E-WP2 - DAPAGLOCO: Daily Precipitation Analysis for the validation of Global medium–range Climate predictions Operationalized

Project aims

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.

Project Structure and tasks

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:

  1. Station based data over land areas from the Global Precipitation Climatology Centre and
  2. Precipitation data over ocean retrieved from satellite-based microwave imagers based on the HOAPS dataset. A new so called 1D–Var retrieval scheme has been developed for the derivation of precipitation from microwave imagers. Furthermore the dataset includes uncertainty estimates for precipitation.

DAPAGLOCO is structured into six tasks:

  • Further improvement of the data base and of the retrieval scheme
  • Further investigation of the merging process of land and ocean data for an optimal combination of both components
  • The merged product will be validated against other regional products and/or reanalysis data
  • Initial operationalization of the processing chain
  • Plugin tool for the MiKlip evaluation system using the DAPAGLOCO data set
  • User support
DAPAGLOCO teaser picture

Deliverables

A global precipitation climate product with a high temporal stability and resolution for the evaluation of the MiKlip forecasting system.

Progress so far

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.

Contact

Deutscher Wetterdienst
Felix Dietzsch
felix.dietzsch(at)nospamdwd.de
+49 69 8062 2087

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

A Global ETCCDI-Based Precipitation Climatology from Satellite and Rain Gauge Measurements

2017 - Climate, 5, 9

Dietzsch, F. | A. Andersson, M. Ziese, M. Schröder, K. Raykova, K. Schamm, A. Becker

HOAPS/GPCC global daily precipitation data record with uncertainty estimates using satellite and gauge based observations (at 1.0° and 2.5°, at 0.5° only Europe)

2016 - Version 1, Global Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de ) at Deutscher Wetterdienst (DWD)

Andersson, A. | M. Ziese, F. Dietzsch, M. Schröder, A. Becker, and K. Schamm

Global gridded precipitation over land: a description of the new GPCC First Guess Daily product

2014 - Earth Syst. Sci. Data, Vol. 6, pp. 49-60

Schamm, K. | M. Ziese, A. Becker, P. Finger, A. Meyer-Christoffer, U. Schneider, M. Schröder, and P. Stender

GPCC First Guess Daily Product at 1.0°: Near Real-Time First Guess Daily Land-Surface Precipitation from Rain-Gauges based on SYNOP Data, Globally Gridded Daily Totals

2013 - Global Precipitation Climatology Centre (GPCC, http://gpcc.dwd.de/) at Deutscher Wetterdienst

Schamm, K. | M. Ziese, A. Becker, P. Finger, A. Meyer-Christoffer, B. Rudolf, and U. Schneider