@manual{74998,
  author = {Marta Janiskova and S. Di Michele and Angela Benedetti and S.J. English},
  title = {Conclusions and recommendations. Support-to-Science-Element (STSE) Study EarthCARE Assimilation},
  abstract = {Based on the performed studies using CloudSat and CALIPSO observations, data monitoring experiments for cloud radar have suggested that the skill of monitoring system to detect a degradation in the quality of observations is improved when the first guess departures are used compared to using CloudSat observations alone. For lidar, the study has indicated that the monitoring of differences between observations and the equivalent model quantities does not lead to earlier detection. Outcomes from assimilation experiments using cloud radar reflectivity and lidar backscatter, either separately or in combination, have shown that 1D-Var analyses get closer to assimilated and also independent observations. However, impact of the cloud radar reflectivity is larger than that of the lidar backscatter. The performed 1D+4D-Var assimilation experiments have indicated a positive impact of the new observations on the subsequent forecast. Suggested perspectives for the future assimilation are provided together with a brief summary of extensive work required to complete a preparation for possible operational assimilation and monitoring of the EarthCARE radar and lidar cloud observations. Some recommendations for the future technical and scientific developments for lidar aerosol assimilation and data quality monitoring are also supplied. Finally, a short analysis of possible benefits and the required work to assimilate EarthCARE Multi-Spectral Imager is provided.},
  year = {2014},
  journal = {WP-4000 Report: ESA ESTEC Contract AO/I-6441/10/NL/CB},
  number = {2014:WP-4000},
  month = {02/2014},
  publisher = {ECMWF},
  address = {Shinfield Park, Reading},
  language = {eng},
}