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Using Super Rapid Scan Geostationary Satellite Data Derived Motion to Improve Understanding and Observation of the Dynamics of Deep Convection in the Atmosphere

机译：使用超快速扫描地球静止卫星数据来源的动作，以改善对大气中深度对流动态的理解和观察

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作者
Apke, Jason Merritt.;
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作者单位

The University of Alabama in Huntsville.;

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授予单位 The University of Alabama in Huntsville.;
学科
学位 Ph.D.
年度 2018
页码 222 p.
总页数 222
原文格式 PDF
正文语种 eng
中图分类 AAI10936653;
关键词
Atmospheric motion vectors; Deep convection; Divergence; Geostationary satellite; Super rapid scan; Vorticity;

机译：大气运动向量;深入对流;分歧;地静止卫星;超快速扫描;漩涡;

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专利

1. Analysis of Mesoscale Atmospheric Flows above Mature Deep Convection Using Super Rapid Scan Geostationary Satellite Data [J] . Apke Jason M., Mecikalski John R., Jewett Christopher P. Journal of Applied Meteorology and Climatology . 2016,第9期

机译：利用超快速扫描对地静止卫星数据分析成熟深对流上方的中尺度大气流
2. Detection of rapidly developing convection using rapid scan data from a geostationary satellite [J] . Liu Jia, Liu Chuancai, Gu Xingjian, Remote sensing letters . 2015,第7a9期

机译：利用对地静止卫星的快速扫描数据检测快速发展的对流
3. Characterizing tropical overshooting deep convection from joint analysis of CloudSat and geostationary satellite observations [J] . Hanii Takahashi, Zhengzhao Johnny Luo Journal of Geophysical Research, D. Atmospheres: JGR . 2014,第1期

机译：通过CloudSat和对地静止卫星观测的联合分析来表征热带超调深对流
4. Validation of Convective Initiation and Character Prediction Using Geostationary Operational Environmental Satellites (GOES) Derived Convective Initiation Scores with Radar Derived Winds [C] . Leslie Litten, John Mecikalski, Kristopher Bedka Huntsville Simulation Conference . 2006

机译：利用地球静止运营环境卫星（GUES）与雷达导出的风相源自对流发起和性格预测的验证
5. Retrieval of convective momentum fluxes using geostationary satellite data [D] . Jewett, Christopher 2011

机译：利用地静止卫星数据检索对流动量助势
6. Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea [O] . Jong-Min Yeom, Seonyoung Park, Taebyeong Chae, 2019

机译：利用COMS MI对地静止卫星提供的数据通过机器学习和深度神经网络模型对太阳辐射进行空间评估：以韩国为例
7. Relationships between Deep Convection Updraft Characteristics and Satellite-Based Super Rapid Scan Mesoscale Atmospheric Motion Vector–Derived Flow [O] . Jason M. Apke, John R. Mecikalski, Kristopher Bedka, 2018

机译：深度对流上升特性与卫星基于卫星超快速扫描Mescle大气运动载体衍生流程的关系
8. Convective and Dynamical Instabilities due to Gravity Wave Motions in the Lower and Middle Atmosphere: Theory and Observations [R] . Fritts, D. C., Rastogi, P. K. 1985

机译：由于中低层大气中的重力波运动引起的对流和动力不稳定性：理论和观测

Using Super Rapid Scan Geostationary Satellite Data Derived Motion to Improve Understanding and Observation of the Dynamics of Deep Convection in the Atmosphere

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