What is it about?
In previous studies, visibility parameterizations as a function of snowfall rate or hydrometer mass concentration have been used in various operating systems. However, the knowledge of how well those parameterizations perform in predicting low visibilities based on WRF model is still lacking, so the topic is something worthy of exploring.
Featured Image
Why is it important?
Accurate low-visibility forecasts in falling snow are critical to the safety and efficiency of air traffic
Perspectives
Visibility is a complex issue, and at this stage it would be very difficult to capture all of its characteristics in a single visibility parameterization. Also, current NWP models cannot always provide accurate snowfall rate or other relevant meteorological variables used for predicting low visibility in falling snow, due to inherent uncertainties associated with the model physics and the initial conditions. Considering the various errors or uncertainties in visibility predictions, a multiparameterization or a multiphysics ensemble forecasting may be a good solution
Haibo Huang
Read the Original
This page is a summary of: Case studies of low visibility forecasting in falling snow with WRF model, Journal of Geophysical Research Atmospheres, November 2017, Wiley,
DOI: 10.1002/2017jd026459.
You can read the full text:
Contributors
The following have contributed to this page
