5:15 PM - 6:45 PM
[AAS01-P08] Utilizing Doppler Velocity from Cloud Radar on the Ground and EarthCARE-like Data for Global Storm-Resolving Model Evaluation
Keywords:EarthCARE, Global storm-resolving model , Satellite simulator, Doppler velocity from a cloud radar
EarthCARE, equipped with a suite of passive and active sensors, including Cloud Profiling Radar (CPR), Atmospheric LIDar (ATLID), Multi-Spectral Imager (MSI), and Broad Band Radiometer (BBR), is designed for comprehensive studies of clouds, aerosols, precipitation, and their radiation impact. The CPR's Doppler capability is crucial for assessing the terminal velocity of rain and ice particles and for understanding convective motions.
Global storm-resolving models (GSRMs, Satoh et al. 2019; Stevens et al. 2019) have been used to generate detailed simulations of mesoscale convective systems using a kilometer-scale horizontal grid. New observations, such as Doppler velocity from EarthCARE, will provide insights into the evaluation and improvement of GSRMs.
Ground remote sensing observation data are relatively concentrated in metropolitan areas due to disaster prevention needs. The ULTra-sIte for Measuring the Atmosphere of the Tokyo metropolitan Environment (ULTIMATE, Satoh et al. 2022) project is proposed to use these intensive observation data in the Tokyo area, along with satellite observations, to evaluate and improve the cloud microphysics schemes of numerical models and to validate the EarthCARE satellite. Before the launch of the satellite, it is necessary to evaluate a numerical model using ground observations with a similar setting to the EarthCARE cloud radar. This study presents evaluation results for cloud microphysics in the global non-hydrostatic model NICAM using the 94 GHz cloud radar on the ground (Roh et al. 2023). We interpret observed and simulated Doppler velocity to understand clouds and precipitation. We investigated the expected evaluation results with EarthCARE-like simulations. We discuss how to evaluate and improve a GSRM using data from EarthCARE.
Global storm-resolving models (GSRMs, Satoh et al. 2019; Stevens et al. 2019) have been used to generate detailed simulations of mesoscale convective systems using a kilometer-scale horizontal grid. New observations, such as Doppler velocity from EarthCARE, will provide insights into the evaluation and improvement of GSRMs.
Ground remote sensing observation data are relatively concentrated in metropolitan areas due to disaster prevention needs. The ULTra-sIte for Measuring the Atmosphere of the Tokyo metropolitan Environment (ULTIMATE, Satoh et al. 2022) project is proposed to use these intensive observation data in the Tokyo area, along with satellite observations, to evaluate and improve the cloud microphysics schemes of numerical models and to validate the EarthCARE satellite. Before the launch of the satellite, it is necessary to evaluate a numerical model using ground observations with a similar setting to the EarthCARE cloud radar. This study presents evaluation results for cloud microphysics in the global non-hydrostatic model NICAM using the 94 GHz cloud radar on the ground (Roh et al. 2023). We interpret observed and simulated Doppler velocity to understand clouds and precipitation. We investigated the expected evaluation results with EarthCARE-like simulations. We discuss how to evaluate and improve a GSRM using data from EarthCARE.