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全天空FY-4A/AGRI红外辐射观测的同化错误模型

Dongchuan Pu^1,2, Yali Wu³

¹School of Environment, Harbin Institute of Technology, Harbin 150006, China.

Sensors (Basel, Switzerland)

|April 27, 2024

概括

阴天影响卫星数据的同化. 对于FengYun-4A/AGRI观测的新动态错误模型提高了数据准确性,均地处理明亮和阴天的条件.

科学领域:

气象学天气学
卫星遥感卫星遥感卫星遥感
数据同化数据同化

背景情况:

云-4A (FY-4A) 卫星的先进地球静止辐射成像仪 (AGRI) 提供连续的当地天气数据.
云层严重影响红外卫星观测,使全天空数据同化变得复杂.
云的存在引入了不确定性,导致观察减去背景 (O-B) 差异偏离了假定的高斯分布.

研究的目的:

为FY-4A/AGRI全天空数据同化开发动态观测误差模型.
用新的云受影响 (Ca) 指数量化云量的影响.
通过解决 O-B 分布偏差来改善受云影响的卫星数据的同化.

主要方法:

引入两个云影响 (Ca) 指数来衡量云的影响.
评估两个动态观测误差模型:两段和三段线性模型.
测试用于同化FY-4A/AGRI全天数据的模型,重点是O-B统计.

主要成果:

拟议的三段线性动态观测错误模型更适合FY-4A/AGRI观测特征.
三段模型显著提高了OB概率密度函数的高斯度.
动态模型均地处理无云和受云影响的AGRI观测.

结论:

动态观测错误模型有效地解决了FY-4A/AGRI数据同化中的云诱导偏差.
三段线性模型提供了一种优越的方法来提高数据同化准确度.
这种方法允许对全天空AGRI数据进行统一的同化,而不需要云检测.

关键词:

财政年度-4A/AGRI 通过同化和同化.云效应是云效应的云效应.红外辐射辐射的红外辐射.观测错误是一个观察错误.

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