Module E is evaluating hindcasts from the MiKlip decadal prediction system focusing the main pillars: i) generation of observational data sets and their use for an improved validation of hindcasts, ii) hindcast verification, i.e. the development and implementation of procedures for a quantitative estimation of forecast quality, and iii) process-oriented validation to enhance the understanding and thus the credibility of the prediction system and its products.
Working towards an operational system in MiKlip II, an additional focus comes up: the transfer of predictions from the MiKlip system into probabilistic forecast products for users. This implies a) bias correction of predictions taking a model drift and a climate trend into account, b) calibration of probabilistic forecasts to increase reliability, and c) the construction of forecasts for user-relevant quantities and events, such as heat-waves, droughts, storm surges or other kinds of large-scale climate anomalies.
These pillars define five Module E objectives paving the way towards a useroriented operational system:
1. Bias and Drift correction, Calibration
2. User-oriented post-processing
3. Process-oriented validation
4. Generation of data sets
5. Hindcast verification
Pasternack, A. | J. Bhend, M. A. Liniger, H. W. Rust, W. A. Müller, and U. Ulbrich, U
Dietzsch, F. | A. Andersson, M. Ziese, M. Schröder, K. Raykova, K. Schamm, A. Becker
Pattantyús-Ábrahám, M. | C. Kadow, S. Illing, W. Müller, H. Pohlmann, W. Steinbrecht
Babian, S. | H.W. Rust, J. Grieger, K. Prömmel and U. Cubasch
Bittner, M. | H. Schmidt, C. Timmreck, and F. Sienz
Westermayer A.T. | P. Groenemeijer, G. Pistotnik, R. Sausen and E. Faust
Pistotnik, G | P. Groenemeijer, and R. Sausen
Andersson, A. | M. Ziese, F. Dietzsch, M. Schröder, A. Becker, and K. Schamm