Spaceborne measurements of atmospheric CO2 by high‐resolution NIR spectrometry of reflected sunlight: An introductory study
By Z. Kuang, J. Margolis, Geoffrey C. Toon, David Crisp, Yuk L. Yung. 2002
171 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/578e48f9e73b6d17c2b0bfdf1a389860d9c8026a
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
- D. J. Jacob
- François-Marie Bréon
- Charles E. Miller
- Phil DeCola
- Heinrich Bovensmann
- Oliver Schneising
In Global and Planetary Change
- David Crisp
- Paul O. Wennberg
- D. J. Jacob
- François-Marie Bréon
- Charles E. Miller
- Phil DeCola
- Heinrich Bovensmann
- Oliver Schneising
Citations in the corpus
- Space‐based near‐infrared CO2 measurements: Testing the Orbiting Carbon Observatory retrieval algorithm and validation concept using SCIAMACHY observations over Park Falls, Wisconsin (2006, background): “5 ppm) [Kuang et al., 2002].”
- Evidence of systematic errors in SCIAMACHY-observed CO 2 due to aerosols (2005, unknown): “According to the theoretical study by Kuang et al. (2002) this approach should allow a precision of ∼0.3–2.5 ppm for aerosol optical thicknesses less than 0.3.”
- Retrieval of atmospheric CO2 with enhanced accuracy and precision from SCIAMACHY: validation with FTS measurements and comparison with model results (2011, methodology): “[8] For the high spectral resolution instruments TANSO and OCO, algorithms have been developed that correct for scattering effects [Kuang et al., 2002; Bril et al., 2007; Connor et al., 2008; Butz et al., 2009].”
- The Orbiting Carbon Observatory (OCO) mission (2004, methodology): “Estimates of XCO2 were then derived with a remote sensing retrieval algorithm based on optimal estimation retrieval theory (Rodgers, 1976; Rodgers, 2000; Kuang et al., 2002).”
- Precision requirements for space-based XCO2 data (2007, methodology): “…analyzed GLAS data and determined that the global fraction of clear sky scenes (t < 0.01) is 15% with an additional 20% of scenes having total cloud and aerosol optical depth t< 0.2, the approximate threshold for which precise XCO2 retrievals are possible [Crisp et al., 2004; Kuang et al., 2002].”
- Inverse modeling of CO2 sources and sinks using satellite data: a synthetic inter-comparison of measurement techniques and their performance as a function of space and time (2003, methodology): “The measurement precision is assumed the same as for SCIAMACHY (3.6 ppmv),25 although this may be somewhat conservative according to Kuang et al. (2002) who report achievable precisions of 0.3–2.5 ppmv.”