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We have compiled list of scientific papers, conference presentations and other reports of research using TIGGE data. We survey the literature every year or so to update the list, but we encourage all researchers using TIGGE data to inform us, so that we can publicise your work more quickly via this website.

Info
titleHow to refer to TIGGE in a paper

TIGGE DOI for scientific papers: https://doi.org/10.1175/2010BAMS2853.1

Please use the following acknowledgement to refer to TIGGE:
"This work is based on TIGGE data. TIGGE (The Interactive Grand Global Ensemble) is an initiative of the World Weather Research Programme (WWRP).”

It is important to mention the data source of your research to be able to keep the TIGGE project alive for longer.

Regarding dataset source, please cite:


Table of Contents
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2019 2018 2017 2016 2015 2014  2013  2012  2011  2010  2009  2008  2007  2006  2005

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

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  • 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

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