The Digital Earth Flood Event Explorer: A showcase for data analysis and exploration with scientific workflows

DOI

The Digital Earth Flood Event Explorer supports geoscientists and experts to analyse flood events along the process cascade event generation, evolution and impact across atmospheric, terrestrial, and marine disciplines. It applies the concept of scientific workflows and the component-based Data Analytics Software Framework (DASF, Eggert and Dransch, 2021) to an exemplary showcase. It aims at answering the following geoscientific questions:

  • How does precipitation change over the course of the 21st century under different climate scenarios over a certain region?
  • What are the main hydro-meteorological controls of a specific flood event?
  • What are useful indicators to assess socio-economic flood impacts?
  • How do flood events impact the marine environment?
  • What are the best monitoring sites for upcoming flood events?

The Flood Event Explorer developed scientific workflows for each geoscientific question providing enhanced analysis methods from statistics, machine learning, and visual data exploration that are implemented in different languages and software environments, and that access data form a variety of distributed databases. The collaborating scientists are from different Helmholtz research centers and belong to different scientific fields such as hydrology, climate-, marine-, and environmental science, and computer- and data science. It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/).

Copyright 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany / DE Flood Event Explorer

Licensed under the Apache License, Version 2.0 (the "License"); you may not use these files except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Identifier
DOI https://doi.org/10.5880/GFZ.1.4.2022.001
Related Identifier https://doi.org/10.5880/GFZ.1.4.2021.004
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.002
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.003
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.004
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.005
Related Identifier https://doi.org/10.5880/GFZ.1.4.2022.006
Related Identifier https://www.digitalearth-hgf.de/
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7299
Provenance
Creator Eggert, Daniel ORCID logo; Rabe, Daniela ORCID logo; Dransch, Doris; Lüdtke, Stefan ORCID logo; Nam, Christine ORCID logo; Nixdorf, Erik ORCID logo; Wichert, Viktoria ORCID logo; Abraham, Nicola; Schröter, Kai ORCID logo; Merz, Bruno ORCID logo
Publisher GFZ Data Services
Contributor Morstein, Peter; Silva de Almeida, Igo; Sasin, Adam; Eggert, Daniel
Publication Year 2022
Funding Reference Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
Rights Apache License, Version 2.0; Copyright (C) 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences; http://www.apache.org/licenses/LICENSE-2.0
OpenAccess true
Contact Eggert, Daniel (GFZ German Research Centre for Geosciences)
Representation
Resource Type Software
Discipline Geosciences