Preprints
https://doi.org/10.5194/gmd-2020-303
https://doi.org/10.5194/gmd-2020-303

Submitted as: methods for assessment of models 20 Jan 2021

Submitted as: methods for assessment of models | 20 Jan 2021

Review status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

TempestExtremes v2.1: A Community Framework for Feature Detection, Tracking and Analysis in Large Datasets

Paul A. Ullrich1, Colin M. Zarzycki2, Elizabeth E. McClenny1, Marielle C. Pinheiro1, Alyssa M. Stansfield3, and Kevin A. Reed3 Paul A. Ullrich et al.
  • 1Department of Land, Air and Water Resources, University of California, Davis, Davis, California
  • 2Pennsylvania State University
  • 3School of Marine and Atmospheric Sciences, State University of New York at Stony Brook, Stony Brook, New York

Abstract. TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and scientific analysis of regional or global Earth-system datasets on either structured and unstructured (native) grids. Version 2.1 of the TE framework now provides extensive support for examining both nodal and areal features, including tropical and extratropical cyclones, monsoonal lows and depressions, atmospheric rivers, atmospheric blocking, precipitation clusters, and heat waves. Available operations include nodal and areal thresholding, calculations of quantities related to nodal features such as accumulated cyclone energy and azimuthal wind profiles, filtering data based on the characteristics of nodal features, and stereographic compositing. This paper describes the core algorithms (kernels) that have been added to the TE framework since version 1.0, and gives several examples of how these kernels can be combined to produce composite algorithms for evaluating and understanding common atmospheric features and their underlying processes.

Paul A. Ullrich et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2020-303', Hristo Chipilski, 07 Feb 2021
    • AC1: 'Reply on RC1', Paul Ullrich, 22 Jun 2021
  • RC2: 'Comment on gmd-2020-303', Anonymous Referee #2, 26 May 2021
    • AC2: 'Reply on RC2', Paul Ullrich, 22 Jun 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2020-303', Hristo Chipilski, 07 Feb 2021
    • AC1: 'Reply on RC1', Paul Ullrich, 22 Jun 2021
  • RC2: 'Comment on gmd-2020-303', Anonymous Referee #2, 26 May 2021
    • AC2: 'Reply on RC2', Paul Ullrich, 22 Jun 2021

Paul A. Ullrich et al.

Model code and software

TempestExtremes v2.1 Archived Code Paul Ullrich, Colin Zarzycki, Elizabeth McClenny, Marielle Pinheiro, Alyssa Stansfield, and Kevin Reed https://doi.org/10.5281/zenodo.4385656

Paul A. Ullrich et al.

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Short summary
TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and scientific analysis of regional or global Earth-system datasets. Version 2.1 of TE now provides extensive support for nodal and areal features. This paper describes the algorithms that have been added to the TE framework since version 1.0, and gives several examples of how these can be combined to produce composite algorithms for evaluating and understanding atmospheric features.