Training

Human resource capacity in using and applying modeling technology is highly needed. Improving the quality of human resources is essential for mastering modeling technology. One way to improve mastery of modeling technology is through training.

The ability to master modeling technology is not limited to modeling itself. Other skills are also required, including data processing and interpretation of modeling results. Data processing is needed when preparing input data for the model and also when processing model output data.

Data interpretation is required to analyze model outputs. Model outputs do not always produce good or accurate results. Many factors determine the accuracy of a model, including model input data, the numerical methods used, the assumptions applied that may limit model accuracy, the parameterization used, grid size, and other factors. When a model produces results, it is important to understand the relationship between the modeling scenario used and the resulting model outputs. If the model outputs contain inconsistencies, it is necessary to identify which parameters are not appropriate and need to be adjusted. After the model results have passed the verification and validation process, the model can then be considered accurate.

If a comprehensive training package in data processing, modeling, and data interpretation is needed to master modeling technology, please complete the form below. Once the required number of participants has been reached and the selection process has been completed, the training will begin shortly.