首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Evaluation of soil moisture in the Florida State University climate model–National Center for Atmospheric Research community land model (FSU-CLM) using two reanalyses (R2 and ERA40) and in situ observations
【24h】

Evaluation of soil moisture in the Florida State University climate model–National Center for Atmospheric Research community land model (FSU-CLM) using two reanalyses (R2 and ERA40) and in situ observations

机译:评价土壤水分在佛罗里达州大学气候model-National中心大气研究社区土地模型(FSU-CLM)使用两个可利用(R2和ERA40)原位观察

获取原文
获取原文并翻译 | 示例
           

摘要

The simulated soil moisture from the Florida State University (FSU) climate model coupled to the National Center for Atmospheric Research community land model (CLM2) is evaluated using two reanalyses (the European Centre for Medium-Range Weather Forecasts 40-year Reanalysis (ERA40) and the National Centers for Environmental Prediction/Department of Energy Reanalysis 2 (R2)) and in situ observations in Illinois and China from the Global Soil Moisture Data Bank. While the soil moisture was prescribed in the previous FSU climate model, the implementation of the CLM2 within the FSU model (hereafter FSU-CLM) provides a prognostic soil moisture (both soil liquid water and soil ice) in 10 vertical layers. For the first layer (~0–10 cm) the comparison of the soil moisture annual cycle between the FSU-CLM and the two reanalyses shows that in the Northern Hemisphere (NH) the FSU-CLM and the ERA40 are in phase but they are out of phase with the R2. While a parameterization of the soil ice process is included in both the FSU-CLM and ERA40, it is not included in the R2. In this study, we found that the soil ice plays a key role in determining the soil moisture variation over the NH. The two reanalyses and the FSU-CLM are also compared with in situ observations. The FSU-CLM turns out to follow the annual cycle of the in situ observations better than both reanalyses.
机译:从佛罗里达州立模拟土壤水分大学(前苏联)的气候模型耦合国家大气研究中心社区土地模型(CLM2)评估使用两个可利用(欧洲中心中期天气预报40年的再分析(ERA40)和国家中心环境预测/能源部再分析2 (R2))和原位观测伊利诺斯州和中国从全球土壤水分数据银行。在前面的前苏联气候模型,实施CLM2在前苏联模式(以下FSU-CLM)提供了一种预测土壤土壤水分(包括土壤水和冰)10垂直层。厘米)一年一度的土壤水分进行了比较周期FSU-CLM和两个可利用表明,在北半球(NH)FSU-CLM和ERA40阶段但它们R2的阶段。土壤参数化冰过程包含在FSU-CLM和ERA40,事实并非如此包括在R2。土壤冰在决定中发挥着关键作用土壤水分变化在北半球。可利用和FSU-CLM也与之相比原位观察。按照年度周期的原位观察比都可利用。

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号