In recent years, real time data has become more readily available from automated earth based sensors (e.g. soil moisture probes, hydrometric and weather stations etc. ) and air based platforms (e.g. drones, radar, satellites etc). Environmental prediction models can be built to take advantage of such information by including data assimilation technology with Bayesian based […]