A New Process-based Model Engine for the Eco-hydrological Simulation 
Environment (ECHSE)

Pilz, Tobias

doi:10.5880/pik.2019.017

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A New Process-based Model Engine for the Eco-hydrological Simulation Environment (ECHSE)

Pilz, T.(2020): A New Process-based Model Engine for the Eco-hydrological Simulation Environment (ECHSE), Potsdam : GFZ Data Services.
https://doi.org/10.5880/pik.2019.017

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Datensatz-Permalink: https://publications.pik-potsdam.de/pubman/item/item_24385 Versions-Permalink: https://publications.pik-potsdam.de/pubman/item/item_24385_1

Genre: Software

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Urheber:
Pilz, Tobias¹, Autor

Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13

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Zusammenfassung: For the article “How to Tailor my Process-based Model? Dynamic Identifiability Analysis of Flexible Model Structures” (Pilz et al., submitted) a flexible simulation environment is coupled with an algorithm for dynamic identifiability analysis to form a diagnostic tool for process-based model building. This software publication provides the simulation environment ECHSE along with the new WASA engine. The latter was developed and employed for the associated research article. The original ECHSE software was introduced by Kneis (2015) and can be obtained from http://echse.github.io/

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Datum: Erstellt: 2019-01-01Final veröffentlicht: 2020

Publikationsstatus: Final veröffentlicht

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Ort, Verlag, Ausgabe: Potsdam : GFZ Data Services

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Identifikatoren: MDB-ID: yes - 3054
PIKDOMAIN: RD2 - Climate Resilience
DOI: 10.5880/pik.2019.017
Organisational keyword: RD2 - Climate Resilience

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