MOCMAC_MISR_MLI
收藏data.nasa.gov2021-02-10 更新2025-03-25 收录
下载链接：
https://data.nasa.gov/Earth-Science/MOCMAC_MISR_MLI/a5a8-w6pp
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资源简介：
This dataset shows an example result from the MISR Maximum Likelihood (MLI) algorithm, which uses the MISR 866nm channel multi-angle observations to derive 4 parameters:
- Aerosol Optical Depth (866nm)
- Aerosol fine side mode fraction
- Aerosol "relative humidity" (water content)
- Ocean surface wind speed
An information content assessment of the parameters of this retrieval can be found here:
https://amt.copernicus.org/preprints/amt-2020-423/
The ultimate goal is to produce a research evaluation dataset with the MISR MLI algorithm. Results, and they become ready, will be posted here. MISR MLI is intended to act as an atmospheric correction that can be applied to coincident MODIS-Terra observations.
本数据集展示了MISR（多角度成像光谱辐射计）最大似然（MLI）算法的示例结果，该算法利用MISR 866nm通道的多角度观测数据导出四个参数：
- 雾霾光学厚度（866nm）
- 雾霾细侧向模式分数
- 雾霾的“相对湿度”（含水含量）
- 海洋表面风速
关于此检索参数的信息含量评估，可参考以下链接：
https://amt.copernicus.org/preprints/amt-2020-423/
最终目标是为MISR MLI算法生成一个研究评估数据集。一旦结果准备就绪，将在此处发布。MISR MLI旨在作为大气校正工具，适用于与MODIS-Terra观测数据同步应用。
提供机构：
data.nasa.gov
