PySPOD swMATH ID: 38133 Software Authors: Gianmarco Mengaldo; Romit Maulik Description: PySPOD: A Python package for Spectral Proper Orthogonal Decomposition (SPOD). PySPOD is a Python package that implements the so-called Spectral Proper Orthgonal Decomposition whose name was first conied by (Picard and Delville 2000), and goes back to the original work by (Lumley 1970). The implementation proposed here follows the original contributions by (Towne et al. 2018), (Schmidt and Towne 2019). Spectral Proper Orthgonal Decomposition (SPOD) has been extensively used in the past few years to identify spatio-temporal coherent patterns in a variety of datasets, mainly in the fluidmechanics and climate communities. In fluidmechanics it was applied to jets (Schmidt et al. 2017), wakes (Araya et al. 2017), and boundary layers (Tutkun and George 2017), among others, while in weather and climate it was applied to ECMWF reanalysis datasets under the name Spectral Empirical Orthogonal Function, or SEOF, (Schmidt et al. 2019). Homepage: https://mengaldo.github.io/PySPOD/build/html/index.html Source Code: https://github.com/mengaldo/PySPOD Dependencies: Python Keywords: Journal of Open Source Software; PySPOD; Python; Spectral Proper Orthogonal Decomposition; SPOD; SEOF Related Software: Python; PyParSVD; spod_matlab; mpi4py; PyCUDA; Tensor2Tensor; torchdiffeq Cited in: 1 Publication Standard Articles 1 Publication describing the Software Year Cited by 5 Authors 1 Lario, Andrea 1 Maulik, Romit 1 Mengaldo, Gianmarco 1 Rozza, Gianluigi 1 Schmidt, Oliver T. Cited in 1 Serial 1 Journal of Computational Physics Cited in 3 Fields 1 Numerical analysis (65-XX) 1 Fluid mechanics (76-XX) 1 Statistical mechanics, structure of matter (82-XX) Citations by Year