Configuration of large scale advection diffusion models with predetermined rules

Abstract

A computer-implemented method for configuring an advection diffusion model may include retrieving, via a processor, a plurality of advection diffusion model parameters indicative of model extremes of the advection diffusion model, retrieving, via the processor, convergence area information indicative of a convergence area for the advection diffusion model, determining, via the processor, an accuracy metric for each of the plurality of advection diffusion model parameters, selecting, via the processor, an optimal advection diffusion model parameter from the plurality of advection diffusion model parameters, and configuring, via the processor, the advection diffusion model with the optimal advection diffusion model parameter.

What is claimed is: 
     
         1 . A computer-implemented method for configuring an advection diffusion model, the computer-implemented method comprising:
 identifying, via a processor, two advection diffusion model parameters from a plurality of advection diffusion model parameters;   evaluating, via the processor, a half distance between the two advection diffusion model parameters;   outputting, via the processor, a third advection diffusion model parameter, wherein the third advection diffusion model parameter is a union of the two advection diffusion model parameters comprising at least one characteristic similar to the advection diffusion model and at least one new parameter setting for the advection diffusion model based on an accuracy metric of the at least one characteristic; and   configuring, via the processor, the advection diffusion model with the third advection diffusion model parameter.   
     
     
         2 . The computer-implemented method of  claim 1 , wherein each of the plurality of advection diffusion model parameters comprises a plurality of parameter sets for configuring the advection diffusion model, each set having at least one setting for configuring the advection diffusion model different from the other parameter sets. 
     
     
         3 . The computer-implemented method of  claim 1 , wherein determining the accuracy metric for each of the plurality of advection diffusion model parameters comprises:
 accessing a validation statistic set;   parsing a database of model run information comprising parameter settings from a plurality of previous advection diffusion model runs;   identifying a previous model run from the model run information, wherein the previous model run comprises at least one characteristic similar to the advection diffusion model; and   defining at least one new parameter setting for the advection diffusion model based on an accuracy metric of the at least one characteristic.   
     
     
         4 . The computer-implemented method of  claim 1 , further comprising
 running the advection diffusion model and recording a result; and   determining an accuracy based on the result and a validation statistic set.   
     
     
         5 . The computer-implemented method of  claim 4 , further comprising updating a database of model run information with an update indicative of at least one characteristic, wherein the update comprises the accuracy. 
     
     
         6 . The computer-implemented method of  claim 1 , wherein the two advection diffusion model parameters are identified based on an accuracy metric and convergence area information. 
     
     
         7 . A system for configuring an advection diffusion model comprising a processor configured to:
 identify two advection diffusion model parameters from a plurality of advection diffusion model parameters;   evaluate a half distance between the two advection diffusion model parameters;   output a third advection diffusion model parameter, wherein the third advection diffusion model parameter is a union of the two advection diffusion model parameters comprising at least one characteristic similar to the advection diffusion model and at least one new parameter setting for the advection diffusion model based on an accuracy metric of the at least one characteristic; and   configure the advection diffusion model with the third advection diffusion model parameter.   
     
     
         8 . The system of  claim 7 , wherein each of the plurality of advection diffusion model parameters comprises a plurality of parameter sets for configuring the advection diffusion model, each set having at least one setting for configuring the advection diffusion model different from the other parameter sets. 
     
     
         9 . The system of  claim 7 , wherein the processor is further configured to:
 access a validation statistic set;   parse a database of model run information comprising parameter settings from a plurality of previous advection diffusion model runs;   identify a previous model run from the model run information, wherein the previous model run comprises at least one characteristic similar to advection diffusion model; and   define at least one new parameter setting for the advection diffusion model based on the accuracy metric of the at least one characteristic.   
     
     
         10 . The system of  claim 7 , wherein the processor is further configured to:
 run the advection diffusion model and record a result; and   determine an accuracy based on the result and a validation statistic.   
     
     
         11 . The system of  claim 10 , wherein the processor is further configured to update a database of model run information with an update indicative of at least one characteristic, wherein the update comprises the accuracy. 
     
     
         12 . The system of  claim 7 , wherein the two advection diffusion model parameters are identified based on an accuracy metric and convergence area information. 
     
     
         13 . A computer program product for configuring an advection diffusion model, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:
 identifying two advection diffusion model parameters from a plurality of advection diffusion model parameters;   evaluating a half distance between the two advection diffusion model parameters;   outputting a third advection diffusion model parameter, wherein the third advection diffusion model parameter is a union of the two advection diffusion model parameters comprising at least one characteristic similar to the advection diffusion model and at least one new parameter setting for the advection diffusion model based on an accuracy metric of the at least one characteristic; and   configuring the advection diffusion model with the third advection diffusion model parameter.   
     
     
         14 . The computer program product of  claim 13 , wherein each of the plurality of advection diffusion model parameters comprises a plurality of parameter sets for configuring the advection diffusion model, each set having at least one setting for configuring the advection diffusion model different from the other parameter sets. 
     
     
         15 . The computer program product of  claim 13 , wherein determining the accuracy metric for each of the plurality of advection diffusion model parameters comprises:
 accessing a validation statistic set;   parsing a database of model run information comprising parameter settings from a plurality of previous advection diffusion model runs;   identifying a previous model run from the model run information, wherein the previous model run comprises at least one characteristic similar to advection diffusion model; and   defining at least one new parameter setting for the advection diffusion model based on the accuracy metric of the at least one characteristic.   
     
     
         16 . The computer program product of  claim 13 , further comprising:
 running the advection diffusion model and recording a result; and   determining an accuracy based on the result and a validation statistic set.   
     
     
         17 . The computer program product of  claim 16 , further comprising updating a database of model run information with an update indicative of at least one characteristic, wherein the update comprises the accuracy.