E-WP8 - PROVESIMAC

Project aims

The work-package’s aim is to enhance the capabilities of the verification tool (CES plug-in) which has been developed during the first phase of MiKlip. This comprises the introduction of new methods both on the satellite side and the dynamically oriented verification using classical variables. Satellite simulators will be developed to obtain virtual satellite observations (e.g. brightness temperatures, radar reflectivities) from the forecast system. The approach enables an evaluation in the instrument’s parameter space which reduces uncertainties on the side of the observational data. The work package also focuses on the development of probabilistic verification methods applicable to decadal predictions and  the analysis of dynamical processes in the coupled atmosphere-ocean system relevant for decadal predictions. An overall project aim is the preparation towards an operational verification of the MiKlip system.

Project structure

The work-package constitutes a joint project of DWD and MIUB. DWD focuses on the provision and utilization of satellite data. MIUB contributes by analysis of dynamical processes and the development and application of probabilistic evaluation methods. Satellite simulators and CDRs will be provided within the first phase of the project. Results of dynamical analysis will be provided to support the further development of the probabilistic evaluation methods. The preparation towards an operational verification covers the complete lifetime of the work-package.

Tasks of the project

The project tasks are (i) the provision of high quality satellite based data (mature CDRs), (ii) the development of a satellite simulator for microwave imagers, (iii) the analysis of circulation dependencies, (iv) event based conditional sampling,  (v) the introduction of ensemble Kernel dressing (EKD), (vi) hindcast verification and (vii) initial operationalization of the verification plug-in for the CES.

Deliverables

Satellite simulators for passive microwave imagers (SSM/I and SSMIS) will be delivered applicable to MPI-ESM and suited for hindcast evaluation. Moreover, the work-package will provide high quality observational data obtained from satellite measurements. These data constitute mature climate data records (CDRs) and will be provided in NetCDF (CMOR conform) for the CES. The verification plug-in for the CES will be upgraded by the introduction of Kernel dressing methods. Moreover, event based/conditional sampling methods for analysis of tropical and extratropical circulation patterns utilizing satellite data will be incorporated.  The satellite simulator and the verification-plugin will be used for hindcast evaluation. Moreover, an initial operational version of the verification plug-in for the CES will be provided.

Progress so far

Satellite simulators for TRMM PR and IASI have been developed as an integrated part of the CFMIP Observation Simulation Package (COSP). The simulators have been adapted to MPI-ESM and were applied for hindcast evaluation within MiKlip phase I. The software is currently upgraded to incorporate satellite simulators for SSM/I and SSMIS. A tool package has been developed within MiKlip phase I comprising a selection of statistical methods suitable for probabilistic evaluation of decadal hindcasts (VeCAP-tool). The tool package has been applied within MiKlip for hindcast evaluation. It is compatible with the MiKlip central evaluation system (CES-plugin) and is currently upgraded to include more sophisticated methods applicable to ensemble evaluation (e.g. Kernel dressing methods).

Contact

German Meteorological Service (DWD)
Dr. Thomas Spangehl
thomas.spangehl(at)nospamdwd.de
+49 (0)69 8062 2504

Dr. Marc Schröder (PI)
marc.schroeder(at)nospamdwd.de
+49 (0)69 8062 4939

Meteorological Institute, University of Bonn (MIUB)
Dr. Rita Glowienka-Hense
rita.glowienka(at)nospamuni-bonn.de
+49 (0)228 73 5187

Prof. Dr. Andreas Hense
ahense(at)nospamuni-bonn.de
+49 (0)228 73 5184

Evaluation of the MiKlip decadal prediction system using satellite based cloud products

2015 - Met. Z., DOI:10.1127/metz/2015/0602

Spangehl, T. | M. Schröder, S. Stolzenberger, R. Glowienka-Hense, A. Mazurkiewicz, and A. Hense

Revealing skill of the MiKlip decadal prediction system by three-dimensional probabilistic evaluation

2015 - Met. Z., DOI:10.1127/metz/2015/0606

Stolzenberger, S. | R. Glowienka-Hense, T. Spangehl, M. Schröder, A. Mazurkiewicz, and A. Hense