6.11a
AMDAR optimization studies at the Earth System Research Laboratory / Global Systems Division (Formerly paper P2.1 from 12 ARAM)
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Presentation PDF (373.6 kB)
The Earth System Research Laboratory / Global Systems Division (formerly the Forecast Systems Laboratory) has, under FAA sponsorship, embarked on a study to determine the optimal amount of data needed. We are approaching this problem in two ways. First, we are studying how human forecasters are currently using aircraft directly in their bench forecasting. Second, we are looking at the behavior of the RUC model as we vary the amount of AMDAR data input. We will look at the sensitivity of RUC forecast skill, verified against RAOBs, to AMDAR data. Also, using a method derived from the work of Grace Wahba, we will also look at analysis sensitivity to varying amounts of AMDAR data using cross-validation.
Ultimately, we hope to develop a RUC-based "aircraft data need field" that will predict the amount of AMDAR data needed to correctly forecast expected weather conditions.
We will report on the initial results of our studies.