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TempestExtremes: A framework for scale-insensitive pointwise feature tracking on unstructured grids

Research output: Contribution to journalArticlepeer-review

Abstract

This paper describes a new open-source software framework for automated pointwise feature tracking that is applicable to a wide array of climate datasets using either structured or unstructured grids. Common climatological pointwise features include tropical cyclones, extratropical cyclones and tropical easterly waves. To enable support for a wide array of detection schemes, a suite of algorithmic kernels have been developed that capture the core functionality of algorithmic tracking routines throughout the literature. A review of efforts related to pointwise feature tracking from the past 3 decades is included. Selected results using both reanalysis datasets and unstructured grid simulations are provided.

Original languageEnglish (US)
Pages (from-to)1069-1090
Number of pages22
JournalGeoscientific Model Development
Volume10
Issue number3
DOIs
StatePublished - Mar 7 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • General Earth and Planetary Sciences

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