Biblio

Chapman W.E, Subramanian AC, L. Monache D, Xie SP, Ralph FM.  2019.  Improving atmospheric river forecasts with machine learning.

Subramanian AC, Balmaseda M.A, Centurioni L, Chattopadhyay R., Cornuelle BD, DeMott C., Flatau M., Fujii Y., Giglio D., Gille ST et al..  2019.  Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability. 6

Mei W, Kamae Y., Xie SP, Yoshida K..  2019.  Variability and predictability of North Atlantic hurricane frequency in a large ensemble of high-resolution atmospheric simulations. 32:3153-3167.

Ludka B.C, Guza RT, O'Reilly W.C.  2018.  Nourishment evolution and impacts at four southern California beaches: A sand volume analysis. Coastal Engineering. 136:96-105.

Maynard J., van Hooidonk R., Eakin C.M, Puotinen M., Garren M, Williams G., Heron SF, Lamb J., Weil E., Willis B. et al..  2015.  Projections of climate conditions that increase coral disease susceptibility and pathogen abundance and virulence. Nature Climate Change. 5:688-+.