Regional-scale geostatistical inverse modeling of North American CO2 fluxes: a synthetic data study
Atmospheric Chemistry and Physics Discussions
Our system will offer users the ability to answer a variety of questions related to anomaly detection. Single-method analysis will allow the user to examine, explore and visualize a sequence of maps produced by a single DA method with a specific prior and system matrix, and identify anomalous patterns in the sequence of CO 2 flux maps produced by that method. In specific instances, where disturbances, such as weather-related events or changing crop patterns are known to have occurred,
... occurred, single-method analysis will offer a way to evaluate a DA method's ability to detect particular kinds of anomalies. When the occurrence of a specific disturbance is not known, the single-method analysis guides the user to specific regions and times where the user's energy should be focused. Multiple-method analysis will allow the user to compare and visualize (sequences of) maps produced by two or more DA methods. As illustrated above, different methods/models can produce widely varying flux estimates. Our analysis tools will allow the user to assess which methods are best suited for the detection of certain kinds of anomalies.