Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia
Accurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing the atmospheric carbon dioxide (CO<sub>2</sub>) emissions. For a better understanding of CO<sub>2</sub> variation trends over Asi...
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doaj-4f512d65c8e7420eb91c3d0ec4e0b2a12020-11-25T02:58:47ZengMDPI AGRemote Sensing2072-42922020-08-01122498249810.3390/rs12152498Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over AsiaFarhan Mustafa0Lingbing Bu1Qin Wang2Md. Arfan Ali3Muhammad Bilal4Muhammad Shahzaman5Zhongfeng Qiu6Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Key Laboratory of Meteorological Disasters, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Key Laboratory of Meteorological Disasters, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaCollaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Key Laboratory of Meteorological Disasters, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaAccurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing the atmospheric carbon dioxide (CO<sub>2</sub>) emissions. For a better understanding of CO<sub>2</sub> variation trends over Asia, in this study, the column-averaged CO<sub>2</sub> dry air mole fraction (XCO<sub>2</sub>) derived from the National Oceanic and Atmospheric Administration (NOAA) CarbonTracker (CT) was compared with that of Greenhouse Gases Observing Satellite (GOSAT) from September 2009 to August 2019 and with Orbiting Carbon Observatory 2 (OCO-2) from September 2014 until August 2019. Moreover, monthly averaged time-series and seasonal climatology comparisons were also performed separately over the five regions of Asia; i.e., Central Asia, East Asia, South Asia, Southeast Asia, and Western Asia. The results show that XCO<sub>2</sub> from GOSAT is higher than the XCO<sub>2</sub> simulated by CT by an amount of 0.61 ppm, whereas, OCO-2 XCO<sub>2</sub> is lower than CT by 0.31 ppm on average, over Asia. The mean spatial correlations of 0.93 and 0.89 and average Root Mean Square Deviations (RMSDs) of 2.61 and 2.16 ppm were found between the CT and GOSAT, and CT and OCO-2, respectively, implying the existence of a good agreement between the CT and the other two satellites datasets. The spatial distribution of the datasets shows that the larger uncertainties exist over the southwest part of China. Over Asia, NOAA CT shows a good agreement with GOSAT and OCO-2 in terms of spatial distribution, monthly averaged time series, and seasonal climatology with small biases. These results suggest that CO<sub>2</sub> can be used from either of the datasets to understand its role in the carbon budget, climate change, and air quality at regional to global scales.https://www.mdpi.com/2072-4292/12/15/2498CarbonTrackerGOSATOCO-2XCO<sub>2</sub>Asiagreenhouse gases |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Farhan Mustafa Lingbing Bu Qin Wang Md. Arfan Ali Muhammad Bilal Muhammad Shahzaman Zhongfeng Qiu |
spellingShingle |
Farhan Mustafa Lingbing Bu Qin Wang Md. Arfan Ali Muhammad Bilal Muhammad Shahzaman Zhongfeng Qiu Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia Remote Sensing CarbonTracker GOSAT OCO-2 XCO<sub>2</sub> Asia greenhouse gases |
author_facet |
Farhan Mustafa Lingbing Bu Qin Wang Md. Arfan Ali Muhammad Bilal Muhammad Shahzaman Zhongfeng Qiu |
author_sort |
Farhan Mustafa |
title |
Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia |
title_short |
Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia |
title_full |
Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia |
title_fullStr |
Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia |
title_full_unstemmed |
Multi-Year Comparison of CO<sub>2</sub> Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia |
title_sort |
multi-year comparison of co<sub>2</sub> concentration from noaa carbon tracker reanalysis model with data from gosat and oco-2 over asia |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-08-01 |
description |
Accurate knowledge of the carbon budget on global and regional scales is critically important to design mitigation strategies aimed at stabilizing the atmospheric carbon dioxide (CO<sub>2</sub>) emissions. For a better understanding of CO<sub>2</sub> variation trends over Asia, in this study, the column-averaged CO<sub>2</sub> dry air mole fraction (XCO<sub>2</sub>) derived from the National Oceanic and Atmospheric Administration (NOAA) CarbonTracker (CT) was compared with that of Greenhouse Gases Observing Satellite (GOSAT) from September 2009 to August 2019 and with Orbiting Carbon Observatory 2 (OCO-2) from September 2014 until August 2019. Moreover, monthly averaged time-series and seasonal climatology comparisons were also performed separately over the five regions of Asia; i.e., Central Asia, East Asia, South Asia, Southeast Asia, and Western Asia. The results show that XCO<sub>2</sub> from GOSAT is higher than the XCO<sub>2</sub> simulated by CT by an amount of 0.61 ppm, whereas, OCO-2 XCO<sub>2</sub> is lower than CT by 0.31 ppm on average, over Asia. The mean spatial correlations of 0.93 and 0.89 and average Root Mean Square Deviations (RMSDs) of 2.61 and 2.16 ppm were found between the CT and GOSAT, and CT and OCO-2, respectively, implying the existence of a good agreement between the CT and the other two satellites datasets. The spatial distribution of the datasets shows that the larger uncertainties exist over the southwest part of China. Over Asia, NOAA CT shows a good agreement with GOSAT and OCO-2 in terms of spatial distribution, monthly averaged time series, and seasonal climatology with small biases. These results suggest that CO<sub>2</sub> can be used from either of the datasets to understand its role in the carbon budget, climate change, and air quality at regional to global scales. |
topic |
CarbonTracker GOSAT OCO-2 XCO<sub>2</sub> Asia greenhouse gases |
url |
https://www.mdpi.com/2072-4292/12/15/2498 |
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