Accounting for the effect of transport errors on tracer inversions
By John C. Lin, C. Gerbig. 2005
143 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/c9aaf2be81f1f16d93fe43f471767b0ffe5957e7
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
In Global and Planetary Change
Citations in the corpus
- Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model (2010, background): “Since uncertainties due to transport errors can have a large impact on carbon budget computations and inferred source strengths (Gerbig et al. 2008; Gloor et al. 1999; Lin and Gerbig 2005 ), this suggests that a casedependent evaluation of the sensitivities and associated uncertainties may be neede”
- Impact of correlated observation errors on inverted CO2 surface fluxes from OCO measurements (2007, methodology): “lines of the methods described by Gerbig et al. [2003] and Lin and Gerbig [2005] for standard deviations.”