One expectation when computationally solving an Earth system model is that a correct answer exists, that with adequate physical approximations and numerical methods our solutions will converge to that single answer. With such hubris, we performed a controlled numerical test of the atmospheric transport of CO 2 using 2 models known for accurate transport of trace species. Resulting differences were unexpectedly large, indicating that in some cases, scientific conclusions may err because of lack of knowledge of the numerical errors in tracer transport models. By doubling the resolution, thereby reducing numerical error, both models show some convergence to the same answer. Now, under realistic conditions, we identify a practical approach for finding the correct answer and thus quantifying the advection error. biogeochemical cycles ͉ model errors ͉ source inversions ͉ uncertainties T he importance of accurate transport of trace species in the atmosphere and ocean with realistic time-varying, 3D flows has been investigated (1-11). Many of these studies demonstrate improvements in the circulation as well as the tracer distribution with increased resolution or better numerics. Fewer studies have attempted to quantify the overall error associated with model resolution (9, 10). Choice of numerical method can mean more than just a refinement of errors but can dramatically alter the scientific results (4-7). In general, the use of more accurate numerical methods or higher resolution yields better results, yet the measure of improvement is based on reproducing expected results for smooth 1D and 2D flows with analytic solutions and does not truly quantify the error in realistic scientific applications. We take another approach with 2 numerical methods (1, 2) to determine the correct answer, and thus absolute error, in tracer transport under realistic conditions. Chemistry-Transport Models (CTMs) are the basic tool for simulations of atmospheric chemistry and composition in applications from climate change to ozone depletion to air quality. CTMs include a wide range of processes that alter the distribution of trace gases and aerosols, such as surface and in situ emissions, photochemistry, gas-phase and surface chemistry, cloud processing, precipitation scavenging, convection and boundary-layer mixing, exchange with the land and oceans, and long-range transport. CTMs solve for the abundances of trace species on a 3D grid but also include tracer transport and mixing processes that are inherently below the horizontal grid resolution, such as convection. At the core of these models is the link between sources and sinks by transport of trace species in a time-varying, 3D wind field (a.k.a. advection).As part of the National Aeronautics and Space Administration Global Modeling Initiative (GMI), 2 modern CTMs undertook a numerical experiment of realistic 3D transport with no analytic solution to demonstrate that they would produce results that were effectively identical at the level of accuracy required for the scientific problems ...