新旧气候态差异对青海省气候评价业务的影响
The Impact of differences in old and new climate states on climate assessment operations in Qinghai Province
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摘要: 基于1961—2020年青海省42个气象站的气温和降水量资料,对比分析新旧气候态气温和降水的差异,并探讨气候态改变对气候业务的影响。结果表明:启用新气候态后,气温偏低和降水偏少年份在增加,气温偏高和降水偏多年份在减少,气候态改变对气温的影响较对降水量的影响更为明显。年、季、月平均气温、最高气温和最低气温均呈增温特征,东部农业区增幅最为明显,平均气温和最高气温以春季增幅最大,最低气温以夏季增幅最大,月平均气温和最高气温2月、4月增幅最大,最低气温2月、8月和11月增幅最大;年和四季降水量一致增加,空间分布均有所差异,月降水量除12月减少,其余月增加。气候平均值改变后,气温和降水等级整体由正距平向负距平方向调整,冷暖冬、极端气候事件出现频次发生变化,减弱了极端日高温事件的增速,加快了极端日低温事件的降速。Abstract: The differences of temperature and precipitation between the old and new climate states were compared and analyzed based on the temperature and precipitation data of 42 meteorological stations in Qinghai Province from 1961 to 2020,then discussed the influence of climate state change on climate operation.The results showed that the years with low temperature and low precipitation were increasing,while the years with high temperature and low precipitation were decreasing after activating new climate state.The effect of climate state change on temperature is more obvious than that of precipitation.The annual,seasonal and monthly average temperature,maximum temperature and minimum temperature all show increasing characteristics,with the most obvious increase in eastern agricultural areas,and the average temperature and the maximum temperature increase the most in spring .The minimum temperature increases the most in summer, the monthly average temperature and maximum temperature increase the most in February and April,and the minimum temperature increases the most in February,August and November.The annual and seasonal precipitation increased consistently,but the spatial distribution was different.The monthly precipitation decreased in December and increased in other months.After the change of climate average,the overall temperature and precipitation levels were adjusted from positive anomaly to negative anomaly,and the frequency of cold,warm winter and extreme climate events changed,which weakened the growth rate of extreme daily high temperature events and accelerated the deceleration of extreme daily low temperature events.
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