Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts
Nowadays there is a strong degree of agreement that the climate change is the defining challenge of our time, which will exert influence on the ecosystems, on all branches of the international economy and on the quality of life. The analysis based on climate indices is widely used non-parametric app...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2020-12-01
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| Series: | Cybernetics and Information Technologies |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/cait-2020-0069 |
| _version_ | 1811272311466098688 |
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| author | Chervenkov Hristo Gadzhev Georgi Ivanov Vladimir Ganev Kostadin |
| author_facet | Chervenkov Hristo Gadzhev Georgi Ivanov Vladimir Ganev Kostadin |
| author_sort | Chervenkov Hristo |
| collection | DOAJ |
| description | Nowadays there is a strong degree of agreement that the climate change is the defining challenge of our time, which will exert influence on the ecosystems, on all branches of the international economy and on the quality of life. The analysis based on climate indices is widely used non-parametric approach for quantification of the mean state as well as extreme climate events. This study, which is continuation of our previous efforts, is dedicated to the assessment of the trend magnitude and the trend statistical significance of six temperature-based and three precipitation-based indices in projected future climate over Southeast Europe up to the end of the 21st century. The indices are computed from the bias-corrected output of five CMIP5 global models, reinforced with all four RCP emission scenarios. The model output is accessed from the section of the Inter Sectoral Impact Model Intercomparison Project in the Copernicus Data Store. The multi model ensemble medians of the temperature-based indices shows considerable increase which is consistent with the warming of the mean temperatures. These changes are statistically significant in most cases and intensify with the radiative forcing. The revealed tendencies of the precipitation-based indices are more complex when compared with temperature tendencies. |
| first_indexed | 2024-04-12T22:37:02Z |
| format | Article |
| id | doaj.art-32d7b20234b94085ac441004a00a14b8 |
| institution | Directory Open Access Journal |
| issn | 1314-4081 |
| language | English |
| last_indexed | 2024-04-12T22:37:02Z |
| publishDate | 2020-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Cybernetics and Information Technologies |
| spelling | doaj.art-32d7b20234b94085ac441004a00a14b82022-12-22T03:13:49ZengSciendoCybernetics and Information Technologies1314-40812020-12-0120615516510.2478/cait-2020-0069Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural ImpactsChervenkov Hristo0Gadzhev Georgi1Ivanov Vladimir2Ganev Kostadin3National Institute of Meteorology and Hydrology (NIMH), Tsarigradsko Shose Blvd. 66, 1784Sofia, BulgariaNational Institute of Geophysics, Geodesy and Geography – Bulgarian Academy of Sciences (NIGGG-BAS), Acad. Georgi Bonchev Str. Bl. 3, 1113Sofia, BulgariaNational Institute of Geophysics, Geodesy and Geography – Bulgarian Academy of Sciences (NIGGG-BAS), Acad. Georgi Bonchev Str. Bl. 3, 1113Sofia, BulgariaNational Institute of Geophysics, Geodesy and Geography – Bulgarian Academy of Sciences (NIGGG-BAS), Acad. Georgi Bonchev Str. Bl. 3, 1113Sofia, BulgariaNowadays there is a strong degree of agreement that the climate change is the defining challenge of our time, which will exert influence on the ecosystems, on all branches of the international economy and on the quality of life. The analysis based on climate indices is widely used non-parametric approach for quantification of the mean state as well as extreme climate events. This study, which is continuation of our previous efforts, is dedicated to the assessment of the trend magnitude and the trend statistical significance of six temperature-based and three precipitation-based indices in projected future climate over Southeast Europe up to the end of the 21st century. The indices are computed from the bias-corrected output of five CMIP5 global models, reinforced with all four RCP emission scenarios. The model output is accessed from the section of the Inter Sectoral Impact Model Intercomparison Project in the Copernicus Data Store. The multi model ensemble medians of the temperature-based indices shows considerable increase which is consistent with the warming of the mean temperatures. These changes are statistically significant in most cases and intensify with the radiative forcing. The revealed tendencies of the precipitation-based indices are more complex when compared with temperature tendencies.https://doi.org/10.2478/cait-2020-0069climate indicesrcpcmip5 ensemblefuture climatetrend analysis |
| spellingShingle | Chervenkov Hristo Gadzhev Georgi Ivanov Vladimir Ganev Kostadin Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts Cybernetics and Information Technologies climate indices rcp cmip5 ensemble future climate trend analysis |
| title | Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts |
| title_full | Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts |
| title_fullStr | Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts |
| title_full_unstemmed | Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts |
| title_short | Trend Analysis of CMIP5 Ensemble of Climate Indices over Southeast Europe with Focus on Agricultural Impacts |
| title_sort | trend analysis of cmip5 ensemble of climate indices over southeast europe with focus on agricultural impacts |
| topic | climate indices rcp cmip5 ensemble future climate trend analysis |
| url | https://doi.org/10.2478/cait-2020-0069 |
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