The major aim of DAPAGLOCO is to improve the DAPACLIP product in terms of data density and temporal coverage and to prepare for the operationalization and regular update of a comprehensive high quality global daily precipitation dataset allowing the analysis of extremes.
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 by the MiKlip-DAPACLIP project, which covers the time period from 1998 to 2008. It is based on two major components consisting of:
DAPAGLOCO is structured into six tasks:
A global precipitation climate product with a high temporal stability and resolution for the evaluation of the MiKlip forecasting system.
A version of the precipitation dataset is published and DOI-referenced. Furthermore a publication about the DAPAGLOCO dataset and a precipitation climatology based on ETCCDI-indices has been published in MDPI Climate. The data base for the generation of the HOAPS dataset has been improved and the development of a bias correction for the 1D-Var algorithm is in progress.
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