Sunshine Duration Variability in Haihe River Basin, China, during 1966–2015

Ren, J. R.; Lei, Xiaohui; Zhang, Yuhu; Wang, Mingna; Liu, Xiang

doi:10.3390/w9100770

Cited by 9 publications

(7 citation statements)

References 39 publications

(49 reference statements)

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“…There are generally few studies on the influential climatic factors in China. In this study, Win played a significant role in driving SD in HHB, and Pre prevailed in TMB from 1959 to 2017; these findings are in accordance with those of previous studies (You et al ., 2010; Ren et al ., 2017). Our results are generally in agreement with most previous studies, suggesting the rationality and reliability of this study.…”

Section: Resultsmentioning

confidence: 99%

“…Observations from a total of 839 meteorological stations throughout mainland China recorded by Campbell‐Stokes were collected for the SD data set. Such data set underwent rigorous quality processing and checks, which guarantees the consistency of the data (Ren et al ., 2017). Other climatic variables such as atmosphere pressure (Prs, Kpa), vapour pressure (Vp, Kpa), precipitation (Pre, mm), relative humanity (Rhu, %), and wind speed (Win, m⋅s –1 ) were also obtained from the CMA with the same 839 stations, and the data set quality was strictly controlled by the CMA (Wang et al ., 2017b).…”

Section: Methodsmentioning

confidence: 99%

“…Such data set underwent rigorous quality processing and checks, which F I G U R E 1 Spatial distribution of the11 sub-regions. The codes represent: 1-Heilongjiang River basin (HLB); 2-Liaohe River basin (LHB); 3-Haihe River basin (HHB); 4-Yellow River Basin (YRB); 5-Huaihe River basin (HRB); 6-Yangtze River basin (YTB); 7-Zhejiang-Jiangxi basin (ZJB); 8-Pearl River basin (PRB);9-Tibetan Mastiff basin (TMB); 10-Indian River basin (IRB); 11-northwest Inland River basin (NIB) [Colour figure can be viewed at wileyonlinelibrary.com] guarantees the consistency of the data (Ren et al, 2017). Other climatic variables such as atmosphere pressure (Prs, Kpa), vapour pressure (Vp, Kpa), precipitation (Pre, mm), relative humanity (Rhu, %), and wind speed (Win, mÁs -1 ) were also obtained from the CMA with the same 839 stations, and the data set quality was strictly controlled by the CMA (Wang et al, 2017b).…”

Section: Datamentioning

confidence: 99%

See 2 more Smart Citations

Spatiotemporal variability of sunshine duration and influential climatic factors in mainland China during 1959–2017

Xiong

Lai

Liao

et al. 2020

Intl Journal of Climatology

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Sunshine duration (SD) is a key index with which to quantitatively measure the intensity and duration of solar radiation. The exploration of spatiotemporal characteristics and potential influential factors for SD could help us better understand solar radiation variability. In this study, we first explore the spatiotemporal variability of SD across mainland China during 1959-2017, then identify the predominant influential climatic factors and detect their relative influence of temporal dynamic on SD, and finally discuss the relative influential rates of climatic factors and detect the dominating climatic factor on a spatial scale. The results show that: Firstly, the annual and seasonal SD gradually decreased from the northwest to southeast across mainland China; a significant decreasing trend (p < .05) was detected for annual SD at a rate of −2.7 hÁa-1 , a turning point significantly occurred in 1986 (p < .05) in the year SD series, and oscillation periods of 2.4-3.8 years existed in mainland China and most sub-regions. Secondly, the significant (p < .05) decrease of wind speed (Win), increase of precipitation (Pre), and increase of vapour pressure (Vp) were responsible for the decreasing trend of SD with relative influential rates of 39.9, 30.6, and 29.5%, respectively. Thirdly, temporally, the relative influential rate of each climatic variable changed over time; spatially, Win dominated most areas of mainland China (55.9%) during 1959-2017, followed by Pre (24.9%) and Vp (19.2%).

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

See 1 more Smart Citation

Spatiotemporal variability of sunshine duration and influential climatic factors in mainland China during 1959–2017

Xiong

Lai

Liao

et al. 2020

Intl Journal of Climatology

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“…The factors attributed to the decrease in sunshine duration and wind speed also vary among studies [36,[80][81][82]. For sunshine duration, multiple studies have concluded that this decrease may be related to the increase in aerosols and other air pollutants [3,83]. In other studies, it is argued that the decrease may be related to the increase in cloud cover.…”

Section: Discussionmentioning

confidence: 99%

Meteorological Factors Affecting Pan Evaporation in the Haihe River Basin, China

Yan

Wang

et al. 2019

Water

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Pan evaporation (Epan) is an important indicator of regional evaporation intensity and degree of drought. However, although more evaporation is expected under rising temperatures, the reverse trend has been observed in many parts of the world, known as the “pan evaporation paradox”. In this paper, the Haihe River Basin (HRB) is divided into six sub-regions using the Canopy and k-means (The process for partitioning an N-dimensional population into k sets on the basis of a sample is called “k-means”) to cluster 44 meteorological stations in the area. The interannual and seasonal trends and the significance of eight meteorological indicators, including average temperature, maximum temperature, minimum temperature, precipitation, relative humidity, sunshine duration, wind speed, and Epan, were analyzed for 1961 to 2010 using the trend-free pre-whitening Mann-Kendall (TFPW-MK) test. Then, the correlation between meteorological elements and Epan was analyzed using the Spearman correlation coefficient. Results show that the average temperature, maximum temperature, and minimum temperature of the HRB increased, while precipitation, relative humidity, sunshine duration, wind speed and Epan exhibited a downward trend. The minimum temperature rose 2 and 1.5 times faster than the maximum temperature and average temperature, respectively. A significant reduction in sunshine duration was found to be the primary factor in the Epan decrease, while declining wind speed was the secondary factor.

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“…In this study, the temporal trend is analyzed by using linear trend analysis, mutation test, and significance test, and Universal Kriging spatial interpolation method was used to analyze spatial changes (Hu et al, 2003;Ren et al, 2017). Mann-Kendall (M-K) nonparametric test can be very effective for testing time series (Kendall, 1948).…”

Section: Time Series Analysis Methodsmentioning

confidence: 99%

A new view on the trend of solar radiation in mainland China — based on the optimized empirical model

Feng

Guo

Han

et al. 2021

Theor Appl Climatol

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As a kind of renewable energy, the development and utilization of solar energy is valued by many countries. To accurately provide a basis for the use of solar energy in mainland China, the optimized empirical model is adopted to analyze the variation trends and spatial patterns in solar radiation (SR) during 1961-2016 based on the data of 31 SR sites and 500 sunshine duration (SD) stations. The results indicate that there are obvious discrepancies in the variation trends of annual SR and SD during 1961-2016, with trend conversion occurring in 1992 (SR) and 1980 (SD), respectively. Overall, annual SR decreases at the rate of -3.68 MJ/m²•a in China. Notably, SR declines at the rate of -16.95 MJ/m²•a during 1961-1989 ("dimming" stage), while it increases at the rate of 5.34 MJ/m²•a for 1990-2016 ("brightening" period). In addition, all seasons show a tendency of dimming first and then brightening except for autumn. Compared with SD, SR is more sensitive to changes in pollution, leading to a marked recovery with the reduction of pollution after the 1990s. This study provides a new perspective for the trend difference between SR and SD after the 1990s.

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Sunshine Duration Variability in Haihe River Basin, China, during 1966–2015

Cited by 9 publications

References 39 publications

Spatiotemporal variability of sunshine duration and influential climatic factors in mainland China during 1959–2017

Spatiotemporal variability of sunshine duration and influential climatic factors in mainland China during 1959–2017

Meteorological Factors Affecting Pan Evaporation in the Haihe River Basin, China

A new view on the trend of solar radiation in mainland China — based on the optimized empirical model

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