All Stories

  1. Technical note: Assessment of observation quality for data assimilation in flood models
  2. The conditioning of least-squares problems in variational data assimilation
  3. Technical note: Analysis of observation uncertainty for flood assimilation and forecasting
  4. On the interaction of observation and prior error correlations in data assimilation
  5. On the representation error in data assimilation
  6. On diagnosing observation-error statistics with local ensemble data assimilation
  7. Diagnosing atmospheric motion vector observation errors for an operational high-resolution data assimilation system
  8. Diagnosing Observation Error Correlations for Doppler Radar Radial Winds in the Met Office UKV Model Using Observation-Minus-Background and Observation-Minus-Analysis Statistics
  9. Diagnosing Horizontal and Inter-Channel Observation Error Correlations for SEVIRI Observations Using Observation-Minus-Background and Observation-Minus-Analysis Statistics
  10. Theoretical insight into diagnosing observation error correlations using observation-minus-background and observation-minus-analysis statistics
  11. Estimating correlated observation error statistics using an ensemble transform Kalman filter
  12. Representativity error for temperature and humidity using the Met Office high‐resolution model†
  13. State estimation using the particle filter with mode tracking