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A decade of GOSAT Proxy satellite CH 4 observations

机译：十年的Gosat代理卫星CH 4观察

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This work presents the latest release (v9.0) of the University of Leicester GOSAT Proxy XCH 4 dataset. Since the launch of the GOSAT satellite in 2009, these data have been produced by the UK National Centre for Earth Observation (NCEO) as part of the ESA Greenhouse Gas Climate Change Initiative (GHG-CCI) and Copernicus Climate Change Services (C3S) projects. With now over a decade of observations, we outline the many scientific studies achieved using past versions of these data in order to highlight how this latest version may be used in the future. We describe in detail how the data are generated, providing information and statistics for the entire processing chain from the L1B spectral data through to the final quality-filtered column-averaged dry-air mole fraction ( XCH 4 ) data. We show that out of the 19.5 million observations made between April 2009 and December 2019, we determine that 7.3 million of these are sufficiently cloud-free (37.6?%) to process further and ultimately obtain 4.6 million (23.5?%) high-quality XCH 4 observations. We separate these totals by observation mode (land and ocean sun glint) and by month, to provide data users with the expected data coverage, including highlighting periods with reduced observations due to instrumental issues. We perform extensive validation of the data against the Total Carbon Column Observing Network (TCCON), comparing to ground-based observations at 22 locations worldwide. We find excellent agreement with TCCON, with an overall correlation coefficient of 0.92 for the 88?345 co-located measurements. The single-measurement precision is found to be 13.72?ppb, and an overall global bias of 9.06?ppb is determined and removed from the Proxy XCH 4 data. Additionally, we validate the separate components of the Proxy (namely the modelled XCO 2 and the XCH 4 ∕XCO 2 ratio) and find these to be in excellent agreement with TCCON. In order to show the utility of the data for future studies, we compare against simulated XCH 4 from the TM5 model. We find a high degree of consistency between the model and observations throughout both space and time. When focusing on specific regions, we find average differences ranging from just 3.9 to 15.4?ppb. We find the phase and magnitude of the seasonal cycle to be in excellent agreement, with an average correlation coefficient of 0.93 and a mean seasonal cycle amplitude difference across all regions of ?0.84 ?ppb. These data are available at https://doi.org/10.5285/18ef8247f52a4cb6a14013f8235cc1eb ( Parker and Boesch ,? 2020 ) .
机译：这项工作介绍了莱斯特大学Gosat Proxy Xch 4 DataSet的最新版本（v9.0）。自2009年推出Gosat卫星以来，这些数据由英国国家地球观测中心（NCEO）制作，作为ESA温室气候变化倡议（GHG-CCI）和Copernicus气候变化服务（C3S）项目的一部分。随着现在的几十年的观察，我们概述了使用这些数据的过去版本实现的许多科学研究，以突出最新版本可以在将来使用。我们详细描述了如何生成数据，从L1B光谱数据到最终质量过滤的列平均的干燥气体摩尔分数（XCH 4）数据提供整个处理链的信息和统计。我们展示了从2009年4月和2019年12月之间进行的1950万次观察结果，我们确定730万这些是无云（37.6？％）进一步加工，最终获得460万（23.5？％）高质量XCH 4观察。我们通过观察模式（土地和海洋阳光）和月份将这些总数分开，以便为数据用户提供预期的数据覆盖，包括突出显示由于工具问题而减少观测。我们对全球22个地点的基于地面观测相比，我们对全碳柱观察网络（TCCON）进行了广泛的验证。我们与TCCON找到了很好的协议，对于88？345共同定位测量，整体相关系数为0.92。单测量精度被发现为13.72？PPB，并确定并从代理XCH 4数据中确定并移除9.06的整体全局偏差。此外，我们还验证了代理的单独组件（即所建模的XCO 2和XCH 4 / XCO 2的比率），并找到与TCCON非常协议的。为了展示未来研究数据的效用，我们将从TM5模型与模拟XCH 4进行比较。我们在整个空间和时间内发现模型和观察之间的高度一致性。在专注于特定地区时，我们发现平均差异范围从3.9到15.4？PPB。我们发现季节性周期的阶段和幅度处于优秀的一致性，平均相关系数为0.93，并且在所有区域的平均季节循环幅度差异为0.84？ppb。这些数据可在https://doi.org/10.5285/18EF8247F52A4CB6A14013F8235CC1EB（Parker和Boesch，？2020）。

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