Demonstration of a physical inversion scheme for all-sky, day-night IASI observations and application to the analysis of the onset of the Antarctica ozone hole: Assessment of retrievals and consistency of forward modeling

IF 2.3 3区 物理与天体物理 Q2 OPTICS Journal of Quantitative Spectroscopy & Radiative Transfer Pub Date : 2024-10-05 DOI:10.1016/j.jqsrt.2024.109211
Carmine Serio , Guido Masiello , Giuliano Liuzzi , Angela Cersosimo , Tiziano Maestri , Michele Martinazzo , Fabrizio Masin , Giorgia Proietti Pelliccia , Sara Venafra , Claude Camy-Peyret
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Abstract

Based on a recently developed all-sky forward model (σ-IASI/F2N) for the computation of spectral radiances in the range 100 to 2760 cm-1, the paper addresses the spring onset of the Antarctica ozone hole with infrared observations from the IASI (Infrared Atmospheric Sounder Interferometer) satellite sounder. The Antarctica ozone hole is a cyclic event that grows in normal conditions in late August and collapses in late November/early December. Because of climate change (cooling of the stratosphere), the O3 hole is expected to become deeper. Indeed, 2021 and 2023 have been characterized by very spatially extensive and deep ozone hole. To demonstrate that we can gain further insights into these phenomena with the help of infrared nadir viewing observations, we have developed an all-sky retrieval tool, which inverts the whole IASI infrared spectrum to simultaneously estimate thermodynamic and geophysical parameters, including ozone and nitric acid, which are key parameters in analyzing the Antarctic ozone hole. Infrared sounders acquire data day and night, unlike visible and ultraviolet sounders, which are only operational during daytime. This enables us to acquire data also during the polar night, which is a critical time for O3 hole formation. Ice polar stratospheric clouds have been identified and fitted with our scheme. Maps of atmospheric ozone, complemented with those of nitric acid, temperature, and lower stratosphere height, have been retrieved for July, September, and October 2021 and 2023. Results are compared to those derived from TROPOMI (TROPOspheric Monitoring Instrument) and OMI (Ozone Monitoring Instrument), showing a very good agreement. The comparison of simultaneously retrieved O3 and HNO3 shows that the onset of the ozone hole is associated with relevant denitrification in the Antarctica Stratosphere. For 2023, our findings also show that O3 depletion episodes began as early as July. Although demonstrative, our analysis evidences the importance of Numerical Weather Prediction centers to assimilating all-sky infrared radiances (day, night, clear, or with ice or water clouds) to get insights into providing a more comprehensive picture of the Southern Spring ozone depletion over Antarctica.
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演示全天空昼夜 IASI 观测的物理反演方案,并将其应用于对南极臭氧洞开始的分析:评估检索结果和前瞻性建模的一致性
本文基于最近开发的用于计算 100 至 2760 cm-1 范围内光谱辐射的全天空前向模型(σ-IASI/F2N),利用 IASI(红外大气探测干涉仪)卫星探测仪的红外观测数据,探讨了南极洲臭氧洞春季开始的问题。南极洲臭氧洞是一个周期性事件,在正常情况下于 8 月底出现,11 月底/12 月初崩溃。由于气候变化(平流层变冷),预计臭氧洞会越来越深。事实上,2021 年和 2023 年的臭氧空洞在空间上非常广泛且深。为了证明我们可以在红外天底观测的帮助下进一步了解这些现象,我们开发了一种全天空检索工具,它可以反演整个 IASI 红外光谱,同时估算热力学和地球物理参数,包括臭氧和硝酸,这些都是分析南极臭氧洞的关键参数。红外探测仪日夜都能获取数据,这与可见光和紫外线探测仪不同,后者只能在白天工作。这使我们也能在极夜获取数据,而极夜是臭氧空洞形成的关键时刻。极地平流层冰云已被识别,并与我们的方案相匹配。已检索到 2021 年 7 月、9 月和 10 月以及 2023 年 7 月、9 月和 10 月的大气臭氧图,以及硝酸、温度和低平流层高度图。结果与 TROPOMI(TROPOspheric Monitoring Instrument)和 OMI(Ozone Monitoring Instrument)得出的结果进行了比较,显示两者非常吻合。同时获取的 O3 和 HNO3 的比较结果表明,臭氧洞的出现与南极平流层的相关脱硝现象有关。对于 2023 年,我们的研究结果还显示,臭氧消耗事件早在 7 月份就已开始。我们的分析虽然是示范性的,但证明了数值天气预报中心吸收全天空红外辐射(白天、夜晚、晴朗或有冰云或水云)的重要性,以便深入了解南极洲上空的南泉臭氧消耗情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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