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首页> 外文期刊>Pure and Applied Geophysics >Quality and Impact of Indian Doppler Weather Radar Wind Profiles: A Diagnostic Study
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Quality and Impact of Indian Doppler Weather Radar Wind Profiles: A Diagnostic Study

机译：印度多普勒天气雷达风廓线的质量和影响：诊断研究

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In the tropics, efficient weather forecasts require high-quality vertical profiles of winds to overcome improper coupling of mass and wind fields and balance relationships in the region. The India Meteorological Department (IMD) operates the network of Doppler Weather Radar (DWR) in microwave frequencies (S-band or C-band) at various locations in India. The National Centre for Medium Range Weather Forecasting (NCMRWF) receives the volume velocity processing (VVP) wind profiles from all DWRs through the Global Telecommunication System (GTS) network in near real time. The radar VVP wind is a mean horizontal wind derived at different heights from radial velocities suitable for numerical weather prediction applications. Three numerical experiments, CNTL (without VVP winds), 3DVAR and HYBRID with the assimilation of VVP winds by means of 3-dimensional variational (3dvar) and hybrid data assimilation systems were conducted using the NCMRWF Global Forecast System (NGFS) model. This study had two objectives: (1) quality assessment of VVP winds and (2) investigation of the impact of VVP wind profiles on NGFS model forecast. The quality of VVP wind profiles was assessed against the NGFS model background and radiosonde wind profiles. The absolute values of zonal and meridional wind observation minus background (O-B) increased with the pressure for all DWRs. All radars exhibited the accepted (rejected) ratio as a decreasing (increasing) function of pressure. The resemblance between the zonal and meridional O-B statistics for 3DVAR and HYBRID experiments is apparently remarkable. The accepted VVP winds and radiosonde winds in both experiments (3DVAR and HYBRID) were consistent. The correlation coefficient (R) was higher at Patna (Patiala) for zonal (meridional) winds in the 3DVAR experiment and at Patna (Jaipur) in the HYBRID experiment. At Chennai, the R value was lower in both the experiments for both wind components. However, because of the assimilation of VVP winds by means of 3dvar, the root-mean-square error (RMSE) of zonal and meridional winds improved by approximately 2-3% up to the day 5 forecast in the analysis performed below 700 hPa. Further improvement in RMSE by approximately 5% was observed in both the wind components because of the hybrid data assimilation. The zonal and meridional wind RMSEs in the HYBRID (3DVAR) experiment improved by ae5 (3)% compared with the 3DVAR (CNTL) experiment.
机译：在热带地区，有效的天气预报需要高质量的风垂直型材，以克服质量和风场的不正确耦合，并在该地区的平衡关系。印度气象部门（IMD）在印度各个地点的微波频率（S波段或C波段）中运营多普勒天气雷达（DWR）网络。国家中范围天气预报中心（NCMRWF）在近实时地通过全球电信系统（GTS）网络从所有DWR接收储速处理（VVP）风谱。雷达VVP风是从适合于数值天气预报应用的径向速度衍生在不同高度的平均水平风。使用NCMRWF全球预测系统（NGFS）模型进行三个数值实验，CNTL（不带VVP风），3DVAR和杂种，具有通过三维变分（3DVAR）和混合数据同化系统的vvp风的同化。本研究有两个目标：（1）VVP风质量评估和（2）对VVP风谱对NGFS模型预测的影响调查。对NGFS模型背景和无线电探空风廓线进行评估VVP风廓线的质量。 Zonal和子午线检测减去背景（O-B）的绝对值随着所有DWR的压力而增加。所有雷达都表现出可接受的（被拒绝的）比例作为压力的降低（增加）函数。 3DVAR和混合实验的区域和子午线统计数据之间的相似性显然是显着的。两种实验（3DVAR和杂种）的接受的VVP风和无线电探空风均一致。在混合实验中的3DVAR实验中的Zonal（Patalimate）和Patna（Jaipur）中的atna（Patiala）的相关系数（r）较高。在Chennai，r值均在两个风能组件的实验中较低。然而，由于VVP风通过3DVAR的同化，地区和子午线的根均方误差（RMSE）在700hPa下进行的分析中的第5天预测提高了大约2-3％。由于杂交数据同化，在风力分量中观察到RMSE的进一步改善约5％。与3DVAR（CNTL）实验相比，Hybrid（3DVAR）实验中的杂交（3DVAR）实验的Zonal和子午线rmses通过AE5（3）％。

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