DOI: 10.1002/jgrd.50429
论文题名: Soil-moisture memory in the regional climate model COSMO-CLM during the Indian summer monsoon season
作者: Asharaf S. ; Ahrens B.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 12 起始页码: 6144
结束页码: 6151
语种: 英语
英文关键词: Autocorrelation
; Constant greenhouse gases simulation
; RCM
; Soil moisture
Scopus关键词: Autocorrelation
; Computer simulation
; Greenhouse gases
; Soil moisture
; Weather forecasting
; Constant greenhouse gases simulation
; Indian subcontinents
; Indian summer monsoon
; Lateral boundary conditions
; Ocean-atmosphere models
; Rainfall forecasting
; RCM
; Regional climate models
; Climate models
; air-sea interaction
; atmospheric forcing
; atmospheric modeling
; autocorrelation
; boundary condition
; climate modeling
; forecasting method
; greenhouse gas
; numerical model
; rainfall
; regional climate
; seasonality
; soil depth
; soil moisture
; India
英文摘要: Soil moisture memory over the Indian subcontinent was investigated on the basis of a 101 year long simulation with the regional climate model (RCM) COSMO-CLM (COSMO model in Climate Mode). The RCM was driven by lateral boundary conditions derived from a preindustrial control run of the coupled global ocean-atmosphere model ECHAM5/MPIOM. To prevent an external atmospheric forcing, the simulation was done with constant greenhouse gas concentrations. This provides an estimate of the internal variability of the (modeled) climate system. The analysis, which was performed for the Indian summer monsoon season (ISM), shows that simulated memory lengths (a) increase with soil depth, and (b) are longer in the western region than in the eastern region (14 and 9 days, respectively, at 34 cm soil layer depth). Also, the meridionally averaged (20°N-30°N) variance of subsequent precipitation explained by soil-moisture rises from east to west. This enhanced explained variance value in the western region reveals the potential usefulness of improved soil moisture initialization in subseasonal rainfall forecasting. Key Points Soil moisture memory in an unperturbed steady state (modeled) climate Longer soil moisture memory over the western than eastern part of India Memory lengths increase with soil depth © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63619
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
There are no files associated with this item.
作者单位: Institute for Atmospheric and Environmental Sciences, Goethe University, Altenhferallee 1, D-60438, Frankfurt am Main, Germany; Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
Recommended Citation:
Asharaf S.,Ahrens B.. Soil-moisture memory in the regional climate model COSMO-CLM during the Indian summer monsoon season[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(12)