School: Science

Program Code: 1082

Description of Work: 

A state-of-the-art prediction system makes several assumptions about the errors of  the observing system, the ocean models, the atmospheric forcing and data assimilation methodology. Correctly modelling and estimating these errors and validating or improving these assumptions is critical to further improving performance. This project will focus on the available database of forecast innovations and increments from the BLUElink ocean prediction system and determine the systematic bias as well as the statistical distribution. Specific methods will then be developed to deconstruct and attribute error to different components of the system as well as hypothesis testing.


Dr Xiao Hua Wang


School of Science

Research Area

Coastal Impact