scholarly journals Modelling methane emissions from lakes and reservoirs: case study of Lake Kinneret

2002 ◽  
Vol 47 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Boaz Luz ◽  
Eugeni Barkan ◽  
Yftach Sagi ◽  
Yosef Z. Yacobi

2014 ◽  
Vol 7 (1) ◽  
pp. 181-216 ◽  
Author(s):  
W. Zhang ◽  
T. Li ◽  
Y. Huang ◽  
Q. Zhang ◽  
J. Bian ◽  
...  

Abstract. Data scarcity is a major cause of substantial uncertainties in regional estimations conducted with model upscaling. To evaluate the impact of data scarcity on model upscaling, we introduce an approach for aggregating uncertainties in model estimations. A data sharing matrix was developed to aggregate the modeled uncertainties in divisions of a subject region. In a case study, the uncertainty in methane emissions from rice paddies on mainland China was calculated with a local-scale model CH4MOD. The data scarcities in five of the most sensitive model variables were included in the analysis. The national total methane emissions were 6.44–7.32 Tg, depending on the spatial resolution used for modeling, with a 95% confidence interval of 4.5–8.7 Tg. Based on the data sharing matrix, two numeral indices, IR and Ids, were also introduced to suggest the proper spatial resolution in model upscaling.


2015 ◽  
Vol 212 ◽  
pp. 297-309 ◽  
Author(s):  
Minghua Zhou ◽  
Bo Zhu ◽  
Nicolas Brüggemann ◽  
Xiaoguo Wang ◽  
Xunhua Zheng ◽  
...  

2020 ◽  
Vol 2 (6) ◽  
pp. 061005
Author(s):  
Yanli Zhang ◽  
Xiaoqing Huang ◽  
Shilu Luo ◽  
Chenglei Pei ◽  
Zuzhao Huang ◽  
...  

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