Dan Vimont



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Results: Found 198 records (displaying records 26 through 50)


26. Atwood, Alyssa R.; Battisti, D. S.; Wittenberg, A. T.; Roberts, W. H. G. and Vimont, D. J. Characterizing unforced multi-decadal variability of ENSO: A case study with the GFDL CM2.1 coupled GCM. Conference on Climate Variability and Change, 29th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 10B.4.
27. Dixon, Ross D.; Daloz, Anne Sophie; Vimont, Daniel J. and Biasutti, Michela. Saharan heat low biases in CMIP5 models. Journal of Climate, Volume 30, Issue 8, 2017, pp.2867-2884. Reprint # 7893.
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28. Thomas, Erin; Vimont, D. J.; Newman, M. and Martinez-Villalobos, C. Stochastic forcing structures conducive to Eastern and Central Pacific ENSO characteristics. Conference on Climate Variability and Change, 29th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 11A.4.
29. Martinez-Villalobos, Cristian and Vimont, Daniel J. An analytical framework for understanding tropical meridional modes. Journal of Climate, Volume 30, Issue 9, 2017, pp.3303-3323. Reprint # 7909.
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30. Larson, Sarah M.; Kirtman, Ben P. and Vimont, Daniel J. A framework to decompose wind-driven biases in climate models applied to CCSM/CESM in the Eastern Pacific. Journal of Climate, Volume 30, Issue 21, 2017, pp.8763-8782. Reprint # 8177.
31. Atwood, A. R.; Battisti, D. S.; Wittenberg, A. T.; Roberts, W. H. G. and Vimont, D. J. Characterizing unforced multi-decadal variability of ENSO: A case study with the GFDL CM2.1 coupled GCM. Climate Dynamics, Volume 49, Issue 7, 2017, pp.2845-2862. Reprint # 8290.
32. Vimont, Daniel J.; Lorenz, D. J. and Kirchmeier, M. A probabilistic approach to climate downscaling: Flexibility and realistic representation of extremes. Conference on Climate Variability and Change, 29th, and Conference on Hydrology, 31st, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract J1.4.
33. Dixon, Ross D. and Vimont, D. J. Understanding tropical Atlantic precipitation bias across CMIP5 models. Conference on Climate Variability and Change, 29th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 7B.2.
34. Martinez-Villalobos, Cristian and Vimont, D. J. An analytical framework for understanding tropical meridional modes. Conference on Climate Variability and Change, 29th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 8.3.
35. Atwood, Alyssa R.; Battisti, D. S.; Wittenberg, A. T.; Roberts, W. H. G. and Vimont, D. J. Characterizing unforced multi-decadal variability of ENSO: A case study with the GFDL CM2.1 coupled GCM. Conference on Climate Variability and Change, 29th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 10B.4.
36. Thomas, Erin; Vimont, D. J.; Newman, M. and Martinez-Villalobos, C. Stochastic forcing structures conducive to Eastern and Central Pacific ENSO characteristics. Conference on Climate Variability and Change, 29th, Seattle, WA, 21-26 January 2017. American Meteorological Society, Boston, MA, 2017, Abstract 11A.4.
37. Martinez-Villalobos, Cristian and Vimont, Daniel J. An analytical framework for understanding tropical meridional modes. Journal of Climate, Volume 30, Issue 9, 2017, pp.3303-3323. Reprint # 7909.
PDF Document Link to PDF
38. Larson, Sarah M.; Kirtman, Ben P. and Vimont, Daniel. A framework to decompose wind-driven biases in climate models applied to CCSM/CESM in the eastern Pacific. AGU Fall Meeting, New Orleans, LA, 11-15 December 2017. American Geophysical Union, Washington, DC, 2017, Abstract A11D-1908.
39. Dixon, Ross D.; Daloz, Anne Sophie; Vimont, Daniel J. and Biasutti, Michela. Saharan heat low biases in CMIP5 models. Journal of Climate, Volume 30, Issue 8, 2017, pp.2867-2884. Reprint # 7893.
PDF Document Link to PDF
40. Larson, Sarah M.; Kirtman, Ben P. and Vimont, Daniel. A framework to decompose wind-driven biases in climate models applied to CCSM/CESM in the eastern Pacific. AGU Fall Meeting, New Orleans, LA, 11-15 December 2017. American Geophysical Union, Washington, DC, 2017, Abstract A11D-1908.
41. Kirchmeier-Young, Megan C.; Lorenz, David J. and Vimont, Daniel J. Extreme event verification for probabilistic downscaling. Journal of Applied Meteorology and Climatology, Volume 55, Issue 11, 2016, pp.2411-2430. Reprint # 7754.
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42. Kirchmeier-Young, Megan C.; Lorenz, David J. and Vimont, Daniel J. Extreme event verification for probabilistic downscaling. Supplementary material. Journal of Applied Meteorology and Climatology, Volume 55, Issue 11, 2016, doi/suppl/10.1175/JAMC-D-16-0043.1. Reprint # 7754.
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43. Thomas, Erin E. and Vimont, Daniel J. Modeling the mechanisms of linear and nonlinear ENSO responses to the Pacific meridional mode. Journal of Climate, Volume 29, Issue 24, 2016, pp.8745-8761. Reprint # 7775.
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44. Martinez-Villalabos, Cristian and Vimont, Daniel J. The role of the mean state in meridional mode structure and growth. Journal of Climate, Volume 29, Issue 10, 2016, pp.3907-3921. Reprint # 7595.
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45. Kirchmeier-Young, Megan C.; Lorenz, David J. and Vimont, Daniel J. Extreme event verification for probabilistic downscaling. Supplementary material. Journal of Applied Meteorology and Climatology, Volume 55, Issue 11, 2016, doi/suppl/10.1175/JAMC-D-16-0043.1. Reprint # 7754.
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46. Thomas, Erin E. and Vimont, Daniel J. Modeling the mechanisms of linear and nonlinear ENSO responses to the Pacific meridional mode. Journal of Climate, Volume 29, Issue 24, 2016, pp.8745-8761. Reprint # 7775.
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47. Zimmerman, Brian G.; Vimont, Daniel J. and Block, Paul J. Utilizing the state of ENSO as a means for season-ahead predictor selection. Water Resources Research, Volume 52, Issue 5, 2016, pp.3761-3774. Reprint # 7626.
48. Martinez-Villalabos, Cristian and Vimont, Daniel J. The role of the mean state in meridional mode structure and growth. Journal of Climate, Volume 29, Issue 10, 2016, pp.3907-3921. Reprint # 7595.
PDF Document Link to PDF
49. Kirchmeier-Young, Megan C.; Lorenz, David J. and Vimont, Daniel J. Extreme event verification for probabilistic downscaling. Journal of Applied Meteorology and Climatology, Volume 55, Issue 11, 2016, pp.2411-2430. Reprint # 7754.
PDF Document Link to PDF
50. Zimmerman, Brian G.; Vimont, Daniel J. and Block, Paul J. Utilizing the state of ENSO as a means for season-ahead predictor selection. Water Resources Research, Volume 52, Issue 5, 2016, pp.3761-3774. Reprint # 7626.