Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices
Temporary changes in precipitation may lead to sustained and severe drought or massive floods in different parts of the world. Knowing variation in precipitation can effectively help the water resources decision-makers in water resources management. Large-scale circulation drivers have a considerabl...
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ftdatacite:10.48550/arxiv.2001.09757 2023-05-15T17:35:09+02:00 Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices Dehghani, Majid Salehi, Somayeh Mosavi, Amir Nabipour, Narjes Shamshirband, Shahaboddin Ghamisi, Pedram 2020 https://dx.doi.org/10.48550/arxiv.2001.09757 https://arxiv.org/abs/2001.09757 unknown arXiv Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Atmospheric and Oceanic Physics physics.ao-ph Earth and Planetary Astrophysics astro-ph.EP FOS Physical sciences 68T01 Article CreativeWork article Preprint 2020 ftdatacite https://doi.org/10.48550/arxiv.2001.09757 2022-03-10T16:21:59Z Temporary changes in precipitation may lead to sustained and severe drought or massive floods in different parts of the world. Knowing variation in precipitation can effectively help the water resources decision-makers in water resources management. Large-scale circulation drivers have a considerable impact on precipitation in different parts of the world. In this research, the impact of El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and North Atlantic Oscillation (NAO) on seasonal precipitation over Iran was investigated. For this purpose, 103 synoptic stations with at least 30 years of data were utilized. The Spearman correlation coefficient between the indices in the previous 12 months with seasonal precipitation was calculated, and the meaningful correlations were extracted. Then the month in which each of these indices has the highest correlation with seasonal precipitation was determined. Finally, the overall amount of increase or decrease in seasonal precipitation due to each of these indices was calculated. Results indicate the Southern Oscillation Index (SOI), NAO, and PDO have the most impact on seasonal precipitation, respectively. Also, these indices have the highest impact on the precipitation in winter, autumn, spring, and summer, respectively. SOI has a diverse impact on winter precipitation compared to the PDO and NAO, while in the other seasons, each index has its special impact on seasonal precipitation. Generally, all indices in different phases may decrease the seasonal precipitation up to 100%. However, the seasonal precipitation may increase more than 100% in different seasons due to the impact of these indices. The results of this study can be used effectively in water resources management and especially in dam operation. : 25 pages, 10 figures Article in Journal/Newspaper North Atlantic North Atlantic oscillation DataCite Metadata Store (German National Library of Science and Technology) Pacific Soi ENVELOPE(30.704,30.704,66.481,66.481) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Atmospheric and Oceanic Physics physics.ao-ph Earth and Planetary Astrophysics astro-ph.EP FOS Physical sciences 68T01 |
spellingShingle |
Atmospheric and Oceanic Physics physics.ao-ph Earth and Planetary Astrophysics astro-ph.EP FOS Physical sciences 68T01 Dehghani, Majid Salehi, Somayeh Mosavi, Amir Nabipour, Narjes Shamshirband, Shahaboddin Ghamisi, Pedram Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices |
topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph Earth and Planetary Astrophysics astro-ph.EP FOS Physical sciences 68T01 |
description |
Temporary changes in precipitation may lead to sustained and severe drought or massive floods in different parts of the world. Knowing variation in precipitation can effectively help the water resources decision-makers in water resources management. Large-scale circulation drivers have a considerable impact on precipitation in different parts of the world. In this research, the impact of El Niño-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and North Atlantic Oscillation (NAO) on seasonal precipitation over Iran was investigated. For this purpose, 103 synoptic stations with at least 30 years of data were utilized. The Spearman correlation coefficient between the indices in the previous 12 months with seasonal precipitation was calculated, and the meaningful correlations were extracted. Then the month in which each of these indices has the highest correlation with seasonal precipitation was determined. Finally, the overall amount of increase or decrease in seasonal precipitation due to each of these indices was calculated. Results indicate the Southern Oscillation Index (SOI), NAO, and PDO have the most impact on seasonal precipitation, respectively. Also, these indices have the highest impact on the precipitation in winter, autumn, spring, and summer, respectively. SOI has a diverse impact on winter precipitation compared to the PDO and NAO, while in the other seasons, each index has its special impact on seasonal precipitation. Generally, all indices in different phases may decrease the seasonal precipitation up to 100%. However, the seasonal precipitation may increase more than 100% in different seasons due to the impact of these indices. The results of this study can be used effectively in water resources management and especially in dam operation. : 25 pages, 10 figures |
format |
Article in Journal/Newspaper |
author |
Dehghani, Majid Salehi, Somayeh Mosavi, Amir Nabipour, Narjes Shamshirband, Shahaboddin Ghamisi, Pedram |
author_facet |
Dehghani, Majid Salehi, Somayeh Mosavi, Amir Nabipour, Narjes Shamshirband, Shahaboddin Ghamisi, Pedram |
author_sort |
Dehghani, Majid |
title |
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices |
title_short |
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices |
title_full |
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices |
title_fullStr |
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices |
title_full_unstemmed |
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices |
title_sort |
spatial analysis of seasonal precipitation over iran: co-variation with climate indices |
publisher |
arXiv |
publishDate |
2020 |
url |
https://dx.doi.org/10.48550/arxiv.2001.09757 https://arxiv.org/abs/2001.09757 |
long_lat |
ENVELOPE(30.704,30.704,66.481,66.481) |
geographic |
Pacific Soi |
geographic_facet |
Pacific Soi |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.48550/arxiv.2001.09757 |
_version_ |
1766134222892826624 |