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(* below means number of articles weakly related to TIGGE)

2017

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2017
2017

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  • Campbell, W.F., E.A. Satterfield, B. Ruston, and N.L. Baker (2017), Accounting for Correlated Observation Error in a Dual-Formulation 4D Variational Data Assimilation System, Monthly Weather Review
  • Leonardo, N.M. and B.A. Colle (2017), Verification of Multimodel Ensemble Forecasts of North Atlantic Tropical Cyclones, Weather and Forecasting
  • Loeser, C.F., M.A. Herrera, and I. Szunyogh (2017), An Assessment of the Performance of the Operational Global Ensemble Forecast Systems in Predicting the Forecast Uncertainty, Weather and Forecasting
  • Parsons, D.B., M. Beland, D. Burridge, P. Bougeault, G. Brunet, J. Caughey, S.M. Cavallo, M. Charron, H.C. Davies, A.D. Niang, V. Ducrocq, P. Gauthier, T.M. Hamill, P.A. Harr, S.C. Jones, R.H. Langland, S.J. Majumdar, B.N. Mills, M. Moncrieff, T. Nakazawa, T. Paccagnella, F. Rabier, J. Redelsperger, C. Riedel, R.W. Saunders, M.A. Shapiro, R. Swinbank, I. Szunyogh, C. Thorncroft, A.J. Thorpe, X. Wang, D. Waliser, H. Wernli, and Z. Toth (2017): THORPEX Research and the Science of Prediction. Bull. Amer. Meteor. Soc., 98, 807–830, https://doi.org/10.1175/BAMS-D-14-00025.1

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Martínez-Alvarado, O., Madonna, E., Gray, S. L. and Joos, H. (2016), A route to systematic error in forecasts of Rossby waves. Q.J.R. Meteorol. Soc., 142: 196–210. doi:10.1002/qj.2645

Lee, H.-J., Lee, W.-S. and Yoo, J. H. (2016), Assessment of medium-range ensemble forecasts of heat waves. Atmos. Sci. Lett., 17: 19–25. doi:10.1002/asl.593

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  • Quandt, L., J.H. Keller, O. Martius, and S.C. Jones (2017), Forecast Variability of the Blocking System over Russia in Summer 2010 and Its Impact on Surface Conditions, Weather and Forecasting
  • Satterfield, E., D. Hodyss, D.D. Kuhl, and C.H. Bishop (2017), Investigating the Use of Ensemble Variance to Predict Observation Error of Representation, Monthly Weather Review
  • Vikram Khade, Jaison Kurian, Ping Chang, Istvan Szunyogh, Kristen Thyng, Raffaele Montuoro, 2017. Oceanic ensemble forecasting in the Gulf of Mexico: An application to the case of the Deep Water Horizon oil spill. Ocean Modelling, Volume 113, 171–184. http://www.sciencedirect.com/science/article/pii/S1463500317300525
  • Ying, Y. and F. Zhang (2017), Practical and Intrinsic Predictability of Multiscale Weather and Convectively Coupled Equatorial Waves during the Active Phase of an MJO, Journal of the Atmospheric Sciences
  • Yamaguchi, M., J. Ishida, H. Sato, and M. Nakagawa (2017), WGNE Intercomparison of Tropical Cyclone Forecasts by Operational NWP Models: A Quarter Century and Beyond, Bulletin of the American Meteorological Society
  • Yamaguchi, M. and N. Koide (2017), Tropical Cyclone Genesis Guidance Using the Early Stage Dvorak Analysis and Global Ensembles, Weather and Forecasting
  • Zheng, M., E.K. Chang, B.A. Colle, Y. Luo, and Y. Zhu (2017), Applying Fuzzy Clustering to a Multimodel Ensemble for U.S. East Coast Winter Storms: Scenario Identification and Forecast Verification, Weather and Forecasting
  • Xiping Zhang and Hui Yu (2017), A Probabilistic Tropical Cyclone Track Forecast Scheme Based on the Selective Consensus of Ensemble Prediction Systems, Weather and Forecasting

2016
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2016
2016

  • Bauer, P., Magnusson, L., Thépaut, J.-N. and Hamill, T. M. (2016), Aspects of ECMWF model performance in polar areas. Q.J.R. Meteorol. Soc., 142: 583–596. doi:10.1002/qj.2449

Jung, T. and Matsueda, M. (2016), Verification of global numerical weather forecasting systems in polar regions using TIGGE data. Q.J.R. Meteorol. Soc., 142: 574–582. doi:10.1002/qj.2437

  • Chen, P., Yu, H., Brown, B., Chen, G. and Wan, R. (2016), A probabilistic climatology-based analogue intensity forecast scheme for tropical cyclones. Q.J.R. Meteorol. Soc., 142: 2386–2397. doi:10.1002/qj.2831
  • Don, P.K., J.L. Evans, F. Chiaromonte, and A.M. Kowaleski (2016), Mixture-Based Path Clustering for Synthesis of ECMWF Ensemble Forecasts of Tropical Cyclone Evolution, Monthly Weather Review
  • Dong, L. and F. Zhang (2016), OBEST: An Observation-Based Ensemble Subsetting Technique for Tropical Cyclone Track Prediction, Weather and Forecasting
  • Du, Y., Qi, L. and Cao, X. (2016), Selective ensemble-mean technique for tropical cyclone track forecast by using time-lagged ensemble and multi-centre ensemble in the western North Pacific. Q.J.R. Meteorol. Soc., 142: 2452–2462. doi:10.1002/qj.2838

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  • Halperin, D.J., H.E. Fuelberg, R.E. Hart, and J.H. Cossuth (2016), Verification of Tropical Cyclone Genesis Forecasts from Global Numerical Models: Comparisons between the North Atlantic and Eastern North Pacific Basins, Weather and Forecasting
  • Herrera, M.A., I. Szunyogh, and J. Tribbia (2016), Forecast Uncertainty Dynamics in the THORPEX Interactive Grand Global Ensemble (TIGGE), Monthly Weather Review
  • Jung, T., N.D. Gordon, P. Bauer, D.H. Bromwich, M. Chevallier, J.J. Day, J. Dawson, F. Doblas-Reyes, C. Fairall, H.F. Goessling, M. Holland, J. Inoue, T. Iversen, S. Klebe, P. Lemke, M. Losch, A. Makshtas, B. Mills, P. Nurmi, D. Perovich, P. Reid, I.A. Renfrew,  G. Smith, G. Svensson, M. Tolstykh, and Q. Yang2016),  Advancing Polar Prediction Capabilities on Daily to Seasonal Time Scales, Bulletin of the American Meteorological Society
  • Kowaleski, A.M. and J.L. Evans (2016), Regression Mixture Model Clustering of Multimodel Ensemble Forecasts of Hurricane Sandy: Partition Characteristics, Monthly Weather Review
  • Lee, H.-J., Lee, W.-S. and Yoo, J. H. (2016), Assessment of medium-range ensemble forecasts of heat waves. Atmos. Sci. Lett., 17: 19–25. doi:10.1002/asl.593
  • Tsing-Chang Chen, Jenq-Dar Tsay, Eugene S. Takle (2016), A Forecast Advisory for Afternoon Thunderstorm Occurrence in the Taipei Basin during Summer Developed from Diagnostic Analysis, Weather and Forecasting
  • Zhou, B. and P. Zhai (2016), A New Forecast Model Based on the Analog Method for Persistent Extreme Precipitation, Weather and Forecasting
  • Zsótér, E., F. Pappenberger, P. Smith, R.E. Emerton, E. Dutra, F. Wetterhall, D. Richardson, K. Bogner, and G. Balsamo (2016), Building a Multimodel Flood Prediction System with the TIGGE Archive, Journal of Hydrometeor.

2015
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2015
2015

  • Buizza, R. (2015),

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  • Applicability of the superensemble to the tropical cyclone track forecasts in the western North Pacific. Asia-Pacific Journal of Atmospheric Sciences, 51, 1, 39-48. http://link.springer.com/article/10.1007/s13143-014-0058-x#page-1
  • Frank P. Colby Jr (2015)., Global Ensemble Forecast Tracks for Tropical Storm Debby, Weather and Forecasting
  • Khan, M., A. Shamseldin, B. Melville, M. and Shoaib (2015),

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  • (2015),

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  • Development of NWP-Based Cyclone Prediction System for Improving Cyclone Forecast Service in the Country. In High-Impact Weather Events over the SAARC Region, pp. 111-128. Springer International Publishing, http://scholar.google.com/scholar?start=80&q=TIGGE+data&hl=en&as_sdt=0,5&as_ylo=2014
  • Munehiko Yamaguchi, Frédéric Vitart, Simon T. K. Lang, Linus Magnusson, Russell L. Elsberry, Grant Elliott, Masayuki Kyouda, Tetsuo Nakazawa (2015), Global Distribution of the Skill of Tropical Cyclone Activity Forecasts on Short- to Medium-Range Time Scales, Weather and Forecasting
  • Rajul Pandya, Abraham Hodgson, Mary H. Hayden, Patricia Akweongo, Thomas Hopson, Abudulai Adams Forgor, Tom Yoksas, Maxwell Ayindenaba Dalaba, Vanja Dukic, Roberto Mera, Arnaud Dumont, Kristen McCormack, Dominic Anaseba, Timothy Awine, Jennifer Boehnert, Gertrude Nyaaba, Arlene Laing, Fredrick Semazzi (2015), Using Weather Forecasts to Help Manage Meningitis in the West African Sahel, Bulletin of the American Meteorological Society
  • Ruoyun Niu, Panmao Zhai, Baiquan Zhou (2015), Evaluation of Forecast Performance of Asian Summer Monsoon Low-Level Winds Using the TIGGE Dataset, Weather and Forecasting
  • Swinbank, R., M. Kyouda, P. Buchanan, L. Froude, T. Hamill, T. Hewson, J. Keller, M. Matsueda, J. Methven, F. Pappenberger, M. Scheuerer, H. Titley, L. Wilson, and M. Yamaguchi (2015),

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  • 2015. Ensemble forecast of solar radiation using TIGGE weather forecasts and HelioClim database. Solar Energy 120, 232–243. https://hal-mines-paristech.archives-ouvertes.fr/hal-01184650/document
  • Shoujuan Shu, Fuqing Zhang (2015), Influence of Equatorial Waves on the Genesis of Super Typhoon Haiyan (2013), Journal of the Atmospheric Sciences
  • Yang, Q., S. N. Losa, M. Losch, T. Jung, and L. Nerger, (2015

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  • ), The role of atmospheric uncertainty in Arctic summer sea ice data assimilation and prediction. Quarterly Journal of the Royal Meteorological Society. e-View, doi: 10.1002/qj.2523, http://onlinelibrary.wiley.com/doi/10.1002/qj.2523/abstract
  • William A. Komaromi, Sharanya J. Majumdar (2015), Ensemble-Based Error and Predictability Metrics Associated with Tropical Cyclogenesis. Part II: Wave-Relative Framework, Monthly Weather Review
  • Zhou, B. Q., R. Y. Niu, and P. M. Zhai (2015),

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2014 (33, *0)
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2014
2014

2013 (21,*8)
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2013
2013

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2012 (18, *5)
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2012
2012

2011 (24, *7)
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2011
2011

  • Colle, B. A., M. E. Charles, 2011: Spatial Distribution and Evolution of Extratropical Cyclone Errors over North America and its Adjacent Oceans in the NCEP Global Forecast System Model. Weather & Forecasting. Apr2011, Vol. 26 Issue 2, p129-149. http://journals.ametsoc.org/doi/abs/10.1175/2010WAF2222422.1
  • Cuo, L., T. C. Pagano, Q. J. Wang, 2011: A Review of Quantitative Precipitation Forecasts and Their Use in Short- to Medium-Range Streamflow Forecasting. Journal of ydrometeorology. Volume 12, Issue 5 (October 2011) pp. 713-728 doi: http://dx.doi.org/10.1175/2011JHM1347.1
  • Du, J., and B. Zhou, 2011: A Dynamical Performance-Ranking Method for Predicting Individual Ensemble Member Performance and Its Application to Ensemble Averaging. Monthly Weather Review. Oct2011, Vol. 139 Issue 10, p3284-3303. http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-10-05007.1
  • Dupont, T., M. Plu, P. Caroff, G. Faure, 2011: Verification of Ensemble-Based Uncertainty Circles around Tropical Cyclone Track Forecasts. Weather & Forecasting, Oct2011, Vol. 26 Issue 5, p664-676. http://journals.ametsoc.org/doi/abs/10.1175/WAF-D-11-00007.1
  • Frame, T. H. A., M. H. P. Ambaum, S. L. Gray, and J. Methven, 2011, Ensemble prediction of transitions of the North Atlantic eddy-driven jet. Q.J.R. Meteorol. Soc., 137, 1288-1297. doi: 10.1002/qj.829 http://onlinelibrary.wiley.com/doi/10.1002/qj.829/abstract
  • Froude, L. S. R., 2011: TIGGE: Comparison of the Prediction of Southern Hemisphere Extratropical Cyclones by Different Ensemble Prediction Systems. Weather and Forecasting, 26,388-398. http://journals.ametsoc.org/doi/abs/10.1175/2010WAF2222457.1
  • Grams, C. M., Wernli, H., Bottcher, M., Campa, J., Corsmeier, U., Jones, S. C., Keller, J. H., Lenz, C.-J. and Wiegand, L., 2011, The key role of diabatic processes in modifying the upper-tropospheric wave guide: a North Atlantic case-study, Q.J.R. Meteorol. Soc., 137, 2174-2193. doi: 10.1002/qj.891 http://onlinelibrary.wiley.com/doi/10.1002/qj.891/abstract
  • Hamill, T. M., J. S. Whitaker, M. Fiorino and S. G. Benjamin, 2011, Global Ensemble Predictions of 2009's Tropical Cyclones Initialized with an Ensemble Kalman Filter, Monthly Weather Review, 139 (2), 668-688. doi: http://dx.doi.org/10.1175/2010MWR3456.1
  • Han, J., Q. Ye, Z. Yan, M. Jiao, J. Xia, 2011: Conceptual study on incorporating user information into forecasting systems. Frontiers of Environmental Science & Engineering in China, December 2011, Volume 5, Issue 4, pp 533-542 http://link.springer.com/article/10.1007/s11783-010-0246-6
  • *Hirschberg, P. A., E. Abrams, A. Bleistein, et al.; 2011: A Weather and Climate Enterprise Strategic Implementation Plan for Generating and Communicating Forecast Uncertainty Information. Bulletin of the American Meteorological Society. Dec2011, Vol. 92 Issue 12, p1651-1666. 16p. http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00073.1
  • Kang, S.-D., D. W. Shin, S. Cocke, H.-D. Kim, W.-S. Jung, 2011: Comparison of ensemble methods for summer-time numerical weather prediction over East Asia. Meteorology and Atmospheric Physics, June 2011, Volume 113, Issue 1-2, pp 27-38 http://link.springer.com/article/10.1007/s00703-011-0148-6
  • Keller, J. H., S. C. Jones, J. L. Evans, and P. A. Harr, 2011: Characteristics of the TIGGE multimodel ensemble prediction system in representing forecast variability associated with extratropical transition, Geophys. Res. Lett., 38, L12802, doi:10.1029/2011GL047275
  • Keller, J. D., A. Hense, 2011: A new non-Gaussian evaluation method for ensemble forecasts based on analysis rank histograms. Meteorologische Zeitschrift, Volume 20, Number 2, April 2011 , pp. 107-117(11) http://umd.library.ingentaconnect.com/content/schweiz/mz/2011/00000020/00000002/art00003
  • Kim, S., R. M. Samelson, C. Snyder, 2011, Toward an Uncertainty Budget for a Coastal Ocean Model, Monthly Weather Review, 139 (3), 866-884. doi: http://dx.doi.org/10.1175/2010MWR3352.1
  • Kipling, Z., C. Primo, A. Charlton-Perez, 2011: Spatiotemporal Behaviour of the TIGGE Medium-Range Ensemble Forecasts*. Mon. Wea. Rev., 139, 2561-2571. doi: 10.1175/2010MWR3556.1. http://journals.ametsoc.org/doi/full/10.1175/2010MWR3556.1
  • *Li, X., H. Tian, G. Deng, 2011: Evaluation of the NMC regional ensemble prediction system during the Beijing 2008 Olympic Games. Acta Meteorologica Sinica, October 2011, Volume 25, Issue 5, pp 568-580. http://link.springer.com/article/10.1007/s13351-011-0503-z
  • Majumdar, S. J., Chen, S.-G. and Wu, C.-C., 2011, Characteristics of Ensemble Transform Kalman Filter adaptive sampling guidance for tropical cyclones. Q.J.R. Meteorol. Soc., 137, 503-520. doi: 10.1002/qj.746 http://onlinelibrary.wiley.com/doi/10.1002/qj.746/abstract
  • Matsueda, M., 2011: Predictability of Euro-Russian blocking in summer of 2010, Geophys. Res. Lett., 38, L06801, doi:10.1029/2010GL046557.
  • Matsueda, M., H. Endo, 2011: Verification of medium-range MJO forecasts with TIGGE. Geophys. Res. Lett., 38, L11801, doi:10.1029/2011GL047480. http://www.agu.org/pubs/crossref/2011/2011GL047480.shtml
  • Matsueda, M., M. Kyouda, Z. Toth, H. L. Tanaka, and T. Tsuyuki, 2011: Predictability of an Atmospheric Blocking Event that Occurred on 15 December 2005, Mon. Wea. Rev., 139, 2455-2470.
  • *Mitra, A. K., G R Iyengar, V R Durai, J Sanjay, T N Krishnamurti, A Mishra, D R Sikka, 2011: Experimental real-time multi-model ensemble (MME) prediction of rainfall during monsoon 2008: Large-scale medium-range aspects. Journal of Earth System Science, February 2011, Volume 120, Issue 1, pp 27-52. http://link.springer.com/article/10.1007/s12040-011-0013-5
  • *Rossa, A., K. Liechti, M. Zappa, M. Bruen, U. Germann, G. Haase, C. Keil, P. Krahe, 2011: The COST 731 Action: A review on uncertainty propagation in advanced hydro-meteorological forecast systems. Atmospheric Research, Volume 100, Issues 2–3, May 2011, Pages 150–167 http://dx.doi.org/10.1016/j.atmosres.2010.11.016
  • *Saito, K., M. Hara, M. Kunii, H. Seko, M. Yamaguchi, 2011: Comparison of initial perturbation methods for the mesoscale ensemble prediction system of the Meteorological Research Institute for the WWRP Beijing 2008 Olympics Research and Development Project (B08RDP).Tellus A, Special Issue: Special Issue on probabilistic short-range weather forecasting, Volume 63, Issue 3, pages 445–467, May 2011, DOI: 10.1111/j.1600-0870.2010.00509.x http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0870.2010.00509.x/full
  • *Satterfield, E., I. Szunyogh; 2011: Assessing the Performance of an Ensemble Forecast System in Predicting the Magnitude and the Spectrum of Analysis and Forecast Uncertainties. Monthly Weather Review. Apr2011, Vol. 139 Issue 4, p1207-1223. http://journals.ametsoc.org/doi/abs/10.1175/2010MWR3439.1
  • Schumacher, R. S., 2011, Ensemble-Based Analysis of Factors Leading to the Development of a Multiday Warm-Season Heavy Rain Event, Monthly Weather Review, 139 (9), 3016-3035 doi: http://dx.doi.org/10.1175/MWR-D-10-05022.1
  • Tennant, W. J., G. J. Shutts, A. Arribas, S. A. Thompson, 2011: Using a Stochastic Kinetic Energy Backscatter Scheme to Improve MOGREPS Probabilistic Forecast Skill. Monthly Weather Review. Apr2011, Vol. 139 Issue 4, p1190-1206. http://journals.ametsoc.org/doi/abs/10.1175/2010MWR3430.1
  • *Trevisan A., and L. Palatella,2011: Chaos And Weather Forecasting: The Role of The Unstable Subspace in Predictability and State Estimation Problems. Int. J. Bifurcation Chaos, 21, 3389. DOI: 10.1142/S0218127411030635 http://www.worldscientific.com/doi/abs/10.1142/S0218127411030635
  • Tsai, Hsiao-Chung; Lu, Kuo-Chen; Elsberry, Russell L.; Lu, Mong-Ming; Sui, Chung-Hsiung; 2011: Tropical Cyclone--like Vortices Detection in the NCEP 16-Day Ensemble System over the Western North Pacific in 2008: Application and Forecast Evaluation. Weather & Forecasting. Feb2011, Vol. 26 Issue 1, p77-93. http://journals.ametsoc.org/doi/full/10.1175/2010WAF2222415.1
  • Vannitsem, S., R. Hagedorn, 2011; Ensemble forecast post-processing over Belgium: comparison of deterministic-like and ensemble regression methods. Meteorological Applications, Volume 18, Issue 1, pages 94–104, March 2011, DOI: 10.1002/met.217 http://onlinelibrary.wiley.com/doi/10.1002/met.217/full
  • Wiegand, L., A. Twitchett, C. Schwierz, P. Knippertz, 2011: Heavy Precipitation at the Alpine South Side and Saharan Dust over Central Europe: A Predictability Study Using TIGGE. Weather and Forecasting Volume 26, Issue 6 (December 2011) pp. 957-974 doi: http://dx.doi.org/10.1175/WAF-D-10-05060.1
  • Yamaguchi, M., D. S. Nolan, M. Iskandarani, S. J. Majumdar, M. S. Peng, C. A. Reynolds, 2011, Singular Vectors for Tropical Cyclone–Like Vortices in a Nondivergent Barotropic Framework, Journal of the Atmospheric Sciences, 68 (10), 2273-2291. doi: http://dx.doi.org/10.1175/2011JAS3727.1

 

2010 (16, *0)
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2010
2010

2009 (13, *1)
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2009
2009

2008 (13, *4)
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2008
2008

2007 (3, *1)
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2007
2007

2006 (1, *0)
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2006
2006

2005 (1, *0)
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2005
2005