Luca Cantarello (Leeds): A modified shallow water model for inexpensive data assimilation research
Channel: UKFN SIG Flow instability, modelling and control
Date: 2020-06-19

This is one of the talks of the 1st online meeting of the UKFN SIG on Flow Instability Modelling and Control (27/05/2020). Full details of the event are available at https://fluids.ac.uk/sig/FlowInstability

SPEAKER: Luca Cantarello (University of Leeds)

TITLE: A modified shallow water model for inexpensive data assimilation research

ABSTRACT: A modified shallow water model able to mimic convection and precipitation has been developed at the University of Leeds to conduct idealised forecast-assimilation experiments, facilitating inexpensive data assimilation research in an operational context. Exploiting a twin-setting configuration, pseudo- observations are derived from a high-resolution ‘nature run’ simulation and subsequently combined with lower-resolution model runs by means of an Ensemble Kalman Filter. Idealised satellite data assimilation constitutes the current focus of our research, which has required both a partial model revision and the development of a more complex pseudo-observing system, including a non-linear observation operator.