DOI: 10.1002/2015GL064139
论文题名: Assessing the relative influence of surface soil moisture and ENSO SST on precipitation predictability over the contiguous United States
作者: Yoon J.-H. ; Leung L.R.
刊名: Geophysical Research Letters
ISSN: 0094-8659
EISSN: 1944-8390
出版年: 2015
卷: 42, 期: 12 起始页码: 5005
结束页码: 5013
语种: 英语
英文关键词: ENSO
; land-atmosphere interaction<
; seasonal prediction
; soil moisture
; soil moisture memory
Scopus关键词: Atmospheric pressure
; Atmospheric temperature
; Climate models
; Climatology
; Evapotranspiration
; Moisture
; Oceanography
; Rain
; Soils
; Surface measurement
; Surface waters
; Antecedent soil moisture
; ENSO
; Land atmosphere interaction
; Land surface modeling
; Land-atmosphere couplings
; Sea surface temperature (SST)
; Seasonal precipitations
; Seasonal prediction
; Soil moisture
; air-soil interaction
; assessment method
; climate modeling
; El Nino-Southern Oscillation
; evapotranspiration
; land surface
; precipitation (climatology)
; prediction
; sea surface temperature
; seasonal variation
; soil moisture
; United States
英文摘要: This study assesses the relative influence of soil moisture memory and tropical sea surface temperature (SST) in seasonal rainfall over the contiguous United States. Using observed precipitation, the NINO3.4 index, and soil moisture and evapotranspiration simulated by a land surface model for 61 years, analysis was performed using partial correlations to evaluate to what extent land surface and SST anomaly of El Niño-Southern Oscillation (ENSO) can affect seasonal precipitation over different regions and seasons. Results show that antecedent soil moisture is as important as concurrent ENSO condition in controlling rainfall anomalies over the U.S., but they generally dominate in different seasons with SST providing more predictability during winter while soil moisture, through its linkages to evapotranspiration and snow water, has larger influence in spring and early summer. The proposed methodology is applicable to climate model outputs to evaluate the intensity of land-atmosphere coupling and its relative importance. © 2015. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948717965&doi=10.1002%2f2015GL064139&partnerID=40&md5=6a6a8e20ee7a7952e70b2970d9c0b9b6
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8275
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Pacific Northwest National Laboratory, Richland, WA, United States
Recommended Citation:
Yoon J.-H.,Leung L.R.. Assessing the relative influence of surface soil moisture and ENSO SST on precipitation predictability over the contiguous United States[J]. Geophysical Research Letters,2015-01-01,42(12).