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Simulation of wet and dry West African monsoon rainfall seasons using the Weather Research and Forecasting model

机译:使用天气研究和预测模型仿真湿旱地非洲季风降雨季节

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This paper presents an evaluation of the Weather Research and Forecasting (WRF) model in simulating wet and dry West African monsoon (WAM) rainfall seasons. Three model experiments with varying selected microphysics (MP), cumulus convection (CU), and planetary boundary layer (PBL) schemes based on previous study were performed. Each of the model combinations is used to run four WAM seasons that consist of two wet (2008 and 2010) and two dry years (2001 and 2011). To investigate the behavior of WAM in the context of wet and dry years, the four seasons were used to compute composites of wet and dry WAM seasons in terms of rainfall amount. The analyses majorly focus on the rainfall composites relative to rainfall from Global Precipitation Climatology Project (GPCP) and Tropical Rainfall Measurement Mission (TRMM) as well as temperature, moisture, and atmospheric circulation fields with respect to NCEP reanalyses. This study documents significant sensitivity in simulation of the West African monsoon to the choices of the MP, CU, and PBL schemes. The simulation with the combination of WRF single moment 5 (WSM5) MP, Yonsei University (YSU) PBL, and new Simplified Arakawa-Schubert CU (WSM5-YSU-nSAS) shows good spatial distribution pattern of rainfall and the dynamics associated with the monsoon. Quantitatively, the combination shows less agreement in distinguishing the selected WAM seasons compared with the Goddard MP, Mellor-Yamada-Janjic PBL, and Betts-Miller-Janji CU (GD-MYJ-BMJ) and the WSM5, Mellor-Yamada-Nakanishi-Niino 2.5 level and new Tiedtke CU (WSM5-MYNN-nTDK). Also, the dynamical structures of the wet and dry WAM circulation composites are reasonably reproduced in GD-MYJ-BMJ and WSM5-YSU-nSAS. The GD-MYJ-BMJ was able to distinguish between wet and dry years and thus underscores its potential to reproduce climate change signals in future work.
机译:本文介绍了模拟湿和干旱西非季风(WAM)降雨季节的天气研究和预测(WRF)模型的评估。进行三种模型实验,具有不同选定的微物质(MP),积云对流(Cu)和基于先前研究的行星边界层(PBL)方案。每个模型组合用于运行四个WAM季节,该季节由两个潮湿(2008和2010)和两个干燥年(2001和2011)组成。为了调查WAM在潮湿和干旱的背景下的行为,四季用于计算湿润的潮湿季节的复合材料,降雨量。该分析主要关注降雨复合材料,相对于全球降水量(GPCP)和热带降雨量测量任务(TRMM)以及关于NCEP Reanalyses的温度,水分和大气循环场的降雨。本研究文献对西非季风模拟到MP,Cu和PBL计划的选择的显着灵敏度。随着WRF单力5(WSM5)MP,Yonsi大学(YSU)PBL的组合的模拟,以及新的简化Arakawa-Schubert Cu(WSM5-YSU-NSAS)显示了良好的降雨量和与季风相关的动力学。定量上,与戈达德MP,MELLOR-YAMADA-JANJIC PBL和BETTS-MILLER-JANJI CU(GD-MYJ-BMJ)和WSM5,MELLOR-YAMADA-NAKISHIS(MELLOR-YAMADA-NAKISHI)相比,该组合在区分所选的WAM季节方面的协议较少。尼诺2.5级和新的Tiedtke Cu(WSM5-MyNN-NTDK)。而且,在GD-MYJ-BMJ和WSM5-YSU-NSA中合理再现湿和干扰WAM循环复合材料的动态结构。 GD-MyJ-BMJ能够区分潮湿和干燥的年,因此强调其在未来工作中重现气候变化信号的可能性。

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  • 来源
    《Theoretical and applied climatology 》 |2019年第4期| 1679-1694| 共16页
  • 作者单位

    Fed Univ Technol Akure West African Sci Serv Ctr Climate Change & Adapte Akure Nigeria|Natl Ctr Atmospher Res Mesoscale & Microscale Meteorol Lab POB 3000 Boulder CO 80307 USA;

    Fed Univ Technol Akure West African Sci Serv Ctr Climate Change & Adapte Akure Nigeria;

    Natl Ctr Atmospher Res Mesoscale & Microscale Meteorol Lab POB 3000 Boulder CO 80307 USA;

    Fed Univ Technol Akure West African Sci Serv Ctr Climate Change & Adapte Akure Nigeria;

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