Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations
In recent years, the analysis of abrupt and non-abrupt changes in precipitation has received much attention due to the importance of climate change-related issues (e.g., extreme climate events). In this study, we used a novel segmentation algorithm, DBEST (Detecting Breakpoints and Estimating Segmen...
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ftdoajarticles:oai:doaj.org/article:a3e1f5e7f258452b9e2d124bda552766 2023-05-15T18:21:15+02:00 Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations Majid Kazemzadeh Hossein Hashemi Sadegh Jamali Cintia B. Uvo Ronny Berndtsson George J. Huffman 2022-10-01T00:00:00Z https://doi.org/10.3390/rs14215433 https://doaj.org/article/a3e1f5e7f258452b9e2d124bda552766 EN eng MDPI AG https://www.mdpi.com/2072-4292/14/21/5433 https://doaj.org/toc/2072-4292 doi:10.3390/rs14215433 2072-4292 https://doaj.org/article/a3e1f5e7f258452b9e2d124bda552766 Remote Sensing, Vol 14, Iss 5433, p 5433 (2022) breakpoint DBEST global precipitation TRMM satellite Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14215433 2022-12-30T21:26:30Z In recent years, the analysis of abrupt and non-abrupt changes in precipitation has received much attention due to the importance of climate change-related issues (e.g., extreme climate events). In this study, we used a novel segmentation algorithm, DBEST (Detecting Breakpoints and Estimating Segments in Trend), to analyze the greatest changes in precipitation using a monthly pixel-based satellite precipitation dataset (TRMM 3B43) at three different scales: (i) global, (ii) continental, and (iii) climate zone, during the 1998–2019 period. We found significant breakpoints, 14.1%, both in the form of abrupt and non-abrupt changes, in the global scale precipitation at the 0.05 significance level. Most of the abrupt changes were observed near the Equator in the Pacific Ocean and Asian continent, relative to the rest of the globe. Most detected breakpoints occurred during the 1998–1999 and 2009–2011 periods on the global scale. The average precipitation change for the detected breakpoint was ±100 mm, with some regions reaching ±3000 mm. For instance, most portions of northern Africa and Asia experienced major changes of approximately +100 mm. In contrast, most of the South Pacific and South Atlantic Ocean experienced changes of −100 mm during the studied period. Our findings indicated that the larger areas of Africa (23.9%), Asia (22.9%), and Australia (15.4%) experienced significant precipitation breakpoints compared to North America (11.6%), South America (9.3%), Europe (8.3%), and Oceania (9.6%). Furthermore, we found that the majority of detected significant breakpoints occurred in the arid (31.6%) and polar (24.1%) climate zones, while the least significant breakpoints were found for snow-covered (11.5%), equatorial (7.5%), and warm temperate (7.7%) climate zones. Positive breakpoints’ temporal coverage in the arid (54.0%) and equatorial (51.9%) climates were more than those in other climates zones. Here, the findings indicated that large areas of Africa and Asia experienced significant changes in precipitation ... Article in Journal/Newspaper South Atlantic Ocean Directory of Open Access Journals: DOAJ Articles Pacific Remote Sensing 14 21 5433 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
topic |
breakpoint DBEST global precipitation TRMM satellite Science Q |
spellingShingle |
breakpoint DBEST global precipitation TRMM satellite Science Q Majid Kazemzadeh Hossein Hashemi Sadegh Jamali Cintia B. Uvo Ronny Berndtsson George J. Huffman Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
topic_facet |
breakpoint DBEST global precipitation TRMM satellite Science Q |
description |
In recent years, the analysis of abrupt and non-abrupt changes in precipitation has received much attention due to the importance of climate change-related issues (e.g., extreme climate events). In this study, we used a novel segmentation algorithm, DBEST (Detecting Breakpoints and Estimating Segments in Trend), to analyze the greatest changes in precipitation using a monthly pixel-based satellite precipitation dataset (TRMM 3B43) at three different scales: (i) global, (ii) continental, and (iii) climate zone, during the 1998–2019 period. We found significant breakpoints, 14.1%, both in the form of abrupt and non-abrupt changes, in the global scale precipitation at the 0.05 significance level. Most of the abrupt changes were observed near the Equator in the Pacific Ocean and Asian continent, relative to the rest of the globe. Most detected breakpoints occurred during the 1998–1999 and 2009–2011 periods on the global scale. The average precipitation change for the detected breakpoint was ±100 mm, with some regions reaching ±3000 mm. For instance, most portions of northern Africa and Asia experienced major changes of approximately +100 mm. In contrast, most of the South Pacific and South Atlantic Ocean experienced changes of −100 mm during the studied period. Our findings indicated that the larger areas of Africa (23.9%), Asia (22.9%), and Australia (15.4%) experienced significant precipitation breakpoints compared to North America (11.6%), South America (9.3%), Europe (8.3%), and Oceania (9.6%). Furthermore, we found that the majority of detected significant breakpoints occurred in the arid (31.6%) and polar (24.1%) climate zones, while the least significant breakpoints were found for snow-covered (11.5%), equatorial (7.5%), and warm temperate (7.7%) climate zones. Positive breakpoints’ temporal coverage in the arid (54.0%) and equatorial (51.9%) climates were more than those in other climates zones. Here, the findings indicated that large areas of Africa and Asia experienced significant changes in precipitation ... |
format |
Article in Journal/Newspaper |
author |
Majid Kazemzadeh Hossein Hashemi Sadegh Jamali Cintia B. Uvo Ronny Berndtsson George J. Huffman |
author_facet |
Majid Kazemzadeh Hossein Hashemi Sadegh Jamali Cintia B. Uvo Ronny Berndtsson George J. Huffman |
author_sort |
Majid Kazemzadeh |
title |
Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
title_short |
Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
title_full |
Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
title_fullStr |
Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
title_full_unstemmed |
Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
title_sort |
detecting the greatest changes in global satellite-based precipitation observations |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14215433 https://doaj.org/article/a3e1f5e7f258452b9e2d124bda552766 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_source |
Remote Sensing, Vol 14, Iss 5433, p 5433 (2022) |
op_relation |
https://www.mdpi.com/2072-4292/14/21/5433 https://doaj.org/toc/2072-4292 doi:10.3390/rs14215433 2072-4292 https://doaj.org/article/a3e1f5e7f258452b9e2d124bda552766 |
op_doi |
https://doi.org/10.3390/rs14215433 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
21 |
container_start_page |
5433 |
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1766200429667942400 |