Observation errors in all‐sky data assimilation

250 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Satellite cloud and precipitation assimilation at operational NWP centres (2011, methodology): “The all-sky system has been further refined by an enhanced error formulation (Bormann et al., 2010; Cardinali and Prates, 2011; Geer and Bauer, 2010, 2011).”
A Description of the Advanced Research WRF Model Version 4 (2019, background): “, 2016) with the development of the so-called “symmetric error model” for all-sky data (Geer and Bauer, 2011).”
On the representation error in data assimilation (2018, unknown): “Thus uncertainty budgets can include state-dependent errors (e.g. Forsythe and Saunders, 2008; Geer and Bauer, 2011).”
Improved scattering radiative transfer for frozen hydrometeors at microwave frequencies (2014, background): “In practice, the observation errors assigned in all-sky data assimilation are very large, reaching 20–40 K in convective situations (Geer and Bauer, 2011).”
The growing impact of satellite observations sensitive to humidity, cloud and precipitation (2017, background): “Cloud is detected by a 0.05 threshold in the C37 cloud predictor of Geer and Bauer (2011).”