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首页> 外文期刊>Journal of Applied Remote Sensing >Improved methodology for surface and atmospheric soundings, error estimates, and quality control procedures: the atmospheric infrared sounder science team version-6 retrieval algorithm
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Improved methodology for surface and atmospheric soundings, error estimates, and quality control procedures: the atmospheric infrared sounder science team version-6 retrieval algorithm

机译：改进的地面和大气探测，误差估计和质量控制程序的方法：大气红外探测仪科学小组第6版检索算法

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The atmospheric infrared sounder (AIRS) science team version-6 AIRS/advanced microwave sounding unit (AMSU) retrieval algorithm is now operational at the Goddard Data and Information Services Center (DISC). AIRS version-6 level-2 products are generated near real time at the Goddard DISC and all level-2 and level-3 products are available starting from September 2002. Some of the significant improvements in retrieval methodology contained in the version-6 retrieval algorithm compared to that previously used in version-5 are described. In particular, the AIRS science team made major improvements with regard to the algorithms used to (1) derive surface skin temperature and surface spectral emissivity; (2) generate the initial state used to start the cloud clearing and retrieval procedures; and (3) derive error estimates and use them for quality control. Significant improvements have also been made in the generation of cloud parameters. In addition to the basic AIRS/AMSU mode, version-6 also operates in an AIRS only (AO) mode, which produces results almost as good as those of the full AIRS/AMSU mode. The improvements of some AIRS version-6 and version-6 AO products compared to those obtained using version-5 are also demonstrated. c The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
机译：大气红外测深仪（AIRS）科学团队的第六版AIRS /先进微波测深仪（AMSU）检索算法现已在戈达德数据和信息服务中心（DISC）投入使用。 AIRS 6级2级产品在Goddard DISC上几乎实时生成，并且所有2级和3级产品从2002年9月开始可用。6级检索算法中包含的检索方法的一些重大改进与以前在版本5中使用的版本进行了比较。特别是，AIRS科学团队对用于（1）得出表面皮肤温度和表面光谱发射率的算法进行了重大改进; （2）生成用于启动云清除和检索程序的初始状态; （3）得出误差估计并将其用于质量控制。在云参数的生成方面也进行了重大改进。除了基本的AIRS / AMSU模式外，版本6还以仅AIRS（AO）模式运行，其结果几乎与完整AIRS / AMSU模式的结果一样好。还演示了与使用版本5获得的产品相比，某些AIRS版本6和版本6 AO产品的改进。 c作者。由SPIE根据Creative Commons Attribution 3.0 Unported License发布。分发或复制此作品的全部或部分，需要对原始出版物（包括其DOI）进行完全归因。

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