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Construction of Ground Temperature Series and Its Characteristics from 1905 to 2018 in Zhejiang Province
XIAO Jingjing, MA Hao, ZHANG Yuhui, HE Zhonghua, LI Na, WEN Quanpei, LI Zhengquan
Journal of Arid Meteorology    2021, 39 (3): 386-393.  
Abstract351)      PDF(pc) (2445KB)(1548)       Save
Based on 0 cm and 20 cm monthly average ground temperature and air temperature from 68 meteorological stations in Zhejiang Province from 1951 to 2018, and the annual average temperature for one hundred years at Hangzhou and Wenzhou stations, the 0 cm and 20 cm annual average ground temperature in Zhejiang Province from 1905 to 2018 were established by using the method of global correction of local station observations (GAoSV). The spatialtemporal characteristics of ground temperature at a century scale were analyzed through Morlet wavelet analysis, MK test and other climatic statistical diagnosis methods. The results are as follows: (1) The climate tendency rate of 0 cm and 20 cm ground temperature in Zhejiang was 0.2 ℃·(10 a)-1 (P<0.05) from 1905 to 2018. The highest, lowest and average value was 20.5,16.5 and 18.6 ℃ at a depth of  0 cm, and 19.9, 16.1 and 18.1 ℃ at a depth of 20 cm, respectively. (2) Under the background of climate warming, the ground temperature in Zhejiang Province experienced a “coldwarm” climate evolution, and the ground temperature was lower before the mid1990s and higher after that. Two obvious rising stages were during 1905-1925 and 1991-2018, respectively. (3) The spatial distribution of 0 cm and 20 cm annual average ground temperature in Zhejiang Province showed the same spatial distribution characteristics with low in the north and high in the south. The high value areas were distributed in Wencheng, Longquan, Lishui and the south of Wenling, while the low value areas were distributed in Anji, Xiaoshan, Deqing, Huzhou, Changxing. (4) Obvious oscillation periods of 2-6 years, 6-8 years and 16-20 years in different periods were detected through analyzing annual average ground temperature of 0 cm and 20 cm in Zhejiang Province from 1905 to 2018, and the abrupt point occurred around 1986.
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Design and Implementation of the On -line Displaying System Associated with the Extended - range Synoptic Processes Forecast
MA Hao,FAN Gaofeng,LI Zhengquan,MAO Yuding,LEI Yuan
Journal of Arid Meteorology    2015, 33 (1): 167-173.   DOI: 10. 11755 / j. issn. 1006 - 7639( 2015)- 01 - 0167
Abstract1399)      PDF(pc) (2452KB)(2006)       Save

Recently,frequent occurrence of extreme weather and climate events had caused serious impacts on people s production and livelihood,so the extended - range weather forecast attracted more and more attention. With the national spread and promotion of the low - frequency synoptic chart,extended - range synoptic processes forecast was developing vigorously throughout the country. To better satisfy the service need of synoptic processes forecast,an on - line displaying system associated with the extended - range synoptic processes forecast was developed in Zhejiang Climate Center. In this paper,the design philosophy,detailed structure,and the thoughts of future improvement and optimization were introduced extensively. The on - line displaying system included two columns,i. e. ,the heavy rainfall processes and the intensive air - temperature reduction processes based on different objects of forecast. The column of heavy rainfall processes consisted of the figure comparing between forecast and the actual state,forecast document,table of dynamic scores,table of brief description of the realistic observation,and table of detailed description of the realistic observation. The contents of intensive air - temperature reduction processes column were similar to that of the heavy rainfall processes,but the table of dynamic scores was omitted. In the future,the system will receive more improvement and optimization through designing more suitable indices and establishing the marking scheme for intensive air - temperature reduction processes and expanding the components of extended-range synoptic processes forecast.

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