Publications and Papers

Sobel, A., S. Wang, and D. Kim, 2014: Moist static energy budget of the MJO during DYNAMO. J. Atmos. Sci. doi: 10.1175/JAS-D-14

http://dx.doi.org/10.1175/JAS-D-14-0052.1

Subramanian, A. C. and G. J. Zhang, 2014: Diagnosing MJO Hindcast Biases in NCAR CAM3 Using Nudging During the DYNAMO Field Cam

http://dx.doi.org/10.1002/2013JD021370

Suzuki, J., M. Fujiwara, T. Nishizawa, R. Shirooka, K. Yoneyama, M. Katsumata, I. Matsui, and N. Sugimoto, 2014: The occurrence

http://dx.doi.org/10.1002/2013JD019960

Thompson, E., S. Rutledge, B. Dolan, and M. Thurai, 2015: Drop size distributions and radar observations of convective and stra

http://dx.doi.org/10.1175/JAS-D-14-0206.1

Tseng, K., C. Sui, and T. Li, 2015: Moistening Processes for Madden-Julian Oscillations during DYNAMO/CINDY. J. Climate. doi:10

http://dx.doi.org/10.1175/JCLI-D-14-00416.1

Wang, S., A. Sobel, F. Zhang, Y. Sun, Y. Yue, and L. Zhou, 2014: Regional simulation of the October and November MJO events obs

http://dx.doi.org/10.1175/JCLI-D-14-00294.1

Wang, W., A. Kumar, X. Fu, and M. Hung, 2015: What is the role of the seasurface temperature uncertainty in the prediction of t

http://dx.doi.org/10.1175/MWR-D-14-00385.1

Webber, B. G. M., A. J. Matthews, K. J. Heywood, J. Kaiser, and S. Schmidtko (2014), Seaglider observations of equatorial India

http://dx.doi.org/10.1002/2013JC009657

Wolding, B., and E. Maloney, 2015: Objective Diagnostics and the Madden-Julian Oscillation. Part I: Methodology. J. Climate. do

http://dx.doi.org/10.1175/JCLI-D-14-00688.1

Xiang, B., M. Zhao, X. Jiang, S. Lin, T. Li, X. Fu, and G. Vecchi, 2015: 3-4 week MJO prediction skill in a GFDL Coupled Model.

http://dx.doi.org/10.1175/JCLI-D-15-0102.1