The application of ensemble Kalman filter in adaptive observation and information content estimation studies

Question to address in adaptive observation study

LETKF-based ensemble spread adaptive observation strategy

Rawinsonde observation locations and simulated satellite winds scanning range

Sampling strategies

500hPa zonal wind RMS error

Slide 7

Analysis sensitivity study within LETKF

Control experiment:  rawinsonde only

Exp_uv                                                                                      (winds are observed in both rawinsonde and dense network, 30%)

Slide 11

Possible applications to Carbon problem