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floodsimilarity - a python module to compute the similarity between multiple flood events

Cite as:

Lüdtke, Stefan; Eggert, Daniel; Wendi, Dadiyorto; Schröter, Kai (2022): floodsimilarity - a python module to compute the similarity between multiple flood events. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2022.001

Status

I   N       R   E   V   I   E   W : Lüdtke, Stefan; Eggert, Daniel; Wendi, Dadiyorto; Schröter, Kai (2022): floodsimilarity - a python module to compute the similarity between multiple flood events. GFZ Data Services. https://doi.org/10.5880/GFZ.4.4.2022.001

Abstract

floodsimilarity provides classes and methods to conduct a similarity analysis between multiple flood events. The library mainly consists of two parts:
(1) algorithms to compute indices and other statistics based on pandas and xarray
(2) well-defined data structures for data exchange (e.g. through the Similarity Backend Module)

floodsimilarity is used by the Digital Earth Similarity Backend Module (Eggert, 2021) as part of the Digital Earth Flood Event Explorer. It is developed at the GFZ German Research Centre for Geosciences and funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project.

Technical Information

Copyright © 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences,
Potsdam, Germany

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.

Authors

Contact

Keywords

Digital Earth, Flood, Flood Event Explorer

GCMD Science Keywords

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Files

License: Apache License, Version 2.0; Copyright (C) 2022 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences

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