Publications [postdocs and students]

  1. M. K. Tippett and E. J. Becker. ENSO-conditioned evolution of global mean surface temperature. Submitted Geophysical Research Letters. 2026
  2. M. L. L'Heureux and M. K. Tippett, Interpretable Relations between Tropical Sea Surface Temperature and US Precipitation in Winter Season Forecasts. Submitted Journal of Climate. 2026
  3. T. DelSole and M. K. Tippett. Comparing climate time series – Part 6: Testing equality of autoregressive parameters without assuming equality of noise variances. Adv. Stat. Clim. Meteorol. Oceanogr., 12, 73-86, 2026. https://doi.org/10.5194/ascmo-12-73-2026
  4. Wenchao Chu, Jorge L. García-Franco, Suzana J. Camargo, Chia-Ying Lee, Michael K. Tippett, Hiroyuki Murakami, Jane W. Baldwin, Samantha Frucht. Historical and Projected Tropical Cyclone Characteristics in SPEAR Large Ensemble Simulations. Earth’s Future, 2026. https://doi.org/10.1029/2025EF007720
  5. Wenchao Chu, Suzana J. Camargo, Jorge L. García-Franco, Chia-Ying Lee, Michael K. Tippett, Hiroyuki Murakami. Evaluation of Tropical Cyclone Characteristics in the SPEAR Large Ensemble Simulations, Journal of Advances in Modeling Earth Systems, 17, e2025MS005361, 2025. https://doi.org/10.1029/2025MS005361
  6. A.C.T. Sena, C.M. Patricola-DiRosario, P.J. Klotzbach, S.J. Camargo, C.-Y. Lee, M. K. Tippett. Multidecadal Fluctuations in the Observed ENSO-Tropical Cyclone Teleconnection. Geophysical Research Letters, 52, e2025GL116968, 2025. https://doi.org/10.1029/2025GL116968
  7. Jorge L. Garcıa-Franco, A. Jaramillo, C. Dominguez, M. K. Tippett, A. G. Munoz, Subseasonal Prediction of the Rainy Season and the Midsummer Drought in Mesoamerica, Journal of Geophysical Research: Atmospheres, 130, e2025JD044023, 2025. https://doi.org/10.1029/2025JD044023
  8. Spencer A. Hill, Destiny Zamir Meyers, Adam H. Sobel, Michela Biasutti, Mark A. Cane, Michael K. Tippett, and Fiaz Ahmed, More extreme Indian monsoon rainfall in El Niño summers, Science 389, 1220-1224, 2025. https://doi.org/10.1126/science.adg5577
  9. M. K. Tippett, E. J. Becker, S. J. Camargo, J. García-Franco, C-Y Lee, M. L. L'Heureux, Relation of Atlantic tropical cyclone activity with observed and predicted ENSO indices, Geophysical Research Letters, 52, e2025GL119286, 2025. https://doi.org/10.1029/2025GL119286
  10. K. Malloy and M. K. Tippett, A Global Ensemble Forecast System (GEFS)-based Synthetic Event Set of U.S. Tornado Outbreaks, Natural Hazards and Earth System Sciences, 26, 433–448, 2026. https://doi.org/10.5194/nhess-26-433-2026
  11. S. J. Camargo, M. K. Tippett, A. H. Sobel, C-Y. Lee, B. Fosu, K. Hodges, Tropical cyclones and associated environmental fields in CMIP6 models J. Climate, 38, 3877–3902, 2025.
  12. J. L. García-Franco, C. Lee, M. K. Tippett, S. J. Camargo, D. Kim, A. Molod, and Y. Lim, Subseasonal prediction of tropical cyclone precipitation, Wea. Forecasting, 40, 1429–1444, 2025. https://doi.org/10.1175/WAF-D-24-0185.1.
  13. M. K. Tippett and S. J. Camargo, Trends and ENSO-related variability in Atlantic tropical cyclone intensity and intensification, J. Climate, 38, 6983–7000, 2025. https://doi.org/10.1175/JCLI-D-25-0106.1
  14. T. DelSole, M. K. Tippett, N. Johnson, Diagnosing Errors in Climate Forecast Models Using Forced Autoregressive Models, Journal of Advances in Modeling Earth Systems, 17, e2024MS004926, 2025. https://doi.org/10.1029/2024MS004926
  15. K. Malloy and M. K. Tippett, Forecasting U.S. Tornado Outbreak Activity and Associated Environments in the Global Ensemble Forecast System (GEFS), Weather and Forecasting, 40, 593–608, 2025. https://doi.org/10.1175/WAF-D-24-0138.1
  16. Chavas, D. R., S. J. Camargo, and M. K. Tippett. Tropical cyclone genesis potential using a ventilated potential intensity. J. Climate, 38, 1667–1689, 2024. https://doi.org/10.1175/JCLI-D-24-0186.1
  17. M. A. Ehsan, M. L. L’Heureux, M. K. Tippett, A. W. Robertson, and J. Turmelle, Real-time ENSO forecast skill evaluated over the last two decades, with focus on the onset of ENSO events. npj Climate and Atmospheric Science, 7, 301, 2024. https://doi.org/10.1038/s41612-024-00845-5.
  18. T. DelSole and M. K. Tippett. Tuning Earth system models without integrating to statistical equilibrium. Journal of Advances in Modeling Earth Systems, 16, e2024MS004230, 2024. https://doi.org/10.1029/2024MS004230
  19. T. Delsole and M. K. Tippett. Simple Bounds on the Most Predictable Component of a Stochastic Model. Stochastics and Dynamics, 2450041, 2024, https://doi.org/10.1142/S0219493724500412.
  20. M. K. Tippett and E. J. Becker. Trends, skill, and sources of skill in initialized climate forecasts of global mean temperature. Geophysical Research Letters, 51, e2024GL110703, 2024, https://doi. org/10.1029/2024GL110703
  21. Boniface O. Fosu, Adam H. Sobel, Chia-Ying Lee, Suzana J. Camargo, Michael K. Tippett, Mona Hemmati, Radovan Drinka, Sri H. Polamuri, Steven G. Bowen, Nadia Bloemendaal, Assessing Future Tropical Cyclone Risk Using Downscaled CMIP6 Projections, Journal of Catastrophe Risk and Resilience, 2024, https://doi.org/10.63024/dpva-2pa1
  22. J. L. Garca-Franco, C-Y. Lee, S. J. Camargo, M. K. Tippett, N. G. Emlaw, D. Kim, Y-K. Lim, and A. Molod, Tropical cyclones in the GEOS-S2S-2 subseasonal forecasts, Weather and Forecasting, 39, 1297–1318, 2024. https://doi.org/10.1175/WAF-D-23-0208.1
  23. Tippett, M. K., K. Malloy, and S. H. Lee, Modulation of U.S. tornado activity by year-round North American weather regimes, Mon. Wea. Rev., 152, 2189–2202, 2024, https://doi.org/10.1175/MWR-D-24-0016.1
  24. L’Heureux, M. L., D. S. Harnos, E. Becker, B. Brettschneider, M. Chen, N. C. Johnson, A. Kumar, and M. K. Tippett, How Well Do Seasonal Climate Anomalies Match Expected El Niño-Southern Oscillation (ENSO) Impacts?, Bull. Amer. Meteor. Soc., 105, E1542–E1551, 2024, https://doi.org/10.1175/BAMS-D-23-0252.1
  25. E. J. Becker and M. K. Tippett, Impact of ENSO and trends on the distribution of North American wintertime daily temperature, J. Climate, 37, 3509–3520, 2024, https://doi.org/10.1175/JCLI-D-23-0569.1
  26. Malloy, K., and M. K. Tippett. A Stochastic Statistical Model for U.S. Outbreak-level Tornado Occurrence based on the Large-scale Environment, Mon. Wea. Rev., 152, 1141–1161, 2024, https://doi.org/10.1175/MWR-D-23-0219.1
  27. K. Malloy, M. K.Tippett, and W. J. Koshak. ENSO and MJO Modulation of U.S. Cloud-to-ground Lightning Activity, Monthly Weather Review, 151, 3255–3274, 2023, https://doi.org/10.1175/MWR-D-23-0157.1
  28. M. L. L'Heureux, M. K Tippett, M. C. Wheeler, H. Nguyen, S. Narsey, N. Johnson, A. B. Watkins, C. Lucas, C. Ganter, E. Becker, W. Wang; T. Di Liberto. A Relative Sea Surface Temperature Index for Classifying ENSO Events in a Changing Climate, Journal of Climate, 2023, 37, 1197–1211, https://doi.org/10.1175/JCLI-D-23-0406.1
  29. J. L. Garca-Franco, C.-Y. Lee, S. J. Camargo, M. K. Tippett, D. Kim; A. Molod, Y.-K. Lim, Climatology of tropical cyclone precipitation in the S2S models, Weather and Forecasting, 28, 1759–1776, 2023, https://doi.org/10.1175/WAF-D-23-0029.1
  30. S. H. Lee, M. K. Tippett, and L. M. Polvani. A New Year-Round Weather Regime Classification for North America, Journal of Climate, 36, 7091–7108, 2023, https://doi.org/10.1175/JCLI-D-23-0214.1
  31. T. DelSole and M. K. Tippett. Comparison of Climate Time Series Part 5: Multivariate Annual Cycles. Adv. Stat. Clim. Meteorol. Oceanogr., 10, 1–27, 2024, https://doi.org/10.5194/ascmo-10-1-2024
  32. T. DelSole and M. K. Tippett. The Most Predictable Component of a Linear Stochastic Model, Proceedings of the Royal Society A, 478, 230129, 2023. https://doi.org/10.1098/rspa.2023.0129
  33. C.-Y. Lee, A. H. Sobel, M. K Tippett, S. J. Camargo, M. Wüest, M. F. W., H. Murakami, Climate change signal in Atlantic tropical cyclones today and near future, Earth's Future, 2023, https://doi.org/10.1029/2023EF003539.
  34. A. H. Sobel, C.-Y. Lee, S. G. Bowen, S. J. Camargo, M. A. Cane, A. Clement, B. Fosu, M. Hart, K. A. Reed, R. Seager, and M. K. Tippett, Near-term tropical cyclone risk and coupled Earth system model biases, Proceedings of the National Academy of Sciences, 120 (33) e2209631120, 2023. https://doi.org/10.1073/pnas.2209631120
  35. M. A. Ehsan, M. K. Tippett, A. W. Robertson, B. Singh, and M. A. Rahman, The ENSO Fingerprint on Bangladesh Summer Monsoon Rainfall, Earth Systems and Environment, 7, 617–627, 2023, https://doi.org/10.1007/s41748-023-00347-z
  36. A. W. Robertson, J. Ying, M. K. Tippett, R. Cousin, K. Hall, N. Acharya, B. Singh, A. G Muñoz, D. Collins, E. LaJoie, J. Infanti. A multimodel real-time system for global probabilistic subseasonal forecasts of precipitation and temperature, Weather and Forecasting, 38, 921–935, 2023. https://doi.org/10.1175/WAF-D-22-0160.1
  37. M. K. Tippett, C. Lepore, and M. L. L'Heureux. Predictability of a tornado environment index from El Niño–Southern Oscillation (ENSO) and the Arctic Oscillation, Weather and Climate Dynamics, 3, 1063–1075, 2022. https://doi.org/10.5194/wcd-3-1063-2022
  38. T. DelSole and M. K. Tippett. Statistical Methods for Climate Scientists. Cambridge University Press. 2022. Amazon
  39. Chia-Ying Lee, Adam H. Sobel, Suzana J. Camargo, Michael K. Tippett, and Qidong Yang. New York State hurricane hazard: history and future projections. Journal of Applied Meteorology and Climatology, 61, 613–629, 2022. https://doi.org/10.1175/JAMC-D-21-0173.1
  40. Qidong Yang, Chia-Ying Lee, Michael K. Tippett, Daniel R. Chavas, and Thomas R. Knutson. Machine learning-based hurricane wind reconstruction. Weather and Forecasting, 37, 477-493, 2022. https://doi.org/10.1175/WAF-D-21-0077.1
  41. Michelle L. L'Heureux, Michael K. Tippett, and Wanqiu Wang. Prediction challenges from errors in tropical Pacific sea surface temperature trends. Frontiers in Climate, 2022.
  42. T. DelSole and M. K. Tippett. Comparing Climate Time Series - Part 4: Annual Cycles. Adv. Stat. Clim. Meteorol. Oceanogr., 8, 187–203, 2022. https://doi.org/10.5194/ascmo-8-187-2022
  43. Shuguang Wang, Zane K. Martin, Adam H. Sobel, Michael K. Tippett, Juliana Dias, George N. Kiladis, Hongli Ren, Jie Wu. A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures. JGR Atmospheres, 127, e2021JD035961, 2022. https://doi.org/10.1029/2021JD035961
  44. Adam H. Sobel, Allison A. Wing, Suzana J. Camargo, Christina M. Patricola, Gabriel A. Vecchi, Chia-Ying Lee, Michael K. Tippett. Tropical cyclone frequency. Earth's Future, 9, e2021EF002275, 2021. https://doi.org/10.1029/2021EF002275
  45. Chiara Lepore, Ryan Abernathey, Naomi Henderson, John T. Allen, Michael K. Tippett. Future Global Convective Environments in CMIP6 Models. Earth's Future, 9, e2021EF002277, 2021. https://doi.org/10.1029/2021EF002277
  46. T. DelSole and M. K. Tippett. Comparing Climate Time Series - Part 3: Discriminant Analysis. Adv. Stat. Clim. Meteorol. Oceanogr., 8, 97–115, 2022. https://doi.org/10.5194/ascmo-8-97-2022
  47. T. DelSole and M. K. Tippett, Comparing Climate Time Series - Part 2: A Multivariate Test. Adv. Stat. Clim. Meteorol. Oceanogr., 7, 73–85, 2021. https://doi.org/10.5194/ascmo-7-73-2021
  48. Suzana J. Camargo, Frederic Vitart, Chia-Ying Lee, and Michael K. Tippett. Skill, Predictability, and Cluster Analysis of Atlantic Tropical Storms and Hurricanes in the ECMWF Monthly Forecasts. Mon. Wea. Rev., 149, 3781-3802, 2021. https://doi.org/10.1175/MWR-D-21-0075.1
  49. M. K. Tippett and C. Lepore. ENSO-based predictability of a regional severe thunderstorm index. Geophys. Res. Lett., 48, e2021GL094907, 2021. https://doi.org/10.1029/2021GL094907.
  50. M. L’Heureux, E. Becker, M. S. Halpert, Z.-Z. Hu, K. MacRitchie, and M. Tippett. ENSO and the tropical Pacific [in “State of the Climate in 2020”]. Bull. Amer. Meteor. Soc., 102, S252–S255, 2021. https://doi.org/10.1175/BAMS-D-21-0080.1
  51. L'Heureux, M. L., Tippett, M. K., and Becker, E. J. Sources of Subseasonal Skill and Predictability in Wintertime California Precipitation Forecasts, Weather and Forecasting, 36, 1815-1826, 2021. https://doi.org/10.1175/WAF-D-21-0061.1
  52. Risbey, J.S., Squire, D.T., Black, A.S. et al. Standard assessments of climate forecast skill can be misleading. Nature Communications, 12, 4346, 2021. https://doi.org/10.1038/s41467-021-23771-z
  53. Ehsan, M. A., M. K. Tippett, A. W. Robertson, M. Almazroui, M. Ismail, T. Dinku, N. Acharya, A. Siebert, J. S. Ahmed, and A. Teshome. Seasonal predictability of Ethiopian Kiremt rainfall and forecast skill of ECMWF's SEAS5 model. Clim Dyn., 57, 3075–3091, 2021. https://doi.org/10.1007/s00382-021-05855-0
  54. Almazroui, M., Ashfaq, M., Islam, M.N. et al. Assessment of CMIP6 Performance and Projected Temperature and Precipitation Changes Over South America. Earth Syst. Environ., 5, 155–183, 2021. https://doi.org/10.1007/s41748-021-00233-6
  55. T. DelSole and M. K. Tippett. A Mutual Information Criterion with Applications to Canonical Correlation Analysis and Graphical Models. Stat, 10, e385, 2021. https://doi.org/10.1002/sta4.385
  56. T. DelSole and M. K. Tippett. Correcting the corrected AIC. Statistics and Probability Letters, 173, 2021. https://doi.org/10.1016/j.spl.2021.109064
  57. Almazroui, M., Islam, M.N., Saeed, F. et al. Projected Changes in Temperature and Precipitation Over the United States, Central America, and the Caribbean in CMIP6 GCMs. Earth Syst. Environ., 5, 1–24, 2021. https://doi.org/10.1007/s41748-021-00199-5
  58. E. Koch, J. Koh, A. C. Davison, C. Lepore, and M. K. Tippett. Trends in the extremes of environments associated with severe US thunderstorms J. Climate, 34, 1259-1272, 2021. https://doi.org/10.1175/JCLI-D-19-0826.1.
  59. T. DelSole and M. K. Tippett. Comparing Climate Time Series. Part I: Univariate Test. Adv. Stat. Clim. Meteorol. Oceanogr., 6, 159–175, 2020. https://doi.org/10.5194/ascmo-6-159-2020.
  60. Trenary, L., T. DelSole, and M. K. Tippett. Comparing methods of uncertainty estimation in optimal fingerprinting. Geophys. Res. Lett., 47, e2020GL088060, 2020. doi: 10.1029/2020GL088060
  61. M. K. Tippett, M. L. L'Heureux, E. J. Becker, and A. Kumar. Excessive momentum and false alarms in late-spring ENSO forecasts. Geophys. Res. Lett., 47, e2020GL087008, 2020. doi: 10.1029/2020GL087008.
  62. L'Heureux, M., Newman, M., Ganter, C., Luo, J.-J., Tippett, M., Stockdale, T., 2020. Chapter 10: ENSO Prediction. AGU Monograph: ENSO in a Changing Climate. M. McPhaden, A. Santoso, W. Cai (Eds.), Wiley.
  63. C.-Y. Lee, S. J. Camargo; F. Vitart, A. H. Sobel, J. Camp, S. Wang, M. K. Tippett, Q. Yang. Subseasonal predictions of tropical cyclone occurrence and ACE in the S2S dataset. Wea. Forecasting, 35, 921-938, 2020. doi: 10.1175/WAF-D-19-0217.1.
  64. M. K. Tippett and M. L. L'Heureux. Low-dimensional representations of Niño 3.4 evolution and the spring persistence barrier. npj Climate and Atmospheric Science, 3, 24, 2020. https://doi.org/10.1038/s41612-020-0128-y.
  65. Q. Yang, C.-Y. Lee, and M. K. Tippett. A long short-term memory model for global rapid intensification prediction. Wea. Forecasting, 35, 1203-1220, 2020. doi: 10.1175/WAF-D-19-0199.1.
  66. C. Noyan, J. R. Bunn, M. K. Tippett, A. Payzant, B. Clausen and D. W. Brown. Experimental determination of precision, resolution, accuracy and trueness of time-of-flight neutron diffraction strain measurements. Journal of Applied Crystallography, 53, 494-511, 2020. https://doi.org/10.1107/S1600576720002150.
  67. C. Lepore and M. K. Tippett. Environmental controls on the climatological scaling of tornado frequency with intensity. Mon. Wea. Rev., 148, 4467-4478, 2020. doi: 10.1175/MWR-D-20-0138.1.
  68. M. K. Tippett and J. E. Cohen. Seasonality of Taylor’s law of fluctuation scaling in all-India daily rainfall. npj Climate and Atmospheric Science, 3, 3, 2020. https://doi.org/10.1038/s41612-019-0104-6.
  69. M. A. Ehsan, D. Nicolì, F. Kucharski, M. Almazroui, M. K. Tippett, A. Bellucci, P. Ruggieri, and I.-S. Kang. Atlantic Ocean influence on Middle East summer surface air temperature. npj Climate and Atmospheric Science, 3, 5, 2020. https://doi.org/10.1038/s41612-020-0109-1.
  70. M. A. Ehsan, M. K. Tippett, F. Kucharski, M. Almazroui, and M. Ismail. Predicting Peak Summer Monsoon precipitation over South Asia in ECMWF SEAS5 and North American Multimodel Ensemble. Int. J. Climatol., 2020. 40, 5556-5573, https://doi.org/10.1002/joc.6535.
  71. A. W. Robertson, N. Vigaud, J. Yuan, and M. K. Tippett. Towards identifying subseasonal forecasts of opportunity using North American weather regimes. Mon. Wea. Rev., 148, 1861-1875, 2020. https://doi.org/10.1175/MWR-D-19-0285.1.
  72. N. Vigaud, M. K. Tippett, J. Yuan, A. W. Robertson, and N. Acharya. Spatial correction of multi-model ensemble subseasonal precipitation forecasts over North America using local Laplacian eigenfunctions. Mon. Wea. Rev., 148, 523-539, 2020. doi: 10.1175/MWR-D-19-0134.1.
  73. N. Vigaud, M. K. Tippett, and A. W. Robertson. Deterministic skill of subseasonal precipitation forecasts for the East Africa-West Asia sector from September to May. J. Geophys. Res. Atmos., 124, 11887-11896, 2019. https://doi.org/10.1029/2019JD030747.
  74. N. Vigaud, M. K. Tippett, J. Yuan, A. W. Robertson, and N. Acharya. Probabilistic skill of subseasonal surface temperature forecasts over North America. Wea. Forecasting, 34, 1789-1806, 2019. doi: 10.1175/WAF-D-19-0117.1.
  75. C.-Y. Lee, S. J. Camargo, A. H. Sobel, and M. K. Tippett. Statistical-dynamical downscaling projections of tropical cyclone activity in a warming climate: Two diverging genesis scenarios. J. Climate, 33, 4815-4834, 2020. doi:10.1175/JCLI-D-19-0452.1
  76. M. Bieli, A. H. Sobel, S. J. Camargo, and M. K. Tippett. A Statistical Model to Predict the Extratropical Transition of Tropical Cyclones. Wea. Forecasting, 35, 451-466, 2020. https://doi.org/10.1175/WAF-D-19-0045.1.
  77. S. Wang, M. K. Tippett, A. H. Sobel, Z. Martin, and F. Vitart. Impact of the QBO on prediction and predictability of the MJO convection. J. Geophys. Res. Atmos., 124, 11766-11782, 2019. https://doi.org/10.1029/2019JD030575.
  78. M. A. Ehsan, F. Kucharski, M. Almazroui, M. Ismail, M. K. Tippett. Potential Predictability of Arabian Peninsula summer surface air-temperature (AP-SAT) in the North American Multimodel Ensemble. Clim. Dyn., 53, 4249–4266, 2019. doi: 10.1007/s00382-019-04784-3.
  79. Kathy Pegion; Ben P Kirtman; Dan C Collins; Emerson LaJoie; Robert Burgman; Ray Bell; Timothy DelSole; Dughong Min; Yuejian Zhu; Wei Li; Erik Sinsky; Hong Guan; Emily Becker; Jon Gottschalck; E Joseph Metzger; Neil P Baron; Deepthi Achuthavarier; Jelena Marshak; Randal D Koster; Hai Lin; Normand Gagnon; Michael Bell; Michael K Tippett; Andrew Robertson; Shan Sun; Stanley G Benjamin; Benjamin W Green; Rainer Bleck; Hyemi Kim. The Subseasonal Experiment (SubX): A multi-model subseasonal prediction experiment. Bull. Amer. Meteor. Soc., 100, 2043–2060, 2019. https://doi.org/10.1175/BAMS-D-18-0270.1
  80. L. Trenary, T. DelSole, S.J. Camargo, and M. K. Tippett. Are mid-20th century forced changes in North Atlantic hurricane potential intensity detectable? Geophys. Res. Lett., 46, 3378–3386, 2019. https://doi.org/10.1029/2018GL081725.
  81. M. K. Tippett, C. Lepore, W. J. Koshak, T. Chronis, and B. Vant-Hull. Performance of a simple proxy for U.S. cloud-to-ground lightning. Int. J. Climatol., 39, 3932-3946, 2019. https://doi.org/ 10.1002/joc.6049.
  82. Vittorio A. Gensini and M. K. Tippett. Global Ensemble Forecast System (GEFS) predictions of day 1--15 United States tornado and hail activity. Geophys. Res. Lett., 2019. 46, 2922-2930. https://doi.org/10.1029/2018GL081724.
  83. F. Vitart, C. Cunningham, M. DeFlorio, E. Dutra, L. Ferranti, B. Golding, D. Hudson, C. Jones, C. Lavaysse, J. Robbins, and M. K. Tippett. Sub-seasonal to Seasonal Prediction of Weather Extremes. in Sub-Seasonal to Seasonal Prediction. edited by A. W. Robertson and F. Vitart. Elsevier, 365-386, 2019. https://doi.org/10.1016/B978-0-12-811714-9.09993-9
  84. M. K. Tippett. Extreme weather and climate. npj Climate and Atmospheric Science, 1, 2018.
  85. M. K. Tippett. Comment on "On the Relationship Between Probabilistic and Deterministic Skills in Dynamical Seasonal Climate Prediction". J. Geophys. Res. Atmos., 124, 3979-3981. 2019. https://doi.org/10.1029/2018JD029345.
  86. M. K. Tippett and W. J. Koshak. A baseline for the predictability of U.S. cloud-to-ground lightning. Geophys. Res. Lett., 45, 10,719–10,728, 2018. https://doi.org/10.1029/2018GL079750.
  87. M. L. L'Heureux, M. K. Tippett, K. Takahashi, A. Barnston, E. J. Becker, G. D. Bell, T. E. Di Liberto, J. Gottschalck, M. S. Halpert, Z-Z Hu, N. C. Johnson, Y. Xue, W. Wan. Strength Outlooks for the El Niño-Southern Oscillation. Wea. Forecasting, 34, 165–175, 2019. https://doi.org/10.1175/WAF-D-18-0126.1.
  88. T. DelSole, L. Trenary, X. Yan, and M. K. Tippett. Confidence Intervals in Optimal Fingerprinting. Clim. Dyn., 52, 4111-4126, 2019. https://doi.org/10.1007/s00382-018-4356-3.
  89. M. K. Tippett. Robustness of relations between the MJO and U.S. tornado occurrence. Mon. Wea. Rev., 146, 3873-3884, 2018. https://doi.org/10.1175/MWR-D-18-0207.1.
  90. S. Wang, A.H Sobel, M. K. Tippett, and F. Vitart. Prediction and predictability of tropical intraseasonal convection: seasonal dependence and the Maritime Continent prediction barrier. Clim. Dyn., 52, 6015-6031. 2018. https://doi.org/10.1007/s00382-018-4492-9.
  91. S. Wang, D. Ma, A.H Sobel, and M. K. Tippett. Propagation characteristics of BSISO indices. Geophys. Res. Lett., 45, 9934-9943, 2018. https://doi.org/10.1029/2018GL078321.
  92. N. Vigaud, M. K. Tippett, and A. W. Robertson. Probabilistic skill of subseasonal precipitation forecasts for the East Africa-west Asia sector during September to May. Wea. Forecasting, 33, 1513-1532, 2018. https://doi.org/10.1175/WAF-D-18-0074.1.
  93. C. Lepore, M. K. Tippett, and J. T. Allen. CFSv2 monthly forecasts of tornado and hail activity. Wea. Forecasting, 33, 1283-1297, 2018. https://doi.org/10.1175/WAF-D-18-0054.1.
  94. N. Vigaud, A. W. Robertson, and M. K. Tippett. Predictability of recurrent weather regimes over North America during winter from submonthly reforecasts. Mon. Wea. Rev., 146, 2559-2577, 2018. https://doi.org/10.1175/MWR-D-18-0058.1.
  95. A. H. Sobel, and M. K. Tippett, Extreme Events: Trends and Risk Assessment Methodologies, In Resilience: The Science of Adaptation to Climate Change, edited by Zinta Zommers and Keith Alverson, Elsevier, 3-12, 2018. https://doi.org/10.1016/B978-0-12-811891-7.00001-3.
  96. C.-Y. Lee, S. J. Camargo, F. Vitart, A. H. Sobel, and M. K. Tippett. Sub-seasonal tropical cyclone genesis prediction and MJO in the S2S dataset. Wea. Forecasting, 33, 967-988, 2018. https://doi.org/10.1175/WAF-D-17-0165.1
  97. L. Trenary, T. DelSole, M. K. Tippett, and K. Pegion. Monthly ENSO Forecast Skill and Lagged Ensemble Size. J. Adv. Model. Earth Syst., 10, 1074-1086, 2018. https://doi.org/10.1002/2017MS001204.
  98. M. K. Tippett, L. Trenary, T. DelSole, K. Pegion and M. L. L'Heureux. Sources of bias in the monthly CFSv2 forecast climatology. J. Appl. Meteor. Climatol., 57, 1111-1122, 2018. https://doi.org/10.1175/JAMC-D-17-0299.1.
  99. T. DelSole and M. K. Tippett, Predictability in a Changing Climate. Clim. Dyn., 51, 531-545, 2018. https://doi.org/10.1007/s00382-017-3939-8.
  100. C.-Y. Lee, M. K. Tippett, A. H. Sobel, and S. J. Camargo. An environmentally forced tropical cyclone hazard model, J. Adv. Model. Earth Syst., 10, 223-241, 2018. https://doi.org/10.1002/2017MS001186.
  101. T. DelSole, L. Trenary and M.K. Tippett, The Weighted-Average Lagged Ensemble, J. Adv. Model. Earth Syst., 9, 2739-2752, 2017. https://doi.org/10.1002/2017MS001128.
  102. M. L. L'Heureux, M. K. Tippett, A. Kumar, A. H. Butler, L. M. Ciasto, Q. Ding, K. J. Harnos, and N. C. Johnson, Strong Relations Between ENSO and the Arctic Oscillation in the North American Multi-Model Ensemble, Geophys. Res. Lett., 11, 654–11,662, 44, 2017. https://doi.org/10.1002/2017GL074854.
  103. N. Vigaud, A. W. Robertson, M. K. Tippett and N. Acharya. Subseasonal predictability of boreal summer monsoon rainfall from ensemble forecasts. Front. Environ. Sci., 2017. https://doi.org/10.3389/fenvs.2017.00067.
  104. S. Wang, A. Anichowski, M. K. Tippett, Adam H. Sobel, Seasonal noise vs. subseasonal signal: forecasts of California precipitation during the unusual winters of 2015-16 and 2016-17. Geophys. Res. Lett., 44, 9513-9520, 2017. https://doi.org/10.1002/2017GL075052.
  105. D. Shawki, R. D. Field, M. K. Tippett, B. H. Saharjo, I. Albar, D. Atmoko, and A. Voulgarakis. Long-lead prediction of the 2015 fire and haze episode in Indonesia. Geophys. Res. Lett., 44, 9996-10,005, 2017. https://doi.org/10.1002/2017GL073660.
  106. J. T. Allen, M. K. Tippett, Y. Kaheil, A. H Sobel, C. Lepore, S. Nong, A. Muehlbauer, An Extreme Value Model for United States Hail Size. Mon. Wea. Rev., 145, 4501-4519, 2017. https://doi.org/10.1175/MWR-D-17-0119.1.
  107. C. Lepore, M. K. Tippett and J. T. Allen, ENSO-based probabilistic forecasts of March-May U.S. tornado and hail activity. Geophys. Res. Lett., 44, 9093-9101, 2017. https://doi.org/10.1002/2017GL074781.
  108. M. Almazroui, O. Tayeb, A. S. Mashat, A. Yousef, Y. A. Al-Turki, M. A. Abid, A. O. Bafail, M. A. Ehsan, A. Zahed, M. A. Rahman, A. M. Mohorji, I.-S. Kang, A. Noaman, M. Omar, A. M. Al-roqi, K. Ammar, A. S. Al-Ghamdi, M. A Hussein, I. Katib, E. O'Brien, N. R. Aljohani, M. N. Islam, A. Alsaedi, Y.-M. Yang, A. K. Alkhalaf, M. Ismail, A. Mashat, F. Kucharski, M. Assiri, S. Ibrahim, M. K. Tippett, I. U. Rashid, S. Kamil, A. Alahmadi, R. M. Atif, M. A. Bajunaid, A. S. Hantoush, Saudi-KAU coupled global climate model: Description and performance. Earth Systems and Environment, 1:7, 2017. https://doi.org/10.1007/s41748-017-0009-7.
  109. N. Vigaud, A. W. Robertson, and M.K. Tippett. Multi-model ensembling of subseasonal precipitation forecasts over North America. Mon. Wea. Rev., 145, 3913-3928, 2017. https://doi.org/10.1175/MWR-D-17-0092.1.
  110. A. G. Barnston and M. K. Tippett. Do statistical pattern corrections improve seasonal climate predictions in NMME models? J. Climate, 30, 8335-8355, 2017. https://doi.org/10.1175/JCLI-D-17-0054.1.
  111. M. K. Tippett, M. Ranganathan, M. L'Heureux, A. G. Barnston, and T. DelSole. Assessing probabilistic predictions of ENSO phase and intensity from the North American Multimodel Ensemble. Clim. Dyn., 53, 7497–7518, 2019. https://doi.org/10.1007/s00382-017-3721-y.
  112. P. Gunturi and M. K. Tippett. Managing severe thunderstorm risk: Impact of ENSO on U.S. tornado and hail frequencies. Technical report, WillisRe, 2017.
  113. M. A. Ehsan, M. Almazroui, A. Yousef, O. Enda, M. K. Tippett, F. Kucharski, I.-S. Kang, and A. A. Alkhalaf. Sensitivity of AGCM simulated regional summer precipitation to different convective parameterizations. Int. J. Climatol., 37, 4594-4609, 2017. https://doi.org/10.1002/joc.5108.
  114. A. G. Barnston, M. K. Tippett, M. Ranganathan, and M. L. L'Heureux. Deterministic skill of ENSO predictions from the North American Multimodel Ensemble. Clim. Dyn., 53, 7215–7234, 2019. https://doi.org/10.1007/s00382-017-3603-3.
  115. T. DelSole, L. Trenary, M. K. Tippett, and K. Pegion. Predictability of week 3-4 average temperature and precipitation over the contiguous United States. J. Climate, 30, 3499-3512, 2017.https://doi.org/10.1175/JCLI-D-16-0567.1
  116. L. Trenary, T. DelSole, M. K. Tippett, and K. Pegion. A new method for determining the optimal lagged ensemble. J. Adv. Model. Earth Syst., 9, 291-306, 2017. https://doi.org/10.1002/2016MS000838.
  117. T. Hall and M. K. Tippett. Pacific Hurricane Landfalls on Mexico and SST. J. Appl. Meteor. Climatol., 56, 667-676, 2017. https://doi.org/10.1175/JAMC-D-16-0194.1
  118. M. L'Heureux, M. K. Tippett, and A. G. Barnston. Reply to "Comment on 'Characterizing ENSO coupled variability and its impact on North American seasonal precipitation and temperature"'. J. Climate, 30, 437-441, 2017. https://doi.org/10.1175/JCLI-D-16-0080.1.
  119. M. A. Ehsan, M. K. Tippett, M. Almazroui, M. Ismail, A. Yousef, F. Kucharski, M. Omar, M. Hussein, and A. A. Alkhalaf. Skill and predictability in multimodel ensemble forecasts for northern hemisphere regions with dominant winter precipitation. Clim. Dyn., 48, 3309-3324, 2017. https://doi.org/10.1007/s00382-016-3267-4.
  120. L. Trenary, T. DelSole, M. K. Tippett, and B. Doty. Extreme eastern US winter of 2015 not symptomatic of climate change [in "Explaining Extremes of 2015 from a Climate Perspective"]. Bull. Amer. Meteor. Soc., 97, S31-S35, 2016. https://doi.org/10.1175/BAMS-D-16-0156.1
  121. M. K. Tippett, C. Lepore, and J. E. Cohen. More tornadoes in the most extreme U.S. tornado outbreaks. Science, 354, 1419-1423, 2016. https://doi.org/10.1126/science.aah7393. Reported by: [NPR] [The Christian Science Monitor] [Climate Central] [Bloomberg] [Altmetric score]
  122. Allen, J., M. K. Tippett, A. Sobel, and C. Lepore. Understanding the Drivers of Variability in Severe Convection: Bringing Together the Scientific and Insurance Communities. Bull. Amer. Meteor. Soc., 97, ES221-ES223, 2016. https://doi.org/10.1175/BAMS-D-16-0208.1.
  123. C.-Y. Lee, M. K. Tippett, A. H. Sobel, and S. J. Camargo. Autoregressive modeling for tropical cyclone intensity climatology. J. Climate, 29, 7815-7830, 2016. https://doi.org/10.1175/JCLI-D-15-0909.1.
  124. A. H. Sobel, S. J. Camargo, T. M. Hall, C.-Y. Lee, M. K. Tippett, and A. A. Wing. Human influence on tropical cyclone intensity. Science, 353, 242-246, 2016. https://doi.org/10.1126/science.aaf6574. [Altmetric score]
  125. T. DelSole, X. Yan, and M. K. Tippett. Inferring aerosol cooling from hydrological sensitivity. J. Climate, 29, 6167-6178, 2016. https://doi.org/10.1175/JCLI-D-15-0364.1.
  126. A. H. Sobel, S. J. Camargo, A. G. Barnston, and M. K. Tippett. Northern hemisphere tropical cyclones during the quasi-El Niño of late 2014. Nat. Hazards, 83, 1717-1729, 2016. https://doi.org/10.1007/s11069-016-2389-7.
  127. G. W. Carbin, M. K. Tippett, S. P. Lillo, and H. E. Brooks. Visualizing long-range severe thunderstorm environment guidance from CFSv2. Bull. Amer. Meteor. Soc., 97, 1021-1031, 2016. https://doi.org/10.1175/BAMS-D-14-00136.1.
  128. S. D. Ditchek, W. R. Boos, S. J. Camargo, and M. K. Tippett. A genesis index for monsoon disturbances. J. Climate, 29, 5189-5203, 2016. https://doi.org/10.1175/JCLI-D-15-0704.1.
  129. X. Yan, T. DelSole, and M. K. Tippett. What surface observations are important for separating the influences of anthropogenic aerosols from other forcings? J. Climate, 29, 4165-4184, 2016. https://doi.org/10.1175/JCLI-D-15-0667.1.
  130. C. Lepore, J. T. Allen, and M. K. Tippett. Relationships between extreme precipitation and atmospheric variables over the contiguous United States. J. Climate, 29, 3181-3197, 2016. https://doi.org/10.1175/JCLI-D-15-0331.1.
  131. M. K. Tippett and J. E. Cohen. Tornado outbreak variability follows Taylor's power law of fluctuation scaling and increases dramatically with severity. Nat. Commun., 7, 10668, 2016. https://doi.org/10.1038/ncomms10668. Reported by: [time.com] [slate.com] [Columbia Spectator] [Altmetric score]
  132. C.-Y. Lee, M. K. Tippett, A. H. Sobel, and S. J. Camargo. Rapid intensification and the bimodal distribution of tropical cyclone intensity. Nat. Commun., 7, 10625, 2016. https://doi.org/10.1038/ncomms10625.
  133. T. DelSole and M. K. Tippett. Forecast comparison based on random walks. Mon. Wea. Rev., 144, 615-626, 2016. https://doi.org/10.1175/MWR-D-15-0218.1.
  134. J. T. Allen, M. K. Tippett, and A. H. Sobel. Influence of the El Niño/Southern Oscillation on tornado and hail frequency in the United States. Nat. Geosci., 8, 278-283, 2015. https://doi.org/10.1038/ngeo2385. Reported by: [USA Today] [Insurance Journal] [Bloomberg] [Scientific American] [Altmetric score]
  135. J. T. Allen and M. K. Tippett. The characteristics of United States hail reports: 1955-2014. Electronic J. Severe Storms Meteor., 10, 1-31, 2015.
  136. L. Trenary, T. DelSole, M. K. Tippett, and B. Doty. Are eastern US winter temperatures becoming more variable? [in "Explaining Extremes of 2014 from a Climate Perspective"]. Bull. Amer. Meteor. Soc., 96, S10-S15, 2015. https://doi.org/10.1175/BAMS-D-15-00138.1. Reported by [Climate Central]
  137. J. T. Allen, M. K. Tippett, and A. H. Sobel. An empirical model relating U.S. monthly hail occurrence to large-scale meteorological environment. J. Adv. Model. Earth Syst., 7, 226-243, 2015. https://doi.org/10.1002/2014MS000397.
  138. A. G. Barnston, M. K. Tippett, H. M. van den Dool, and D. A. Unger. Toward an improved multi-model ENSO prediction. J. Appl. Meteor. Climatol., 54, 1579-1595, 2015. https://doi.org/10.1175/JAMC-D-14-0188.1.
  139. A. G. Barnston, N. Vigaud, L. N. Long, M. K. Tippett, and J.-K. E. Schemm. Atlantic tropical cyclone activity in response to the MJO in NOAA's CFS model. Mon. Wea. Rev., 143, 4905-4927, 2015. https://doi.org/10.1175/MWR-D-15-0127.1.
  140. T. DelSole, C. Monteleoni, S. McQuade, M. K. Tippett, K. Pegion, and J. Shukla. Tracking seasonal prediction models. In In Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 5th International Workshop on Climate Informatics, 2015. (reviewed).
  141. T. DelSole and M. K. Tippett. Laplacian eigenfunctions for climate analysis. J. Climate, 28, 7420-7436, 2015. https://doi.org/10.1175/JCLI-D-15-0049.1.
  142. J. G. Dwyer, S. J. Camargo, A. H. Sobel, M. Biasutti, K. A. Emanuel, G. A. Vecchi, M. Zhao, and M. K. Tippett. Projected 21st century changes in the length of the tropical cyclone season. J. Climate, 28, 6181-6192, 2015. https://doi.org/10.1175/JCLI-D-14-00686.1.
  143. C.-Y. Lee, M. K. Tippett, S. J. Camargo, and A. H. Sobel. Probabilistic prediction of tropical cyclone intensity from a multiple-linear regression model. Mon. Wea. Rev., 143, 933-954, 2015. https://doi.org/10.1175/MWR-D-14-00171.1.
  144. M. L'Heureux, M. K. Tippett, and A. G. Barnston. Characterizing ENSO coupled variability and its impact on North American seasonal precipitation and temperature. J. Climate, 28, 4231-4245, 2015. https://doi.org/10.1175/JCLI-D-14-00508.1.
  145. M. Lu, M. Tippett, and U. Lall. Changes in the seasonality of tornado and favorable genesis conditions in the Central United States. Geophys. Res. Lett., 42, 4224-423, 2015. https://doi.org/10.1002/2015GL063968.
  146. M. K. Tippett, J. T. Allen, V. A. Gensini, and H. E. Brooks. Climate and hazardous convective weather. Curr. Clim. Change Rep.i, 1, 60-73, 2015. https://doi.org/10.1007/s40641-015-0006-6.
  147. M. K. Tippett, M. Almazroui, and I.-S. Kang. Extended-range forecasts of areal-averaged Saudi Arabia rainfall. Wea. Forecasting, 30, 1090-1105, 2015. https://doi.org/10.1175/WAF-D-15-0011.1.
  148. T. DelSole, M. K. Tippett, and L. Jia. Multi-year prediction and predictability. In C.-P. Change, M. Ghil, M. Latif, and J. M. Wallace, editors, Climate Change: Multidecadal and Beyond, volume 6 of World Scientific Series on Asia-Pacific Weather and Climate, chapter 14, pages 219-233. World Scientific Publishing, 2015.
  149. A. Barnston and M. K. Tippett. Climate information, outlooks, and understanding—where does the IRI stand? Earth Perspectives, 1, 1-17, 2014. https://doi.org/10.1186/2194-6434-1-20.
  150. S. J. Camargo, M. K. Tippett, A. H. Sobel, G. A. Vecchi, and M. Zhao. Testing the performance of tropical cyclone genesis indices in future climates using the HIRAM model. J. Climate, 27, 9171-9196, 2014. https://doi.org/10.1175/JCLI-D-13-00505.1.
  151. T. DelSole, J. Nattala, and M. K. Tippett. Skill improvement from increased ensemble size and model diversity. Geophys. Res. Lett., 41, 7331-7342, 2014. https://doi.org/10.1002/2014GL060133.
  152. T. DelSole and M. K. Tippett. Comparing forecast skill. Mon. Wea. Rev., 142, 4658-4678, 2014. https://doi.org/10.1175/MWR-D-14-00045.1.
  153. L. Jia, T. DelSole, and M. K. Tippett. Can optimal projection improve dynamical model forecasts? J. Climate, 27, 2643-2655, 2014. https://doi.org/10.1175/JCLI-D-13-00232.1.
  154. B. Kirtman, P. Dughong Min, J. M. Infanti, J. L. K. III, D. A. Paolino, Q. Zhang, H. van den Dool, S. Saha, M. P. Mendez, E. Becker, P. Peng, P. Tripp, J. Huang, D. G. DeWitt, M. K. Tippett, A. G. Barnston, S. Li, A. Rosati, S. D. Schubert, M. Rienecker, M. Suarez, Z. E. Li, J. Marshak, Y.-K. Lim, J. Tribbia, K. Pegion, W. J. Merryfield, B. Denis, and E. F. Wood. The North American Multi-Model Ensemble (NMME): Phase-1 Seasonal to Interannual Prediction, Phase-2 Toward Developing Intra-Seasonal Prediction. Bull. Amer. Meteor. Soc., 95, 585-601, 2014. https://doi.org/10.1175/BAMS-D-12-00050.1.
  155. M. K. Tippett. Changing volatility of U.S. annual tornado reports. Geophys. Res. Lett., 41, 6956-6961, 2014. https://doi.org/10.1002/2014GL061347. Reported by: [Washington Post] [Climate Central] [Weather.com]
  156. M. K. Tippett, T. DelSole, and A. G. Barnston. Reliability of regression-corrected climate forecasts. J. Climate, 27, 3393-3404, 2014. https://doi.org/10.1175/JCLI-D-13-00565.1.
  157. M. K. Tippett, A. H. Sobel, S. J. Camargo, and J. T. Allen. An empirical relation between U.S. tornado activity and monthly environmental parameters. J. Climate, 27, 2983-2999, 2014. https://doi.org/10.1175/JCLI-D-13-00345.1.
  158. A. G. Barnston and M. K. Tippett. Predictions of Nino3.4 SST in CFSv1 and CFSv2: A Diagnostic Comparison. Clim. Dyn., 41, 1-19, 2013. https://doi.org/10.1007/s00382-013-1845-2.
  159. T. DelSole, L. Jia, and M. K. Tippett. Decadal prediction of observed and simulated sea surface temperatures. Geophys. Res. Lett.i, 40, 2773-2778, 2013. https://doi.org/10.1002/grl.50185.
  160. T. DelSole, M. K. Tippett, and L. Jia. Scale-selective ridge regression for multimodel forecasting. J. Climate, 26, 7957-7965, 2013. https://doi.org/10.1175/JCLI-D-13-00030.1.
  161. T. DelSole, X. Yang, and M. K. Tippett. Is unequal weighting significantly better than equal weighting for multi-model forecasting? Quart. J. Roy. Meteor. Soc., 139, 176-183, 2013. https://doi.org/10.1002/qj.1961.
  162. C. Monteleoni, G. Schmidt, F. Alexander, A. Niculescu-Mizil, K. Steinhaeuser, M. Tippett, A. Banerjee, M. Blumenthal, A. Ganguly, J. Smerdon, and M. Tedesco. Climate informatics. In T. Yu, N. V. Chawla, and S. Simoff, editors, Computational Intelligent Data Analysis for Sustainable Development, Chapter 4, 81-126. CRC Press, Boca Raton, FL, 2013.
  163. M. K. Tippett and T. DelSole. Constructed analogs and linear regression. Mon. Wea. Rev., 141, 2519-2525, 2013. https://doi.org/10.1175/MWR-D-12-00223.1.
  164. A. G. Barnston, M. K. Tippett, M. L. L'Heureux, S. Li, and D. G. DeWitt. Skill of Real-time Seasonal ENSO Model Predictions during 2002-2011. Is Our Capability Increasing? Bull. Amer. Meteor. Soc., 93, 631-651, 2012. https://doi.org/10.1175/BAMS-D-11-00111.1
  165. M. Kulkarni, N. Acharya, S. Kar, U. Mohanty, M. K. Tippett, A. Robertson, J.-J. Luo, and T. Yamagata. Probabilistic prediction of Indian summer monsoon rainfall using global climate models. Theoretical and Applied Climatology, 107, 441-450, 2012. https://doi.org/10.1007/s00704-011-0493-x
  166. B. Lyon, M. A. Bell, M. K. Tippett, A. Kumar, M. P. Hoerling, X.-W. Quan, and H. Wang. Baseline probabilities for the seasonal prediction of meteorological drought. J. Appl. Meteor. Climatol., 51, 631-651, 2012. https://doi.org/10.1175/JAMC-D-11-0132.1
  167. X.-W. Quan, M. Hoerling, B. Lyon, A. Kumar, M. Bell, M. K. Tippett, and H. Wang. Prospects for dynamical prediction of meteorological drought. J. Appl. Meteor. Climatol., 51, 1222-1237, 2012. https://doi.org/10.1175/JAMC-D-11-0194.1
  168. A. W. Robertson, J.-H. Qian, M. K. Tippett, V. Moron, and A. Lucero. Downscaling of seasonal rainfall over the Philippines: Dynamical vs. statistical approaches. Mon. Wea. Rev., 140, 1204-1218, 2012. https://doi.org/10.1175/MWR-D-11-00177.1
  169. P. Sinha, U. C. Mohanty, S. C. Kar, S. K. Dash, A. W. Robertson, and M. K. Tippett. Seasonal prediction of the Indian summer monsoon rainfall using canonical correlation analysis of the NCMRWF global model products. Int. J. Climatol., 33, 1601-1614, 2012. https://doi.org/10.1002/joc.3536.
  170. M. K. Tippett, A. G. Barnston, and S. Li. Performance of recent multi-model ENSO forecasts. J. Appl. Meteor. Climatol., 51, 637-654, 2012. https://doi.org/10.1175/JAMC-D-11-093.1
  171. M. K. Tippett, A. H. Sobel, and S. J. Camargo. Association of U.S. tornado occurrence with monthly environmental parameters. Geophys. Res. Lett., 39, L02801, 2012. https://doi.org/10.1029/2011GL050368. Reported by: [Christian Science Monitor] [Fox News] [USA Today] [Claims Journal]
  172. T. DelSole, M. K. Tippett, and J. Shukla. A significant component of unforced multidecadal variability in the recent acceleration of global warming. J. Climate, 24, 909-926, 2011. https://doi.org/10.1175/2010JCLI3659.1
  173. S. J. Mason, M. K. Tippett, A. P. Weigel, L. Goddard, and B. Rajaratnam. Reply to "Comment on 'Conditional Exceedance Probabilities"'. Mon. Wea. Rev., 139, 3325-3327, 2011.
  174. M. K. Tippett, S. J. Camargo, and A. H. Sobel. A Poisson regression index for tropical cyclone genesis and the role of large-scale vorticity in genesis. J. Climate, 24, 2335-2357, 2011. https://doi.org/10.1175/2010JCLI3811.1
  175. M. K. Tippett, A. G. Barnston, and T. DelSole. Comment on "Finite samples and uncertainty estimates for skill measures for seasonal prediction". Mon. Wea. Rev., 138, 1487-1493, 2010. https://doi.org/10.1175/2009MWR3214.1
  176. T. DelSole and M. K. Tippett. Average Predictability Time: Part I. Theory. J. Atmos. Sci., 66, 1188-1204, 2009. https://doi.org/10.1175/2008JAS2868.1
  177. T. DelSole and M. K. Tippett. Average Predictability Time: Part II. Seamless Diagnoses of Predictability on Multiple Time Scales. J. Atmos. Sci., 66, 1172-1187, 2009. https://doi.org/10.1175/2008JAS2869
  178. B. Narapusetty, T. DelSole, and M. K. Tippett. Optimal estimation of the climatological mean. J. Climate, 22, 4845-4859, 2009. https://doi.org/10.1175/2009JCLI2944.1
  179. L. Zhang and P. Chang and M. K. Tippett. Linking the Pacific Meridional Mode to ENSO: Utilization of a Noise Filter. J. Climate, 22, 905-922, 2009. https://doi.org/10.1175/2008JCLI2474.1
  180. M. Barlow and M. K. Tippett. Variability and predictability of Central Asia river flows: Antecedent winter precipitation and large-scale teleconnections. J. of Hydrometeorology, 9, 1334-1349, 2008. https://doi.org/10.1175/2008JHM976.1
  181. T. DelSole and M. K. Tippett. Predictable components and singular vectors. J. Atmos. Sci., 65, 1666-1678, 2008. https://doi.org/10.1175/2007JAS2401.1
  182. M. K. Tippett. Comments on "The Discrete Brier and Ranked Probability Skill Scores". Mon. Wea. Rev., 136, 3629-3633, 2008. https://doi.org/10.1175/2008MWR2594.1
  183. M. K. Tippett and A. G. Barnston. Skill of multi-model ENSO probability forecasts. Mon. Wea. Rev., 136, 3933-3946, 2008. https://doi.org/10.1175/2008MWR2431.1
  184. M. K. Tippett, T. DelSole, S. J. Mason, and A. G. Barnston. Regression-based methods for finding coupled patterns. J. Climate, 21, 4384-4398, 2008. https://doi.org/10.1175/2008JCLI2150.1
  185. P. Chang, L. Zhang, R. Saravanan, D. J. Vimont, J. C. H. Chiang, L. Ji, H. Seidel, and M. K. Tippett. A thermodynamic trigger for El Niño-Southern Oscillation. Geophys. Res. Lett., 34, L16608, 2007. https://doi.org/10.1029/2007GL030302.
  186. T. DelSole and M. K. Tippett. Predictability: Recent insights from information theory. Rev. Geophys., 45, RG4002, 2007. https://doi.org/10.1029/2006RG000202.
  187. Y. Tang, H. Lin, J. Derome, and M. K. Tippett. A predictability measure applied to seasonal predictions of the Arctic Oscillation. J. Climate, 20, 4733-4750, 2007. https://doi.org/10.1175/JCLI4276.1
  188. M. K. Tippett, A. G. Barnston, and A. W. Robertson. Estimation of seasonal precipitation tercile-based categorical probabilities from ensembles. J. Climate, 20, 2210-2228, 2007. https://doi.org/10.1175/JCLI4108.1
  189. M. K. Tippett. Filtering of GCM simulated Sahel rainfall. Geophys. Res. Lett., 33, L01804, 2006. https://doi.org/10.1029/2005GL024923.
  190. M. K. Tippett and A. Giannini. Potentially predictable components of African summer rainfall in an SST-forced GCM simulation. J. Climate, 19, 3133-3144, 2006.https://doi.org/10.1175/JCLI3779.1
  191. M. K. Tippett, A. G. Barnston, D. G. DeWitt, and R.-H. Zhang. Statistical correction of tropical Pacific sea surface temperature forecasts. J. Climate, 18, 5141-5162, 2005. https://doi.org/10.1175/JCLI3581.1
  192. M. K. Tippett, L. Goddard, and A. G. Barnston. Statistical-Dynamical seasonal forecasts of Central Southwest Asia winter precipitation. J. Climate, 18, 1831-1843, 2005. https://doi.org/10.1175/JCLI3371.1
  193. J. W. Hansen, A. Potgieter, and M. K. Tippett. Using a general circulation model to forecast regional wheat yields in Northeast Australia. Agricultural and Forest Meteorology, 127, 77-92, 2004. https://doi.org/10.1016/j.agrformet.2004.07.005
  194. M. K. Tippett, R. Kleeman, and Y. Tang. Measuring the potential utility of seasonal climate predictions. Geophys. Res. Lett., 31, L22201, 2004. https://doi.org/10.1029/2004GL021575.
  195. C. H. Bishop, C. A. Reynolds, and M. K. Tippett. Optimization of the fixed global observing network in a simple model. J. Atmos. Sci., 60, 1471-1489, 2003. https://doi.org/10.1175/1520-0469(2003)060<1471:OOTFGO>2.0.CO;2
  196. M. K. Tippett, J. L. Anderson, C. H. Bishop, T. M. Hamill, and J. S. Whitaker. Ensemble square-root filters. Mon. Wea. Rev., 131, 1485-1490, 2003. https://doi.org/10.1175/1520-0493(2003)131<1485:ESRF>2.0.CO;2
  197. M. K. Tippett, M. Barlow, and B. Lyon. Statistical correction of Central Southwest Asia winter precipitation simulations. Int. J. Climatology, 23, 1421-1433, 2003. https://doi.org/10.1002/joc.947
  198. M. K. Tippett and P. Chang. Some theoretical considerations on predictability of linear stochastic dynamics. Tellus, 55, 148-157, 2003. https://doi.org/10.1034/j.1600-0870.2003.00008.x
  199. M. K. Tippett and S. E. Cohn. Adjoints and low-rank covariance representation. Nonlinear Processes in Geophysics, 8, 331-340, 2001.
  200. S. J. Camargo, M. K. Tippett, and I. L. Caldas. Nonmodal energetics of electromagnetic drift waves. Physics of Plasmas, 7, 2849-2865, 2000. https://doi.org/10.1063/1.874134
  201. M. K. Tippett, S. E. Cohn, R. Todling, and D. Marchesin. Conditioning of the stable, discrete-time Lyapunov operator. SIAM J. Matrix Anal. Appl., 22, 56-65, 2000.
  202. M. K. Tippett, S. E. Cohn, R. Todling, and D. Marchesin. Low-dimensional representation of error covariance. Tellus, 52, 533-553, 2000.
  203. M. K. Tippett. Transient moist baroclinic instability. Tellus, 51A, 273-288, 1999. https://doi.org/10.1034/j.1600-0870.1999.t01-2-00008.x
  204. M. K. Tippett and D. Marchesin. Bounds for solutions of the discrete algebraic Lyapunov equation. IEEE Trans. Automat. Contr., 44, 214-218, 1999. https://doi.org/10.1137/S0895479899354822
  205. M. K. Tippett and D. Marchesin. Upper bounds for the solution of the discrete algebraic Lyapunov equation. Automatica, 35, 1485-1489, 1999. https://doi.org/10.1016/S0005-1098(99)00041-2
  206. S. J. Camargo, M. K. Tippett, and I. L. Caldas. Nonmodal linear analysis of drift-wave turbulence models. Czechoslovak Journal of Physics, 48, 189-194, 1998. Suppl. 2. https://doi.org/10.1088/1367-2630/18/7/075018
  207. S. J. Camargo, M. K. Tippett, and I. L. Caldas. Nonmodal energetics of resistive drift waves. Phys. Rev. E, 58, 3693-3704, 1998. https://doi.org/10.1103/PhysRevE.58.3693.
  208. M. K. Tippett. Bounds for the solution of the discrete Lyapunov equation. Automatica, 34, 275-277, 1998.
  209. M. K. Tippett, S. J. Camargo, and I. L. Caldas. Modal and nonmodal linear stability of electromagnetic drift waves. In Festschrift for Abrahamm Zimmerman, volume 2 of Topics in Theoretical Physics. Insituto de Fisica Teorica, São Paulo, SP, Brazil, 1998.
  210. M. K. Tippett. Symplectic integrators for the ABC flow. Computing, 57, 63-75, 1996. https://doi.org/10.1007/BF02238358
  211. M. K. Tippett. Tokamak transport based on the 13-moment model. J. Plasma Phys., 54, 77-104, 1995. https://doi.org/10.1017/S0022377800018353
  212. M. K. Tippett and R. Ziolkowski. A bidirectional wave transformation of the cold plasma equations. J. Math. Phys., 32, 488-492, 1991.
  213. G. M. Zaslavsky and M. K. Tippett. Connection between recurrence time statistics and anomalous transport. Phys. Rev. Lett., 67, 3251-3254, 1991. https://doi.org/10.1103/PhysRevLett.67.3251
  214. R. Ziolkowski and M. K. Tippett. Collective effect in an electron plasma system catalyzed by a localized electromagnetic wave. Phys. Rev. A, 43, 3066-3072, 1991. https://doi.org/10.1103/PhysRevA.43.3066