Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set
Global satellite observations of column-averaged carbon dioxide and methane: The GHG-CCI XCO2 and XCH4 CRDP3 data set
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DOI：
10.1016/j.rse.2016.12.027
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发表时间：
2017-12-15
影响因子：
13.5
通讯作者：
Wunch, D.
中科院分区：
文献类型：
--
作者：
Buchwitz, M.;Reuter, M.;Wunch, D.
二氧化碳(CO2)和甲烷(CH4)是人类排放的两种最重要的温室气体。需要更好地了解这些基本气候变量的地表来源和汇以及相关的碳吸收和释放过程，以便改进气候建模和预测等与气候变化有关的重要应用。一些卫星提供对近地表敏感的大气二氧化碳和甲烷观测，可用来获得关于CQ(2)和甲烷表面通量的信息。欧洲航天局(欧空局)气候变化倡议(CCI)的GHG-CCI项目的目标是利用卫星数据生成符合全球气候观测系统(GCOS)温室气体(GHG)ECV要求的大气CO2和CH4数据产品。为实现这一目标，在每年的数据再处理和分析周期之后，定期改进检索算法，以在延长的时间序列和不断改进的数据质量方面产生更好的产品。在这里，我们概述最新的温室气体-CCI数据集，称为第三号气候研究数据包(CRDP3)，重点放在GHG-CCI核心数据产品上，这些数据产品是从2002年底至2014年底的SCIAMACHY/ENVISAT和TANSO/GOSAT卫星辐射中提取的二氧化碳和CH4的干空气摩尔分数的列平均数据。我们提供了全球地图和时间序列，包括通过与总碳柱观测网络(TCCON)地面观测进行比较而获得的初步验证结果。我们证明了GCOS对系统误差的要求(
Carbon dioxide (CO2) and methane (CH4) are the two most important greenhouse gases emitted by mankind. Better knowledge of the surface sources and sinks of these Essential Climate Variables (ECVs) and related carbon uptake and release processes is needed for important climate change related applications such as improved climate modelling and prediction. Some satellites provide near-surface-sensitive atmospheric CO2 and CH4 observations that can be used to obtain information on CQ(2) and CH4 surface fluxes. The goal of the GHG-CCI project of the European Space Agency's (ESA) Climate Change Initiative (CCI) is to use satellite data to generate atmospheric CO2 and CH4 data products meeting demanding GCOS (Global Climate Observing System) greenhouse gas (GHG) ECV requirements. To achieve this, retrieval algorithms are regularly being improved followed by annual data reprocessing and analysis cycles to generate better products in terms of extended time series and continuously improved data quality. Here we present an overview about the latest GHG-CCI data set called Climate Research Data Package No.3 (CRDP3) focusing on the GHG-CCI core data products, which are column-averaged dry air mole fractions of CO2 and CH4, i.e., XCO2 and XCH4, as retrieved from SCIAMACHY/ENVISAT and TANSO/GOSAT satellite radiances covering the time period end of 2002 to end of 2014. We present global maps and time series including initial validation results obtained by comparisons with Total Carbon Column Observing Network (TCCON) ground-based observations. We show that the GCOS requirements for systematic error (