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improve model
when no observational data are available to improve model estimates by assimilation, it can be expected that the usage of a regional coupled model system will improve the qualitiy of predictions strongly.
      
For the next phase of ISLSCP data development, higher resolution data, which can reflect local heterogeneity of vegetation and soil characteristics, include more rain gauge data are highly desirable to improve model simulations.
      
Application results demonstrate that the proposed techniques can significantly improve model generalisation and perform better than aggregating all the individual networks.
      
Invoking the macropore option of the model did not consistently improve model prediction of herbicide leaching.
      
) on soil infiltration characteristics as well as improve model predictability.
      
First, we used a geographic information system (GIS) and several environmental databases to improve model estimates of several parameters.
      
Only the neural network was able to use information on peak discharge and timing of the peak in the previous winter to improve model performances.
      
Therefore, suggestions to improve model development, assessment and application in ecological river management are presented.
      
Combining 15N tracer data with dynamic simulation modelling provides a powerful tool to improve model performance and process descriptions, and to evaluate impacts of atmospheric N deposition on N cycling in ecosystems.
      
Subsequent models suggested by a series of exploratory factor analyses failed to improve model fit substantially for both scales.
      
A hysteretic constitutive model is deemed likely to improve model results.
      
A study of current practices was conducted to evaluate the processing flow and determine how to improve model building methods.
      
An availability factor for each region is used to reflect this fact to improve model performance.
      
Assimilation of more Oklahoma Mesonet observations, including surface fluxes and atmospheric variables, would likely improve model forecasts.
      
CGUN and CCON use linear regression on past errors in an attempt to improve model performance.
      
Certainly, more detailed and expansive measures would improve model specification, and the reliability and validity of an empirical study.
      
Examples from the research were used to illustrate how these diagnostic measures helped improve model quality.
      
EPA and improve model performance while retaining consistency with the BART guideline.
      
Furthermore, it appears that beyond a critical number of salient viewpoints, additional ones do not significantly improve model quality.
      
Here are a few things we do to improve model adaptability, while hopefully not giving up too much in terms of simulated information ratios.
      
 

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