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Correction: Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution

机译：更正：结合使用SCIAMACHY和GOSAT产生的XCO2测量值，可能以高时空分辨率生成全球CO2图

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期刊名称 PLoS Clinical Trials
作者
Tianxing Wang; Jiancheng Shi; Yingying Jing; Tianjie Zhao; Dabin Ji; Chuan Xiong;
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年(卷),期 2011(11),1
年度 2011
页码 e0148152
总页数 1
原文格式 PDF
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专利

1. XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements [J] . Industrial and organizational psychology . 2020,第2期

机译：XCO2采用卫星测量的观察，采用中等光谱分辨率：使用Gosat和OCO-2测量进行调查
2. XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements [J] . Atmospheric Measurement Techniques . 2020,第2期

机译：XCO2采用卫星测量的观察，采用中等光谱分辨率：使用Gosat和OCO-2测量进行调查
3. XCO2 observations using satellite measurements with moderate spectral resolution: investigation using GOSAT and OCO-2 measurements [J] . Wu Lianghai, aan de Brugh Joost, Meijer Yasjka, Atmospheric Measurement Techniques Discussions . 2020,第2期

机译：XCO2使用卫星测量的观察，采用中等光谱分辨率：使用Gosat和OCO-2测量进行调查
4. Consistency in XCO2 Retrievals from Sciamachy, Gosat and OCO-2 for Spatio-Temporal Characteristics at a Global Scale [C] . Liping Lei, Hui Zhong, Changjiang Wu, IEEE International Geoscience and Remote Sensing Symposium . 2018

机译：在全球范围内，从夏马齐，Gosat和OCO-2进行XCO2检索的一致性，以用于时空特征
5. The Development and Application of Models for Dispersion of Roadway Emissions: The Effects of Roadway Configurations on Near Road Concentrations of Vehicle Emissions and Increasing the Spatial Resolution of Satellite-Derived PM2.5 Maps [D] . Amini, Seyedmorteza. 2018

机译：道路排放物扩散模型的开发和应用：道路结构对车辆排放物近路浓度的影响以及卫星衍生的PM2.5地图的空间分辨率的提高
6. Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution [O] . Tianxing Wang, Jiancheng Shi, Yingying Jing, -1

机译：结合源自SCIAMACHY和GOSAT的XCO2测量可能以高时空分辨率生成全球CO2图
7. Correction: Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution. [O] . Tianxing Wang, Jiancheng Shi, Yingying Jing, 2016

机译：校正：结合源自sCIamaCHY和GOsaT的XCO2测量结果，可以生成具有高时空分辨率的全局CO2图。

Correction: Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution

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