Ensemble Evaluation of Hydrologically Enhanced Noah-LSM: Partitioning of the Water Balance in High-Resolution Simulations over the Little Washita River Experimental Watershed

Ensemble Evaluation of Hydrologically Enhanced Noah-LSM: Partitioning of the Water Balance in High-Resolution Simulations over the Little Washita River Experimental Watershed
复制标题

DOI:
10.1175/2010jhm1228.1
复制
发表时间:
2011-02
影响因子:
3.8
通讯作者:
Enrique Rosero;Lindsey E. Gulden;Zong‐Liang Yang;L. G. G. Gonçalves-L.-G.-G.-Gonçalves-2150577876;G. Niu;Y. Kaheil
Enrique Rosero;Lindsey E. Gulden;Zong‐Liang Yang;L. G. G. Gonçalves-L.-G.-G.-Gonçalves-2150577876;G. Niu;Y. Kaheil
中科院分区:
地球科学2区
文献类型:
--
作者:
Enrique Rosero;Lindsey E. Gulden;Zong‐Liang Yang;L. G. G. Gonçalves-L.-G.-G.-Gonçalves-2150577876;G. Niu;Y. Kaheil

文献摘要

被引文献

相似文献

摘要评价了两个版本的诺亚陆面模式(LSM)模拟小沃希托河实验流域水循环的能力。一个版本,使用诺亚2.7(STD)的标准水文参数化相比,另一个版本,取代STD的地下水文与一个简单的含水层模型和地形相关的地表和地下径流参数化(GW)。在精细分辨率的分布式网格上的模拟进行了比较,观测到的日平均径流的长期分布,观测到的土壤水分的空间统计,和当地观测到的潜热通量。评估的目标是使用现实的,接近最佳的径流重要参数集的模型集合的典型行为。STD和GW高估了径流蒸散比。在STD和GW运行的子集,最好地再现的时间和流量,表面到地下径流比被高估,模拟径流。
Abstract The ability of two versions of the Noah land surface model (LSM) to simulate the water cycle of the Little Washita River experimental watershed is evaluated. One version that uses the standard hydrological parameterizations of Noah 2.7 (STD) is compared another version that replaces STD’s subsurface hydrology with a simple aquifer model and topography-related surface and subsurface runoff parameterizations (GW). Simulations on a distributed grid at fine resolution are compared to the long-term distribution of observed daily-mean runoff, the spatial statistics of observed soil moisture, and locally observed latent heat flux. The evaluation targets the typical behavior of ensembles of models that use realistic, near-optimal sets of parameters important to runoff. STD and GW overestimate the ratio of runoff to evapotranspiration. In the subset of STD and GW runs that best reproduce the timing and the volume of streamflow, the surface-to-subsurface runoff ratio is overestimated and simulated streamfl...