Aqua AIRS-MLS Matchup Indexes V1.0 (AIRS_MLS_IND) at GES_DISC

This dataset is part of MEaSUREs 2012 Program, and represent Aqua/AIRS-Aura/MLS collocation indexes, in netCDF-4 format. These data map AIRS profile indexes to those of MLS.

The A-Train provides water vapor (H2O) retrievals from both the Atmospheric Infrared Sounder (AIRS) and Microwave Limb Sounder (MLS). While AIRS loses sensitivity to H2O at the elevated portions of the upper troposphere (UT), MLS cannot detect H2O below 316 hPa. Therefore, to obtain a full profile of H2O in the whole column of air, this dataset manages to join the two products together by utilizing their own averaging kernels (AK). In doing so, the dataset builds a solid H2O of the whole column of air, which will help understand the H2O budget and many processes governing the humidity around the upper troposphere and lower stratosphere (UTLS).

The short name for this collections is AIRS_MLS_IND

本数据集隶属于2012年MEaSUREs项目，并代表Aqua/AIRS-Aura/MLS的配对指数，以netCDF-4格式存储。这些数据将AIRS廓线指数映射至MLS的相应指数。A-Train项目从大气红外探测器（AIRS）和微波大气探测器（MLS）中获取水汽（H2O）的检索数据。尽管AIRS在高层对流层（UT）的高海拔部分对H2O的敏感性减弱，而MLS无法检测到低于316 hPa的H2O，但本数据集通过利用各自的平均核（AK）成功地将两个产品结合在一起，从而获得了整个大气柱中H2O的完整廓线。此举构建了整个大气柱中H2O的稳固模型，有助于理解水汽收支以及诸多调控对流层上层和下层平流层（UTLS）湿度过程的相关机制。该数据集的简称是AIRS_MLS_IND。