Version 1
: Received: 28 July 2023 / Approved: 1 August 2023 / Online: 1 August 2023 (11:26:05 CEST)
Version 2
: Received: 25 August 2023 / Approved: 28 August 2023 / Online: 29 August 2023 (04:06:19 CEST)
How to cite:
TWARÓG, B.S. Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences. Preprints2023, 2023080043. https://doi.org/10.20944/preprints202308.0043.v2
TWARÓG, B.S. Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences. Preprints 2023, 2023080043. https://doi.org/10.20944/preprints202308.0043.v2
TWARÓG, B.S. Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences. Preprints2023, 2023080043. https://doi.org/10.20944/preprints202308.0043.v2
APA Style
TWARÓG, B.S. (2023). Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences. Preprints. https://doi.org/10.20944/preprints202308.0043.v2
Chicago/Turabian Style
TWARÓG, B.S. 2023 "Assessing Polarisation of Climate Phenomena Based on Long-Term Precipitation and Temperature Sequences" Preprints. https://doi.org/10.20944/preprints202308.0043.v2
Abstract
This article presents an analysis of monthly precipitation totals based on the Global Precipitation Climatology Centre database and monthly mean temperatures based on National Oceanic and Atmospheric Administration data for 377 catchments located around the world. Data sequences covering 110 years from 1901 to 2010 were analysed. The long-term sequences of precipitation and temperature were used to assess the variability of climate extremes, referred to here as polarisation. Measures of polarisation used in the natural sciences are discussed. A simple measure of polarisation was presented and applied to long-term sequences of monthly precipitation totals and monthly mean temperatures. Due to the nature of the proposed polarisation measure, other characteristics of precipitation and temperature sequences are also presented as a background for the discussion of the polarisation index. The study showed the existence of trends related to the polarisation of temperature and precipitation phenomena. As a result of the analysis, trends of polarisation factors in the area of precipitation and temperature were identified in 11 catchments out of the 377 analysed catchments. The trend analysis used Mann-Kendall tests at a level of significance of 5%. The Pettitt test was used to determine the point of trend change for precipitation and temperature data. The whole investigation is supported by rich graphical analyses, and the results are presented in tabular form.
Keywords
polarisation of climatic phenomena; 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.
