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> Publications for Orbiting Carbon Observatory-2 (OCO-2)
Publication Citation
Peiro, H.,
et al.
(2022),
Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7
,
Atmos. Chem. Phys.
, doi:10.5194/acp-22-1097-2022.
Peng, B.,
et al.
(2020),
Assessing the benefit of satellite-based Solar-Induced Chlorophyll T Fluorescence in crop yield prediction
,
Int J Appl Earth Obs Geoinformation, 90
, 102126, doi:10.1016/j.jag.2020.102126.
Philip, S.,
et al.
(2019),
Prior biosphere model impact on global terrestrial CO2 fluxes estimated from OCO-2 retrievals
,
Atmos. Chem. Phys., 19
, 13267-13287, doi:10.5194/acp-19-13267-2019.
Pollard, D. F.,
et al.
(2018),
Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements Lianghai Wu1 , Otto Hasekamp1 , Haili Hu1 , Jochen Landgraf1 , Andre Butz2,3 , Joost aan de Brugh1 , Ilse Aben1 ,
,
Atmos. Meas. Tech., 11
, 3111-3130, doi:10.5194/amt-11-3111-2018.
Qiu, B.,
et al.
(2020),
Responses of Australian Dryland Vegetation to the 2019 Heat Wave at a Subdaily Scale
,
Geophys. Res. Lett., 47
, e2019GL086569, doi:10.1029/2019GL086569.
Qiu, R.,
et al.
(2020),
CO2 Concentration, A Critical Factor Influencing the Relationship between Solar-induced Chlorophyll Fluorescence and Gross Primary Productivity
,
Remote Sensing, 12
, 1377, doi:10.3390/rs12091377.
Reuter, M.,
et al.
(2019),
Towards monitoring localized CO2 emissions from space: co-located regional CO2 and NO2 enhancements observed by the OCO-2 and S5P satellites
,
Atmos. Chem. Phys., 19
, 9371-9383, doi:10.5194/acp-19-9371-2019.
Reuter, M.,
et al.
(2020),
Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications
,
Atmos. Meas. Tech., 13
, 789-819, doi:10.5194/amt-13-789-2020.
Richardson, M., and G. L. Stephens (2018),
Information content of OCO-2 oxygen A-band channels for retrieving marine liquid cloud properties
,
Atmos. Meas. Tech., 11
, 1515-1528, doi:10.5194/amt-11-1515-2018.
Richardson, M.
,
et al.
(2017),
The OCO-2 oxygen A-band response to liquid marine cloud properties from CALIPSO and MODIS
,
J. Geophys. Res., 122
, 8255-8275, doi:10.1002/2017JD026561.
Richardson, M.,
et al.
(2019),
Marine liquid cloud geometric thickness retrieved from OCO-2’s oxygen A-band spectrometer
,
Atmos. Meas. Tech., 12
, 1717-1737, doi:10.5194/amt-12-1717-2019.
Richardson, M.
,
et al.
(2020),
A new OCO-2 cloud flagging and rapid retrieval of marine boundary layer cloud properties
,
Atmos. Meas. Tech.
, doi:10.5194/amt-2020-140.
Scholze, M.,
et al.
(2020),
Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO2 , Soil Moisture, and Vegetation Optical Depth
,
Geophys. Res. Lett., 46
, doi:10.1029/2019GL085725.
Schuh, A.,
et al.
(2019),
Quantifying the impact of atmospheric transport uncertainty on CO2 surface flux estimates
,
Global Biogeochem. Cycles, 33
, 484-500.
Sellers, P. J.,
et al.
(2018),
Observing Carbon Cycle-climate feedbacks from space
,
Proc. Natl. Acad. Sci., 115
, 7860-7868, doi:10.1073/pnas.1716613115.
Sellersa, P. J.,
et al.
(2018),
PERSPECTIVE PERSPECTIVE Observing carbon cycle–climate feedbacks from space
,
Proc. Natl. Acad. Sci., 115
, doi:10.1073/pnas.1716613115.
Sinha, S. K.,
et al.
(2020),
Estimation of Seasonal Sun-Induced Fluorescence Dynamics of Indian T Tropical Deciduous Forests using SCOPE and Sentinel-2 MSI
,
Int J Appl Earth Obs Geoinformation, 91
, 102155, doi:10.1016/j.jag.2020.102155.
Somkuti, P.,
et al.
(2017),
Application of a PCA-based Fast Radiative Transfer Model to XCO2 Retrievals in the Shortwave Infrared
,
J. Geophys. Res.
, doi:10.1002/2017JD027013
(submitted)
.
Stofferahn, E.,
et al.
(2019),
The Arctic-Boreal vulnerability experiment model benchmarking system
,
Environ. Res. Lett., 14
, 055002, doi:10.1088/1748-9326/ab10fa.
Su, Z.,
et al.
(2017),
Assessing accuracy and precision for space-based measurements of carbon dioxide: An associated statistical methodology revisited
,
Earth and Space Science, 4
, 147-161, doi:10.1002/2016EA000228.
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