Abstract
This study discusses an improved technique for the assimilation of carbon monoxide retrievals from the Measurements of Pollution in the Troposphere (MOPITT) instrument in a chemistry-transport model using a suboptimal Kalman filter. An online bias estimator algorithm is employed to identify systematic biases in the model and account for them during the assimilation. Results suggest a large decline (both locally and globally) in the observation minus forecast diagnostics and provide insights about possible model deficiencies by enabling explicit examination of model biases.
| Original language | English |
|---|---|
| Pages (from-to) | D16304 1-12 |
| Journal | Journal of Geophysical Research |
| Volume | 109 |
| Issue number | 16 |
| DOIs | |
| State | Published - Aug 27 2004 |
Keywords
- Bias
- Data assimilation
- MOPITT