A global perspective of the limits of prediction skill of NWP models

Nedjeljka Žagar

doi:10.1080/16000870.2017.1317573

A global perspective of the limits of prediction skill of NWP models

Tellus

Volume 69 (2017): Issue 1

By: Nedjeljka Žagar

Open Access

|Jan 2017

Bechtold , P. , Köhler , M. , Jung , T. , Doblas-Reyes , F. , Leutbecher , M. , co-authors . 2008 . Advances in simulating atmospheric variability with the ECMWF model: from synoptic to decadal time-scales . Q. J. R. Meteorol. Soc. 134 , 1337 – 1351 .
Search in Google Scholar Back to article
Buizza , R. and Leutbecher , M. 2015 . The forecast skill horizon . Q. J. R. Meteorol. Soc 141 , 3366 – 3382 .
Search in Google Scholar Back to article
Buizza , R. , Leutbecher , M. and Isaksen , L. 2008 . Potential use of an ensemble of analyses in the ECMWF Ensemble Prediction System . Q. J. R. Meteorol. Soc. 134 , 2051 – 2066 .
Search in Google Scholar Back to article
Dalcher , A. and Kalnay , E. 1987 . Error growth and predictability in operational ECMWF forecasts . Tellus 39A , 474 – 491 .
Search in Google Scholar Back to article
Durran , D. R. and Gingrich , M. 2014 . Atmospheric predictability: why butterflies are not of practical importance . J. Atmos. Sci. 71 , 2476 – 2488 .
Search in Google Scholar Back to article
Durran , D. R. , Reinecke , P. A. and Doyle , J. D. 2013 . Large-scale errors and mesoscale predictability in Pacific Northwest snowstorms . J. Atmos. Sci. 70 , 1470 – 1487 .
Search in Google Scholar Back to article
Hayashi , J. 1981 . Space-time spectral analysis and its applications to atmospheric waves . J. Meteorol. Soc. Japan 60 , 156 – 171 .
Search in Google Scholar Back to article
Isaksen , L. , Bonavita , M. , Buizza , R. , Fisher , M. , Haseler , J. , co-authors 2010 . Ensemble of data assimilations at ECMWF . ECMWF Technical Memorandum No. 636. (Available from ECMWF, Shinfield Park, Reading RG2-9AX, UK) . Online at: http://old.ecmwf.int/publications .
Search in Google Scholar Back to article
Jung , T. and Leutbecher , M. 2008 . Scale-dependent verification of ensemble forecasts . Q. J. R. Meteorol. Soc 134 , 973 – 984 .
Search in Google Scholar Back to article
Kalnay , E. 2003 . Atmospheric Modeling, Data Assimilation and Predictability Cambridge University Press , 341 p .
Search in Google Scholar Back to article
Kleeman , R. 2008 . Limits, variability, and general behaviour of statistical predictability of the midlatitude atmosphere . J. Atmos. Sci. 65 , 263 – 275 .
Search in Google Scholar Back to article
Lorenz , E. 1969 . The predictability of a flow which possess many scales of motion . Tellus XXI , 289 – 307 .
Search in Google Scholar Back to article
Lorenz , E. 1982 . Atmospheric predictability experiments with a large numerical model . Tellus 34 , 505 – 513 .
Search in Google Scholar Back to article
Mapes , B. , Tulich , S. , Nasuno , T. and Satoh , M. 2008 . Predictability aspects of global aqua-planet simulations with explicit convection . J. Meteorol. Soc. Japan 86A , 175 – 185 .
Search in Google Scholar Back to article
Magnusson , L. and Källén , E. 2013 . Factors influencing skill improvements in the ECMWF forecasting system . Mon. Wea. Rev. 141 , 3142 – 3153 .
Search in Google Scholar Back to article
Matsuno , T. 1966 . Quasi-geostrophic motions in the equatorial area . J. Meteorol. Soc. Japan 44 , 25 – 42 .
Search in Google Scholar Back to article
Park , Y.-Y. , Buizza , R. and Leutbecher , M. 2008 . TIGGE: preliminary results on comparing and combining ensembles . Q. J. R. Meteorol. Soc 134 , 2029 – 2050 .
Search in Google Scholar Back to article
Rotunno , R. and Snyder , C. 2008 . A generalization of Lorenz’s model for the predictability of flows with many scales of motion . J. Atmos. Sci. 65 , 1063 – 1076 .
Search in Google Scholar Back to article
Reynolds , C. A. , Webster , P. J. and Kalnay , E. 1994 . Random error growth in NMC’s global forecasts . Mon. Wea. Rev. 122 , 1281 – 1305 .
Search in Google Scholar Back to article
Satterfield , E. and Szunyogh , I. 2011 . Assessing the performance of an ensemble forecast system in predicting the magnitude and the spectrum of analysis and forecast uncertainties . Mon. Wea. Rev. 139 , 1207 – 1223 .
Search in Google Scholar Back to article
Shukla , J. 1981 . Dynamical predictability of monthly means . J. Atmos. Sci. 38 , 2547 – 2572 .
Search in Google Scholar Back to article
Tribbia , J. and Baumhefner , D. P. 2004 . Scale interactions and atmospheric predictability: an updated perspective . Mon. Wea. Rev. 132 , 703 – 713 .
Search in Google Scholar Back to article
Vitart , F. , Buizza , R. , Alonso Balmaseda , M. , Balsamo , G. , Bidlot , J.-R. , co-authors . 2008 . The new VAREPS-monthly forecasting system: a first step towards seamless prediction . Q. J. R. Meteorol. Soc 134 , 1789 – 1799 .
Search in Google Scholar Back to article
Vitart , F. and Molteni , F. 2010 . Simulation of the Madden-Julian Oscillation and its teleconnections in the ECMWF forecast system . Q. J. R. Meteorol. Soc 136 , 842 – 855 .
Search in Google Scholar Back to article
Žagar , N. , Andersson , E. and Fisher , M. 2005 . Balanced tropical data assimilation based on a study of equatorial waves in ECMWF short-range forecast errors . Q. J. R. Meteorol. Soc. 131 , 987 – 1011 .
Search in Google Scholar Back to article
Žagar , N. , Andersson , E. , Fisher , M. and Untch , A. 2007 . Influence of the quasi-biennial oscillation on the ECMWF model short-range forecast errors in the tropical stratosphere . Q. J. R. Meteorol. Soc. 133 , 1843 – 1853 .
Search in Google Scholar Back to article
Žagar , N. , Blaauw , M. , Jesenko , B. and Magnusson , L. 2016 . Diagnosing model performance in the tropics . ECMWF Newsletter 147 , 26 – 33 .
Search in Google Scholar Back to article
Žagar , N. , Buizza , R. and Tribbia , J. 2015 . A three-dimensional multivariate modal analysis of atmospheric predictability with application to the ECMWF ensemble . J. Atmos. Sci. 72 , 4423 – 4444 .
Search in Google Scholar Back to article
Žagar , N. , Isaksen , L. , Tan , D. and Tribbia , J. 2013 . Balance and flow-dependency of background-error variances in the ECMWF 4D-Var ensemble . Q. J. R. Meteorol. Soc. 139 , 1229 – 1238 .
Search in Google Scholar Back to article