The benefits of correlated observation errors for small scales

48 citations recorded by the source corpus.

Citations in the corpus

On the representation error in data assimilation (2018, unknown): “Using spatial correlations, Seaman (1977) noted an increase in the accuracy of gradients of observed ﬁelds represented in the analysis and Rainwater et al. (2015) an improvement in the smallest scales resolved by an NWP model.”
On the interaction of observation and prior error correlations in data assimilation (2018, unknown): “Therefore, as χ r becomes more positive, the analysis at smaller scales becomes more sensitive to the observations (consistent with the results of Rainwater et al. (2015) and Seaman (1977)), whereas when χ b becomes more positive the analysis at larger scales becomes more sensitive to the…”