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岚县近54年气候变化特征分析 被引量:3
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作者 张国勇 刘谋荣 +2 位作者 杜月辉 李玉平 孙迎秀 《山西气象》 2011年第2期16-18,共3页
利用吕梁高海拔山区代表站岚县气象观测站1957年-2010年的气温、年(季)降水量、年日照时数、年蒸发量等地面气象资料,应用线性趋势函数分析法进行了统计分析。结果表明:岚县年平均气温呈上升趋势,冬季增温最显著;降水量的变化总... 利用吕梁高海拔山区代表站岚县气象观测站1957年-2010年的气温、年(季)降水量、年日照时数、年蒸发量等地面气象资料,应用线性趋势函数分析法进行了统计分析。结果表明:岚县年平均气温呈上升趋势,冬季增温最显著;降水量的变化总体上呈减少趋势,降水量的减少主要是夏季降水减少所引起。年日照时数有明显的下降趋势,年蒸发量则缓慢增加。 展开更多
关键词 线性趋势:气候变化 增温显著
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Linear trends in mean and extreme temperature in Xiongan New Area, China 被引量:2
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作者 QIAN Cheng CAO Li-Juan 《Atmospheric and Oceanic Science Letters》 CSCD 2018年第3期246-254,共9页
On 1 April 2017 China established Xiongan New Area in Hebei Province, which was described as ‘a strategy crucial for a millennium to come'. A point of interest for the public is to be aware of the historical climate... On 1 April 2017 China established Xiongan New Area in Hebei Province, which was described as ‘a strategy crucial for a millennium to come'. A point of interest for the public is to be aware of the historical climate change in this new area; however, results from previous global-scale or largerregional-scale averages provide relatively limited information because of the distinct regional differences in climate change. This study analyzes the changes in mean and extreme temperature in this area, based on homogenized daily temperature data for the period 1960–2016. The results show a significant warming in the indices of annual, summer, and winter mean temperature(Tmean), maximum temperature(Tmax), and minimum temperature(Tmin). The linear rate of annual Tmean is 0.34 °C/decade. Temperatures on the hottest day, the warmest night, the coldest day, and the coldest night, every year, all show increasing trends, with the trends in the two nighttime-related indices being significant. An increasing occurrence of warm days, warm nights, hot days, and tropical nights, but a decreasing occurrence of cold days, cold nights, icing days, and frost days, are found, all of which are significant, except for the occurrences of hot days and icing days. A significant extension of the length of the thermal growing season is also found. The magnitudes of change in most of the temperature indices in Xiongan New Area are larger than those of the adjacent Jing-Jin-Ji and North China regional mean. These results could provide valuable information for policymakers, city planners, engineers, and migrants to this new area. 展开更多
关键词 Xiongan New Area CLIMATECHANGE linear trend meantemperature extremetemperature
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Decadal Variability of Global Ocean Significant Wave Height 被引量:1
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作者 ZHENG Chongwei ZHOU Lin +2 位作者 SHI Weilai LI Xin HUANG Chaofan 《Journal of Ocean University of China》 SCIE CAS 2015年第5期778-782,共5页
This paper presents the long-term climate changes of significant wave height(Hs) in 1958–2001 over the entire global ocean using the 45-year European Centre for Medium-Range Weather Forecasts(ECMWF) Reanalysis(ERA-40... This paper presents the long-term climate changes of significant wave height(Hs) in 1958–2001 over the entire global ocean using the 45-year European Centre for Medium-Range Weather Forecasts(ECMWF) Reanalysis(ERA-40) wave data. The linear trends in Hs and regional and seasonal differences of the linear trends for Hs were calculated. Results show that the Hs exhibits a significant increasing trend of about 4.6 cm decade-1 in the global ocean as a whole over the last 44 years. The Hs changes slowly during the periods 1958–1974 and 1980–1991, while it increases consistently during the periods 1975–1980 and 1995–1998. The Hs reaches its lowest magnitude in 1975, with annual average wave height about 2 m. In 1992, the Hs has the maximum value of nearly 2.60 m. The Hs in most ocean waters has a significant increasing trend of 2–14 cm decade-1 over the last 44 years. The linear trend exhibits great regional differences. Areas with strong increasing trend of Hs are mainly distributed in the westerlies of the southern Hemisphere and the northern Hemisphere. Only some small areas show obvious decreasing in Hs. The long-term trend of Hs in DJF(December, January, February) and MAM(March, April, May) is much more stronger than that in JJA(June, July, August) and SON(September, October, November). The linear trends of the Hs in different areas are different in different seasons; for instance, the increasing trend of Hs in the westerlies of the Pacific Ocean mainly appears in MAM and DJF. 展开更多
关键词 global ocean significant wave height long-term trend regional differences seasonal differences dominant season
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