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Forecasters can improve their forecasts by making more intelligent use of NWP model guidance. The COMET NWP Distance Learning Course is a self-paced, online course that provides forecasters a better understanding of numerical model fundamentals.
By taking this 16-20 hour course, you will learn:
- The components of an NWP system
- Why parameterization of many physical processes is necessary
- Operationally significant information about model type, horizontal resolution, vertical coordinate systems, vertical resolution, and domain and boundary conditions
- How NWP models handle precipitation and cloud processes through parameterizations and/or explicit methods
- How NWP models parameterize sub-surface, boundary-layer, and free atmospheric processes, such as surface snow processes, soil characteristics, vegetation, evapotranspiration, PBL processes and parameterizations, and trace gases, and their interaction with the radiative transfer process
- The impact of postprocessing and how to account for it in the forecast process
- The statistical methods used to enhance raw model output, including MOS guidance
- NWP verification methodologies and use of daily model diagnostics
- The process and ever-increasing importance of data assimilation
- How data influence the analysis, and the limitations of data assimilation systems
- The importance of initial conditions on the quality of NWP guidance, and the challenges of assessing the quality of NWP guidance based on the initial conditions
- The role of ensemble forecasts, and how ensemble prediction systems (EPSs) are created
- How ensemble forecast products differ from traditional NWP products
- How to interpret ensemble forecast products, including the advantages and limitations of each product
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