Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342)

Authors Susanne Crewell, Anne Driemel, Jeff M. Phillips, Dwaipayan Chatterjee and all authors of the abstracts in this report

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Author Details

Susanne Crewell
  • Universität Köln, DE
Anne Driemel
  • Universität Bonn, DE
Jeff M. Phillips
  • University of Utah - Salt Lake City, US
Dwaipayan Chatterjee
  • Universität Köln, DE
and all authors of the abstracts in this report

Cite AsGet BibTex

Susanne Crewell, Anne Driemel, Jeff M. Phillips, and Dwaipayan Chatterjee. Computational Geometry of Earth System Analysis (Dagstuhl Seminar 23342). In Dagstuhl Reports, Volume 13, Issue 8, pp. 91-105, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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.

Subject Classification

ACM Subject Classification
  • Theory of computation → Computational geometry
  • Theory of computation → Data structures and algorithms for data management
  • Data reduction
  • Event detection
  • Feature tracking
  • Geometric algorithms
  • Interpolation methods
  • Sensor placement


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