Global Precipitation Trends across Spatial Scales Using Satellite Observations
Abstract
Little dispute surrounds the observed global temperature changes over the past decades. As a result, there is widespread agreement that a corresponding response in the global hydrologic cycle must exist. However, exactly how such a response manifests remains unsettled. Here we use a unique recently developed long-term satellite-based record to assess changes in precipitation across spatial scales. We show that warm climate regions exhibit decreasing precipitation trends, while arid and polar climate regions show increasing trends. At the country scale, precipitation seems to have increased in 96 countries, and decreased in 104. We also explore precipitation changes over 237 global major basins. Our results show opposing trends at different scales, highlighting the importance of spatial scale in trend analysis. Furthermore, while the increasing global temperature trend is apparent in observations, the same cannot be said for the global precipitation trend according to the high-resolution dataset, PERSIANN-CDR, used in this study.
- Authors:
-
- Univ. of California, Irvine, CA (United States); Nong Lam Univ., Ho Chi Minh City (Vietnam)
- Univ. of California, Irvine, CA (United States)
- Publication Date:
- Research Org.:
- Univ. of California, Oakland, CA (United States)
- Sponsoring Org.:
- USDOE Office of International Affairs (IA)
- OSTI Identifier:
- 1541806
- Grant/Contract Number:
- IA0000018
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Bulletin of the American Meteorological Society
- Additional Journal Information:
- Journal Volume: 99; Journal Issue: 4; Journal ID: ISSN 0003-0007
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Meteorology & Atmospheric Sciences
Citation Formats
Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Hsu, Kuolin, Aghakouchak, Amir, Ashouri, Hamed, Tran, Hoang, and Braithwaite, Dan. Global Precipitation Trends across Spatial Scales Using Satellite Observations. United States: N. p., 2018.
Web. doi:10.1175/bams-d-17-0065.1.
Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Hsu, Kuolin, Aghakouchak, Amir, Ashouri, Hamed, Tran, Hoang, & Braithwaite, Dan. Global Precipitation Trends across Spatial Scales Using Satellite Observations. United States. https://doi.org/10.1175/bams-d-17-0065.1
Nguyen, Phu, Thorstensen, Andrea, Sorooshian, Soroosh, Hsu, Kuolin, Aghakouchak, Amir, Ashouri, Hamed, Tran, Hoang, and Braithwaite, Dan. Thu .
"Global Precipitation Trends across Spatial Scales Using Satellite Observations". United States. https://doi.org/10.1175/bams-d-17-0065.1. https://www.osti.gov/servlets/purl/1541806.
@article{osti_1541806,
title = {Global Precipitation Trends across Spatial Scales Using Satellite Observations},
author = {Nguyen, Phu and Thorstensen, Andrea and Sorooshian, Soroosh and Hsu, Kuolin and Aghakouchak, Amir and Ashouri, Hamed and Tran, Hoang and Braithwaite, Dan},
abstractNote = {Little dispute surrounds the observed global temperature changes over the past decades. As a result, there is widespread agreement that a corresponding response in the global hydrologic cycle must exist. However, exactly how such a response manifests remains unsettled. Here we use a unique recently developed long-term satellite-based record to assess changes in precipitation across spatial scales. We show that warm climate regions exhibit decreasing precipitation trends, while arid and polar climate regions show increasing trends. At the country scale, precipitation seems to have increased in 96 countries, and decreased in 104. We also explore precipitation changes over 237 global major basins. Our results show opposing trends at different scales, highlighting the importance of spatial scale in trend analysis. Furthermore, while the increasing global temperature trend is apparent in observations, the same cannot be said for the global precipitation trend according to the high-resolution dataset, PERSIANN-CDR, used in this study.},
doi = {10.1175/bams-d-17-0065.1},
journal = {Bulletin of the American Meteorological Society},
number = 4,
volume = 99,
place = {United States},
year = {Thu May 10 00:00:00 EDT 2018},
month = {Thu May 10 00:00:00 EDT 2018}
}
Web of Science
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Works referencing / citing this record:
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