메뉴 건너뛰기




Volumn 29, Issue 5, 2016, Pages 1605-1615

Does quantile mapping of simulated precipitation correct for biases in transition probabilities and spell lengths?

Author keywords

Climate models; Mathematical and statistical techniques; Model comparison; Model errors; Model evaluation performance; Model output statistics; Models and modeling; Statistical techniques

Indexed keywords

MAPPING; MARKOV PROCESSES; STATISTICAL MECHANICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 84960842694     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-15-0162.1     Document Type: Article
Times cited : (72)

References (39)
  • 1
    • 84905739047 scopus 로고    scopus 로고
    • Bias correction for hydrological impact studies-Beyond the daily perspective
    • Addor, N., and J. Seibert, 2014: Bias correction for hydrological impact studies-Beyond the daily perspective. Hydrol. Processes, 28, 4823-4828, doi:10.1002/hyp.10238.
    • (2014) Hydrol. Processes , vol.28 , pp. 4823-4828
    • Addor, N.1    Seibert, J.2
  • 2
    • 84881179096 scopus 로고    scopus 로고
    • Physical constraints for temperature biases in climate models
    • Bellprat, O., S. Kotlarski, D. Lüthi, and C. Schär, 2013: Physical constraints for temperature biases in climate models. Geophys. Res. Lett., 40, 4042-4047, doi:10.1002/grl.50737.
    • (2013) Geophys. Res. Lett , vol.40 , pp. 4042-4047
    • Bellprat, O.1    Kotlarski, S.2    Lüthi, D.3    Schär, C.4
  • 3
    • 84861645573 scopus 로고    scopus 로고
    • Overestimation of Mediterranean summer temperature projections due to model deficiencies
    • Boberg, F., and J. H. Christensen, 2012: Overestimation of Mediterranean summer temperature projections due to model deficiencies. Nat. Climate Change, 2, 433-436, doi:10.1038/nclimate1454.
    • (2012) Nat. Climate Change , vol.2 , pp. 433-436
    • Boberg, F.1    Christensen, J.H.2
  • 4
    • 77954854676 scopus 로고    scopus 로고
    • Bayesian multi-model projection of climate: Bias assumptions and interannual variability
    • Buser, C., H. R. Künsch, D. Lüthi, M. Wild, and C. Schär, 2009: Bayesian multi-model projection of climate: Bias assumptions and interannual variability. Climate Dyn., 33, 849-868, doi:10.1007/s00382-009-0588-6.
    • (2009) Climate Dyn , vol.33 , pp. 849-868
    • Buser, C.1    Künsch, H.R.2    Lüthi, D.3    Wild, M.4    Schär, C.5
  • 5
    • 84859712302 scopus 로고    scopus 로고
    • MeteoSwiss Rep
    • CH2011, 2011: Swiss climate change scenarios CH2011.MeteoSwiss Rep., 88 pp. [Available online at http://ch2011.ch/.]
    • (2011) Swiss climate change scenarios CH2011 , pp. 88
  • 7
    • 34248168039 scopus 로고    scopus 로고
    • A summary of the PRUDENCE model projections of changes in European climate by the end of this century
    • Christensen, J. H., and O. Christensen, 2007: A summary of the PRUDENCE model projections of changes in European climate by the end of this century. Climatic Change, 81, 7-30, doi:10.1007/s10584-006-9210-7.
    • (2007) Climatic Change , vol.81 , pp. 7-30
    • Christensen, J.H.1    Christensen, O.2
  • 8
    • 58249085384 scopus 로고    scopus 로고
    • On the need for bias correction of regional climate change projections of temperature and precipitation
    • Christensen, J. H., F. Boberg, O. B. Christensen, and P. Lucas-Picher, 2008: On the need for bias correction of regional climate change projections of temperature and precipitation. Geophys. Res. Lett., 35, L20709, doi:10.1029/2008GL035694.
    • (2008) Geophys. Res. Lett , vol.35
    • Christensen, J.H.1    Boberg, F.2    Christensen, O.B.3    Lucas-Picher, P.4
  • 9
    • 35348933854 scopus 로고    scopus 로고
    • Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling
    • Fowler, H. J., S. Blenkinsop, and C. Tebaldi, 2007: Linking climate change modelling to impacts studies: Recent advances in downscaling techniques for hydrological modelling. Int. J. Climatol., 27, 1547-1578, doi:10.1002/joc.1556.
    • (2007) Int. J. Climatol , vol.27 , pp. 1547-1578
    • Fowler, H.J.1    Blenkinsop, S.2    Tebaldi, C.3
  • 10
    • 84867553702 scopus 로고    scopus 로고
    • Downscaling RCM precipitation to the station scale using statistical transformations-A comparison of methods
    • Gudmundsson, L., J. B. Bremnes, J. E. Haugen, and T. Engen-Skaugen, 2012: Downscaling RCM precipitation to the station scale using statistical transformations-A comparison of methods. Hydrol. Earth Syst. Sci., 16, 3383-3390, doi:10.5194/hess-16-3383-2012.
    • (2012) Hydrol. Earth Syst. Sci , vol.16 , pp. 3383-3390
    • Gudmundsson, L.1    Bremnes, J.B.2    Haugen, J.E.3    Engen-Skaugen, T.4
  • 11
    • 80054988347 scopus 로고    scopus 로고
    • Enhancing the utility of daily GCM rainfall for crop yield prediction
    • Ines, A. V. M., J. W. Hansen, and A. W. Robertson, 2011: Enhancing the utility of daily GCM rainfall for crop yield prediction. Int. J. Climatol., 31, 2168-2182, doi:10.1002/joc.2223.
    • (2011) Int. J. Climatol , vol.31 , pp. 2168-2182
    • Ines, A.V.M.1    Hansen, J.W.2    Robertson, A.W.3
  • 14
    • 84897025478 scopus 로고    scopus 로고
    • EURO-CORDEX: New highresolution climate change projections for European impact research
    • Jacob, D., and Coauthors, 2014: EURO-CORDEX: New highresolution climate change projections for European impact research. Reg. Environ. Change, 14, 563-578, doi:10.1007/s10113-013-0499-2.
    • (2014) Reg. Environ. Change , vol.14 , pp. 563-578
    • Jacob, D.1
  • 16
    • 84960868418 scopus 로고    scopus 로고
    • Stochastic modelling of spatially and temporally consistent daily precipitation time-series over complex topography
    • Keller, D. E., A. M. Fischer, C. Frei, M. A. Liniger, C. Appenzeller, and R. Knutti, 2014: Stochastic modelling of spatially and temporally consistent daily precipitation time-series over complex topography. Hydrol. Earth Syst. Sci. Discuss., 11, 8737-8777, doi:10.5194/hessd-11-8737-2014.
    • (2014) Hydrol. Earth Syst. Sci. Discuss , vol.11 , pp. 8737-8777
    • Keller, D.E.1    Fischer, A.M.2    Frei, C.3    Liniger, M.A.4    Appenzeller, C.5    Knutti, R.6
  • 17
    • 84906877807 scopus 로고    scopus 로고
    • Assessment of bias assumptions for climate models
    • Kerkhoff, C., H. R. Künsch, and C. Schär, 2014: Assessment of bias assumptions for climate models. J. Climate, 27, 6799-6818, doi:10.1175/JCLI-D-13-00716.1.
    • (2014) J. Climate , vol.27 , pp. 6799-6818
    • Kerkhoff, C.1    Künsch, H.R.2    Schär, C.3
  • 19
    • 84898822917 scopus 로고    scopus 로고
    • Regional climate modeling on European scales: A joint standard evaluation of the EUROCORDEXRCMensemble
    • Kotlarski, S., and Coauthors, 2014: Regional climate modeling on European scales: A joint standard evaluation of the EUROCORDEXRCMensemble. Geosci. Model Dev., 7, 1297-1333, doi:10.5194/gmd-7-1297-2014.
    • (2014) Geosci. Model Dev , vol.7 , pp. 1297-1333
    • Kotlarski, S.1
  • 20
    • 84859317391 scopus 로고    scopus 로고
    • Nonstationarities of regional climate model biases in European seasonal mean temperature and precipitation sums
    • Maraun, D., 2012: Nonstationarities of regional climate model biases in European seasonal mean temperature and precipitation sums. Geophys. Res. Lett., 39, L06706, doi:10.1029/2012GL051210.
    • (2012) Geophys. Res. Lett , vol.39
    • Maraun, D.1
  • 21
    • 84875831073 scopus 로고    scopus 로고
    • Bias correction, quantile mapping, and downscaling: Revisiting the inflation issue
    • Maraun, D., 2013: Bias correction, quantile mapping, and downscaling: Revisiting the inflation issue. J. Climate, 26, 2137-2143, doi:10.1175/JCLI-D-12-00821.1.
    • (2013) J. Climate , vol.26 , pp. 2137-2143
    • Maraun, D.1
  • 22
    • 77954700859 scopus 로고    scopus 로고
    • Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user
    • Maraun, D., and Coauthors, 2010: Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user. Rev. Geophys., 48, RG3003, doi:10.1029/2009RG000314.
    • (2010) Rev. Geophys , vol.48
    • Maraun, D.1
  • 24
    • 84881086509 scopus 로고    scopus 로고
    • Starkniederschläge August 2005
    • MeteoSchweiz, 2006: Starkniederschläge August 2005. Arbeitsberichte der MeteoSchweiz 211, 63 pp. [Available online at http://www.meteoschweiz.admin.ch/content/dam/meteoswiss/de/Ungebundene-Seiten/Publikationen/Fachberichte/doc/ab211.pdf.]
    • (2006) Arbeitsberichte der MeteoSchweiz , vol.211 , pp. 63
    • MeteoSchweiz, A.1
  • 25
    • 84960941759 scopus 로고    scopus 로고
    • Accessed 3 February 2016
    • MeteoSchweiz, 2013: RhiresD-Gridded data of daily precipitation in Switzerland. Accessed 3 February 2016. [Available online at http://www.meteoswiss.admin.ch/content/dam/meteoswiss/de/serviceund-publikationen/produkt/raeumliche-daten-niederschlag/doc/ProdDoc_RhiresD.pdf.]
    • (2013) RhiresD-Gridded data of daily precipitation in Switzerland
  • 26
    • 84880881867 scopus 로고    scopus 로고
    • Projections of extreme precipitation events in regional climate simulations for Europe and the Alpine region
    • Rajczak, J., P. Pall, and C. Schär, 2013: Projections of extreme precipitation events in regional climate simulations for Europe and the Alpine region. J. Geophys. Res. Atmos., 118, 3610-3626, doi:10.1002/jgrd.50297.
    • (2013) J. Geophys. Res. Atmos , vol.118 , pp. 3610-3626
    • Rajczak, J.1    Pall, P.2    Schär, C.3
  • 27
    • 84899928353 scopus 로고    scopus 로고
    • Evaluation of delta change and bias correction methods for future daily precipitation: Intermodel cross-validation using ENSEMBLES simulations
    • Räty, O., J.Räisänen, and J.Ylhäisi, 2014: Evaluation of delta change and bias correction methods for future daily precipitation: Intermodel cross-validation using ENSEMBLES simulations. Climate Dyn., 42, 2287-2303, doi:10.1007/s00382-014-2130-8.
    • (2014) Climate Dyn , vol.42 , pp. 2287-2303
    • Räty, O.1    Räisänen, J.2    Ylhäisi, J.3
  • 28
    • 0019353887 scopus 로고
    • Stochastic simulation of daily precipitation, temperature, and solar radiation
    • Richardson, C. W., 1981: Stochastic simulation of daily precipitation, temperature, and solar radiation. Water Resour. Res., 17, 182-190, doi:10.1029/WR017i001p00182.
    • (1981) Water Resour. Res , vol.17 , pp. 182-190
    • Richardson, C.W.1
  • 29
    • 84906778752 scopus 로고    scopus 로고
    • Statistical downscaling of general circulation model outputs to precipitation-Part 2: Bias-correction and future projections
    • Sachindra, D. A., F. Huang, A. Barton, and B. J. C. Perera, 2014: Statistical downscaling of general circulation model outputs to precipitation-Part 2: Bias-correction and future projections. Int. J. Climatol., 34, 3282-3303, doi:10.1002/joc.3915.
    • (2014) Int. J. Climatol , vol.34 , pp. 3282-3303
    • Sachindra, D.A.1    Huang, F.2    Barton, A.3    Perera, B.J.C.4
  • 30
    • 0032516937 scopus 로고    scopus 로고
    • Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates
    • Semenov, M. A., R. J. Brooks, E. M. Barrow, and C. W. Richardson, 1998: Comparison of the WGEN and LARS-WG stochastic weather generators for diverse climates. Climate Res., 10, 95-107, doi:10.3354/cr010095.
    • (1998) Climate Res , vol.10 , pp. 95-107
    • Semenov, M.A.1    Brooks, R.J.2    Barrow, E.M.3    Richardson, C.W.4
  • 31
    • 84860684669 scopus 로고    scopus 로고
    • An overview of CMIP5 and the experiment design
    • Taylor, K. E., R. J. Stouffer, and G. A. Meehl, 2012: An overview of CMIP5 and the experiment design. Bull. Amer. Meteor. Soc., 93, 485-498, doi:10.1175/BAMS-D-11-00094.1.
    • (2012) Bull. Amer. Meteor. Soc , vol.93 , pp. 485-498
    • Taylor, K.E.1    Stouffer, R.J.2    Meehl, G.A.3
  • 32
    • 84864361017 scopus 로고    scopus 로고
    • Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods
    • Teutschbein, C., and J. Seibert, 2012: Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. J. Hydrol., 456-457, 12-29, doi:10.1016/j.jhydrol.2012.05.052.
    • (2012) J. Hydrol , vol.456-457 , pp. 12-29
    • Teutschbein, C.1    Seibert, J.2
  • 33
    • 79960724856 scopus 로고    scopus 로고
    • Empiricalstatistical downscaling and error correction of daily precipitation from regional climate models
    • Themeßl, M., A. Gobiet, and A. Leuprecht, 2011: Empiricalstatistical downscaling and error correction of daily precipitation from regional climate models. Int. J. Climatol., 31, 1530-1544, doi:10.1002/joc.2168.
    • (2011) Int. J. Climatol , vol.31 , pp. 1530-1544
    • Themeßl, M.1    Gobiet, A.2    Leuprecht, A.3
  • 34
    • 84857437286 scopus 로고    scopus 로고
    • Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal
    • Themeßl, M., A. Gobiet, and G. Heinrich, 2012: Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal. Climatic Change, 112, 449-468, doi:10.1007/s10584-011-0224-4.
    • (2012) Climatic Change , vol.112 , pp. 449-468
    • Themeßl, M.1    Gobiet, A.2    Heinrich, G.3
  • 35
    • 27144554835 scopus 로고    scopus 로고
    • The ERA-40 Re-Analysis
    • Uppala, S.M., and Coauthors, 2005: The ERA-40 Re-Analysis. Quart. J. Roy. Meteor. Soc., 131, 2961-3012, doi:10.1256/qj.04.176.
    • (2005) Quart. J. Roy. Meteor. Soc , vol.131 , pp. 2961-3012
    • Uppala, S.M.1
  • 37
    • 0033507337 scopus 로고    scopus 로고
    • On the use of "inflation" in statistical downscaling
    • von Storch, H., 1999:On the use of "inflation" in statistical downscaling. J. Climate, 12, 3505-3506, doi:10.1175/1520-0442(1999)012<3505: OTUOII>2.0.CO;2.
    • (1999) J. Climate , vol.12 , pp. 3505-3506
    • von Storch, H.1
  • 38
    • 84884699956 scopus 로고    scopus 로고
    • Multi-variable error correction of regional climate models
    • Wilcke, R., T. Mendlik, and A. Gobiet, 2013: Multi-variable error correction of regional climate models. Climatic Change, 120, 871-887, doi:10.1007/s10584-013-0845-x.
    • (2013) Climatic Change , vol.120 , pp. 871-887
    • Wilcke, R.1    Mendlik, T.2    Gobiet, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.