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Development of cloud liquid water database using global cloud-system resolving model for GPM/DPR algorithm

机译:GPM / DPR算法全局云系统解析模型的云液水库的开发

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The JAXA-NASA Joint Algorithm Team has developed the Level 2 algorithm for Dual-frequency Precipitation Radar (DPR) onboard the Global Precipitation Measurement (GPM) core observatory, which will be launched in 2014. Correction method for attenuation by cloud liquid water (CLW) is one of future issues in the DPR algorithm. Recently, a 3.5km-mesh global simulation has been performed using a Nonhydrostatic ICosahedral Atmospheric Model (NICAM). The NICAM is a global cloud-system resolving model (GCRM), and explicitly calculates moist convection using a cloud microphysical scheme. In this work, vertical profiles of the CLW are classified with reference to temperatures and intensities of surface rain rate (SRR) using the NICAM data. Overall, the CLW amount tends to increase when the SRR increases. In the Tropics such as 15S-15N, clear peaks are found around 10–15 degrees Centigrade with small SRRs. This can be connected with shallow rainfall. In large SRRs, peaks are around the Freezing Level, which can be related to tall rainfall.
机译:JAXA-NASA联合算法团队已经开发了二次频率降水雷达(DPR)车载2级算法全局降水测量(GPM)核心天文台,该核心天文台将于2014年推出。由云液体水衰减的校正方法(CLW )是DPR算法的未来问题之一。最近,使用非水压icosaheDral大气模型(NiCAM)进行了3.5km-Mesh的全局模拟。 NICAM是全球云系统解决模型(GCRM),并用云微手术方案明确计算潮湿对流。在这项工作中,CLW的垂直简档将参考使用NICAM数据的表面雨率(SRR)的温度和强度进行分类。总的来说,当SRR增加时,CLW量趋于增加。在10秒-15N等热带地区,透明峰值左右10-15摄氏度,小型SRRS。这可以与浅降雨相连。在大型SRRS中,峰值围绕冻结水平,可与高降雨量有关。

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