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PARMESAN (the Python Atmospheric Research Package for MEteorologicalTimeSeries and Turbulence ANalysis) is a Python package providing commonfunctionality for atmospheric scientists doing time series or turbulenceanalysis. Several meteorological quantities such as potential temperature,various humidity measures, gas concentrations, wind speed and direction,turbulence and stability parameters can be calculated. Furthermore, signalprocessing functionality such as properly normed variance spectra for frequencyanalysis is available. In contrast to existing packages with similar goals, itsroutines for physical quantities are derived from symbolic mathematicalexpressions, enabling inspection, automatic rearrangement, reuse andrecombination of the underlying equations. Building on this, PARMESAN'sfunctions as well as their comprehensive parameter documentation are mostlyauto-generated, minimizing human error and effort. In addition,sensitivity/error propagation analysis is possible as mathematical operationslike derivations can be applied to the underlying equations. Physicalconsistency in terms of units and value domains are transparently ensured forPARMESAN functions. PARMESAN's approach can be reused to simplifyimplementation of robust routines in other fields of physics.

PARMESAN: Meteorological Timeseries and Turbulence Analysis Backed by Symbolic Mathematics