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Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342)

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Bibliographic Details
Title: Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342)
Authors: Crewell, Susanne, Driemel, Anne, Phillips, Jeff M., Chatterjee, Dwaipayan
Contributors: Susanne Crewell and Anne Driemel and Jeff M. Phillips and Dwaipayan Chatterjee
Publisher Information: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2024.
Publication Year: 2024
Subject Terms: Feature tracking, Data reduction, Geometric algorithms, Interpolation methods, Event detection, ddc:004, Sensor placement
Description: This report documents the program and the outcomes of Dagstuhl Seminar 23342 "Computational Geometry of Earth System Analysis". This seminar brought together experts of algorithms and the Earth sciences to foster collaborations that can tackle algorithmic problems in the Earth system by the crossover of expertise in these different areas. The Earth sciences include a manifold of disciplines that deal with atmospheric, oceanic and terrestrial observations to further our understanding of climate processes. New generations of observation systems that are being developed right now provide novel data about the atmospheric and surface conditions at increasing spatial and temporal resolution. This provides unique information to improve weather and climate prediction but cannot always be handled by traditional numerical models. Computational Geometry is rooted in a strong tradition of algorithm and complexity analysis applied to practical geometric problems. Efficient algorithmic methods developed in this field are often tailored to the low-dimensional geometric settings that arise in a multitude of application areas, but have until recently not been applied to problems arising in the Earth system sciences - and in particular not in meteorology.
Document Type: Article
File Description: application/pdf
Language: English
DOI: 10.4230/dagrep.13.8.91
Access URL: https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.8.91
Rights: CC BY
Accession Number: edsair.dedup.wf.002..36f2857cae9eeae57f3736a3a894da57
Database: OpenAIRE
Description
Abstract:This report documents the program and the outcomes of Dagstuhl Seminar 23342 "Computational Geometry of Earth System Analysis". This seminar brought together experts of algorithms and the Earth sciences to foster collaborations that can tackle algorithmic problems in the Earth system by the crossover of expertise in these different areas. The Earth sciences include a manifold of disciplines that deal with atmospheric, oceanic and terrestrial observations to further our understanding of climate processes. New generations of observation systems that are being developed right now provide novel data about the atmospheric and surface conditions at increasing spatial and temporal resolution. This provides unique information to improve weather and climate prediction but cannot always be handled by traditional numerical models. Computational Geometry is rooted in a strong tradition of algorithm and complexity analysis applied to practical geometric problems. Efficient algorithmic methods developed in this field are often tailored to the low-dimensional geometric settings that arise in a multitude of application areas, but have until recently not been applied to problems arising in the Earth system sciences - and in particular not in meteorology.
DOI:10.4230/dagrep.13.8.91