Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data
Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data
复制标题
DOI：
10.1175/jhm533.1
复制
发表时间：
2004-05
影响因子：
3.8
通讯作者：
S. Seneviratne;R. Koster;Zhichang Guo;P. Dirmeyer;E. Kowalczyk;D. Lawrence;Ping Liu;D. Mocko;Cheng-Hsuan Lu;K. Oleson;D. Verseghy
中科院分区：
文献类型：
--
作者：
S. Seneviratne;R. Koster;Zhichang Guo;P. Dirmeyer;E. Kowalczyk;D. Lawrence;Ping Liu;D. Mocko;Cheng-Hsuan Lu;K. Oleson;D. Verseghy
摘要土壤水分记忆是陆气相互作用的一个重要方面，对季节预报具有重要意义。由于严重缺乏土壤水分观测在大多数大陆，现有的全球尺度土壤水分记忆的分析依赖于大气环流模式（AGCM）的实验，得出的结论可能是模型依赖。本研究是第一次调查研究和对比全球范围内（近）每月土壤水分记忆特性在广泛的AGCM。所研究的模拟，与八个不同的AGCM进行，产生的全球陆地-大气耦合实验的一部分。总体而言，AGCM呈现出相对相似的全球土壤水分记忆模式。异常值通常表现为异常的持水能力或辐射强迫的偏差。持水能力在所分析的AGCM之间存在很大差异，是造成模型间差异的主要因素。
Abstract Soil moisture memory is a key aspect of land–atmosphere interaction and has major implications for seasonal forecasting. Because of a severe lack of soil moisture observations on most continents, existing analyses of global-scale soil moisture memory have relied previously on atmospheric general circulation model (AGCM) experiments, with derived conclusions that are probably model dependent. The present study is the first survey examining and contrasting global-scale (near) monthly soil moisture memory characteristics across a broad range of AGCMs. The investigated simulations, performed with eight different AGCMs, were generated as part of the Global Land–Atmosphere Coupling Experiment. Overall, the AGCMs present relatively similar global patterns of soil moisture memory. Outliers are generally characterized by anomalous water-holding capacity or biases in radiation forcing. Water-holding capacity is highly variable among the analyzed AGCMs and is the main factor responsible for intermodel diffe...