The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The utility of remotely sensed CO2 concentration data in surface source inversions
Abstract
This paper aims to establish the required precision for column‐integrated CO 2 concentration data to be useful in constraining surface sources. We use the method of synthesis inversion and compare the uncertainties in regional sources calculated from a moderate‐sized surface network and either global or oceanic coverage of column‐integrated pseudodata. With a simple measure of total uncertainty, we require precision of monthly averaged column data better than 2.5 ppmv on a 8° × 10° footprint for comparable performance with the existing surface network. If coverage is only oceanic we require 1.5 ppmv precision. We recommend more detailed studies on the feasibility of obtaining such observations from current and future satellite instruments.
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Cites
Reconstructing the recent carbon cycle from atmospheric CO2, δ13C and O2/N2 observations*
Rayner, P. J., Enting, I. G., Francey, R. J., & Langenfelds, R. (1999) · Tellus B: Chemical and Physical Meteorology · doi:10.3402/tellusb.v51i2.16273 · Cited by 388
Self-citationA synthesis inversion of the concentration and δ13C of atmospheric CO2
Enting, I. G., Trudinger, C. M., & Francey, R. J. (1995) · Tellus B: Chemical and Physical Meteorology · doi:10.3402/tellusb.v47i1-2.15998 · Cited by 280
Reconstructing the recent carbon cycle from atmospheric CO2, delta13C and O2/N2 observations*
Rayner, P. J., Enting, I. G., Francey, R. J., et al. (1999) · Tellus B · doi:10.1034/j.1600-0889.1999.t01-1-00008.x · Cited by 256
Self-citationA synthesis inversion of the concentration and delta13 C of atmospheric CO2
ENTING, I. G., TRUDINGER, C. M., & FRANCEY, R. J. (1995) · Tellus B · doi:10.1034/j.1600-0889.47.issue1.5.x · Cited by 208
FUNG, I. Y., Prentice, K. C., Matthews, E., Lerner, J. A., & Russell, G. L. (1983) · Journal of Geophysical Research Atmospheres · doi:10.1029/jc088ic02p01281 · Cited by 187
Law, R. M., Rayner, P. J., Denning, A. S., Erickson, D., Fung, I. Y., Heimann, M., Piper, S. C., Ramonet, M., Taguchi, S., Taylor, J. A., et al. (1996) · Global Biogeochemical Cycles · doi:10.1029/96gb01892 · Cited by 168
Self-citationOptimal sampling of the atmosphere for purpose of inverse modeling: A model study
Gloor, M. U., Fan, S., Pacala, S. W., & Sarmiento, J. L. (2000) · Global Biogeochemical Cycles · doi:10.1029/1999gb900052 · Cited by 110
Cited by
An atmospheric perspective on North American carbon dioxide exchange: CarbonTracker
Peters, W., Jacobson, A. R., Sweeney, C., Andrews, A. E., Conway, T. J., Masarie, K., Miller, J. B., Bruhwiler, L. M. P., Pétron, G., Hirsch, A. I., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708986104 · Cited by 1,051
Kuze, A., Suto, H., Nakajima, M., & Hamazaki, T. (2009) · Applied Optics · doi:10.1364/ao.48.006716 · Cited by 938
Quantifying CO2 Emissions From Individual Power Plants From Space
Nassar, R., Hill, T. G., McLinden, C. A., Wunch, D., Jones, D. B. A., & Crisp, D. (2017) · Geophysical Research Letters · doi:10.1002/2017gl074702 · Cited by 336
Role of simulated GOSAT total column CO2 observations in surface CO2 flux uncertainty reduction
Kadygrov, N., Maksyutov, S., Eguchi, N., Aoki, T., Nakazawa, T., Yokota, T., & Inoue, G. (2009) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd011597 · Cited by 35
Metadata
- Authors
- Rayner, P. J., & O'Brien, D. M.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2001-01
- Volume
- 28
- Issue
- 1
- Pages
- 175-178
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2050553313
- Cited by
- 441
- References
- 7
- FWCI
- 16.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
