Application of neural algorithms for a real time estimation of ozone profiles from GOME measurements
Application of neural algorithms for a real time estimation of ozone profiles from GOME measurements
复制标题
应用神经算法根据国美测量结果实时估计臭氧分布
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Claus Zehner
中科院分区：
文献类型：
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作者：
F. DelFrate;A. Ortenzi;S. Casadio;Claus Zehner
微量气体在大气中的分布、大气的热结构及其环流机制是辐射、物理和动力过程之间复杂相互作用的结果。神经网络算法可以是一个有用的工具，这种复杂的检索操作。在本文中，他们的潜力已被利用，设计在线程序估计的臭氧垂直廓线从光谱辐射测量GOME。1999年11月的调查迷你孔条件已被认为是该算法的应用程序的一个例子。
The distribution of trace gases in the atmosphere, its thermal structure and its circulation mechanisms result from a complex interplay between radiative, physical and dynamical processes. Neural networks algorithms can be a useful tool with such complexities in retrieval operations. In this paper their potentialities have been exploited to design on-line procedures for the estimation of vertical profiles of ozone from spectral radiances measured by GOME. Investigations on the November 1999 mini hole condition have been considered as an example of application of the algorithm.