Infrared radiative transfer dataset: Comparisons of HITRAN2020, HITRAN2016, and MT_CKD versions 3.2 & 4.1.1 across five model atmospheres

Autor: Maria Lívia L.M. Gava, Simone M.S. Costa, Caio Atila P. Sena
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Data in Brief, Vol 57, Iss , Pp 110867- (2024)
Druh dokumentu: article
ISSN: 2352-3409
DOI: 10.1016/j.dib.2024.110867
Popis: This dataset presents the outputs of a series of experiments conducted varying combinations of two versions of the High Resolution Transmission (HITRAN) database (2016 and 2020) and two versions of the MT_CKD water vapor (WV) continuum model (3.2 and 4.1.1) across five distinct model atmospheres. The primary objective of compiling this dataset was to assess the impacts of updated spectroscopic parameters and water vapor continuum models on atmospheric radiative transfer calculations. The line-by-line calculations were performed by the Reference Foward Model (RFM). Key atmospheric gases, namely H2O, CO2, O3, CH4, CO, N2O, and O2, are prescribed at each atmospheric model. The dataset includes calculations with all gases present as well as experiments removing individual gases (specifically, CO2, O3, and H2O). It gathers upward and downward radiation fluxes, and cooling rates. The dataset is available in a compressed .tar file format, where each file contains 880 individual text files representing specific atmospheric heights. This collection is designed to facilitate further research in atmospheric science, particularly for validating other radiative transfer models and improving the understanding of atmospheric energy dynamics.
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