Abstract

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.

Highlights

  • The atmospheric infrared sounder (AIRS) science team version-6 retrieval algorithm, operational at the Goddard Data and Information Services Center (DISC), contains many significant improvements compared to the previously operational AIRS science team version-5 retrieval algorithm

  • This was made possible because the AIRS version-5 radiative transfer algorithm (RTA) included the important work of DeSouza-Machado et al.,[4] which accurately accounts for effects of nonlocal thermodynamic equilibrium on shortwave CO2 band radiances during the day

  • AIRS/advanced microwave sounding unit (AMSU) observations are being processed near real time at the Goddard DISC using both the AIRS science team version-6 retrieval algorithm as well as the AIRS only processing system version-6 AO, which does not use AMSU observations in any way

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Summary

Introduction

Each retrieved quantity X in version-5 and version-6 has an associated error estimate δX. A major advancement in version-5 was the development of a methodology to generate accurate empirical error estimates for a number of geophysical parameters and to use thresholds of these error estimates for quality control (QC) purposes. Version-4 (Ref. 2) used threshold values of 12 internal tests for the purpose of generating QC flags for different geophysical parameters. Version-5 (Ref. 3) used the case-by-case values of these 12 internal tests, as well as values of four additional tests, as predictors to generate empirical case-by-case error estimates δX for select geophysical parameters X. Version-6 uses a methodology analogous to that used in version[5] to generate empirical error estimates δX, with some modifications resulting from changes in the steps used in the version-6 retrieval system as compared to those used in version-5.

Overview of the Retrieval Methodologies Used in Both Version-5 and Version-6
Steps in the Version-5 and Version-6 Retrieval Algorithms
Improved Version-6 Surface Parameter Retrieval Methodology
Channels and Functions Used in Different Steps of Version-6
Cloud Clearing and Temperature Profile Retrieval
Surface Skin Temperature and Longwave Spectral Emissivity Retrievals
Constituent Profile Retrievals
Ocean Surface Skin Temperature Ts and Surface Spectral Emissivity εν
Pressure
Outgoing Longwave Radiation
Summary
Nonfrozen ocean surface skin temperature quality control
Temperature profile and water vapor profile quality control
Findings
AO CLIM
Full Text
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