TY - RPRT AU - M. Fielding AU - M. Janiskova AB -

This report details the development of a monitoring system and observations pre-processing system in preparation for the direct assimilation of Earth, Clouds, Aerosols and Radiation Explorer (EarthCARE) cloud radar and lidar within the Four-Dimensional Variational Assimilation (4D-Var) system used at European Centre for Medium Range Weather Forecasts (ECMWF). The work is divided into three sections. Firstly, the observation operators and their gradient are refined and tested for inclusion in the Integrated Forecasting System (IFS) of ECMWF. Secondly, initial screening thresholds, bias correction and observation error specified as part of `scientific pre-processing developments'. Finally, the data monitoring system is defined, using a combination of in-house tools and off-line experiments to select an optimal set of indicators for the detection of instrument drift and errors.

BT - ESA Contract Report C1 - Research DA - 2018 LA - eng M1 - WP-2000 N2 -

This report details the development of a monitoring system and observations pre-processing system in preparation for the direct assimilation of Earth, Clouds, Aerosols and Radiation Explorer (EarthCARE) cloud radar and lidar within the Four-Dimensional Variational Assimilation (4D-Var) system used at European Centre for Medium Range Weather Forecasts (ECMWF). The work is divided into three sections. Firstly, the observation operators and their gradient are refined and tested for inclusion in the Integrated Forecasting System (IFS) of ECMWF. Secondly, initial screening thresholds, bias correction and observation error specified as part of `scientific pre-processing developments'. Finally, the data monitoring system is defined, using a combination of in-house tools and off-line experiments to select an optimal set of indicators for the detection of instrument drift and errors.

PY - 2018 T2 - ESA Contract Report T3 - ESA Contract Report TI - Operational assimilation of space-borne radar and lidar cloud profile observations for numerical weather prediction. Observation quality and pre-processing ER -