2017 Volume 42 Issue 249 Pages 23-31
In this study, the sensitivity analysis of observation error on the estimation accuracy of data assimilation was conducted. The analysis focused on the estimation of unknown contaminant source distribution in an indoor environment, and was conducted through a numerical experiment. In the experiment, some data assimilations were applied with pseudo observation data with several sizes of observation errors, which follow the normal distribution. The assimilation results were compared to evaluate the impact of observation errors on the estimation accuracy. The results of numerical experiments indicated that observation errors cause a decrease in the accuracy of estimation, and an increases in the deviation of the accuracy. The impact of observation errors increased with decreasing spatial and temporal resolution of the observation data.
