Short-range probabilistic forecasts from the Norwegian limited-area EPS: long-term validation and a polar low study
References
-
Bishop
, C. H., Etherton, B. J.and Majundar, S. J. 2001. Adaptive sam-pling with the ensemble transform Kalman filter. Part I: theoretical aspects. Mon. Wea.Re v. 129, 420– 436. -
Boer
, G. J. 2003. Predictability as a function of scale. Atmos-Ocean, 203– 215. -
Bojarova
, J., Gustafsson, N., Johansson, A.and Vignes, O. N.. The ETKF resealing scheme in HIRLAM., this issue. -
Bowler
, N. E. 2006. Comparison of error breeding, singular vectors, ran-dom perturbations and ensemble Kalman filter perturbation strategies on a simple model. Tellus, 538– 548. -
Bowler
, N. E. 2006. Explicitily accounting for observation error in categorical verification of forecasts. Mon. Wea. Re v. 134, 1600– 1606. -
Bowler
, N. E., Arribas, A.and Mylne, K. R. 2008. The MOGREPS ensemble prediction system. Q.J.R. Meteorol. Soc. 134, 703– 722. -
Bowler
, N. E.and Mylne, K. R. 2009. Ensemble transform Kalman filter perturbations for a regional ensemble prediction system. Q.J.R. Meteorol. Soc. 135, 757– 766. -
Bratseth
, A. M. 1985. A note on CISK in polar air masses. Tellus, 403– 406. -
Buizza
, R. 1994. Localization of optimal perturbations using a projection operator. Q.J.R. Meteorol. Soc. 120, 1647– 1681. -
Buizza
, R.and Palmer, T. N. 1995. The Singular-Vector Structure of the Atmospheric Global Circulation.. 52, 1434– 1456. -
Buizza
, R., Tribbia, J., Molteni, Eand Palmer, T., 388- 407. -
Buizza
, R., Miller, M.and Palmer, T. N. 1999. Stochastic representation of model uncertainties in the ECMWF ensemble prediction system. Q.J.R. Meteorol. Soc. 125, 2887– 2908. -
Calvo
, J. 2007. Kain-Fritsch convection in HIRLAM. Present status and prospects., 57- 64http://hirlam.org/index.php?option=com_content&view=artiele&id=64&Itemid=101 . -
Du
, J., Mullen, S. L.and Sanders, F. 1997. Short-range ensem-ble forecasting of quantitive precipitation. Mon. Weather Re v. 125, 2427– 2459. -
Du
, J., DiMego, G., Tracton, M. S.and Thou, B. 2003. NCEP short-range ensemble forecasting (SREF) system: multi-IC, multi-model and multi-physics approach., Re-port 33, CAS/JSC Working Group Numerical Experimenta-tion (VVGNE), WMO/T’D-No. 1161, 5.09-5.10. Available at:http://www.eme.neep.noaa.gov/mmb/SREF/srefVVM0_2003.pdf . -
Emanuel
, K. A.and Rotunno, R. 1989. Polar lows as arctic hurricanes. Tellus, 1– 17. -
Ferro, C.
, Richardson, D. S.and Weigel, A. P. 2008. On the effect of ensemble size on the discrete and continuous ranked probability scores. Metorol. AppL, 19– 24. -
Frogner
, I.-L.and Iversen, T. 2001. Targeted ensemble prediction for northern Europe and parts of the North Atlantic Ocean. Taus, 35– 55. -
Frogner
, I.-L.and Iversen, T. 2002. High-resolution limited area en-semble predictions based on low-resolution targeted singular vectors. Q.J.R. Meteorol. Soc. 128, 1321– 1341. -
Frogner
, I.-L.and Iversen, T. 2011. EuroTEPS - A targeted version of ECMWF EPS for the European area., this issue. -
Frogner
, I.-L., Haakenstad, H.and Iversen, T. 2006. Limited-area en-semble predictions at the Norwegian Meteorolgical Institute. Q.J.R. MetoroL Soc. 132, 2785– 2808. -
Garcia-Moya
, J. A., Callado, A., Santos, C., Santos, D.and Simarro, J. 2007. Multi-model ensemble for short-range predictability.. -
Gustafsson
, N., Berre, L., Hörnquist, S., Huang, X.-Y., Lindskog, M.and co-authors. 2001. Three-dimensional variational data assimilation for a limited area model. Part I: general formulation and the background error constraint., 425- 446. -
Hagedorn
, R., Doblas-Reyes, E J.and Palmer, T. N. 2005. The rationale behind the success of multi-model ensembles in seasonal forecasting. Part I: basic concepts. Tellus, 219– 233. -
Hamill
, T. M.and Colucci, S. J. 1997. Verification of eta-RSM short-range forecasts. Mon. Weather Re v. 125, 1312– 1327. -
Hersbach
, H. 2000. Decomposition of the Continuous Ranked Probabil-ity Score for Ensemble Prediction Systems. Am. Meteorol. Soc. 15, 559– 570. -
Ivarsson
, K.-I. 2007. The Rasch Kristjansson large scale con-densation. Present status and prospects.. 52, 50- 56http://hirlam.org/index.php?option=com_content&view=artiele&id=64&Itemid=101 . -
Iversen
, T., Bremnes, J. B., Santos, C., Deckmyn, A., Feddersen, H.and co-authors. 2011. A grand LAM-EPS (GLAMEPS) for operational use., this issue. -
Jensen
, M. H., Frogner, I-L., Iversen, T.and Vignes, O. N.. Limited area ensemble forecasting in Norway using targeted EPS.. 107, 23- 29. -
Joliffe
, I. T.and Stephenson, D. B. 2003. In:, John Wiley and Sons, Chichester. -
Kain
, J. S. 2004. The Kain-Fritsch Convective Parameterization. An Update. J. AppL Meteor, 170– 181. -
Kolstad
, E. W. 2006. A new climatology of favourable conditions for reverse-shear polar lows. Tellus, 344– 354. -
Kolstad
, E. W.and Bracegirdle, T. J. 2008. Marine cold-air outbreaks in the future: an assesment of IPCC AR4 model results for the Northern Hemisphere. Clim. Dyn. 30, 871– 885. -
Kristiansen
, J., Sorland, S. L., Iversen, T., Bjorge, D.and Koltzow, M.O. 2011. High-resolution ensemble prediction of a polar low de-velopment., this issue. -
Kristjánsson
, J.-E., Barstad, I., Hov, O., Irvine, E., Iversen, T.and co-authors. 2010.., submitted. -
Linders
, T.and Swtra, O.. Can Cape Maintain Polar Lows?.. 67( 8), 2559- 2571. -
Lindskog
, M., Gustafsson, N., Navascues, B., Mogensen, K. S., Huang, X.-Y.and co-authors. 2001. Three-dimensional variational data as-similation for a limited area model. Part II: observation handling and assimilation experiments., 447- 468. -
Lorenz
, E. N. 1982. Atmospheric predictability experiments with a large numerical model. Tellus, 505– 513. -
Mann
, H. B.and Whitney, D. R. 1947. On a test of whether one of two random variables is stochastically larger than the other. Ann. Math. Stat. 18, 50– 60. -
Marsigli
, C., Montani, A., Nerozzi, F., Paccagnella, T., Tibaldi, S.and co-authors. 2001. A strategy for high-resolution ensemble prediction. II: limited-area experiments on four Alpine flood events. Q.J.R. Meteorol. Soc. 127, 2095-211 5. -
Marsigli
, C., Boccanera, F., Montani, A.and Paccagnella, T. 2005. The COSMO-LEPS mesoscale ensemble prediction system: validation of the methodology and verification. Nonlinear Processes in Geophysics, 527– 536. -
Mason
, I. 1982. A model for assesment of weather forecasts. Austr Meteorol. Mag. 30, 2069– 2094. -
Molteni
, F., Buizza, R., Palmer, T. N.and Petroliagis, T. 1996. The ECMWF ensemble prediction system: methodology and validation. Q.J.R. Meteorol. Soc. 122, 73– 119. -
Molteni
, F., Buizza, R., Marsigli, C., Montani, A., Nerozzi, F.and co-authors. 2001. A strategy for high-resolution ensemble prediction I: definition of representative members and global-model experiments. Q.J.R. Meteorol. Soc. 127, 2013-203 3. -
Montgomery
, M. T.and Farrell, B. F. 1992. Polar Low Dynamics.. 49, 2484– 2505. -
Mullen
, S. L.and Buizza, R. 2002. The impact of horizontal resolution and ensemble size on probabilistic forecasts of precipitation by the ECMWF Ensemble Prediction System. Weather and Forecasting, 173– 191. -
Okland
, H. 1977. On the intensification of small-scale cyclones formed in very cold air masses heated by the ocean. Institute Report Series , University of Oslo, Department of Geophysics. -
Rabbe
, A. 1975. Arctic instability lows. Meteorologiske Annaler, 303– 329. -
Rasch
, P. J.and Kristjánsson, J. E. 1998. A comparison of the CCM3 model climate using diagnosed and predicted condensate parameter-izations. J. Climate, 1587– 1614. -
Rasmussen
, E. A.and Turner, J. 2003. In:, Cambridge University Press, Cambridge. -
Swtra
, O., Hersbach, H., Bidlot, J-R.and Richardson, D. S.. 132, 1487- 1501. -
Simmons
, A.and Hollingsworth, A. 2002. Some aspects of the improve-ments in skill of numerical weather prediction. Q.J.R. Meteorol. Soc. 128, 647– 677. -
Stensrud
, D. J., Brooks, H. E., Du, J., Tracton, M. S.and Rogers, E. 1999. Using ensembles for short-range forecasting. Mon. Weather Re v. 127, 433– 446. -
Toth
, Z.and Kalnay, E. 1993. Ensemble forecasting at NMC: the generation of perturbations. Bull. Am. Meteorol. Soc. 74, 2317– 2330. -
Toth
, Z.and Kalnay, E. 1997. Ensemble forecasting at NCEP and the breeding method. Mon. Wea. Re v, 3297– 3319. -
Unden
, R, Rontu, L., Järvinen, H., Lynch, P., Calvo, J.and co-authors. 2002. HIRLAM-5 Scientific Documentation HIRLAM-5 Project. Available from SMHI, S-601 767Norrkoping, Sweden. -
Walser
, A., Liithi, D.and Schär, C. 2004. Predictability of precipitation in a cloud-resolving model. Mon. Weather Re v. 132, 560– 577. -
Weigel
, A. P., Liniger, M. A.and Appenzeller, C. 2008. Can multi-model combination really enhance the prediction skill of prob-abilistic ensemble forecasts?. Q.J.R. Meteorol. Soc. 134, 241– 260. -
Weigel
, A. P.and Bowler, N. E. 2009. Comment on ‘Can multi-model combination really enhance the prediction skill of prob-abilistic ensemble forecasts?’. Q.J.R. Meteorol. Soc. 135, 535– 539. -
Yanase
, W.and Niino, H. 2005. Effects of baroclinicity on the cloud pattern and structure of polar lows: a high-resolution numerical exper-iment. Geophys. Res. Lett. 32, L02806, 10.1029/2004GL020469. -
Yue
, S.and Wang, C.-Y. 2002. The influence of serial correlation in the Mann-Whitney test for detecting a shift in median. Adv. Water Res. 25, 325– 333.
DOI: https://doi.org/10.1111/j.1600-0870.2010.00502.x | Journal eISSN: 3035-9554
Language: English
Page range: 564 - 584
Submitted on: Aug 13, 2010
Accepted on: Dec 10, 2010
Published on: Jan 1, 2011
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2011 Trygve Aspelien, Trond Iversen, John Bjørnar Bremnes, Inger-Lise Frogner, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.