Precision requirements for space-based XCO2 data
By Charles E. Miller, David Crisp, Phil DeCola, S. C. Olsen, J. Randerson, Anna M. Michalak, A. Alkhaled, Peter J. Rayner, D. J. Jacob, P. Suntharalingam and 18 more. 2007
290 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/834cac7285d67e8c43d88382e62fdea1032634c9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- David Crisp
- Paul O. Wennberg
- Heinrich Bovensmann
- Oliver Schneising
- Charles E. Miller
- John P. Burrows
- Michael Buchwitz
- Christopher W. O'Dell
In Global and Planetary Change
- David Crisp
- Paul I. Palmer
- Liang Feng
- Paul O. Wennberg
- Heinrich Bovensmann
- Oliver Schneising
- Charles E. Miller
- John P. Burrows
Citations in the corpus
- The Orbiting Carbon Observatory-2: first 18 months of science data products (2016, background): “…a challenging space-based remote sensing observation because even the largest regional CO2 sources and sinks produce changes in the background XCO2 distribution no larger than 2 %, and most are smaller than 0.25 % (1 part per million (ppm) out of the background 400 ppm) (see Miller et al., 2007).”
- Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm (2018, background): “However, XCO2 measurements must be both extremely accurate and precise in order to accurately determine fluxes (Miller et al., 2007), since fluxes are determined from small ( 2.5”
- Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks (2014, background): “Miller et al. (2007) show that the XCO2 sampled at 13:00 pm (local time) is most close to daily average XCO2.”
- The HITRAN 2008 molecular spectroscopic database (2005, unknown): “0 0 01 cm −1 or better, and beyond-Voigt-profile line-shape models [65,72,73] .”
- Retrieval of atmospheric CO2 with enhanced accuracy and precision from SCIAMACHY: validation with FTS measurements and comparison with model results (2011, background): “[33] As mentioned earlier, undetected biases on regional scales negatively impact surface flux inverse modeling [Miller et al., 2007; Chevallier et al., 2007].”
- The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products (2016, background): “…changes in the background XCO2 distribution that rarely exceed 0.25 % (e.g., 1 part per million (ppm) out of the ambient 400 ppm background, http://cdiac.ornl.gov/) on spatial scales ranging from that of a satellite footprint (a few square kilometers) to continental scales (Miller et al., 2007).”