1Department of Land, Air and Water Resources, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
2National Center for Atmospheric Research, Boulder, CO, USA
Received: 17 Aug 2016 – Discussion started: 26 Sep 2016
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.
Revised: 04 Jan 2017 – Accepted: 08 Jan 2017 – Published: 07 Mar 2017
Ullrich, P. A. and Zarzycki, C. M.: TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids, Geosci. Model Dev., 10, 1069-1090, doi:10.5194/gmd-10-1069-2017, 2017.