Alpine meadows in the Hengduan Mountains of northwestern Yunnan, P.R. China are incredibly diverse. The regional climate is warming at a relatively rapid rate. In this paper, analyses of historical climate station data show that mean annual temperature over the last two decades has increased at a rate of 0.6°C/10 yr. In addition, analyses of historical remote sensing data show that the vegetation distribution in this region has changed evidently. We present simulation results from a general circulation model (HadCM3) and a dynamic vegetation model (MC1) showing how changes in future climate may alter alpine ecosystem of the Baima Nature Reserve in northwestern Yunnan.
Based on the TRMM (Tropical Rainfall Measuring Missio) remote sensing data, the relationship between the daily
precipitation and the SST (Sea Surface Temperature) in the low latitude ocean area were analyzed during the Asia
monsoon season in this paper. By calculated the corresponding and lag correlation coefficient of the precipitation and the
SST in the low latitude ocean area in different domain, the paper discussed the relationship between the daily
precipitation and the SST in these areas during the onset, the middle and the terminative period of Asia monsoon season.
The results shown that the relationship was differently in dissimilitude ocean area and period.
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