DOI: 10.1175/JCLI-D-13-00310.1
Scopus记录号: 2-s2.0-84899088235
论文题名: Representing variability in subgrid snow cover and snow depth in a global land model: Offline validation
作者: Nitta T. ; Yoshimura K. ; Takata K. ; O'ishi R. ; Sueyoshi T. ; Kanae S. ; Oki T. ; Abe-Ouchi A. ; Liston G.E.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期: 9 起始页码: 3318
结束页码: 3330
语种: 英语
Scopus关键词: Atmospheric temperature
; Radiometers
; Satellite imagery
; Snow melting systems
; Hydrological properties
; Land surface modeling
; Log-normal distribution
; Moderate resolution imaging spectroradiometer
; Northern Hemispheres
; Off-line simulations
; Snow water equivalent
; Surface temperatures
; Snow
; energy budget
; modeling
; MODIS
; Northern Hemisphere
; simulation
; snow cover
; snow water equivalent
; surface temperature
英文摘要: Subgrid snow cover is one of the key parameters in global land models since snow cover has large impacts on the surface energy and moisture budgets, and hence the surface temperature. In this study, the Subgrid Snow Distribution (SSNOWD) snow cover parameterization was incorporated into the Minimal Advanced Treatments of Surface Interaction and Runoff (MATSIRO) land surface model. SSNOWD assumes that the subgrid snow water equivalent (SWE) distribution follows a lognormal distribution function, and its parameters are physically derived from geoclimatic information. Two 29-yr global offline simulations, with and without SSNOWD, were performed while forced with the Japanese 25-yr Reanalysis (JRA-25) dataset combined with an observed precipitation dataset. The simulated spatial patterns of mean monthly snow cover fraction were compared with satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) observations. The snow cover fraction was improved by the inclusion of SSNOWD, particularly for the accumulation season and/or regions with relatively small amounts of snowfall; snow cover fraction was typically underestimated in the simulation without SSNOWD. In the Northern Hemisphere, the daily snow-covered area was validated using Interactive Multisensor Snow and Ice Mapping System (IMS) snow analysis datasets.In the simulation with SSNOWD, snow-covered area largely agreed with the IMS snow analysis and the seasonal cycle in the Northern Hemisphere was improved. This was because SSNOWD formulates the snow cover fraction differently for the accumulation season and ablation season, and represents the hysteresis of the snow cover fraction between different seasons. The effects of including SSNOWD on hydrological properties and snow mass were also examined. © 2014 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51297
Appears in Collections: 气候变化事实与影响
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作者单位: National Institute of Polar Research, Tokyo, Japan; Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba, Japan; National Institute for Environmental Studies, Ibaraki, Japan; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan; Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Tokyo, Japan; Institute of Industrial Science, The University of Tokyo, Tokyo, Japan; Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort ollins, CO, United States
Recommended Citation:
Nitta T.,Yoshimura K.,Takata K.,et al. Representing variability in subgrid snow cover and snow depth in a global land model: Offline validation[J]. Journal of Climate,2014-01-01,27(9)