PreprintArticleVersion 2Preserved in Portico This version is not peer-reviewed
Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method
Version 1
: Received: 2 August 2023 / Approved: 2 August 2023 / Online: 3 August 2023 (10:43:38 CEST)
Version 2
: Received: 29 February 2024 / Approved: 1 March 2024 / Online: 1 March 2024 (05:45:06 CET)
How to cite:
TWARÓG, B.S. Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method. Preprints2023, 2023080260. https://doi.org/10.20944/preprints202308.0260.v2
TWARÓG, B.S. Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method. Preprints 2023, 2023080260. https://doi.org/10.20944/preprints202308.0260.v2
TWARÓG, B.S. Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method. Preprints2023, 2023080260. https://doi.org/10.20944/preprints202308.0260.v2
APA Style
TWARÓG, B.S. (2024). Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method. Preprints. https://doi.org/10.20944/preprints202308.0260.v2
Chicago/Turabian Style
TWARÓG, B.S. 2024 "Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method" Preprints. https://doi.org/10.20944/preprints202308.0260.v2
Abstract
In this paper, the Shannon entropy measure was used to assess changes in precipitation and temperature conditions. Due to the short, low-volume sequences of precipitation and temperature data analysed, a bootstrap method was used in the procedure for calculating Shannon entropy. The analysis used minimum and maximum values of monthly precipitation totals and monthly mean temperatures for 377 catchments distributed across the globe. A 110-year data series from 1901 to 2010 was analysed. Entropy values for the estimated parameters of the generalised extreme value distribution (GEV) were calculated for the adopted data. Entropy value calculations were performed for the left-hand constraint, based on minimum values, and for the right-hand constraint, based on maximum values. The applicability of Shannon's entropy measure in the analysis of climate change was demonstrated by allowing the degree of disorder and complexity of the distributions describing climate variables in the form of precipitation and temperature to be measured. This made it possible to obtain information on the directions of changes occurring with regard to minimum and maximum values in the field of monthly precipitation and mean temperatures in the analysed catchments. The study demonstrated the existence of Shannon entropy trends. The evaluation of entropy trends for precipitation and temperature sequences was performed using non-parametric tests. Mann -Kendall tests at the 5% significance level were used for trend analyses. The Pettitt test was performed to determine the point of change in trend for the rainfall and temperature data. The performed analysis was supported by graphical presentations.
Keywords
Shannon entropy; bootstrap method; GPCC data; NOAA data; monthly precipitation; average temperature; climate trends; Mann Kendall test; Pettitt test
Subject
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
