Assimilation and Modeling of the Atmospheric Hydrological Cycle in the ECMWF Forecasting System

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Improved variational analyses using a nonlinear humidity control variable (2013, background): “However, Andersson et al. (2005, 2007) demonstrated that with recent improvements in observations, modelling and assimilation (including the humidity transform of Hólm et al. (2002)) humidity observations can have a significant impact.”
An ERA40-based atmospheric forcing for global ocean circulation models (2010, background): “Andersson et al. (2005) report that a moist bias was introduced over tropical oceans due to the assimilation of satellite data.”
The growing impact of satellite observations sensitive to humidity, cloud and precipitation (2017, background): “The move to 4D-Var encouraged ECMWF to further develop its humidity assimilation and to work towards including cloud and precipitation assimilation (Hólm et al., 2002; Andersson et al., 2005).”