Meiling Sheng
Nanjing Normal University
8 Papers
Meiling Sheng is an academic researcher from Nanjing Normal University. The author has contributed to research in topics: Environmental science & Spatial distribution. The author has an hindex of 3, co-authored 4 publications. Previous affiliations of Meiling Sheng include Nanjing University.
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Papers
Comparison of GLUE and DREAM for the estimation of cultivar parameters in the APSIM-maize model
Meiling Sheng,Meiling Sheng,Junzhi Liu,Junzhi Liu,A-Xing Zhu,David G. Rossiter,David G. Rossiter,Haoran Liu,Haoran Liu,Zhangcong Liu,Zhangcong Liu,Liming Zhu,Liming Zhu +12 more
TL;DR: In this article, two Bayesian methods, namely generalized likelihood uncertainty estimation (GLUE) and Differential Evolution Adaptive Metropolis (DREAM), were used for the first time to estimate parameters of the maize module of the Agricultural Productions Systems sIMulator model (APSIM-maize).
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Spatial Distribution of Diurnal Rainfall Variation in Summer over China
TL;DR: In this article, the k-means clustering algorithm was used to mine the spatial distribution of diurnal rainfall variation from gridded precipitation data over China, and the results of existing research (e.g., the distribution of wellknown nocturnal rainfall in southwestern China, the prevailing afternoon rainfall regions) were confirmed.
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Evaluation of CLM-Crop for maize growth simulation over Northeast China
Meiling Sheng,Meiling Sheng,Junzhi Liu,Junzhi Liu,A-Xing Zhu,David G. Rossiter,David G. Rossiter,Liming Zhu,Liming Zhu,Guoqiang Peng,Guoqiang Peng +10 more
TL;DR: In this article, the applicability of Community Land Model (CLM) for maize growth simulation in Northeast China, one of the major agricultural production areas in China, was evaluated, and the CLM-Crop model overestimated LAI and underestimated leaf and stem carbon during the growing period.
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Exploring the Spatial–Temporal Variation in Cultivated Land Quality and Influential Factors in the Lower Reaches of the Yangtze River from 2017 to 2020
TL;DR: Zhang et al. as discussed by the authors analyzed the soil properties and cultivated land quality in the Hang-Jia-Hu Plain, the most important grain production base in Zhejiang Province, located in the lower reaches of the Yangtze River.