|Title||Data monitoring experiments for radar and lidar. Support-to-Science-Element (STSE) Study EarthCARE Assimilation|
|Series/Collection||WP-3100 Report: ESA ESTEC Contract AO/I-6441/10/NL/CB|
|Authors||Di Michele, S, Janiskova, M|
|Event Series/Collection||ESA Contract Report|
|Place of publication||Shinfield Park, Reading|
The feasibility of detecting possible problems with CloudSat and CALIPSO data has been investigated by monitoring statistics over a three-month period. Radar and lidar instrument anomalies increasing in time have been simulated in the measurements. A basic alert system based on threshold levels has been devised to test if these anomalies could be then identified thorough monitoring. Time series of CloudSat reflectivity and CALIPSO cloud backscatter have been generated using the original and degraded observations. The temporal evolution of their corresponding first-guess departures has been also evaluated to investigate if the problems would be identified earlier in the time series. Results show that the drift in CloudSat and CALIOP observations can be revealed by their time-monitoring. However, performing the monitoring of the first-guess departures resulted in an earlier detection only for Cloud-Sat, while the current discrepancies between CALIOP observation and simulated cloud backscatter are preventing a similar gain.