L
Ling Yao
Researcher at Chinese Academy of Sciences
Publications - 66
Citations - 1201
Ling Yao is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Environmental science & Population. The author has an hindex of 16, co-authored 55 publications receiving 618 citations. Previous affiliations of Ling Yao include Nanjing Normal University & Nanjing University.
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A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data
TL;DR: Wang et al. as mentioned in this paper proposed a hybrid deep network, relying on convolutional neural network (CNN) to extract spatial pattern from satellite imagery, multi-layer perceptron (MLP) to link the abstract patterns and additional time/location information to target hourly GSR.
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Spatiotemporal distribution and short-term trends of particulate matter concentration over China, 2006–2010
TL;DR: The spatiotemporal distributions of fine particle ( PM2.5) and inhalable particle (PM10) concentrations estimated with the artificial neural network over China during 2006 to 2010 have been discussed and show that they are higher in north China in spring and winter, lowest in summer.
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Spatial and temporal variation in autochthonous and allochthonous contributors to increased organic carbon and nitrogen burial in a plateau lake
TL;DR: Results indicate that OCAR and ONAR increased by factors of 4.33 and 7.34 over the past hundred years (1900-2000), particularly after algal blooms began to occur frequently (beginning in the 1980s), and indicates complicated migration and transformation of OC in inland lakes.
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Direct and indirect impacts of urbanization on vegetation growth across the world’s cities
Lei Zhang,Lin Yang,Constantin M. Zohner,Thomas W. Crowther,Manchun Li,Feixue Shen,Mao Guo,Jun Qin,Ling Yao,Cheng Tao Zhou +9 more
TL;DR: In this article , the authors used satellite observations from 2001 to 2018 to quantify direct and indirect impacts of urbanization on vegetation growth in 672 worldwide cities and found a widespread positive indirect effect that has been increasing over time.
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Evaluation of Reanalysis Surface Incident Solar Radiation Data in China
TL;DR: It was found that the main causes of errors are the cloud coverage in the southeast coastal area, aerosol optical depth (AOD) and water vapor content in the Sichuan Basin, and cloud coverage and AOD in the northeast and middle east of China.