What is it about?
Weather observations by aircraft and downlinked and used to improve wind fields of weather models. For this purpose, weather services use standard techniques of mesoscale wind data assimilation. The subsequently improved wind fields are used to better predict the exact landing times of aircrafts at Schiphol airport.
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Why is it important?
Landing time prediction is relevant for scheduling aircraft landings at an airport and for aircraft to make so-called "green landings", i.e., landing on time without excessive fuel consumption. Moreover, improved short-term weather forecasts serve many other purposes in traffic, shipping, economy and society.
Perspectives
Weather observations from wind parks could be exploited in similar ways. This is, they may be provided to national weather services, who could use them to provide improved basic wind forecasts for the benefit of the optimal economical use of wind parks. Also in this case the benefits are much wider than only for the wind park economical sector, i.e., also serving many other purposes in traffic, shipping, economy and society.
Ad Stoffelen
Royal Netherlands Meteorological Institute
Read the Original
This page is a summary of: Assimilation of High-Resolution Mode-S Wind and Temperature Observations in a Regional NWP Model for Nowcasting Applications, Weather and Forecasting, August 2012, American Meteorological Society,
DOI: 10.1175/waf-d-11-00088.1.
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