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Combining In Situ and Satellite Observations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment

机译:结合原位和卫星观测以了解TC4实验期间热带砧云微物理性质的垂直结构

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摘要

Tropical anvil clouds have a profound impact on Earth's weather and climate. Their role in Earth's energy balance and hydrologic cycle is heavily modulated by the vertical structure of the microphysical properties for various hydrometeors in these clouds and their dependence on the ambient environmental conditions. Accurate representations of the variability and covariability of such vertical structures are key to both the satellite remote sensing of cloud and precipitation and numerical modeling of weather and climate, which remain a challenge. This study presents a new method to combine vertically resolved observations from CloudSat radar reflectivity and Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation cloud masks with probability distributions of cloud microphysical properties and the ambient atmospheric conditions from detailed in situ measurements on tropical anvils sampled during the National Aeronautics and Space Administration TC4 (Tropical Composition, Cloud and Climate Coupling) mission. We focus on the microphysical properties of the vertical distribution of ice water content, particle size distributions, and effective sizes for different hydrometeors, including ice particles and supercooled liquid droplets. Results from this method are compared with those from in situ data alone and various CloudSat/Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation cloud retrievals. The sampling limitation of the field experiment and algorithm limitations in the current retrievals is highlighted, especially for the liquid cloud particles, while a generally good agreement with ice cloud microphysical properties is seen from different methods. While the method presented in this study is applied to tropical anvil clouds observed during TC4, it can be readily employed to study a broad range of ice clouds sampled by various field campaigns.
机译:热带砧云对地球的天气和气候产生深远影响。它们在地球能量平衡和水文循环中的作用受到这些云中各种水凝物的微物理性质的垂直结构及其对周围环境条件的依赖性的强烈调节。此类垂直结构的可变性和协变性的准确表示对于卫星遥感云和降水以及天气和气候的数值模拟都是至关重要的,这仍然是一个挑战。这项研究提出了一种新方法,该方法结合了CloudSat雷达反射率和Cloud-Aerosol Lidar和Infrared Pathfinder Satellite观测云遮罩的垂直分辨观测结果,以及通过对热带砧木进行详细现场测量得到的云微物理特性和周围大气状况的概率分布。国家航空航天局TC4(热带成分,云与气候耦合)任务。我们关注冰水含量,颗粒大小分布以及不同水凝物(包括冰颗粒和过冷液滴)的有效尺寸的垂直分布的微观物理特性。将该方法的结果与仅来自原位数据的结果以及各种CloudSat / Cloud-Aerosol激光雷达和红外Pathfinder卫星观测云检索结果进行了比较。着重强调了现场实验的采样限制和当前检索中的算法限制,尤其是对于液态云颗粒,而从不同方法可以看到与冰云微物理性质总体上很好的一致性。虽然本研究中介绍的方法适用于在TC4期间观测到的热带砧云,但它可以很容易地用于研究各种野外活动采样的广泛的冰云。

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