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A flexible algorithm for network design based on information theory
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OA
AI
DOI：10.5194/amt-16-235-2023.png)
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摘要
En 中文
A novel method for atmospheric network design is presented, which is based on information theory. The method does not require calculation of the posterior uncertainty (or uncertainty reduction) and is therefore computationally more efficient than methods that require this. The algorithm is demonstrated in two examples: the first looks at designing a network for monitoring CH4 sources using observations of the stable carbon isotope ratio in CH4 (delta C-13), and the second looks at designing a network for monitoring fossil fuel emissions of CO2 using observations of the radiocarbon isotope ratio in CO2 (delta(CO2)-C-14).
Keyword:
PARTICLE DISPERSION MODEL
METHANE EMISSIONS
ATMOSPHERIC CO2
SIGNATURE
期刊
IF:
3.3
论文数:
5.4K
被引数:
1.6W
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