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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Published in:Atmosphere
Main Authors: Ansa Rebi, Azfar Hussain, Ishtiaq Hussain, Jianhua Cao, Waheed Ullah, Haider Abbas, Safi Ullah, Jinxing Zhou
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
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Online Access:https://doi.org/10.3390/atmos14050871
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spelling 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
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