11:55 AM - 12:10 PM
[MGI22-10] Using the Ensemble Forecast Sensitivity to Observations (EFSO) technique for an adaptive sampling problem in a global observing system
Keywords:atmospheric reanalysis, FSO (Forecast sensitivity to observation), ensemble Kalman filter, atmospheric general circulation model, adaptive sampling, observing system experiment
Recently, a diagnostic technique called Ensemble Forecast Sensitivity to Observations (EFSO) which can quantify how much each observation has improved or degraded the forecast without a data denial OSE experiment (in offline) has been implemented into ALEDAS. In our presentation, estimations by EFSO that spatially and temporally vary in a global observing system are compared with actual data denial experiments and whether the estimation can be helpful for our future global OSE studies is discussed. In particular, how EFSO estimations can be useful is discussed for global adaptive sampling problems in which we try to design adaptive observations in the routine global observing system to improve global weather forecasts.