This survey paper explores the different applications of workflows in computational environmental science. Workflows are crucial in streamlining complex computational processes, enabling researchers to manage and analyze large-scale environmental data effectively. The paper reviews existing literature, methodologies, and tools associated with workflow applications in environmental science, highlighting their impact on research efficiency, reproducibility, and collaboration. By examining case studies and emerging trends, this survey aims to provide insights into the current landscape of workflow applications within the computational environmental science domain.

Workflows' applications in computational environmental science: A survey

Mellone G.
Writing – Original Draft Preparation
;
De Vita C. G.
Writing – Review & Editing
;
Caramiello D.
Data Curation
;
Ciaramella A.
Supervision
2024-01-01

Abstract

This survey paper explores the different applications of workflows in computational environmental science. Workflows are crucial in streamlining complex computational processes, enabling researchers to manage and analyze large-scale environmental data effectively. The paper reviews existing literature, methodologies, and tools associated with workflow applications in environmental science, highlighting their impact on research efficiency, reproducibility, and collaboration. By examining case studies and emerging trends, this survey aims to provide insights into the current landscape of workflow applications within the computational environmental science domain.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/134397
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