You've seen it happen repeatedly. Forecasters have a tough forecast ahead of them. But how are they supposed to know which model data will be the best one to help them come to a conclusion about the situation? In situations like this, the first step should always be to assess the model data against a set of current observations that should show a 1-to-1 relationship with the model output.
Which variable should be plotted? On which surface? Which current observations will make the most sense to assess against? If you know the answers to some, but not all of these questions, find these answers and more by going through this lesson.
Critique different variables on their effectiveness for comparison to water vapour imagery for assessment of numerical weather prediction (model) output.
List the best numerical weather prediction (model) variable to compare to water vapour imagery.
Classify water vapour/numerical weather prediction (model) comparisons based on their match/mismatch in certain areas between water vapour imagery, potential vorticity surface, and synthetic water vapour imagery.
State what can be done different forecast situations with the numerical weather prediction (model) fields.
Adjust a numerical weather prediction (model) forecast based on assessment against water vapour imagery.
Satellite Meteorology, Water Vapor Analysis and Interpretation, Water Vapour Analysis and Interpretation, Verifying Numerical Weather Prediction (NWP) with Satellite Imagery, Assessing Model Data with Satellite Data, Synoptic Scale Analysis, Potential Vorticity, Dynamic Tropopause, 1.5PVU Surface, Three-dimensional Interpretation
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