Modelling 85Kr datasets with python for applications in tracer hydrology and to investigate atmospheric circulation Article Swipe

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Arne Kersting , Sofia Brander , Axel Suckow ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1016/j.mex.2021.101245

We present a model written in python to evaluate data from comprehensive ⁸⁵Kr collection schemes comprising 11 datasets from different monitoring stations around the globe. The model is designed to (1) calculate atmospheric input functions for the application of ⁸⁵Kr as a dating tracer and (2) to investigate atmospheric circulation based on a two-box model of the atmosphere. Different functions were implemented, to (1) filter the data, (2) fit polynomials and running means, (3) extrapolate fits from the northern to the southern hemisphere, (4) calculate interhemispheric exchange times and ⁸⁵Kr emission rates and (5) export data to a csv file. Although the model is designed to evaluate atmospheric ⁸⁵Kr datasets, some functionality and basic concepts can be applied to other dating tracers, like tritium and SF₆.•Standardized method to systematically analyse atmospheric ⁸⁵Kr activity concentration time series for dating water and ice and to investigate atmospheric circulation.•Easily modifiable python script to adapt functions for similar data analysis procedures.

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Environmental Science

General Circulation Model

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Python (programming language) TRACER Atmospheric circulation Environmental science General Circulation Model Computer science Atmospheric sciences Geology Climate change Programming language Physics Nuclear physics Oceanography

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.mex.2021.101245
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Cited By: 4
References: 6
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DOI: https://doi.org/10.1016/j.mex.2021.101245

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Title: Modelling 85Kr datasets with python for applications in tracer hydrology and to investigate atmospheric circulation

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Language: en

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Publication year: 2021

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Authors: Arne Kersting, Sofia Brander, Axel Suckow

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Landing page: https://doi.org/10.1016/j.mex.2021.101245

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Concepts: Python (programming language), TRACER, Atmospheric circulation, Environmental science, General Circulation Model, Computer science, Atmospheric sciences, Geology, Climate change, Programming language, Physics, Nuclear physics, Oceanography

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Cited by: 4

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abstract_inverted_index.tritium	123
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abstract_inverted_index.emission	90
abstract_inverted_index.evaluate	8, 106
abstract_inverted_index.exchange	86
abstract_inverted_index.northern	78
abstract_inverted_index.southern	81
abstract_inverted_index.stations	21
abstract_inverted_index.tracers,	121
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abstract_inverted_index.calculate	31, 84
abstract_inverted_index.datasets,	109
abstract_inverted_index.different	19
abstract_inverted_index.functions	34, 59, 151
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abstract_inverted_index.atmosphere.	57
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abstract_inverted_index.hemisphere,	82
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abstract_inverted_index.<sup>85</sup>Kr	12, 39, 89, 108, 131
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corresponding_author_ids	https://openalex.org/A5003174525
countries_distinct_count	2
institutions_distinct_count	3
corresponding_institution_ids	https://openalex.org/I223822909
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