Data Processing

Data processing plays an important role in modeling. Throughout the development of modeling scenarios, data processing is required, starting from the preparation of model input data and parameterization data to the processing of model output data. Coastal, marine, weather, and climate data need to be processed before they can be used in modeling or applied in the model verification and validation process. Mapping data processing through geographic information system analysis is also needed to help modeling activities by adding other information derived from model outputs.

Along with the development of satellite technology, various types of satellite imagery data are now available to monitor aquatic conditions. These satellite imagery data can be used as supporting information for model outputs. The satellite imagery data need to be processed so they can be used in modeling technology. Processed satellite imagery data are also highly useful in the model verification and validation process because satellite imagery provides broad spatial coverage at the same time. For example, the output of an oil spill model module can show the distribution pattern of spilled oil after a certain period. At the same time, Radarsat satellite imagery may be available and can be processed to observe the oil spill distribution pattern. By comparing the model output with the Radarsat satellite imagery, it can be qualitatively assessed how accurately the oil spill model simulates the spilled oil.

In some cases, data processing is carried out continuously. Therefore, an application in the form of software is needed, developed according to specific data processing requirements. This software can provide effective support because the work does not need to be done manually and repeatedly. Instead, the process can be carried out automatically by the developed software. As a result, all stages of data processing for preparing model input data and processing model output data can be performed automatically by the software.

Various techniques and datasets are involved in data processing. In general, the types of data processing required for modeling purposes are as follows: