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Scale-dependent estimates of the growth of forecast uncertainties in a global prediction system Cover

Scale-dependent estimates of the growth of forecast uncertainties in a global prediction system

Open Access
|Jan 2017

References

  1. Bengtsson , L. K. , Magnusson , L. and Källén , E. 2008 . Independent estimations of the asymptotic variability in an ensemble forecast system . Mon. Weather Rev. 136 , 4105 4112 .
  2. Buizza , R. , Leutbecher , M. and Isaksen , L. 2008 . Potential use of an ensemble of analyses in the ECMWF Ensemble Prediction System . Q. J. Roy. Meteor. Soc. 134 , 2051 2066 .
  3. Buizza , R. , Miller , M. and Palmer , T. N. 1999 . Stochastic representation of model uncertainties in the ECMWF EPS . Q. J. Roy. Meteor. Soc. 125 , 2887 2908 .
  4. Buizza , R. and Leutbecher , M. 2015 . The forecast skill horizon . Q. J. Roy. Meteor. Soc. 141 , 3366 3382 .
  5. Dalcher , A. and Kalnay , E. 1987 . Error growth and predictability in operational ECMWF forecasts . Tellus 39A , 474 491 .
  6. Düben , P. D. , Joven , J. , Lingamneni , A. , McNamara , H. , De Micheli , G. , and co-authors. 2014 . On the use of inexact, pruned hardware in atmospheric modelling . Philos. Trans. Roy. Soc. London A . 372 ( 2018 ), 20130276 . doi: 10.1098/rsta.2013.0276 . Online at: https://www.ncbi.nlm.nih.gov/pubmed/24842031
  7. Haiden , T. and co-authors. 2014 . Evaluation of ECMWF forecasts, including 2013--2014 upgrades . ECMWF Tech. Memorandum . 742 . Online at: http://www.ecmwf.int
  8. Harlem , J. , Oczkowski , M. , Yorke , J. A. , Kalnay , E. and Hunt , B. R. 2005 . Convex error growth patterns in a global weather model . Phys. Rev. Lett. 94 , 228501 . Online at: https://www.ncbi.nlm.nih.gov/pubmed/16090440
  9. Herrera , M. , Szunyogh , I. and Tribbia , J. 2016 . Forecast uncertainty dynamics in the THORPEX Interactive Grand Global Ensemble (TIGGE) . Mon. Weather Rev. 144 , 2739 2766 .
  10. Isaksen , L. , Bonavita , M. , Buizza , R. , Fisher , M. , Haseler , J. and co-authors. 2010 . Ensemble of data assimilations at ECMWF . ECMWF Tech. Memorandum 636 . Online at: http://www.ecmwf.int
  11. Jung , T. and Leutbecher , M. 2008 . Scale-dependent verification of ensemble forecasts . Q. J. Roy. Meteor. Soc. 134 , 973 984 .
  12. Kasahara , A. 1976 . Normal modes of ultralong waves in the atmosphere . Mon. Weather Rev. 104 , 669 690 .
  13. Kuhl , D. , Szunyogh , I. , Kostelich , E. J. , Patil , D. J. , Gyarmati , G. and co-authors. 2007 . Assessing predictability with a local ensemble Kalman filter . J. Atmos. Sci. 64 , 1116 1140 .
  14. Leith , C. E. 1978 . Objective methods for weather prediction . Annu. Rev. Fluid Mech. 10 , 107 128 .
  15. Lorenz , E. 1982 . Atmospheric predictability experiments with a large numerical model . Tellus 34 , 505 513 .
  16. Lorenz , E. 1996 . Predictability -- a problem partly solved . In: Predictability of Weather and Climate (eds. T. Palmer and R. Hagedorn ). Cambridge : Cambridge University Press , pp. 40 58 .
  17. Magnusson , L. and Källén , E. 2013 . Factors influencing skill improvements in the ECMWF forecasting system . Mon. Weather Rev. 141 , 3142 3153 .
  18. Murphy , A. H. and Epstein , E. S. 1989 . Skill scores and correlation coefficients in model verification . Mon. Weather Rev. 117 , 572 582 .
  19. Palmer , T. N. and co-authors. 2009 . Stochastic parametrization and model uncertainty . ECMWF Tech. Memo . 598 . Online at: http://www.ecmwf.int
  20. Park , Y.-Y. , Buizza , R. and Leutbecher , M. 2008 . TIGGE: Preliminary results on comparing and combining ensembles . Q. J. Roy. Meteor. Soc. 134 , 2029 2050 .
  21. 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 .
  22. Reynolds , C. A. , Webster , P. J. and Kalnay , E. 1994 . Random error growth in NMC’s global forecasts . Mon. Weather Rev. 122 , 1281 1305 .
  23. Savijärvi , H. 1995 . Error growth in a large numerical forecast system . Mon. Weather Rev. 123 , 212 221 .
  24. Shutts , G. J. 2005 . A kinetic energy backscatter algorithm for use in ensemble prediction systems . Q. J. Roy. Meteorol. Soc. 131 , 3079 3100 .
  25. Simmons , A. J. , Moreau , R. and Petroliagis , T. 1995 . Error growth and predictability estimates for the ECMWF forecasting system . Q. J. Roy. Meteorol. Soc. 121 , 1739 1771 .
  26. Simmons , A. J. and Hollingsworth , A. 2002 . Some aspects of the improvement in skill of numerical weather prediction . Q. J. Roy. Meteor. Soc. 128 , 647 677 .
  27. Simmons , A. 2006 . Observations, assimilation and the improvement of global weather prediction -- some results from operational forecasting and ERA-40 . In: Predictability of Weather and Climate (eds. T. Palmer and R. Hagedorn ). Cambridge : Cambridge University Press , pp. 428 458 .
  28. Žagar , N. , Buizza , R. and Tribbia , J. 2015a . A three-dimensional multivariate modal analysis of atmospheric predictability with application to the ECMWF ensemble . J. Atmos. Sci. 72 , 4423 4444 .
  29. Žagar , N. , Kasahara , A. , Terasaki , K. , Tribbia , J. and Tanaka , H. 2015b . Normal-mode function representation of global 3D datasets: An open-access software for atmospheric research community . Geosci. Model Dev. 8 , 1169 1195 .
Language: English
Page range: 1287492 - 1287492
Submitted on: Jun 2, 2016
Accepted on: Jan 12, 2017
Published on: Jan 1, 2017
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2017 Nedjeljka Žagar, Martin Horvat, Žiga Zaplotnik, Linus Magnusson, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.