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License: CC BY
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ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2023
License: CC BY
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Code for "The effect of a short observational record on the statistics of temperature extremes"

Authors: Zeder, Joel;

Code for "The effect of a short observational record on the statistics of temperature extremes"

Abstract

This is the (cleaned) git repository for the "The effect of a short observational record on the statistics of temperature extremes" paper by Zeder et al. (in review) published in Geophysical Research Letters. It is a close of the GitLab repository https://git.iac.ethz.ch/climphys/climate-extremes/retper-evaluation (publically accessible). File structure: Settings (mostly plotting) in "settings.R" file GEV fitting and manipulation functions in "GEV_FUN.R" Data preparation in folder "1_data_prep" (Most things are hardcoded and can only be reproduced on IAC servers) GEV fitting procedures for large ensemble data in "2_GEVest_LE_fit" GEV evaluation procedures for large ensemble data in "3_GEVest_LE_eval" GEV fitting and evaluation procedures for synthetic data experiments in "4_GEVest_sim" Joint analysis (GEV parameter CI coverage) in "5_Joint_Analysis" Data: A set of pre-processed data is available on https://doi.org/10.3929/ethz-b-000619286. Aside from fevd objects (R lists), all the data is converted to .csv files for long-term readability (numerical values were rounded to four significant digits). The script "read_csv.R" can be used to read in the .csv file and assemble the data in an .RData file, which is later read by the individual scripts. R Session: The R code was produced on a Linux machine and in an R environment.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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