Abstract: A mechanism is provided for targeted, iterative refinement of advection-diffusion model grid resolution. A simulation is executed of advection-diffusion processes for an area associated with a user-defined location. Responsive to detecting an event within a subset of cells of a first set of cells, the subset of cells is refined such that each of the subset of cells is gridded to comprise a second set of cells with dimensions less than the first set of cells. A number of run-time floating-point operations per second (FLOPS) of the model is computed for each of the first set of cells and the second set of cells. Based on a collective time associated with a computed number of FLOPS failing to exceed the user-defined constraint, the simulation continues to execute with the first set of cells and the second set of cells. The process is repeated until a predetermined resolution value is met.

Abstract: A mechanism is provided for targeted, iterative refinement of advection-diffusion model grid resolution. A simulation is executed of advection-diffusion processes for an area associated with a user-defined location. Responsive to detecting an event within a subset of cells of a first set of cells, the subset of cells is refitted such that each of the subset of cells is gridded to comprise a second set of cells with dimensions less than the first set of cells. A number of run-time floating-point operations per second (FLOPS) of the model is computed for each of the first set of cells and the second set of cells. Based on a collective time associated with a computed number of FLOPS failing to exceed the user-defined constraint, the simulation continues to execute with the first set of cells and the second set of cells. The process is repeated until a predetermined resolution value is met.

Abstract: A computer-implemented method includes calculating, by a processor of a computer system, a value for a turbulent flow parameter in a simulated model comprising an initial turbulent flow scheme for an advection-diffusion process; determining, by the processor of the computer system, that the value for the turbulent flow parameter has exceeded a predetermined threshold; conducting, by the processor of the computer system, a search to identify search results for other turbulent flow schemes which match the value of the turbulent flow parameter; determining, by the processor of the computer system, a quantified level of information confidence for the search results; annotating, by the processor of the computer system, the search results with the quantified level of information confidence; and selecting, by the processor of the computer system, a new turbulent flow scheme corresponding to the search result having the highest quantified level of information confidence.