Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 001:;page 163
Author(s): Vitart, F.; Ardilouze, C.; Bonet, A.; Brookshaw, A.; Chen, M.; Codorean, C.; Déqué, M.; Ferranti, L.; Fucile, E.; Fuentes, M.; Hendon, H.; Hodgson, J.; Kang, H.-S.; Kumar, A.; Lin, H.; Liu, G.; Liu, X.; Malguzzi, P.; Mallas, I.; Manoussakis, M.; Mastrangelo, D.; MacLachlan, C.; McLean, P.; Minami, A.; Mladek, R.; Nakazawa, T.; Najm, S.; Nie, Y.; Rixen, M.; Robertson, A. W.; Ruti, P.; Sun, C.; Takaya, Y.; Tolstykh, M.; Venuti, F.; Waliser, D.; Woolnough, S.; Wu, T.; Won, D.-J.; Xiao, H.; Zaripov, R.; Zhang, L.
Publisher: American Meteorological Society
Abstract: emands are growing rapidly in the operational prediction and applications communities for forecasts that fill the gap between medium-range weather and long-range or seasonal forecasts. Based on the potential for improved ...
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