DOI: 10.1002/2016MS000845
Scopus记录号: 2-s2.0-85011312069
论文题名: Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2
作者: Saha S ; K ; , Sujith K ; , Pokhrel S ; , Chaudhari H ; S ; , Hazra A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 1 起始页码: 271
结束页码: 290
语种: 英语
英文关键词: Forecasting
; Multilayers
; Rain
; Snow melting systems
; Soils
; Surface measurement
; CFSv2
; Indian subcontinents
; Indian summer monsoon rainfall
; ISMR
; Land surface models
; National centers for environmental predictions
; Noah
; Snow water equivalent
; Snow
; forecasting method
; monsoon
; rainfall
; simulation
; snow cover
; snow water equivalent
; snowpack
; weather forecasting
; India
英文摘要: The Noah version 2.7.1 is a moderately complex land surface model (LSM), with a single layer snowpack, combined with vegetation and underlying soil layer. Many previous studies have pointed out biases in the simulation of snow, which may hinder the skill of a forecasting system coupled with the Noah. In order to improve the simulation of snow by the Noah, a multilayer snow scheme (up to a maximum of six layers) is introduced. As Noah is the land surface component of the Climate Forecast System version 2 (CFSv2) of the National Centers for Environmental Prediction (NCEP), the modified Noah is also coupled with the CFSv2. The offline LSM shows large improvements in the simulation of snow depth, snow water equivalent (SWE), and snow cover area during snow season (October to June). CFSv2 with the modified Noah reveals a dramatic improvements in the simulation of snow depth and 2 m air temperature and moderate improvements in SWE. As suggested in the previous diagnostic and sensitivity study, improvements in the simulation of snow by CFSv2 have lead to the reduction in dry bias over the Indian subcontinent (by a maximum of 2 mm d−1). The multilayer snow scheme shows promising results in the simulation of snow as well as Indian summer monsoon rainfall and hence this development may be the part of the future version of the CFS. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75810
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
There are no files associated with this item.
作者单位: Indian Institute of Tropical Meteorology, Pune, India; Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune, India
Recommended Citation:
Saha S,K,, Sujith K,et al. Effects of multilayer snow scheme on the simulation of snow: Offline Noah and coupled with NCEP CFSv2[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(1)