云南不同氣候帶極端氣溫變化趨勢
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國家自然科學(xué)基金(40905033)、國家自然科學(xué)聯(lián)合基金重點項目(U1133603)、云南省應(yīng)用基礎(chǔ)重點項目(2011FA031)、云南省氣象局氣候變化專項(QH201002)資助


Trends of Extreme Temperature under Different Climate Backgrounds in Yunnan Province
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    摘要:

    利用1975—2008年云南6個氣候代表站的最高氣溫、最低氣溫和平均氣溫資料,分析了氣溫序列的變化趨勢,探討了可能的形成原因。結(jié)果顯示,各代表站的氣溫總體上呈上升趨勢,但氣溫變化率的大小與其所處的氣候帶之間沒有明顯的規(guī)律性差異。代表高原氣候的香格里拉站其氣溫增暖趨勢最突出,代表北亞熱帶、中亞熱帶和南亞熱帶站點的氣溫與其有相似的變化趨勢,主要表現(xiàn)為最低氣溫增溫速率最大,平均氣溫次之,最高氣溫最小,而氣溫日較差(DTR:〖WTBZ〗Difference of Temperature Range)有明顯減小趨勢。溫帶和北熱帶代表站氣溫的變化則有不同的特征,溫帶的變化表現(xiàn)為最高氣溫顯著上升,最低氣溫上升速率略小于平均氣溫的上升速率,DTR〖WTBZ〗變化不顯著;北熱帶的變化表現(xiàn)為平均氣溫增溫速率最大,最低氣溫次之,最高氣溫最小,DTR〖WTBZ〗變化不顯著。對各站相對暖日、冷日、暖夜、冷夜和霜日的逐年統(tǒng)計分析表明,總體上云南的冷事件在減少,而暖事件增多。

    Abstract:

    Using the daily maximum, minimum, and mean temperature data sets from 1975 to 2008 of six representative climate stations in Yunnan Province, the trends of extreme temperature are analyzed and the possible causes are discussed. The results show that the temperature trends of all representative climate stations were generally rising, while there was no systematic difference among them. Especially, the warming trends of Shangrila (representing the Plateau Climate) were distinct. The main features include: the warming rate of minimum temperature was the biggest; that of mean temperature was the next, and that of maximum temperature was the smallest. Meanwhile DTR (Diurnal Temperature Range) showed significant decreasing trend, which resembled the features of the Northern, Middle and Southern Subtropical Zones. However, the temperature in the temperate zone and the Northern tropical zone displayed different characteristics. As for the temperate zone, the maximum temperature increased significantly, and the growth rate of minimum temperature was slightly less than that of mean temperature, while DTR had no significant variation. With regard to the Northern tropical zone, the growth rate of mean temperature was the greatest, then the minimum temperature, and the maximum temperature the least, and there was no significant change in DTR. In addition, the statistical analysis of warm days, cold days, warm nights, cold nights, and frost days show that cold events were decreasing and warm events were increasing.

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陳艷,段旭,董文杰,郭世昌.云南不同氣候帶極端氣溫變化趨勢[J].氣象科技,2013,41(1):126~130

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  • 收稿日期:2011-08-25
  • 定稿日期:2012-04-05
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  • 在線發(fā)布日期: 2013-02-01
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