DOI: 10.1002/2014GL060089
论文题名: Uncertainty resulting from multiple data usage in statistical downscaling
作者: Kannan S. ; Ghosh S. ; Mishra V. ; Salvi K.
刊名: Geophysical Research Letters
ISSN: 0094-10577
EISSN: 1944-10308
出版年: 2014
卷: 41, 期: 11 起始页码: 4013
结束页码: 4019
语种: 英语
英文关键词: climate change
; Indian monsoon
; Statistical downscaling
; uncertainty
Scopus关键词: Climate change
; Climate models
; Wind
; General circulation model
; Indian monsoon
; Indian summer monsoon rainfall
; Model calibration
; Regional climate projections
; Statistical downscaling
; Statistical relationship
; uncertainty
; Rain
; climate modeling
; data acquisition
; general circulation model
; monsoon
; simulation
; statistical analysis
; uncertainty analysis
; India
英文摘要: Statistical downscaling (SD), used for regional climate projections with coarse resolution general circulation model (GCM) outputs, is characterized by uncertainties resulting from multiple models. Here we observe another source of uncertainty resulting from the use of multiple observed and reanalysis data products in model calibration. In the training of SD, for Indian Summer Monsoon Rainfall (ISMR), we use two reanalysis data as predictors and three gridded data products for ISMR from different sources. We observe that the uncertainty resulting from six possible training options is comparable to that resulting from multiple GCMs. Though the original GCM simulations project spatially uniform increasing change of ISMR, at the end of 21st century, the same is not obtained with SD, which projects spatially heterogeneous and mixed changes of ISMR. This is due to the differences in statistical relationship between rainfall and predictors in GCM simulations and observed/reanalysis data, and SD considers the latter. © 2014. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901891621&doi=10.1002%2f2014GL060089&partnerID=40&md5=63840ec4601fd06a6ef0748b2d97df55
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7841
Appears in Collections: 气候减缓与适应
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作者单位: Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, India
Recommended Citation:
Kannan S.,Ghosh S.,Mishra V.,et al. Uncertainty resulting from multiple data usage in statistical downscaling[J]. Geophysical Research Letters,2014-01-01,41(11).