This workpackage generates a global precipitation climate product which will have a high temporal
stability and resolution allowing the analysis of extremes. It thus provides a highly relevant
product for the evaluation of the MiKlip forecasting system. Furthermore, probabilistic
forecasted precipitation fields will be evaluated in cooperation with other MiKlip projects. The
results from this evaluation have the potential to improve the forecasts through improved bias
corrections and are valuable for a further improvement of the forecasting model.
A global daily precipitation analysis has been delivered from the MiKlip–DAPACLIP project,
which covers the time period from 1998 to 2008. It is based on two major components consisting
of station based data over land areas from the Global Precipitation Climatology Centre
and precipitation data retrieved from satellite–based microwave imagers from the SSM/I,
AMSR–E and TMI platforms. A new so called 1D–Var retrieval scheme has been developed
for the derivation of precipitation rates from microwave imagers.
The major aim of DAPAGLOCO is to improve the DAPACLIP product in terms of data densityand temporal coverage and to prepare for the operationalization and regular update of a comprehensive high quality global daily precipitation dataset. With this, DAPAGLOCO will provide to the MiKlip operational system an initial operational capability to be developed further on into a full operational system. Uncertainty information will be provided with the product. The product is supposed to be a benchmark for the evaluation of MiKlip forecasts and simulations. The Expert Team on Climate Change and Detection provides indices that will be used in the evaluation framework.
The project is structured into six workpackages. The most comprehensive part is the further
improvement of the data base and the retrieval scheme in order to extend the temporal range
and enhance the sampling of the precipitation product . The merging process of land and ocean
data will be further investigated for an optimal combination of both components. The merged
product will be validated against other regional products and/or reanalysis data. Finally, the
whole processing chain is going to be initially operationalized and an evaluation plugin tool
will be developed for the central MiKlip evaluation system.
Dietzsch, F. | A. Andersson, M. Ziese, M. Schröder, K. Raykova, K. Schamm, A. Becker
Andersson, A. | M. Ziese, F. Dietzsch, M. Schröder, A. Becker, and K. Schamm
Schamm, K. | M. Ziese, A. Becker, P. Finger, A. Meyer-Christoffer, U. Schneider, M. Schröder, and P. Stender
Schamm, K. | M. Ziese, A. Becker, P. Finger, A. Meyer-Christoffer, B. Rudolf, and U. Schneider