scholarly journals Long-term trend of chemical composition of atmospheric precipitation at a regional background station in Northern China

2017 ◽  
Vol 580 ◽  
pp. 1340-1350 ◽  
Author(s):  
Weiwei Pu ◽  
Weijun Quan ◽  
Zhiqiang Ma ◽  
Xuefeng Shi ◽  
Xiujuan Zhao ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Atmospheric Precipitation ◽  
Northern China ◽  
Term Trend ◽  
Regional Background ◽  
Long Term Trend

scholarly journals Observed Characteristics of Hail Size in Four Regions in China during 1980–2005

2010 ◽  
Vol 23 (18) ◽  
pp. 4973-4982 ◽  
Author(s):  
Baoguo Xie ◽  
Qinghong Zhang ◽  
Yuqing Wang
Keyword(s):  
Northern China ◽  
Guizhou Province ◽  
Southwestern China ◽  
Autonomous Region ◽  
Term Trend ◽  
Freezing Level ◽  
Working Together ◽  
Inner Mongolia Autonomous Region ◽  
Long Term Trend

Abstract The climatology and long-term trend of hail size in four regions of China are documented for the period of 1980–2005 using the maximum hail diameter (MHD) data obtained from the Meteorological Administrations of Xinjiang Uygur Autonomous Region (XUAR), the Inner Mongolia Autonomous Region (IMAR), Guizhou Province, and Hebei Province. The reported MHD is mainly around 10 mm in the four regions. Guizhou (in southwestern China) has the largest proportion of severe hail (MHD greater than 15 mm) among the four regions. Severe hail in southwestern China mainly occurs between February and June, while in northern China it occurs in summer (from May to August) with the peak in June. During the period studied, the size of severe hail shows a slight downtrend in Guizhou and IMAR, whereas it shows an uptrend and a flat trend in Hebei and XUAR, respectively. However, none of the trends is statistically significant. Results from sensitivity experiments using a one-dimensional numerical model show that hail size is sensitive to the freezing level height, the maximum updraft, and column cloud liquid water—all working together to determine the geographic distribution and long-term trend of the observed hail size in China.

NAEP Trends: Main NAEP vs. Long-Term Trend

2010 ◽  
Author(s):  
Albert E. Beaton ◽  
James R. Chromy
Keyword(s):  
Term Trend ◽  
Long Term Trend

Environmental behavior and potential driving force of bisphenol A in the Elbe River: A long-term trend study

2020 ◽  
pp. 143251
Author(s):  
Zhenyu Huang ◽  
Pei Hua ◽  
Zhenyu Wang ◽  
Ruifei Li ◽  
Liang Dong ◽  
...  
Keyword(s):  
Bisphenol A ◽  
Driving Force ◽  
Environmental Behavior ◽  
Elbe River ◽  
Trend Study ◽  
Term Trend ◽  
The Elbe River ◽  
Long Term Trend

Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station

2021 ◽  
Author(s):  
Zhaoliang Zeng ◽  
Zemin Wang ◽  
Minghu Ding ◽  
Xiangdong Zheng ◽  
Xiaoyu Sun ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Trend Analysis ◽  
Surface Solar Radiation ◽  
Term Trend ◽  
Zhongshan Station ◽  
Long Term Trend

scholarly journals A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0)

2021 ◽  
Vol 38 (10) ◽  
pp. 1791-1802
Author(s):  
Peiyan Chen ◽  
Hui Yu ◽  
Kevin K. W. Cheung ◽  
Jiajie Xin ◽  
Yi Lu
Keyword(s):  
Tropical Cyclones ◽  
Potential Risk ◽  
Risk Index ◽  
Chinese Mainland ◽  
Current Version ◽  
Term Trend ◽  
The Chinese Mainland ◽  
Landfalling Tropical Cyclones ◽  
Long Term Trend

AbstractA dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.

The 154-year record of sea level at San Francisco: extracting the long-term trend, recent changes, and other tidbits

2010 ◽  
Vol 36 (3-4) ◽  
pp. 545-559 ◽  
Author(s):  
Laurence C. Breaker ◽  
Alexander Ruzmaikin
Keyword(s):  
Sea Level ◽  
San Francisco ◽  
Term Trend ◽  
Long Term Trend
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