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Title: 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:
 [1];  [2];  [2];  [2];  [2];  [2];  [2];  [2]
  1. Univ. of California, Irvine, CA (United States); Nong Lam Univ., Ho Chi Minh City (Vietnam)
  2. 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:
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. doi: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. doi: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 = {2018},
month = {5}
}

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