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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MDPI AG
2022-10-01
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Online Access: | https://www.mdpi.com/2072-4292/14/21/5433 |
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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 |
collection | DOAJ |
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 (−250 to +250 mm). Compared to the average state (trend during a specific period), the greatest changes in precipitation were more abrupt and unpredictable, which might impose a severe threat to the ecology, environment, and natural resources. |
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issn | 2072-4292 |
language | English |
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spelling | doaj.art-a3e1f5e7f258452b9e2d124bda5527662023-11-24T06:38:56ZengMDPI AGRemote Sensing2072-42922022-10-011421543310.3390/rs14215433Detecting the Greatest Changes in Global Satellite-Based Precipitation ObservationsMajid Kazemzadeh0Hossein Hashemi1Sadegh Jamali2Cintia B. Uvo3Ronny Berndtsson4George J. Huffman5Faculty of Natural Resources, University of Tehran, Karaj 31587-77871, IranDepartment of Water Resources Engineering, Faculty of Engineering, Lund University, 221 00 Lund, SwedenDepartment of Technology and Society, Faculty of Engineering, Lund University, 221 00 Lund, SwedenDepartment of Water Resources Engineering, Faculty of Engineering, Lund University, 221 00 Lund, SwedenDepartment of Water Resources Engineering, Faculty of Engineering, Lund University, 221 00 Lund, SwedenNASA Goddard Space Flight Center, Code 612, 8800 Greenbelt Road, Greenbelt, MD 20771, USAIn 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 (−250 to +250 mm). Compared to the average state (trend during a specific period), the greatest changes in precipitation were more abrupt and unpredictable, which might impose a severe threat to the ecology, environment, and natural resources.https://www.mdpi.com/2072-4292/14/21/5433breakpointDBESTglobalprecipitationTRMM satellite |
spellingShingle | Majid Kazemzadeh Hossein Hashemi Sadegh Jamali Cintia B. Uvo Ronny Berndtsson George J. Huffman Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations Remote Sensing breakpoint DBEST global precipitation TRMM satellite |
title | 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_short | Detecting the Greatest Changes in Global Satellite-Based Precipitation Observations |
title_sort | detecting the greatest changes in global satellite based precipitation observations |
topic | breakpoint DBEST global precipitation TRMM satellite |
url | https://www.mdpi.com/2072-4292/14/21/5433 |
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