Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan
The effects of climate change are unparalleled in magnitude, ranging from changing weather patterns that endanger food production to increasing sea levels that increase the likelihood of catastrophic flooding. Therefore, determining the extent of such variations on regional and local scales is imper...
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ftmdpi:oai:mdpi.com:/2073-4433/14/5/871/ 2023-08-20T04:04:58+02:00 Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan Ansa Rebi Azfar Hussain Ishtiaq Hussain Jianhua Cao Waheed Ullah Haider Abbas Safi Ullah Jinxing Zhou agris 2023-05-15 application/pdf https://doi.org/10.3390/atmos14050871 EN eng Multidisciplinary Digital Publishing Institute Climatology https://dx.doi.org/10.3390/atmos14050871 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 14; Issue 5; Pages: 871 precipitation cluster analysis wavelet coherence oceanic indices northern Pakistan Text 2023 ftmdpi https://doi.org/10.3390/atmos14050871 2023-08-01T10:04:32Z The effects of climate change are unparalleled in magnitude, ranging from changing weather patterns that endanger food production to increasing sea levels that increase the likelihood of catastrophic flooding. Therefore, determining the extent of such variations on regional and local scales is imperative. We used monthly precipitation data from 25 meteorological stations in northern Pakistan (NP) to document the observed changes in seasonal and annual precipitation. The station density in the NP is small and unevenly distributed; therefore, ERA-5 reanalysis data were used to supplement the observed dataset to assess the spatial trends in NP. The non-parametric Mann–Kendall (MK), Sen’s Slope estimator (SSE), and Sequential Mann–Kendall (SQMK) tests were performed to assess the trends. In addition, the wavelet analysis technique was used to determine the association of precipitation with various oceanic indices from 1960 to 2016. Results indicate that maximum precipitation was shown in the annual and summer seasons. In NP, annual, winter, spring, and summer precipitation declined, while an increase in autumn was observed at a rate of 0.43 mm/decade between 1989 and 2016. The spatial trends for observed and ERA-5 reanalysis datasets were almost similar in winter, spring, and autumn; however, some disagreement was observed in both datasets in the summer and annual precipitation trends in NP during 1960–2016. Between 1989 and 2016, summer and annual precipitation increased significantly in Region III. However, seasonal and annual precipitation decreased in NP between 1960 and 2016. Moreover, there were no prominent trends in annual precipitation until the mid-1980s, but an apparent increase from 1985 onwards. Annual precipitation increased in all elevations except at the 500–1000 m zone. The ENSO (El Niño–Southern Oscillation) shared notable interannual coherences among all indices above 16–64 months. Inter-decadal coherence with the ENSO, AO (Arctic Oscillation), and PDO (Pacific Decadal Oscillation) in NP for 128 ... Text Arctic Climate change MDPI Open Access Publishing Arctic Pacific Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Atmosphere 14 5 871 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
precipitation cluster analysis wavelet coherence oceanic indices northern Pakistan |
spellingShingle |
precipitation cluster analysis wavelet coherence oceanic indices northern Pakistan Ansa Rebi Azfar Hussain Ishtiaq Hussain Jianhua Cao Waheed Ullah Haider Abbas Safi Ullah Jinxing Zhou Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan |
topic_facet |
precipitation cluster analysis wavelet coherence oceanic indices northern Pakistan |
description |
The effects of climate change are unparalleled in magnitude, ranging from changing weather patterns that endanger food production to increasing sea levels that increase the likelihood of catastrophic flooding. Therefore, determining the extent of such variations on regional and local scales is imperative. We used monthly precipitation data from 25 meteorological stations in northern Pakistan (NP) to document the observed changes in seasonal and annual precipitation. The station density in the NP is small and unevenly distributed; therefore, ERA-5 reanalysis data were used to supplement the observed dataset to assess the spatial trends in NP. The non-parametric Mann–Kendall (MK), Sen’s Slope estimator (SSE), and Sequential Mann–Kendall (SQMK) tests were performed to assess the trends. In addition, the wavelet analysis technique was used to determine the association of precipitation with various oceanic indices from 1960 to 2016. Results indicate that maximum precipitation was shown in the annual and summer seasons. In NP, annual, winter, spring, and summer precipitation declined, while an increase in autumn was observed at a rate of 0.43 mm/decade between 1989 and 2016. The spatial trends for observed and ERA-5 reanalysis datasets were almost similar in winter, spring, and autumn; however, some disagreement was observed in both datasets in the summer and annual precipitation trends in NP during 1960–2016. Between 1989 and 2016, summer and annual precipitation increased significantly in Region III. However, seasonal and annual precipitation decreased in NP between 1960 and 2016. Moreover, there were no prominent trends in annual precipitation until the mid-1980s, but an apparent increase from 1985 onwards. Annual precipitation increased in all elevations except at the 500–1000 m zone. The ENSO (El Niño–Southern Oscillation) shared notable interannual coherences among all indices above 16–64 months. Inter-decadal coherence with the ENSO, AO (Arctic Oscillation), and PDO (Pacific Decadal Oscillation) in NP for 128 ... |
format |
Text |
author |
Ansa Rebi Azfar Hussain Ishtiaq Hussain Jianhua Cao Waheed Ullah Haider Abbas Safi Ullah Jinxing Zhou |
author_facet |
Ansa Rebi Azfar Hussain Ishtiaq Hussain Jianhua Cao Waheed Ullah Haider Abbas Safi Ullah Jinxing Zhou |
author_sort |
Ansa Rebi |
title |
Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan |
title_short |
Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan |
title_full |
Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan |
title_fullStr |
Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan |
title_full_unstemmed |
Spatiotemporal Precipitation Trends and Associated Large-Scale Teleconnections in Northern Pakistan |
title_sort |
spatiotemporal precipitation trends and associated large-scale teleconnections in northern pakistan |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/atmos14050871 |
op_coverage |
agris |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Arctic Pacific Kendall |
geographic_facet |
Arctic Pacific Kendall |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Atmosphere; Volume 14; Issue 5; Pages: 871 |
op_relation |
Climatology https://dx.doi.org/10.3390/atmos14050871 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/atmos14050871 |
container_title |
Atmosphere |
container_volume |
14 |
container_issue |
5 |
container_start_page |
871 |
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1774715381833793536 |