Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements
In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (XCO2) from the TanSat observations using the ACOS (Atmospheric CO2 Observations from Space) algorithm. The XCO2 product has been validated with collocated ground-based measurements from the Total C...
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| Published in | Remote sensing (Basel, Switzerland) Vol. 12; no. 14; p. 2204 |
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| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Basel
MDPI AG
01.07.2020
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| Online Access | Get full text |
| ISSN | 2072-4292 2072-4292 |
| DOI | 10.3390/rs12142204 |
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| Abstract | In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (XCO2) from the TanSat observations using the ACOS (Atmospheric CO2 Observations from Space) algorithm. The XCO2 product has been validated with collocated ground-based measurements from the Total Carbon Column Observing Network (TCCON) for 2 years of TanSat data from 2017 to 2018. Based on the correlation of the XCO2 error over land with goodness of fit in three spectral bands at 0.76, 1.61 and 2.06 μm, we applied an a posteriori bias correction to TanSat retrievals. For overpass averaged results, XCO2 retrievals show a standard deviation (SD) of ~2.45 ppm and a positive bias of ~0.27 ppm compared to collocated TCCON sites. The validation also shows a relatively higher positive bias and variance against TCCON over high-latitude regions. Three cases to evaluate TanSat target mode retrievals are investigated, including one field campaign at Dunhuang with measurements by a greenhouse gas analyzer deployed on an unmanned aerial vehicle and two cases with measurements by a ground-based Fourier-transform spectrometer in Beijing. The results show the retrievals of all footprints, except footprint-6, have relatively low bias (within ~2 ppm). In addition, the orbital XCO2 distributions over Australia and Northeast China between TanSat and the second Orbiting Carbon Observatory (OCO-2) on 20 April 2017 are compared. It shows that the mean XCO2 from TanSat is slightly lower than that of OCO-2 with an average difference of ~0.85 ppm. A reasonable agreement in XCO2 distribution is found over Australia and Northeast China between TanSat and OCO-2. |
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| AbstractList | In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (XCO2) from the TanSat observations using the ACOS (Atmospheric CO2 Observations from Space) algorithm. The XCO2 product has been validated with collocated ground-based measurements from the Total Carbon Column Observing Network (TCCON) for 2 years of TanSat data from 2017 to 2018. Based on the correlation of the XCO2 error over land with goodness of fit in three spectral bands at 0.76, 1.61 and 2.06 μm, we applied an a posteriori bias correction to TanSat retrievals. For overpass averaged results, XCO2 retrievals show a standard deviation (SD) of ~2.45 ppm and a positive bias of ~0.27 ppm compared to collocated TCCON sites. The validation also shows a relatively higher positive bias and variance against TCCON over high-latitude regions. Three cases to evaluate TanSat target mode retrievals are investigated, including one field campaign at Dunhuang with measurements by a greenhouse gas analyzer deployed on an unmanned aerial vehicle and two cases with measurements by a ground-based Fourier-transform spectrometer in Beijing. The results show the retrievals of all footprints, except footprint-6, have relatively low bias (within ~2 ppm). In addition, the orbital XCO2 distributions over Australia and Northeast China between TanSat and the second Orbiting Carbon Observatory (OCO-2) on 20 April 2017 are compared. It shows that the mean XCO2 from TanSat is slightly lower than that of OCO-2 with an average difference of ~0.85 ppm. A reasonable agreement in XCO2 distribution is found over Australia and Northeast China between TanSat and OCO-2. |
| Author | Stammes, Piet Zhang, Peng Wang, Shupeng van der A, Ronald Zhang, Xingying Wang, Weihe Fang, Li Bi, Yanmeng Wang, Ping Lu, Naimeng |
| Author_xml | – sequence: 1 givenname: Shupeng surname: Wang fullname: Wang, Shupeng – sequence: 2 givenname: Ronald surname: van der A fullname: van der A, Ronald – sequence: 3 givenname: Piet surname: Stammes fullname: Stammes, Piet – sequence: 4 givenname: Weihe surname: Wang fullname: Wang, Weihe – sequence: 5 givenname: Peng orcidid: 0000-0002-7115-1389 surname: Zhang fullname: Zhang, Peng – sequence: 6 givenname: Naimeng surname: Lu fullname: Lu, Naimeng – sequence: 7 givenname: Xingying surname: Zhang fullname: Zhang, Xingying – sequence: 8 givenname: Yanmeng surname: Bi fullname: Bi, Yanmeng – sequence: 9 givenname: Ping surname: Wang fullname: Wang, Ping – sequence: 10 givenname: Li surname: Fang fullname: Fang, Li |
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| CitedBy_id | crossref_primary_10_1016_j_jqsrt_2021_108006 crossref_primary_10_1016_j_jqsrt_2023_108712 crossref_primary_10_34133_2022_9816536 crossref_primary_10_3390_atmos12121586 crossref_primary_10_5194_amt_15_4819_2022 crossref_primary_10_3390_rs15061671 crossref_primary_10_5194_amt_14_6483_2021 crossref_primary_10_1109_TGRS_2021_3066623 crossref_primary_10_3390_rs12213626 crossref_primary_10_3390_rs16203818 crossref_primary_10_3390_rs14143334 crossref_primary_10_3390_s20205831 crossref_primary_10_3390_s20174958 crossref_primary_10_3390_atmos16030238 crossref_primary_10_3390_s21010277 crossref_primary_10_1038_s41566_024_01525_9 crossref_primary_10_3390_rs16081414 |
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| Snippet | In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (XCO2) from the TanSat observations using the ACOS... |
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| SubjectTerms | ACOS Aerosols Algorithms Bias Carbon dioxide Footprints Fourier transform spectrometers full physical retrieval algorithm Gas analyzers Goodness of fit Greenhouse effect Greenhouse gases Observatories Orbits Retrieval Satellites Spectral bands TanSat TCCON Unmanned aerial vehicles XCO2 |
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| Title | Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements |
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