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Hydrological issues in lateral boundary conditions for regional climate modeling: simulation of east asian summer monsoon in 1998

机译:区域气候模拟的侧向边界条件中的水文问题:1998年东亚夏季风的模拟

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摘要

The atmospheric branch of the hydrological cycle associated with the East Asian summer monsoon is intricate due to its distinct land-sea configurations: the highest mountains are to its west, the oceans are to its south and east, and mid-latitude influences come from its north. Here we use the weather research and forecast (WRF) model to demonstrate that using two different large-scale driving fields, derived from the NCEP/DOE R2 and ERA40 reanalysis data and the same model configuration yielded remarkable differences. We found that the differences are primarily caused by uncertainties in the water vapor influx across the lateral boundaries in the reanalyses. The summer-mean water vapor convergence into the model domain computed from the ERA40 reanalysis is 47% higher than that from the R2 reanalysis. The largest uncertainties in moisture transport are found in the regions of the Philippine Sea and the Bay of Bengal, where the moisture transport has the most significant impacts on the East Asian summer monsoon rainfall distribution. The sensitivity test results suggest that the biases in the seasonal mean, seasonal march of the rain band, and individual rainfall events may be reduced by using an "ensemble" average of R2 and ERA40 as lateral boundary forcing. While the large-scale forcing field does not conserve water vapor, the WRF simulation conserves water vapor in the inner model domain. The regional model simulation has corrected the biases in the total amount and the month-to-month distribution of precipitation in the large-scale driving field. However, RCM's daily precipitation is poorer than that in the reanalysis filed. Since the RCM solutions may sensitively depend on the reanalysis forcing, inter-comparison of models' performance based on a single set of the reanalysis may not be reliable. This calls for attention to reshape our strategy for validation of RCMs.
机译:与东亚夏季风有关的水文循环的大气分支由于其独特的陆海构造而错综复杂:最高的山脉在其西部,海洋在其南部和东部,中纬度的影响来自其北。在这里,我们使用天气研究和预报(WRF)模型来证明,使用从NCEP / DOE R2和ERA40再分析数据得出的两个不同的大规模驾驶场,以及相同的模型配置会产生显着差异。我们发现差异主要是由再分析中跨横向边界的水蒸气流入的不确定性引起的。通过ERA40再分析计算得出的夏季平均水汽收敛到模型域中比从R2再分析计算得出的要高47%。水分输送的最大不确定性发生在菲律宾海和孟加拉湾地区,这些地区的水分输送对东亚夏季风季风雨量分布的影响最大。敏感性测试结果表明,通过使用R2和ERA40的“合计”平均值作为横向边界强迫,可以减少季节性平均值,雨带的季节性进行和个别降雨事件的偏差。虽然大型强迫场不保留水蒸气,但WRF模拟在内部模型域中保留水蒸气。区域模型模拟已经纠正了大规模驱动领域中降水总量和逐月分布的偏差。但是,RCM的日降水量比重新分析的要差。由于RCM解决方案可能敏感地依赖于重新分析强制,因此基于单个重新分析集的模型性能的相互比较可能并不可靠。这需要引起注意,以重塑我们的RCM验证策略。

著录项

  • 来源
    《Climate dynamics》 |2008年第4期|p.477-490|共14页
  • 作者

    Bin Wang; Hongwei Yang;

  • 作者单位

    International Pacific Research Center and Department of Meteorology, School of Ocean and Earth Science and Technology, University of Hawaii, Honolulu, HI 96822, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
  • 关键词

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