Further investigation on adjoint sensitivity of surface precipitation to initial conditions

@article{Mahfouf2007FurtherIO,
  title={Further investigation on adjoint sensitivity of surface precipitation to initial conditions},
  author={Jean-François Mahfouf and Bernard Bilodeau},
  journal={Meteorologische Zeitschrift},
  year={2007},
  volume={16},
  pages={595-605}
}
The adjoint version of the Canadian global numerical weather prediction model including moist physical parameterizations is used to investigate the sensitivity of surface precipitation to initial conditions. This study complements results shown in a previous paper by MAHFOUF and BILODEAU (2007). The importance of the dynamics is examined by considering the sensitivity in terms of streamfunction and velocity potential. The contribution of the divergence field to the sensitivity produced by the… 

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References

SHOWING 1-10 OF 80 REFERENCES

Use of adjoint sensitivity analysis to diagnose the CMC global analysis performance: A case study

Abstract The sensitivity of forecast errors to initial conditions obtained from the adjoint of a numerical weather prediction model provides new insights into the analysis errors responsible for poor

Coupling of Moist-Convective and Stratiform Precipitation Processes for Variational Data Assimilation

Abstract Some problems posed by the coupling of moist-convective and stratiform precipitation processes for variational assimilation of precipitation-rate data are examined in a 1D-Var framework.

Examination of the sensitivity of forecast precipitation rates to possible perturbations of initial conditions

An adjoint model that includes precipitation physics is applied to four synoptic cases in order tocompare the sensitivities of both convective and non-convective precipitation rates with respect to

The Inclusion of 3D Prognostic Cloud and Precipitation Variables in Adjoint Calculations

Abstract The potential of the inclusion of two prognostic variables for cloud condensate and precipitation content in adjoint calculations has been investigated in the framework of Meteo-France's

A study of the dynamics of four-dimensional data assimilation

The problem of four-dimensional data assimilation is investigated on the inviscid linearized shallow-water equations. The conditions under which an assimilation of mass data, performed according to a

Jacobians of an operational prognostic cloud scheme

Abstract A detailed examination of the Jacobian matrix of sensitivities of the prognostic cloud scheme operational at the European Centre for Medium-Range Weather Forecasts (ECMWF) is presented.

Sensitivity Analysis Using an Adjoint of the PSU-NCAR Mesoseale Model

Abstract An adjoint of the Pennsylvania State University-National Center for Atmospheric Research (PSU-NCAR) Mesoscale Model has been developed for use in sensitivity analysis following Cacuci.

Tangent Linear Aspects of the Kain–Fritsch Moist Convective Parameterization Scheme

Abstract Advanced operational four-dimensional variational data assimilation (4DVAR) schemes include a linearized version of moist convective parameterization and its adjoint. At the Meteorological

Influence of physical processes on the tangent‐linear approximation

A comprehensive set of linear physical parametrizations is developed for the tangent-linear andadjoint versions of ECMWF global forecast model. The following processes are described :vertical

Impact of the GEM model simplified physics on extratropical singular vectors

A simplified physics package, containing parametrizations of vertical diffusion, subgrid‐scale orographic drag, stratiform precipitation and convective precipitation, was built for the
...