Advanced

Regional sea-surface temperatures explain spatial and temporal variation of summer precipitation in the source region of the Yellow River

Yuan, Feifei LU ; Yasuda, Hiroshi; Berndtsson, Ronny LU ; Bertacchi Uvo, Cintia LU ; Zhang, Linus LU ; Hao, Zhenchun and Wang, Xinping LU (2016) In Hydrological Sciences Journal 61(8). p.1383-1394
Abstract

The summer precipitation (June–September) in the source region of the Yellow River accounts for about 70% of the annual total, playing an important role in water availability. This study divided the source region of the Yellow River into homogeneous zones based on precipitation variability using cluster analysis. Summer precipitation trends and teleconnections with global sea-surface temperatures (SST) and the Southern Oscillation Index (SOI) from 1961 to 2010 were investigated by Mann-Kendall test and Pearson product-moment correlation analysis. The results show that the northwest part (Zone 1) had a non-significantly increasing trend, and the middle and southeast parts (zones 2 and 3) that receive the most precipitation displayed a... (More)

The summer precipitation (June–September) in the source region of the Yellow River accounts for about 70% of the annual total, playing an important role in water availability. This study divided the source region of the Yellow River into homogeneous zones based on precipitation variability using cluster analysis. Summer precipitation trends and teleconnections with global sea-surface temperatures (SST) and the Southern Oscillation Index (SOI) from 1961 to 2010 were investigated by Mann-Kendall test and Pearson product-moment correlation analysis. The results show that the northwest part (Zone 1) had a non-significantly increasing trend, and the middle and southeast parts (zones 2 and 3) that receive the most precipitation displayed a statistically significant decreasing trend for summer precipitation. The summer precipitation in the whole region showed statistically significant negative correlations with the central Pacific SST for 0–4 month lag and with the Southern Indian and Atlantic oceans SST for 5–8 month lag. Analyses of sub-regions reveal intricate and complex correlations with different SST areas that further explain the summer precipitation variability. The SOI had significant positive correlations, mainly for 0–2 months lag, with summer precipitation in the source region of the Yellow River. It is seen that El Niño Southern Oscillation (ENSO) events have an influence on summer precipitation, and the predominant negative correlations indicate that higher SST in equatorial Pacific areas corresponding to El Niño coincides with less summer precipitation in the source region of the Yellow River. Editor Z.W. Kundzewicz; Associate editor D. Gerten

(Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ENSO, Sea-surface temperature, Source region of the Yellow River, Summer precipitation
in
Hydrological Sciences Journal
volume
61
issue
8
pages
12 pages
publisher
IAHS Press
external identifiers
  • scopus:84963820806
  • wos:000378698400002
ISSN
0262-6667
DOI
10.1080/02626667.2015.1035658
language
English
LU publication?
yes
id
62c2736f-f326-4859-9a9f-4f31a0afc081
date added to LUP
2017-02-01 09:04:12
date last changed
2017-09-18 11:34:57
@article{62c2736f-f326-4859-9a9f-4f31a0afc081,
  abstract     = {<p>The summer precipitation (June–September) in the source region of the Yellow River accounts for about 70% of the annual total, playing an important role in water availability. This study divided the source region of the Yellow River into homogeneous zones based on precipitation variability using cluster analysis. Summer precipitation trends and teleconnections with global sea-surface temperatures (SST) and the Southern Oscillation Index (SOI) from 1961 to 2010 were investigated by Mann-Kendall test and Pearson product-moment correlation analysis. The results show that the northwest part (Zone 1) had a non-significantly increasing trend, and the middle and southeast parts (zones 2 and 3) that receive the most precipitation displayed a statistically significant decreasing trend for summer precipitation. The summer precipitation in the whole region showed statistically significant negative correlations with the central Pacific SST for 0–4 month lag and with the Southern Indian and Atlantic oceans SST for 5–8 month lag. Analyses of sub-regions reveal intricate and complex correlations with different SST areas that further explain the summer precipitation variability. The SOI had significant positive correlations, mainly for 0–2 months lag, with summer precipitation in the source region of the Yellow River. It is seen that El Niño Southern Oscillation (ENSO) events have an influence on summer precipitation, and the predominant negative correlations indicate that higher SST in equatorial Pacific areas corresponding to El Niño coincides with less summer precipitation in the source region of the Yellow River. Editor Z.W. Kundzewicz; Associate editor D. Gerten</p>},
  author       = {Yuan, Feifei and Yasuda, Hiroshi and Berndtsson, Ronny and Bertacchi Uvo, Cintia and Zhang, Linus and Hao, Zhenchun and Wang, Xinping},
  issn         = {0262-6667},
  keyword      = {ENSO,Sea-surface temperature,Source region of the Yellow River,Summer precipitation},
  language     = {eng},
  month        = {06},
  number       = {8},
  pages        = {1383--1394},
  publisher    = {IAHS Press},
  series       = {Hydrological Sciences Journal},
  title        = {Regional sea-surface temperatures explain spatial and temporal variation of summer precipitation in the source region of the Yellow River},
  url          = {http://dx.doi.org/10.1080/02626667.2015.1035658},
  volume       = {61},
  year         = {2016},
}