Spatiotemporal variations of photosynthetically active radiation and the influencing factors in China from 1961 to 2016

Niu, Zigeng; Wang, Lunche; Niu, Ying; Hu, Bo; Zhang, Ming; Qin, Wenmin

doi:10.1007/s00704-018-2727-7

Cited by 16 publications

(9 citation statements)

References 48 publications

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“…Several authors have pointed out the scarcity of PAR measurements (e.g. Ferrera-Cobos et al, 2020;Niu et al, 2019;Wang et al, 2016) and the absence of a worldwide measurement network with standardized protocols (Ge et al, 2011) as the main reasons explaining the reduced number of studies about PAR. This lack of measurements is much more remarkable for the PARDiffuse component, which requires a shading device that prevents the sensor from the direct component.…”

mentioning

confidence: 99%

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Lozano

Sánchez-Hernández

Guerrero-Rascado

et al. 2022

Atmospheric Research

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mentioning

confidence: 99%

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Lozano

Sánchez-Hernández

Guerrero-Rascado

et al. 2022

Atmospheric Research

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“…There are large differences in RH trends in the periods of 1961-2002and 2003-2015. For example, from 1961-2002, the RH in most regions and throughout China shows significant increasing trends; slight increases are observed only in EC and SC (at 0.07 and 0.09% decade −1 , respectively), while the trends in ENC, NEC and NC are less than zero (−0.12, −0.20 and − 0.06% decade −1 ).…”

Section: Discussionmentioning

confidence: 99%

“…This phenomenon may explain the stronger decrease in RH from 2003–2015 compared to 1961–2002 and the decline in RH in northwestern China. Another study has reported that the RH in northwest China has a significant negative correlation with the sunshine duration (Huang et al ., 2011), and in previous research, we found that the sunshine duration showed an increasing trend in West China from 1961–2016 (Niu et al ., 2018), especially in the southeast region of the Qinghai‐TP. This finding may explain the largest reduction in RH at this location.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal variations in monthly relative humidity in China based on observations and CMIP5 models

Niu

Wang

Fang

et al. 2020

Intl Journal of Climatology

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The variation trends in surface relative humidity (RH) are analyzed from 1961 to 2015 in China and its eight subregions based on monthly mean surface RH data from 2,474 stations provided by the National Meteorological Information Center of China (NMIC). The annual mean surface RH is 59% in China, with a clear maximum and minimum in South China (SC, 80%) and over the Tibetan Plateau (TP, 45%). From 1961 to 2002, the regional RH shows increasing trends in most regions of China, but a particularly sharp reduction in RH is evident since 2003 in each subregion and throughout China, leading to a decreasing RH in China from 1961 to 2015. The decline is larger in East China (EC, −0.58% decade −1) and SC (−0.59% decade −1) than that in the West of Northwest China (WNC, −0.11% decade −1) and North China (NC, −0.05% decade −1), and the decreasing trend is −0.30% decade −1 throughout all of China. A drier trend has been observed in most regions of China, especially in urban and high-altitude areas, which suggests that the water vapour supply from the ocean is limited, accompanied by weakened monsoons, and the increase in sunshine duration in northwestern China also causes a decrease in surface RH. On the other hand, urbanisation will also lead to local urban dry island effects in some regions with large populations and rapid urbanization. Finally, the RH would decrease more rapidly under the RCP8.5 scenario than under the RCP4.5 scenario because of the asymmetrical increase in vapour pressure and saturation vapour pressure under increasing temperature.

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“…However, it remains in dispute how much rapid urbanization has contributed to warming in mainland China at the national scale (Jin et al, 2018;Ren and Ren, 2011;Ren and Zhou, 2014;Shi et al, 2019;Sun et al, 2016;Wang et al, 2015a). For example, Ren and Zhou (2014) found that the contribution of urbanization to the increase in mean Ta in mainland China was 15.4% over the period 1961-2008. Wang et al (2015a found a negligible contribution (approximately 0.35%) of urbanization to the warming trend in mainland China for the period 1951-2010.…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, the contribution of urbanization may be underestimated when the station is located in SUAs or exurban areas. (3) The number of meteorological stations is sparse in western China (Niu et al, 2018;Ren and Zhou, 2014;Sun et al, 2016). For instance, Wang et al (2015b) showed that there were no meteorological stations in certain 2.5 Â 2.5 latitude-longitude grid boxes in western China.…”

Section: Introductionmentioning

confidence: 99%

Assessing urbanization’s contribution to warming in mainland China using satellite-estimated air temperature data

Yao

Wang

Huang

et al. 2021

Progress in Physical Geography: Earth and Environment

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The global surface air temperature (Ta) has increased significantly in the past several decades. However, it remains disputable how much effect rapid urbanization has had on warming trends in mainland China. In this study, a gridded Ta dataset was created using satellite data. Then, a series of satellite-based methods to evaluate the contribution of urbanization to warming were developed. Subsequently, the contribution of urbanization to warming during 2001–2018 was estimated. The national average Ta was found to have increased significantly (0.23°C/decade) in mainland China. At the national scale, the contribution of urbanization to warming was negligible (less than 1%) since built-up areas account for only approximately 2.66% of the area of China. At the regional scale, the contribution of urbanization was also small in most areas and was even negative in some areas. At the local scale, the contributions of urbanization to warming were 53.18%, 54.30% and 47.25% for the mean, maximum and minimum Ta, respectively, averaged for 31 major cities. This study demonstrated that the contribution of urbanization to warming was significant at the local scale, while the contribution of urbanization to large-scale warming was limited. The contribution of urbanization was underestimated at the local scale but overestimated at the national and regional scales by many previous studies due to the sparse and uneven distribution of meteorological stations.

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Spatiotemporal variations of photosynthetically active radiation and the influencing factors in China from 1961 to 2016

Cited by 16 publications

References 48 publications

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Analysis of cloud effects on long-term global and diffuse photosynthetically active radiation at a Mediterranean site

Spatiotemporal variations in monthly relative humidity in China based on observations and CMIP5 models

Assessing urbanization’s contribution to warming in mainland China using satellite-estimated air temperature data

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