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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models
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A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models

机译:一个简单的TOPMODEL-based径流参数化(SIMTOP)用于全球气候模型

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This paper develops a simple TOPMODEL-based runoff parameterization (hereinafter SIMTOP) for use in global climate models (GCMs) that improves the runoff production and the partitioning of runoff between surface and subsurface components. SIMTOP simplifies the TOPMODEL runoff formulations in two ways: (1) SIMTOP represents the discrete distribution of the topographic index as an exponential function, not as a three-parameter gamma distribution; this change improves the parameterization of the fractional saturated area, especially in mountainous regions. (2) SIMTOP treats subsurface runoff as a product of an exponential function of the water table depth and a single coefficient, not as a product of several parameters that depend on topography and soil properties; this change facilitates applying TOPMODEL-based runoff schemes on global scale. SIMTOP is incorporated into the National Center for Atmospheric Research (NCAR) Community Land Model version 2.0 (CLM 2.0). SIMTOP is validated at a watershed scale using data from the Sleepers River watershed in Vermont, USA. It is also validated on a global scale using the monthly runoff data from the University of New Hampshire Global Runoff Data Center (UNH-GRDC). SIMTOP performs favorably when compared to the baseline runoff formulation used in CLM2.0. Realistic simulations can be obtained using two distinct saturated hydraulic conductivity (K sat ) profiles. These profiles include (1) exponential decay of K sat with depth (as is typically done in TOPMODEL-based runoff schemes) and (2) the definition of K sat using the soil texture profile data (as is typically done in climate models) and the concordant reduction of the gravitational drainage from the bottom of the soil column.
机译:在本文中,我们提供了一个简单TOPMODEL-based决选参数化(以下简称SIMTOP)使用改善全球气候模型(GCMs)径流生产和径流的分区表层和次表层的组件之间。简化了TOPMODEL径流配方两种方式:(1)SIMTOP代表离散分布的地形指数作为一个指数函数,而不是一个带三个参数伽马分布;参数化的部分饱和地区,特别是山区。SIMTOP对地下径流的产物地下水位深度的指数函数和一个系数,而不是产品几个参数,取决于地形、土壤属性;TOPMODEL-based径流计划在全球范围内。SIMTOP纳入国家中心大气研究中心(NCAR)社区的土地2.0模型版本2.0 (CLM)。在流域范围内使用睡眠者的数据美国佛蒙特州河流域。在全球范围内使用每月进行验证从新罕布什尔大学径流数据全球径流数据中心(UNH-GRDC)。执行有利与基线相比径流CLM2.0中使用的配方。使用两个不同的模拟可以获得饱和渗透系数(K)坐配置文件。衰变的K(通常是坐着深度在TOPMODEL-based径流)和(2)计划使用土壤质地K坐的定义配置文件数据(通常是气候模型)和整合的减少从底部的重力排水土壤柱。

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