碳柱总量观测网络的 GGG2020 数据版本

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Joshua L. Laughner, Geoffrey C. Toon, Joseph Mendonca, Christof Petri, Sébastien Roche, Debra Wunch, Jean-Francois Blavier, David W. T. Griffith, Pauli Heikkinen, Ralph F. Keeling, Matthäus Kiel, Rigel Kivi, Coleen M. Roehl, Britton B. Stephens, Bianca C. Baier, Huilin Chen, Yonghoon Choi, Nicholas M. Deutscher, Joshua P. DiGangi, Jochen Gross, Benedikt Herkommer, Pascal Jeseck, Thomas Laemmel, Xin Lan, Erin McGee, Kathryn McKain, John Miller, Isamu Morino, Justus Notholt, Hirofumi Ohyama, David F. Pollard, Markus Rettinger, Haris Riris, Constantina Rousogenous, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Steven C. Wofsy, Minqiang Zhou, Paul O. Wennberg
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引用次数: 0

摘要

摘要。总碳柱观测网络(TCCON)从 2004 年开始,利用近红外(近红外)区域的太阳吸收光谱,测量全球 30 多个当前或过去测量点的几种温室气体(GHGs)的柱平均摩尔分数。TCCON 温室气体数据被广泛用于多种用途,包括碳循环和人为排放研究,以及验证和改进天基传感器的观测结果。在此,我们介绍用于处理 TCCON 近红外太阳光谱和生成相关数据产品的检索算法的更新。该版本称为 GGG2020,最初于 2022 年 4 月发布。它包括对所有检索步骤的更新和改进,包括但不限于将原始干涉图转换为光谱、柱检索中使用的光谱信息、事后空气质量相关性校正,以及与现场温室气体测量校准尺度相一致的缩放。所有 TCCON 数据均可通过 https://tccondata.org/(最后访问日期:2024 年 4 月 22 日)获取,并托管于 CaltechDATA(https://data.caltech.edu/,最后访问日期:2024 年 4 月 22 日)。每个 TCCON 站点的数据记录都有一个唯一的 DOI。所有站点的数据存档也可通过 DOI https://doi.org/10.14291/TCCON.GGG2020 获取(总碳柱观测网络(TCCON)团队,2022 年)。托管文件大约每月更新一次,要求 TCCON 站点在获取数据后 1 年内将数据提交到存档。数据位置的全部详情见 "代码和数据可用性 "部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Total Carbon Column Observing Network's GGG2020 data version
Abstract. The Total Carbon Column Observing Network (TCCON) measures column-average mole fractions of several greenhouse gases (GHGs), beginning in 2004, from over 30 current or past measurement sites around the world using solar absorption spectroscopy in the near-infrared (near-IR) region. TCCON GHG data have been used extensively for multiple purposes, including in studies of the carbon cycle and anthropogenic emissions, as well as to validate and improve observations from space-based sensors. Here, we describe an update to the retrieval algorithm used to process the TCCON near-IR solar spectra and to generate the associated data products. This version, called GGG2020, was initially released in April 2022. It includes updates and improvements to all steps of the retrieval, including but not limited to the conversion of the original interferograms into spectra, the spectroscopic information used in the column retrieval, post hoc air mass dependence correction, and scaling to align with the calibration scales of in situ GHG measurements. All TCCON data are available through https://tccondata.org/ (last access: 22 April 2024) and are hosted on CaltechDATA (https://data.caltech.edu/, last access: 22 April 2024). Each TCCON site has a unique DOI for its data record. An archive of all the sites' data is also available with the DOI https://doi.org/10.14291/TCCON.GGG2020 (Total Carbon Column Observing Network (TCCON) Team, 2022). The hosted files are updated approximately monthly, and TCCON sites are required to deliver data to the archive no later than 1 year after acquisition. Full details of data locations are provided in the “Code and data availability” section.
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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