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

Paul A. Ullrich, Colin M. Zarzycki

Research output: Contribution to journalArticlepeer-review

177 Scopus citations

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

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'TempestExtremes: A framework for scale-insensitive pointwise feature tracking on unstructured grids'. Together they form a unique fingerprint.

Cite this