Role of simulated GOSAT total column CO2 observations in surface CO2 flux uncertainty reduction
Open accessAbstract
We investigated the utility of Greenhouse Gases Observing Satellite (GOSAT) column CO 2 observations in surface CO 2 flux estimation. We addressed two key issues in carbon flux estimation from satellite data: (1) reduction of the CO 2 flux uncertainty and (2) bias in the constrained surface fluxes. Our results showed that GOSAT data with 1.7 ppm precision (monthly mean, land observation only) had the same utility as observational data from the existing surface network. By adding satellite observations with 2.5 ppm single‐shot random error and a bias of 1 ppm, it was possible to reduce the mean regional flux uncertainty by approximately 30%. Unbiased data with 2.5 ppm single‐shot precision (0.8 ppm for the monthly mean) halved the flux uncertainty. The aerosol‐dependent bias in satellite data with 1 ppm mean variance led to significant absolute errors in the surface CO 2 fluxes, highlighting a need for the accurate detection and rejection of biased data.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Satellite-based measurements are providing a new source of atmospheric trace gas data that can be used to estimate land surface fluxes with inverse modeling frameworks.
“Satellite-based measurements are providing a new source of atmospheric trace gas data that can be used to estimate land surface fluxes with inverse modeling frameworks 86,87”
From Climate-smart soils (2016) · cites this paper as [87]
Cites
Inverse Methods for Atmospheric Sounding: Theory and Practice
Rodgers, C. D. (2000) · Series on Atmospheric, Oceanic and Planetary Physics · doi:10.1142/3171 · Cited by 3,057 · see citing works
Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models
Gurney, K. R., Law, R. M., Denning, S., Rayner, P. J., Baker, D. F., Bousquet, P., Bruhwiler, L., Chen, Y.-H., Ciais, P., Fan, S., et al. (2002) · Nature · doi:10.1038/415626a · Cited by 1,226 · see citing works
Self-citationThe utility of remotely sensed CO 2 concentration data in surface source inversions
Rayner, P. J., & O'Brien, D. M. (2001) · Geophysical Research Letters · doi:10.1029/2000gl011912 · Cited by 443 · see citing works
Chevallier, F., Bréon, F., & Rayner, P. J. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006jd007375 · Cited by 442 · see citing works
Reconstructing the recent carbon cycle from atmospheric CO2, δ13C and O2/N2 observations*
Rayner, P. J., Enting, I. G., Francey, R. J., & Langenfelds, R. L. (1999) · Tellus B · doi:10.3402/tellusb.v51i2.16273 · Cited by 388 · see citing works
Gurney, K. R., Law, R. M., Denning, S., Rayner, P. J., Pak, B. C., Baker, D. F., Bousquet, P., Bruhwiler, L., Chen, Y., Ciais, P., et al. (2004) · Global Biogeochemical Cycles · doi:10.1029/2003gb002111 · Cited by 382 · see citing works
Self-citationPrecision requirements for space‐based data
Miller, C. E., Crisp, D., DeCola, P. L., Olsen, S. C., Randerson, J. T., Michalak, A. M., Alkhaled, A. A., Rayner, P. J., Jacob, D. J., Suntharalingam, P., et al. (2007) · Journal of Geophysical Research Atmospheres · doi:10.1029/2006jd007659 · Cited by 365 · see citing works
A synthesis inversion of the concentration and δ13C of atmospheric CO2
Enting, I. G., Trudinger, C. M., & Francey, R. J. (1995) · Tellus B · doi:10.3402/tellusb.v47i1-2.15998 · Cited by 280 · see citing works
Diner, D. J., BRASWELL, B. H., Davies, R., et al. (2005) · Remote Sensing of Environment · doi:10.1016/j.rse.2005.06.006 · Cited by 192 · see citing works
Gao, F., Schaaf, C., Strahler, A. H., et al. (2005) · Journal of Geophysical Research Atmospheres · doi:10.1029/2004jd005190 · Cited by 186 · see citing works
Houweling, S., Bréon, F., Aben, I., Rödenbeck, C., Gloor, M. U., Heimann, M., & Ciais, P. (2004) · Atmospheric chemistry and physics · doi:10.5194/acp-4-523-2004 · Cited by 172 · see citing works
Evidence of systematic errors in SCIAMACHY-observed CO 2 due to aerosols
Houweling, S., Hartmann, W., Aben, I., et al. (2005) · Atmospheric chemistry and physics · doi:10.5194/acp-5-3003-2005 · Cited by 149 · see citing works
Variational data assimilation for atmospheric CO2
Baker, D. F., Doney, S. C., & SCHIMEL, D. S. (2006) · Tellus B · doi:10.1111/j.1600-0889.2006.00218.x · Cited by 141 · see citing works
Patra, P. K., Ishizawa, M., Maksyutov, S. S., Nakazawa, T., & Inoue, G. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002258 · Cited by 126 · see citing works
Self-citationMaksyutov, S. S., Patra, P. K., Onishi, R., Saeki, T., & Nakazawa, T. (2008) · Institutional Repositories DataBase (IRDB) · doi:10.32131/jes.9.3 · Cited by 63 · see citing works
Self-citationRayner, P. J., Law, R. M., O'Brien, D. M., et al. (2002) · Journal of Geophysical Research Atmospheres · doi:10.1029/2001jd000618 · Cited by 44 · see citing works
Patra, P. K., Maksyutov, S. S., Sasano, Y., Nakajima, H., Inoue, G., & Nakazawa, T. (2003) · Journal of Geophysical Research Atmospheres · doi:10.1029/2003jd003661 · Cited by 43 · see citing works
Self-citationCO2 source inversions using satellite observations of the upper troposphere
Park, B. C., & Prather, M. J. (2001) · Geophysical Research Letters · doi:10.1029/2001gl013604 · Cited by 43 · see citing works
Center for Global Environmental Research
El‐Shaarawi, A. (2001) · Encyclopedia of Environmetrics · doi:10.1002/9780470057339.vac013 · Cited by 40 · see citing works
Yokota, T., Oguma, H., Morino, I., et al. (2004) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.578497 · Cited by 39 · see citing works
Self-citationInvestigation of clear‐sky occurrence rate estimated from CALIOP and MODIS observations
Eguchi, N., & Yokota, T. (2008) · Geophysical Research Letters · doi:10.1029/2008gl035897 · Cited by 32 · see citing works
Self-citationScattering layer statistics from space borne GLAS observations
Bréon, F., O'Brien, D. M., & Spinhirne, J. D. (2005) · Geophysical Research Letters · doi:10.1029/2005gl023825 · Cited by 22 · see citing works
Using continuous data to estimate clear‐sky errors in inversions of satellite CO2 measurements
Corbin, K. D., & Denning, S. (2006) · Geophysical Research Letters · doi:10.1029/2006gl025910 · Cited by 17 · see citing works
CGER's supercomputer activity report
地球環境研究センター (1994) · Center for Global Environmental Research, National Institute for Environmental Studies eBooks · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Paustian, K., Lehmann, J., Ogle, S., Reay, D., Robertson, G. P., & Smith, P. (2016) · Nature · doi:10.1038/nature17174 · Cited by 2,213 · see citing works
- Authors
- Kadygrov, N., Maksyutov, S., Eguchi, N., Aoki, T., Nakazawa, T., Yokota, T., & Inoue, G.
- Affiliations
- National Institute for Environmental Studies (JP)
- Tohoku University (JP)
- Research Institute for Humanity and Nature (JP)
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-11-14
- Volume
- 114
- Issue
- D21
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2028935781
- Cited by
- 35
- References
- 24
- Citations by year
- 2025: 1 · 2023: 1 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 1 · 2016: 5 · 2015: 3 · 2014: 2 · 2013: 5 · 2012: 2
- FWCI
- 2.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Geophysical Research Atmospheres (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Atmospheric and Environmental Gas Dynamics
- Physical Sciences › Chemistry › Spectroscopy › Spectroscopy and Laser Applications
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Keywords
- GOSAT, surface CO2 fluxes, flux uncertainty, satellite data assimilation, data quality control, carbon cycle
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
