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

P. Ullrich,C. Zarzycki,E. McClenny,M. Pinheiro,A. Stansfield,K. Reed

Published 2021 in Unknown venue

ABSTRACT

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.

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