Interdecadal variability of winter precipitation in Southeast China

Interdecadal variability of observed winter precipitation in Southeast China (1961–2010) is characterized by the first empirical orthogonal function of the three-monthly Standardized Precipitation Index (SPI) subjected to a 9-year running mean. For interdecadal time scales the dominating spatial mod...

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Published in:Climate Dynamics
Main Authors: Zhang, L., Zhu, X., Fraedrich, K., Sielmann, F., Zhi, X.
Format: Article in Journal/Newspaper
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/11858/00-001M-0000-0015-1A3E-3
http://hdl.handle.net/11858/00-001M-0000-0026-DB38-4
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spelling ftpubman:oai:pure.mpg.de:item_1920038 2024-09-09T19:26:49+00:00 Interdecadal variability of winter precipitation in Southeast China Zhang, L. Zhu, X. Fraedrich, K. Sielmann, F. Zhi, X. 2014 application/pdf http://hdl.handle.net/11858/00-001M-0000-0015-1A3E-3 http://hdl.handle.net/11858/00-001M-0000-0026-DB38-4 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-014-2048-1 http://hdl.handle.net/11858/00-001M-0000-0015-1A3E-3 http://hdl.handle.net/11858/00-001M-0000-0026-DB38-4 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/3.0/ Climate Dynamics info:eu-repo/semantics/article 2014 ftpubman https://doi.org/10.1007/s00382-014-2048-1 2024-07-31T09:31:27Z Interdecadal variability of observed winter precipitation in Southeast China (1961–2010) is characterized by the first empirical orthogonal function of the three-monthly Standardized Precipitation Index (SPI) subjected to a 9-year running mean. For interdecadal time scales the dominating spatial modes represent monopole features involving the Arctic Oscillation (AO) and the sea surface temperature (SST) anomalies. Dynamic composite analysis (based on NCEP/NCAR reanalyzes) reveals the following results: (1) Interdecadal SPI-variations show a trend from a dryer state in the 1970s via an increase during the 1980s towards stabilization on wetter conditions commencing with the 1990s. (2) Increasing wetness in Southeast China is attributed to an abnormal anticyclone over south Japan, with northward transport of warm and humid air from the tropical Pacific to South China. (3) In mid-to-high latitudes the weakened southward flow of polar airmasses induces low-level warming over Eurasia due to stronger AO by warmer zonal temperature advection. This indicates that AO is attributed to the Southeast China precipitation increase influenced by circulation anomalies over the mid-to-high latitudes. (4) The abnormal moisture transport along the southwestern boundary of the abnormal anticyclone over south Japan is related to anomalous south-easterlies modulated by the SST anomalies over Western Pacific Ocean; a positive (negative) SST anomaly will strengthen (weaken) warm and humid air transport, leading to abundant (reduced) precipitation in Southeast China. That is both AO and SST anomalies determine the nonlinear trend observed in winter precipitation over Southeast China. Article in Journal/Newspaper Arctic Max Planck Society: MPG.PuRe Arctic Pacific Climate Dynamics 43 7-8 2239 2248
institution Open Polar
collection Max Planck Society: MPG.PuRe
op_collection_id ftpubman
language English
description Interdecadal variability of observed winter precipitation in Southeast China (1961–2010) is characterized by the first empirical orthogonal function of the three-monthly Standardized Precipitation Index (SPI) subjected to a 9-year running mean. For interdecadal time scales the dominating spatial modes represent monopole features involving the Arctic Oscillation (AO) and the sea surface temperature (SST) anomalies. Dynamic composite analysis (based on NCEP/NCAR reanalyzes) reveals the following results: (1) Interdecadal SPI-variations show a trend from a dryer state in the 1970s via an increase during the 1980s towards stabilization on wetter conditions commencing with the 1990s. (2) Increasing wetness in Southeast China is attributed to an abnormal anticyclone over south Japan, with northward transport of warm and humid air from the tropical Pacific to South China. (3) In mid-to-high latitudes the weakened southward flow of polar airmasses induces low-level warming over Eurasia due to stronger AO by warmer zonal temperature advection. This indicates that AO is attributed to the Southeast China precipitation increase influenced by circulation anomalies over the mid-to-high latitudes. (4) The abnormal moisture transport along the southwestern boundary of the abnormal anticyclone over south Japan is related to anomalous south-easterlies modulated by the SST anomalies over Western Pacific Ocean; a positive (negative) SST anomaly will strengthen (weaken) warm and humid air transport, leading to abundant (reduced) precipitation in Southeast China. That is both AO and SST anomalies determine the nonlinear trend observed in winter precipitation over Southeast China.
format Article in Journal/Newspaper
author Zhang, L.
Zhu, X.
Fraedrich, K.
Sielmann, F.
Zhi, X.
spellingShingle Zhang, L.
Zhu, X.
Fraedrich, K.
Sielmann, F.
Zhi, X.
Interdecadal variability of winter precipitation in Southeast China
author_facet Zhang, L.
Zhu, X.
Fraedrich, K.
Sielmann, F.
Zhi, X.
author_sort Zhang, L.
title Interdecadal variability of winter precipitation in Southeast China
title_short Interdecadal variability of winter precipitation in Southeast China
title_full Interdecadal variability of winter precipitation in Southeast China
title_fullStr Interdecadal variability of winter precipitation in Southeast China
title_full_unstemmed Interdecadal variability of winter precipitation in Southeast China
title_sort interdecadal variability of winter precipitation in southeast china
publishDate 2014
url http://hdl.handle.net/11858/00-001M-0000-0015-1A3E-3
http://hdl.handle.net/11858/00-001M-0000-0026-DB38-4
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
genre_facet Arctic
op_source Climate Dynamics
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1007/s00382-014-2048-1
http://hdl.handle.net/11858/00-001M-0000-0015-1A3E-3
http://hdl.handle.net/11858/00-001M-0000-0026-DB38-4
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.1007/s00382-014-2048-1
container_title Climate Dynamics
container_volume 43
container_issue 7-8
container_start_page 2239
op_container_end_page 2248
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