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Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX)
Atmospheric Measurement Techniques ( IF 3.8 ) Pub Date : 2020-08-21 , DOI: 10.5194/amt-13-4521-2020 F. Joseph Turk , Svetla Hristova-Veleva , Stephen L. Durden , Simone Tanelli , Ousmane Sy , G. David Emmitt , Steve Greco , Sara Q. Zhang
Atmospheric Measurement Techniques ( IF 3.8 ) Pub Date : 2020-08-21 , DOI: 10.5194/amt-13-4521-2020 F. Joseph Turk , Svetla Hristova-Veleva , Stephen L. Durden , Simone Tanelli , Ousmane Sy , G. David Emmitt , Steve Greco , Sara Q. Zhang
The mechanisms linking convection and cloud dynamical
processes are major factors in much of the uncertainty in both weather and
climate prediction. Further constraining the uncertainty in convective cloud
processes linking 3-D air motion and cloud structure through models and
observations is vital for improvements in weather forecasting and
understanding limits on atmospheric predictability. To date, there have been
relatively few airborne observations specifically targeted for linking the
3-D air motion surrounding developing clouds to the subsequent development
(or nondevelopment) of convective precipitation. During the MayâJune 2017
Convective Processes Experiment (CPEX), NASA DC-8-based airborne
observations were collected from the JPL Ku- and Ka-band Airborne Precipitation
Radar (APR-2) and the 2âµm Doppler Aerosol Wind (DAWN) lidar during
approximately 100âh of flight. For CPEX, the APR-2 provided the vertical air
motion and structure of the cloud systems in nearby precipitating regions
where DAWN is unable to sense. Conversely, DAWN sampled vertical wind
profiles in aerosol-rich regions surrounding the convection but is unable
to sense the wind field structure within most clouds. In this paper,
the complementary nature of these data are presented from the 10â11Â June
flight dates, including the APR-2 precipitation structure and Doppler wind
fields as well as adjacent wind profiles from the DAWN data.
中文翻译:
2017年对流过程实验(CPEX)中APR-2降水雷达和DAWN多普勒风激光雷达对流结构的联合分析
对流和云动力学过程之间的联系机制是天气和气候预测中许多不确定性的主要因素。通过模型和观测值进一步限制将3D空气运动和云结构联系起来的对流云过程的不确定性对于改进天气预报和了解大气可预测性的限制至关重要。迄今为止,几乎没有专门针对将围绕发展中的云的3D空气运动与对流降水的后续发展(或不发展)联系起来的机载观测。在2017年5月的对流过程实验(CPEX)期间,从JPL Ku和Ka波段机载降水雷达(APR-2)和2A收集了基于NASA DC-8的机载观测资料。µ在飞行约100小时的过程中,m多普勒气溶胶风(DAWN)激光雷达。对于CPEX,APR-2在DAWN无法感知的附近降水区域中提供了垂直空气运动和云系统的结构。相反,DAWN在对流周围富含气溶胶的区域采样了垂直风廓线,但无法感知大多数云层中的风场结构。在本文中,这些数据的互补性是从6月10日至11日的飞行日期中得出的,包括APR-2降水结构和多普勒风场以及DAWN数据中的邻近风廓线。
更新日期:2020-08-21
中文翻译:
2017年对流过程实验(CPEX)中APR-2降水雷达和DAWN多普勒风激光雷达对流结构的联合分析
对流和云动力学过程之间的联系机制是天气和气候预测中许多不确定性的主要因素。通过模型和观测值进一步限制将3D空气运动和云结构联系起来的对流云过程的不确定性对于改进天气预报和了解大气可预测性的限制至关重要。迄今为止,几乎没有专门针对将围绕发展中的云的3D空气运动与对流降水的后续发展(或不发展)联系起来的机载观测。在2017年5月的对流过程实验(CPEX)期间,从JPL Ku和Ka波段机载降水雷达(APR-2)和2A收集了基于NASA DC-8的机载观测资料。µ在飞行约100小时的过程中,m多普勒气溶胶风(DAWN)激光雷达。对于CPEX,APR-2在DAWN无法感知的附近降水区域中提供了垂直空气运动和云系统的结构。相反,DAWN在对流周围富含气溶胶的区域采样了垂直风廓线,但无法感知大多数云层中的风场结构。在本文中,这些数据的互补性是从6月10日至11日的飞行日期中得出的,包括APR-2降水结构和多普勒风场以及DAWN数据中的邻近风廓线。