Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3999-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-3999-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Validation and analysis of MOPITT CO observations of the Amazon Basin
M. N. Deeter
CORRESPONDING AUTHOR
Atmospheric Chemistry Observations and Modeling Laboratory,
National Center for Atmospheric Research, Boulder, CO, USA
S. Martínez-Alonso
Atmospheric Chemistry Observations and Modeling Laboratory,
National Center for Atmospheric Research, Boulder, CO, USA
L. V. Gatti
Instituto de Pesquisas Energéticas e Nucleares (IPEN)–Comissao
Nacional de Energia Nuclear (CNEN)–Atmospheric Chemistry Laboratory, 2242
Avenida Professor Lineu Prestes, Cidade Universitaria, Sao Paulo CEP
05508-000, Brazil
M. Gloor
School of Geography, University of Leeds, Woodhouse Lane, Leeds LS9 2JT, UK
J. B. Miller
Global Monitoring Division, Earth System Research Laboratory,
National Oceanic and Atmospheric Administration, 325 Broadway, Boulder,
CO 80305, USA
Cooperative Institute for Research in Environmental Sciences
(CIRES), University of Colorado, Boulder, CO 80309, USA
L. G. Domingues
Instituto de Pesquisas Energéticas e Nucleares (IPEN)–Comissao
Nacional de Energia Nuclear (CNEN)–Atmospheric Chemistry Laboratory, 2242
Avenida Professor Lineu Prestes, Cidade Universitaria, Sao Paulo CEP
05508-000, Brazil
C. S. C. Correia
Instituto de Pesquisas Energéticas e Nucleares (IPEN)–Comissao
Nacional de Energia Nuclear (CNEN)–Atmospheric Chemistry Laboratory, 2242
Avenida Professor Lineu Prestes, Cidade Universitaria, Sao Paulo CEP
05508-000, Brazil
Viewed
Total article views: 2,943 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,789 | 792 | 362 | 2,943 | 119 | 131 |
- HTML: 1,789
- PDF: 792
- XML: 362
- Total: 2,943
- BibTeX: 119
- EndNote: 131
Total article views: 2,552 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Aug 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,574 | 627 | 351 | 2,552 | 110 | 123 |
- HTML: 1,574
- PDF: 627
- XML: 351
- Total: 2,552
- BibTeX: 110
- EndNote: 123
Total article views: 391 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Apr 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
215 | 165 | 11 | 391 | 9 | 8 |
- HTML: 215
- PDF: 165
- XML: 11
- Total: 391
- BibTeX: 9
- EndNote: 8
Cited
16 citations as recorded by crossref.
- Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data E. Gloor et al. 10.1098/rstb.2017.0302
- Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product M. Deeter et al. 10.5194/amt-12-4561-2019
- The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA E. Darbyshire et al. 10.5194/acp-19-5771-2019
- Assessing Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals over urban versus non-urban regions W. Tang et al. 10.5194/amt-13-1337-2020
- Carbon monoxide profile variability over the Manaus Metropolitan Region and its relations with biomass burning R. Signori et al. 10.5327/Z2176-94781534
- Exploring the temporal trends and seasonal behaviour of tropospheric trace gases over Pakistan by exploiting satellite observations N. Zeb et al. 10.1016/j.atmosenv.2018.10.053
- Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. 10.1126/science.aam5776
- Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
- Satellite‐Based Analysis of CO Seasonal and Interannual Variability Over the Amazon Basin M. Deeter et al. 10.1029/2018JD028425
- COVID-19 Pandemic: Impacts on Air Quality during Partial Lockdown in the Metropolitan Area of São Paulo D. Alvim et al. 10.3390/rs15051262
- Evaluation of MOPITT Version 7 joint TIR–NIR X<sub>CO</sub> retrievals with TCCON J. Hedelius et al. 10.5194/amt-12-5547-2019
- Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations D. Alvim et al. 10.3390/rs13112231
- 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions L. Aragão et al. 10.1038/s41467-017-02771-y
- Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. 10.5194/acp-17-14675-2017
- Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al. 10.5194/acp-22-14735-2022
- Impacts of MOPITT cloud detection revisions on observation frequency and mapping of highly polluted scenes M. Deeter et al. 10.1016/j.rse.2021.112516
16 citations as recorded by crossref.
- Tropical land carbon cycle responses to 2015/16 El Niño as recorded by atmospheric greenhouse gas and remote sensing data E. Gloor et al. 10.1098/rstb.2017.0302
- Radiance-based retrieval bias mitigation for the MOPITT instrument: the version 8 product M. Deeter et al. 10.5194/amt-12-4561-2019
- The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA E. Darbyshire et al. 10.5194/acp-19-5771-2019
- Assessing Measurements of Pollution in the Troposphere (MOPITT) carbon monoxide retrievals over urban versus non-urban regions W. Tang et al. 10.5194/amt-13-1337-2020
- Carbon monoxide profile variability over the Manaus Metropolitan Region and its relations with biomass burning R. Signori et al. 10.5327/Z2176-94781534
- Exploring the temporal trends and seasonal behaviour of tropospheric trace gases over Pakistan by exploiting satellite observations N. Zeb et al. 10.1016/j.atmosenv.2018.10.053
- Influence of El Niño on atmospheric CO 2 over the tropical Pacific Ocean: Findings from NASA’s OCO-2 mission A. Chatterjee et al. 10.1126/science.aam5776
- Emission of trace gases and aerosols from biomass burning – an updated assessment M. Andreae 10.5194/acp-19-8523-2019
- Satellite‐Based Analysis of CO Seasonal and Interannual Variability Over the Amazon Basin M. Deeter et al. 10.1029/2018JD028425
- COVID-19 Pandemic: Impacts on Air Quality during Partial Lockdown in the Metropolitan Area of São Paulo D. Alvim et al. 10.3390/rs15051262
- Evaluation of MOPITT Version 7 joint TIR–NIR X<sub>CO</sub> retrievals with TCCON J. Hedelius et al. 10.5194/amt-12-5547-2019
- Evaluating Carbon Monoxide and Aerosol Optical Depth Simulations from CAM-Chem Using Satellite Observations D. Alvim et al. 10.3390/rs13112231
- 21st Century drought-related fires counteract the decline of Amazon deforestation carbon emissions L. Aragão et al. 10.1038/s41467-017-02771-y
- Quantification of CO emissions from the city of Madrid using MOPITT satellite retrievals and WRF simulations I. Dekker et al. 10.5194/acp-17-14675-2017
- Sixteen years of MOPITT satellite data strongly constrain Amazon CO fire emissions S. Naus et al. 10.5194/acp-22-14735-2022
- Impacts of MOPITT cloud detection revisions on observation frequency and mapping of highly polluted scenes M. Deeter et al. 10.1016/j.rse.2021.112516
Saved (preprint)
Latest update: 19 Nov 2024
Short summary
Satellite methods allow biomass burning emissions to be accurately quantified with high spatial and temporal resolution. With that ultimate goal, we analyze satellite retrievals of carbon monoxide from the MOPITT instrument over the Amazon Basin. Validation results for four Amazonian sites indicate a significant negative bias in retrieved lower-tropospheric CO concentrations. The interannual variability of biomass burning emissions from 2000 to 2015 is also studied using the MOPITT record.
Satellite methods allow biomass burning emissions to be accurately quantified with high spatial...