Algorithm Theoretical Basis for Version 3 TEMPO O2‐O2 Cloud Product

Algorithm Theoretical Basis for Version 3 TEMPO O2‐O2 Cloud Product

Abstract This Algorithm Theoretical Basis Document (ATBD) describes the retrieval algorithm and sensitivities of the Version 3 cloud product derived from the spectra collected by the Tropospheric Emissions: Monitoring of POllution (TEMPO) instrument. The cloud product is primarily produced for suppo...

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Main Authors: Huiqun Wang, Caroline R. Nowlan, Gonzalo González Abad, Heesung Chong, Weizhen Hou, John C. Houck, Xiong Liu, Kelly Chance, Eun‐Su Yang, Alexander Vasilkov, Joanna Joiner, Wenhan Qin, Zachary Fasnacht, K. Emma Knowland, Chris Chan Miller, Robert J. D. Spurr, David E. Flittner, James L. Carr, Raid M. Suleiman, John E. Davis, Jean A. Fitzmaurice
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2025-02-01
Series:Earth and Space Science
Subjects:
TEMPO
clouds
trace gas
retrieval
Online Access:https://doi.org/10.1029/2024EA004165
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Summary:Abstract This Algorithm Theoretical Basis Document (ATBD) describes the retrieval algorithm and sensitivities of the Version 3 cloud product derived from the spectra collected by the Tropospheric Emissions: Monitoring of POllution (TEMPO) instrument. The cloud product is primarily produced for supporting the retrievals of TEMPO trace gases that are important for understanding atmospheric chemistry and monitoring air pollution. The TEMPO cloud algorithm is adapted from NASA's Ozone Monitoring Instrument (OMI) oxygen collision complex (O2‐O2) cloud algorithm. The retrieval generates effective cloud fraction (ECF) from the normalized radiance at 466 nm and generates cloud optical centroid pressure (OCP) using the O2‐O2 column amount derived from the spectral absorption feature near 477 nm. The slant column of O2‐O2 is retrieved using Smithsonian Astrophysical Observatory's spectral fitting code with optimized retrieval parameters. ECF and OCP are used by TEMPO trace gas retrievals to calculate Air Mass Factors which convert slant columns to vertical columns. The sensitivities of the cloud retrieval to various input parameters are investigated.
ISSN:2333-5084

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