Arid
DOI10.1002/2013MS000251
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
ISSN1942-2466
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.
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