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Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017
This work analyses the temporal and spatial characteristics of bioclimatic conditions in the Lower Silesia region. The daily time values (12UTC) of meteorological variables in the period 1966–2017 from seven synoptic stations of the Institute of Meteorology and Water Management (IMGW) (Jelenia Góra,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370951/ https://www.ncbi.nlm.nih.gov/pubmed/33001277 http://dx.doi.org/10.1007/s00484-020-01970-5 |
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author | Głogowski, Arkadiusz Bryś, Krystyna Perona, Paolo |
author_facet | Głogowski, Arkadiusz Bryś, Krystyna Perona, Paolo |
author_sort | Głogowski, Arkadiusz |
collection | PubMed |
description | This work analyses the temporal and spatial characteristics of bioclimatic conditions in the Lower Silesia region. The daily time values (12UTC) of meteorological variables in the period 1966–2017 from seven synoptic stations of the Institute of Meteorology and Water Management (IMGW) (Jelenia Góra, Kłodzko, Legnica, Leszno, Wrocław, Opole, Śnieżka) were used as the basic data to assess the thermal stress index UTCI (Universal Thermal Climate Index). The UTCI can be interpreted by ten different thermal classes, representing the bulk of these bioclimatic conditions. Stochastic autoregressive moving-average modelling (ARMA) was used for the statistical analysis and modelling of the UTCI as well as separately for all meteorological components. This made it possible to test differences in predicting UTCI as a full index or reconstructing it from single meteorological variables. The results show an annual and seasonal variability of UTCI for the Lower Silesia region. Strong significant spatial correlations in UTCI were also found in all stations of the region. “No thermal stress” is the most commonly occurring thermal class in this region (about 38%). Thermal conditions related to cold stress classes occurred more frequently (all cold classes at about 47%) than those of heat stress classes (all heat classes at about 15%). Over the available 52-year period, the occurrence of “extreme heat stress” conditions was not detected. Autoregressive analysis, although successful in predicting UTCI, was nonetheless unsuccessful in reconstructing the wind speed, which showed a persistent temporal correlation possibly due to its vectorial origin. We conclude thereby that reconstructing UTCI using linear autoregressive methods is more suitable when working directly on the UTCI as a whole rather than reconstructing it from single variables. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00484-020-01970-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8370951 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83709512021-08-31 Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 Głogowski, Arkadiusz Bryś, Krystyna Perona, Paolo Int J Biometeorol Special Issue: UTCI - 10 years of applications This work analyses the temporal and spatial characteristics of bioclimatic conditions in the Lower Silesia region. The daily time values (12UTC) of meteorological variables in the period 1966–2017 from seven synoptic stations of the Institute of Meteorology and Water Management (IMGW) (Jelenia Góra, Kłodzko, Legnica, Leszno, Wrocław, Opole, Śnieżka) were used as the basic data to assess the thermal stress index UTCI (Universal Thermal Climate Index). The UTCI can be interpreted by ten different thermal classes, representing the bulk of these bioclimatic conditions. Stochastic autoregressive moving-average modelling (ARMA) was used for the statistical analysis and modelling of the UTCI as well as separately for all meteorological components. This made it possible to test differences in predicting UTCI as a full index or reconstructing it from single meteorological variables. The results show an annual and seasonal variability of UTCI for the Lower Silesia region. Strong significant spatial correlations in UTCI were also found in all stations of the region. “No thermal stress” is the most commonly occurring thermal class in this region (about 38%). Thermal conditions related to cold stress classes occurred more frequently (all cold classes at about 47%) than those of heat stress classes (all heat classes at about 15%). Over the available 52-year period, the occurrence of “extreme heat stress” conditions was not detected. Autoregressive analysis, although successful in predicting UTCI, was nonetheless unsuccessful in reconstructing the wind speed, which showed a persistent temporal correlation possibly due to its vectorial origin. We conclude thereby that reconstructing UTCI using linear autoregressive methods is more suitable when working directly on the UTCI as a whole rather than reconstructing it from single variables. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00484-020-01970-5) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-10-01 2021 /pmc/articles/PMC8370951/ /pubmed/33001277 http://dx.doi.org/10.1007/s00484-020-01970-5 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Special Issue: UTCI - 10 years of applications Głogowski, Arkadiusz Bryś, Krystyna Perona, Paolo Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 |
title | Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 |
title_full | Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 |
title_fullStr | Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 |
title_full_unstemmed | Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 |
title_short | Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017 |
title_sort | bioclimatic conditions of the lower silesia region (south-west poland) from 1966 to 2017 |
topic | Special Issue: UTCI - 10 years of applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370951/ https://www.ncbi.nlm.nih.gov/pubmed/33001277 http://dx.doi.org/10.1007/s00484-020-01970-5 |
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