11.3
An assessment of the regional impacts of the 1997-98 El Niņo/La Niņa on summer rainfall over China
K.-M. Lau, NASA/GSFC, Greenbelt, MD; and H. -. Y. Weng
We have identified three principal modes of summertime rainfall variability over China and global sea surface temperature (SST) for the period 1955-1998. Using these modes, we have assessed the impact of the El Niņo/La Niņa on major drought and flood occurrence over China during 1997-1998. The first mode can be identified with the growth phase of El Niņo superimposed on a linear warming trend since the mid-1950s. This mode strongly influences rainfall over northern China. The second mode comprises of a quasi-biennial tendency manifested in alternate wet and dry years over the Yangtze River Valley (YRV) of central China. The third mode is dominated by a quasi-decadal oscillation in eastern China between the Yangtze River and the Yellow River.
Using a mode-by-mode reconstruction, we evaluate the impacts of the various principal modes on the 1997 and 1998 observed rainfall anomaly. We find that the severe drought in northern China, and to a lesser degree the flood in southern China, in 1997 is likely a result of the influence of anomalous SST forcing during the growth phase of the El Niņo. In addition, rainfall in southern China may be influenced by the decadal or long-term SST variability. The severe flood over the Yangtze River Valley in 1998 is associated with the biennial tendency of basin scale SST during the transition from El Niņo to La Niņa in 1997-98. Additionally, the observed prolonged drought over northern China and increasing flooding over the YRV since the 1950s may be associated with a long-term warming trend in the tropical Indian and western Pacific ocean. During 1997, the El Niņo SST exacerbated the drought situation over northern China. In 1998, the drought appeared to get temporary relief from the La Niņa anomalous SST forcing.
Session 11, Recent Weather Extremes (Parallel with Session 10A)
Thursday, 11 May 2000, 3:20 PM-5:00 PM
Previous paper Next paper