A fully probabilistic data assimilation approach for range-limited observations

Speaker: 
Abhishek Shah
Seminar Date: 
7. September 2017 - 12:30 - 13:00
Location: 
Lecture room, Ground Floor, NERSC

Many of the measurements available in the atmospheric or oceanographic systems are only available within a limited interval of actual variation of the quantity due to the limitation of gauge or data retrieval techniques i.e, observations with detection limit. For e.g., SMOS retrieved sea-ice thickness. These observations with detection limits contains hard data (quantitative) and soft data (qualitative). The current work focuses on the development and application of the data assimilation scheme for the observations with detection limit. We propose and test a stochastic EnKF assimilating this semi-qualitative data.