Global satellite observations of column-averaged carbon dioxide and methane : 1 The GHG-CCI XCO 2 and XCH 4 CRDP 3 data set 2 3
Global satellite observations of column-averaged carbon dioxide and methane : 1 The GHG-CCI XCO 2 and XCH 4 CRDP 3 data set 2 3
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全球柱平均二氧化碳和甲烷卫星观测数据：1 GHG-CCI XCO 2 和 XCH 4 CRDP 3 数据集 2 3
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
D. Wunch
中科院分区：
文献类型：
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作者：
M. Buchwitz;M. Reuter;O. Schneising;W. Hewson;R. Detmers;H. Boesch;O. Hasekamp;I. Aben;H. Bovensmann;J. P. Burrows;A. Butz;F. Chevallier;B. Dils;C. Frankenberg;J. Heymann;Lichtenberg;M. Mazière;J. Notholt;R. Parker;T. Warneke;C. Zehner;D. W. Griffith;A. Kuze;H. Suto;D. Wunch
29二氧化碳（CO2）和甲烷（CH 4）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源和汇31以及相关的碳吸收和释放过程，以实现与气候变化相关的重要应用32，例如改进气候建模和预测。有些卫星提供近地表33敏感的大气CO2和CH 4观测数据，可用于获取关于CO2和CH 4地表通量的信息。欧洲航天局（ESA）气候变化倡议（CCI）的GHG-CCI项目的目标是使用卫星数据来生成大气CO2和CH 4数据产品36，以满足苛刻的GCOS（全球气候观测系统）温室气体（GHG）ECV 37要求。为实现这一目标，定期改进检索算法，随后每年进行38次数据再处理和分析周期，以便在延长时间序列方面产生更好的产品，并不断改进数据质量。这里，我们呈现关于最新的GHG-CCI数据集40的概述，该数据集40被称为气候研究数据包3号（CRDP 3），其关注GHG-CCI核心数据产品，41是CO2和CH 4的柱平均干空气摩尔分数，即，XCO 2和XCH 4，从SCIAMACHY/ENVISAT和TANSO/GOSAT卫星辐射中检索，涵盖2002年底43至2014年底的时间段。我们提出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45比较获得的初步验证结果44。我们发现，GCOS对系统误差（XCO 2 < 1 ppm，XCH 4 < 10 ppb 46）和长期稳定性（XCO 2 < 0.2 ppm/年，XCH 4 < 2 ppb/年）的要求47几乎所有产品都得到了满足（SCIAMACHY甲烷除外，特别是自2010年以来）。对于XCO 2，我们48使用两个CO2同化系统（MACC 49版本14 r2和CarbonTracker版本CT 2013 B）的输出与全球模型进行了比较。我们表明，总体上有合理的50所有数据集之间的一致性和协议（1-2 ppm内），但我们也发现显着的51差异取决于地区和时间段。52
29 Carbon dioxide (CO2) and methane (CH4) are the two most important greenhouse gases emitted by 30 mankind. Better knowledge of the surface sources and sinks of these Essential Climate Variables 31 (ECVs) and related carbon uptake and release processes is needed for important climate change related 32 applications such as improved climate modelling and prediction. Some satellites provide near-surface33 sensitive atmospheric CO2 and CH4 observations that can be used to obtain information on CO2 and 34 CH4 surface fluxes. The goal of the GHG-CCI project of the European Space Agency’s (ESA) Climate 35 Change Initiative (CCI) is to use satellite data to generate atmospheric CO2 and CH4 data products 36 meeting demanding GCOS (Global Climate Observing System) greenhouse gas (GHG) ECV 37 requirements. To achieve this, retrieval algorithms are regularly being improved followed by annual 38 data reprocessing and analysis cycles to generate better products in terms of extended time series and 39 continuously improved data quality. Here we present an overview about the latest GHG-CCI data set 40 called Climate Research Data Package No. 3 (CRDP3) focusing on the GHG-CCI core data products, 41 which are column-averaged dry-air mole fractions of CO2 and CH4, i.e., XCO2 and XCH4, as retrieved 42 from SCIAMACHY/ENVISAT and TANSO/GOSAT satellite radiances covering the time period end 43 of 2002 to end of 2014. We present global maps and time series including initial validation results 44 obtained by comparisons with Total Carbon Column Observing Network (TCCON) ground-based 45 observations. We show that the GCOS requirements for systematic error (< 1 ppm for XCO2, < 10 ppb 46 for XCH4) and long-term stability (< 0.2 ppm/year for XCO2, < 2 ppb/year for XCH4) are met for 47 nearly all products (an exception is SCIAMACHY methane especially since 2010). For XCO2 we 48 present comparisons with global models using the output of two CO2 assimilation systems (MACC 49 version 14r2 and CarbonTracker version CT2013B). We show that overall there is reasonable 50 consistency and agreement between all data sets (within ~1-2 ppm) but we also found significant 51 differences depending on region and time period. 52
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影响因子：
4.9
作者：
Ciais, P.;Dolman, A. J.;Zehner, C.
通讯作者：
Zehner, C.
影响因子：
5.2
作者：
A. Turner;D. Jacob;J. Benmergui;S. Wofsy;J. Maasakkers;A. Butz;O. Hasekamp;S. Biraud
通讯作者：
A. Turner;D. Jacob;J. Benmergui;S. Wofsy;J. Maasakkers;A. Butz;O. Hasekamp;S. Biraud
影响因子：
5.2
作者：
Basu, S.;Krol, M.;Aben, I.
通讯作者：
Aben, I.
影响因子：
5.2
作者：
Guerlet, S.;Basu, S.;Aben, I.
通讯作者：
Aben, I.