Project-5 Analyzing the Water Cycle in Different Time Scales Using Bayesian Inferences and Data Assimilation Methods
What is the impact of human-driven changes in land cover on the terrestrial water cycle?
What is the impact of human-driven changes in land cover on the terrestrial water cycle?
How can the Bayesian inference be used to intepret and predict the error characteristics of global-scale soil moisture?
How can the deep learning approach help predict peak flow and time to peak?
How can satellite-retreived soil moisture data improve land surface models?
How can GPS satellites help us to monitor water in topsoil layers?