Specification of wet-day daily rainfall quantiles from the mean value
By: R. E. Benestad, Doug Nychka and Linda O. Mearns
References
- Balakrishnan
. Basu. The exponential distribution: theory, methods and applications. B.V. Publishers: Amsterdam, 1995 - Benestad
, R. E. 2007. Novel methods for inferring future changes in extreme rainfall over Northern Europe. Clim. Res. 34, 195– 210. 10.3402/tellusa.v64i0.14981. - Benestad
. 2010. Downscaling precipitation extremes: correction of analog models through PDF predictions. Theor. Appl. Clim. 100, 1. 10.3402/tellusa.v64i0.14981. - Benestad
. Chen. Hanssen-Bauer. Empirical-statistical downscaling. World Scientific Publishing: Singapore, 2008 - Blyth
. Benestad. Krehbiel. Latham. Observations of supercooled raindrops in New Mexico summertime cumuli. J. Atmos. Sci. 1997; 54( 4): 569– 575. - Bremnes
, J. B. 2004. Probabilistic forecasts of precipitation in terms of quantiles using NWP model output . Monthly Weather Rev. 132, 338347. 10.3402/tellusa.v64i0.14981. - Bretherton
. Smith. Wallace. An intercomparison of methods for finding coupled patterns in climate data. J. Clim. 1992; 5: 541– 560. - Coles
. An introduction to statistical modeling of extreme values. Springer: London, 2001 - Epstein
. Ferber. Changing planet, changing health. University of California Press: Berkely and Los Angeles CA, 2011 - Frei
, C, Schöll, R, Fukutome, S, Schmidli, Jand Vidale, P. L. 2006. Future change of precipitation extremes in Europe: intercomparison of scenarios from regional climate models . J. Geophys. Res. 111, D06105. 10.3402/tellusa.v64i0.14981. - Friederichs
. Statistical downscaling of extreme precipitation using extreme value theory. Extremes. 2010; 13: 109– 132. - Friederichs
. Hense. Statistical downscaling of extreme precipitation events using censored quantile regression. Monthly Weather Rev. 2007; 135: 2365– 2378. - Frigessi
. Haug. Rue. A dynamic mixture model for unsupervised tail estimation without treshold selection. Extremes. 2003; 5: 219– 235. - Frisch
. Sornett. Extreme deviations and applications. J. Phys. I. 1997; 7( 9): 1155– 1171. - Giorgi
, F, Diffenbaugh, N. S, Gao, X. J, Coppola, E, Dash, S. Kand co-authors. 2008. The regional climate change hyper-matrix framework. Eos. 89( 45), 445– 456. - Haylock
, M. R, Hofstra, N, Klein Tank, A. M. G, Klok, E. J, Jones, P. Dand co-authors. 2008. A European daily high-resolution gridded dataset of surface temperature and precipitation . J. Geophys. Res. 113, D20119. 10.3402/tellusa.v64i0.14981. - Klein Tank
, A. M. G, Wijngaard, J. B, Können, G. P, Böhm, R, Demarée, Gand co-authors. 2002. Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int. J. Clim. 22, 1441– 1453. Online at:http://eca.knmi.nl . - Kundzewicz
, Z. W, Mata, L. J, Arnell, N, Döll, P, Kabat, P. and co-authors. 2007. Climate change: impacts, adaptation and vulnerabilit. Contribution of Working Group II to the fourth assessment report of the intergovernmental panel on climate change . Cambridge University Press: CambridgeUK and New York, NY, USA. - Lanzante
. Resistant, robust, and nonparametric techniques for the analysis of climate data. Theory and examples, including applications to historical radiosonde station data. Int. J. Clim. 1996; 16: 1197– 1226. - Legates
, D. Rand Willmott, C. J. 1990a. Mean seasonal and spatial variability in gauge-corrected global precipitation . Int. J. Clim. 10, 111–127. - Legates
. Willmott. Mean seasonal and spatial variability in global surface air temperature. Theor. Appl. Clim. 1990b; 41: 11– 21. - Maraun
, D, Wetterhall, F, Chandler, R. E, Kendon, E. J, Widmann, Mand co-authors. 2010. Precipitation downscaling under climate change: recent developments to bridge the gap between dynamical models and the end user . Rev. Geophys. 48, 10.3402/tellusa.v64i0.14981. - Oreskes
, N, Stainforth, D. Aand Smith, L. A. 2010. Adaptation to global warming: Do climate models tell us what we need to know? . Philos. Sci. 77, 1012–1028. 10.3402/tellusa.v64i0.14981. - Orskaug
, E, Scheel, I, Frigressi, A, Guttorp, P, Haugen, J. Eand co-authors. 2011. Evaluation of a dynamic downscaling of precipitation over the Norwegian mainland. Tellus. 63A, 746– 756. - Peterson
. Daan. Jones. Initial selection of a GCOS surface network. Bull. Amer. Meteor. Soc. 1997; 78( 10): 2145– 2152. - Press
. Flannery. Teukolsky. Vetterling. Numerical recipes in pascal. Cambridge University Press: Cambridge, 1989 - Pryor
, S. C, School, J. Tand Barthelmie, R. J. 2005. Empirical downscaling of wind speed probability distributions . J. Geophys. Res. 110, D19109. - R Development Core Team
. 2004. R: a language and environment for statistical computing . R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. - Rogers
. Yau. A short course in cloud physics3rd edn. Pergamon Press: Oxford, 1989 - Schmidli
, J, Goodess, C. M, Frei, C, Haylock, M. R, Hundecha, Yand co-authors. 2007. Statistical and dynamical downscaling of precipitation: an evaluation and comparison of scenarios for the Alps . J. Geophys. Res. 112,D04105. 10.3402/tellusa.v64i0.14981. - Semenov
, V. Aand Bengtsson, L. 2002. Secular trends in daily precipitation characteristics: greenhouse gas simulation with a coupled AOGCM. Clim. Dyn. 19, 123– 140. 10.3402/tellusa.v64i0.14981. - Smither
. Schulze. A methodology for the estimation of short duration design storms in South Africa using a regional approach based on L-moments. J. Hydrol. 2001; 241( 1–2): 42– 52. - Solomon
, S, Quin, D, Manning, M, Chen, Z, Marquis, M. and co-authors. 2007. Climate change: the physical science basis. contribution of working group I to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press: CambridgeUK and New York, NY, USA. - Themeßl
, M. J, Gobiet, Aand Leuprecht, A. 2010. Empirical-statistical downscaling and error correction of daily precipitation from regional climate models . International J. Clim. 31, 1530–1544. - Timbal
. Jones. Future projections of winter rainfall in southeast Australia using a statistical downscaling technique. Climatic Change. 2008; 86: 165– 187. - van den Besselaar
, E. J. M, Haylock, M. R, van der Schrier, Gand Klein Tank, A. M. G. 2011. A European daily high-resolution observational gridded data set of sea level pressure . J. Geophys. Res. 116, D11110. 10.3402/tellusa.v64i0.14981. - van der Linden
, P. and Mitchell, J. F. B. 2009. Ensembles: climate change and its impacts: summary of research and results from the ENSEMBLES project. European Comission: Met Office Hadley CentreExeter, UK. - Vrac
, Mand Naveau, P. 2007. Stochastic downscaling of precipitation: from dry events to heavy rainfalls . Water Resour. Res. 43, W07402. 10.3402/tellusa.v64i0.14981. - Wilks
. Multisite generalization of a daily stochastic precipitation generation model. J. Hydrol. 1998; 210( 1–4): 178– 191. - Wilks
. Interannual variability and extreme-value characteristics of several stochastic daily precipitation models. Agr. Forest Meteorol. 1999; 93( 3): 153– 169. - Wilson
, P. Sand Toumi, R. 2005. A fundamental probability distribution for heavy rainfall . Geophys. Res. Lett. 32, L14812. 10.3402/tellusa.v64i0.14981. - Woolhiser
. Roldán. Stochastic daily precipitation models: 2. A comparison of distributions of amounts. Water Resour. Res. 1982; 18( 5): 1461– 1468.
DOI: https://doi.org/10.3402/tellusa.v64i0.14981 | Journal eISSN: 3035-9554
Language: English
Page range: 14981 - 14981
Submitted on: Jun 21, 2011
Published on: Dec 1, 2012
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2012 R. E. Benestad, Doug Nychka, Linda O. Mearns, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.