Aviation Weather Research
We study high-resolution ASOS data across 20 major U.S. airports — fusing multi-channel METAR acquisition, citizen weather networks, and NWS forecast models to improve aviation temperature analysis.
Multi-channel METAR acquisition across AWC, TGFTP, D-ATIS, and LDM — characterizing delivery delay from sensor to end user.
Bayesian calibration recovering exact °F from ASOS °C using 2,900 citizen weather stations. 83% disambiguation accuracy on ambiguous readings.
Systematic LAMP vs NBM accuracy analysis at 20 airports, building a growing archive of forecast-observation pairs for skill assessment.
Probabilistic HMM + Brownian bridge model producing calibrated temperature distributions, updated every minute from all available observations.
Continuous monitoring across four time zones