Lan-Fen
dc.contributor.authorMcAleer, Michael
dc.contributor.authorWang, Szu-Hua
dc.date.accessioned2023-06-20T09:15:07Z
dc.date.available2023-06-20T09:15:07Z
dc.date.issued2012-12
dc.descriptionJEL: Q54, Q51, Q57.
dc.description.abstractThis paper has two primary purposes. First, we fit the annual maximum daily rainfall data for 6 rainfall stations, both with stationary and non-stationary generalized extreme value (GEV) distributions for the periods 1911-2010 and 1960-2010 in Taiwan, and detect the changes between the two phases for extreme rainfall. The non-stationary model means that the location parameter in the GEV distribution is a linear function of time to detect temporal trends in maximum rainfall. Second, we compute the future behavior of stationary models for the return levels of 10, 20, 50 and 100-years based on the period 1960-2010. In addition, the 95% confidence intervals of the return levels are provided. This is the first investigation to use generalized extreme value distributions to model extreme rainfall in Taiwan.
dc.description.facultyFac. de Ciencias Económicas y Empresariales
dc.description.facultyInstituto Complutense de Análisis Económico (ICAE)
dc.description.refereedFALSE
dc.description.sponsorshipTaiwan Climate Change Projection and Information Platform Project
dc.description.sponsorshipAustralian Research Council
dc.description.sponsorshipNational Science Council, Taiwan
dc.description.sponsorshipJapan Society for the Promotion of Science
dc.description.statusunpub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/17573
dc.identifier.relatedurlhttps://www.ucm.es/icae
dc.identifier.urihttps://hdl.handle.net/20.500.14352/49129
dc.issue.number29
dc.language.isoeng
dc.page.total12
dc.relation.ispartofseriesDocumentos de Trabajo del Instituto Complutense de Análisis Económico (ICAE)
dc.relation.projectIDNSC 100-2621-M-492-001
dc.rightsAtribución-NoComercial 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/es/
dc.subject.keywordGeneralized extreme value
dc.subject.keywordExtreme rainfall
dc.subject.keywordReturn level
dc.subject.keywordStatistical modelling.
dc.subject.ucmEconometría (Economía)
dc.subject.unesco5302 Econometría
dc.titleStatistical Modelling of Recent Changes in Extreme Rainfall in Taiwan
dc.typetechnical report
dc.volume.number2012
dcterms.referencesX. Ge, T. Li, S. Zhang, and M. Peng. What causes the extremely heavy rainfall in Taiwan during Typhoon Morakot (2009)?. Atmos. Sci. Lett. 2010, 11: 46-50. doi: 10.1002/asl.255. C.-C. Hong, M.-Y. Lee, H.-H. Hsu, and J.-L. Kuo. Role of submonthly disturbance and 40–50 day ISO on the extreme rainfall event associated with Typhoon Morakot (2009) in southern Taiwan. Geophys. Res. Lett. 2010, 37, L08805, doi:10.1029/2010GL042761. H.-J. Chu, T.-Y. Pan, and J.-J. Liou. Extreme precipitation estimation with typhoon Morakot using frequency and spatial analysis. Terr. Atmos. Ocean. Sci. 2011, 22(6): 549-558, December 2011. doi: 10.3319/TAO.2011.05.10.02(TM). H.-H. Chia and C.T. Lee. The long-term variability of typhoon activity. Taiwan Climate Change Conference. 2008. Taipei. (in Chinese). J.-Y. Tu, C. Chou, and P.-S. Chu. The abrupt shift of typhoon activity in the vicinity of Taiwan and its association with western North Pacific-East Asian climate change. J. Climate.2009, 22: 3617-3628. V.T.V., Nguyen, T.D., Nguyen and H. Wang. Regional estimation of short duration rainfall extremes. Wat. Sci. Technol. 1998, 37:15-19. V.T.V., Nguyen, T.D., Nguyen and F. Ashkar. Regional frequency analysis of extreme rainfalls, Wat. Sci. Technol. 2002, 45:75-81. D. Koutsoyiannis and G. Baloutsos. Analysis of a long record of annual maximum rainfall in Athens, Greece, and design rainfall inferences. Nat. Hazards. 2000, 22:29-48. V. Ferro. Rainfall intensity–duration–frequency formula for India – discussion; J. Hydr. Eng-ASCE. 1993, 119: 960–962. B.P. Parida. Modelling of Indian summer monsoon rainfall using a four-parameter Kappa distribution; Int. J. Climatol. 1999, 19:1389–1398. M. Cannarozzo, F. Dasaro, and V. Ferro. Regional rainfall and flood frequency-analysis for Sicily using the 2-component extreme-value distribution. Hydro. Sci. J. 1995, 40:19-42. G. Aronica, M. Cannarozzo, and L. Noto. Investigating the changes in extreme rainfall series recorded in an urbanised area. Wat. Sci. Technol. 2002, 45: 49-54. A, Crisci, B. Gozzini, F. Meneguzzo, S. Pagliara and G. Maracchi. Extreme rainfall in a changing climate: regional analysis and hydrological implications in Tuscany. Hydrol. Process. 2002, 16:1261-1274. M.D. Zalina, M.N.M. Desa, V.T.V. Nguyen, and A.H.M. Kassim. Selecting a probability distribution for extreme rainfall series in Malaysia. Wat. Sci. Technol. 2002, 45: 63–68. C.S. Withers and S. Nadarajah. Evidence of trend in return levels for daily rainfall in New Zealand, J. Hydrol. (NZ). 2000, 39(2):155-166. S. Feng, S. Nadarajah, and Q. Hu. Modeling annual extreme precipitation in China using the generalized extreme value distribution. J. Meteorol. Soc. Jpn. 2007, 85:599–613. S. Nadarajah and D. Choi. Maximum daily rainfall in South Korea. J. Earth Syst. Sci. 2007, 116(4): 311-320. S. Nadarajah. Extremes of daily rainfall in West Central Florida. Climatic Change, 2005. 69: 325-342. J.S. Park, H.-S. Kang, Y.-S., Lee and M.-K. Kim. Changes in extreme daily rainfall in South Korea, Int. J. Climatol. 2010. A.F. Jenkinson. The frequency distribution of the annual maximum (or minimum) values of meteorological elements. Quart. J. Roy. Meteor. Soc. 1955, 81: 158−171. J.R.M. Hosking and J. R. Wallis. Parameter and quantile estimation for the generalized Pareto distribution. Technometrics, 1987, 29(3): 339−349. J. Galambos. The asymptotic theory of extreme order statistics, 2nd edn. (Melbourne, Florida: Krieger), 1987.
dspace.entity.typePublication

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1229.pdf
Size:
215.52 KB
Format:
Adobe Portable Document Format