Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/2013MS000251 |
A sampling method for improving the representation of spatially varying precipitation and soil moisture using the Simple Biosphere Model | |
Medina, Isaac D.1; Denning, A. Scott1; Baker, Ian T.1; Ramirez, Jorge A.2; Randall, David A.1 | |
通讯作者 | Medina, Isaac D. |
来源期刊 | JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
![]() |
ISSN | 1942-2466 |
出版年 | 2014 |
卷号 | 6期号:1页码:9-20 |
英文摘要 | Representing spatially varying precipitation for current grid length scales used in General Circulation Models (GCMs) is a continuing challenge. Furthermore, to fully capture the hydrologic effects of nonuniform precipitation, a representation of soil moisture heterogeneity and distribution of spatially varying precipitation must exist within the same framework. For this study, the explicit and sampling methods of Sellers et al. (2007) are tested off-line using the Simple Biosphere Model (SiB3) in an arid, semiarid, and wet site, and are numerically compared to the bulk method, which is currently used in GCMs. To carry out the numerical experiments, an arbitrary grid area was defined by (1) a single instance of SiB3 (bulk method), (2) 100 instances of SiB3 (explicit method), and (3) less than 100 instances of SiB3 (sampling method). Precipitation was randomly distributed over fractions of the grid area for the explicit and sampling methods, while the standard SiB3 exponential distribution relating precipitation intensity to the grid area wet fraction was used in the bulk method. Comparing the sampling and bulk method to the explicit method indicates that 10 instances of SiB3 in the sampling method better captures the spatial variability in soil moisture and grid area flux calculations produced by the explicit method, and deals realistically with spatially varying precipitation at little additional computational cost to the bulk method. |
英文关键词 | land atmosphere heterogeneity spatially varying precipitation |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000334866700002 |
WOS关键词 | SURFACE PARAMETERIZATION SIB2 ; ATMOSPHERE COUPLING EXPERIMENT ; GENERAL-CIRCULATION MODELS ; TROPICAL DEFORESTATION ; STOMATAL CONDUCTANCE ; HETEROGENEITY ; GCMS ; CO2 ; PHOTOSYNTHESIS ; VARIABILITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
来源机构 | Colorado State University |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/182853 |
作者单位 | 1.Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA; 2.Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA |
推荐引用方式 GB/T 7714 | Medina, Isaac D.,Denning, A. Scott,Baker, Ian T.,et al. A sampling method for improving the representation of spatially varying precipitation and soil moisture using the Simple Biosphere Model[J]. Colorado State University,2014,6(1):9-20. |
APA | Medina, Isaac D.,Denning, A. Scott,Baker, Ian T.,Ramirez, Jorge A.,&Randall, David A..(2014).A sampling method for improving the representation of spatially varying precipitation and soil moisture using the Simple Biosphere Model.JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,6(1),9-20. |
MLA | Medina, Isaac D.,et al."A sampling method for improving the representation of spatially varying precipitation and soil moisture using the Simple Biosphere Model".JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS 6.1(2014):9-20. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。