RaInCube: a proposed constellation of atmospheric profiling radars in cubesat

Z. Haddad, E. Peral, S. Tanelli, O. Sy, G. Stephens
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引用次数: 7

Abstract

Numerical climate and weather models depend on measurements from space-borne satellites to complete model validation and improvements. Precipitation profiling capabilities are currently limited to a few instruments deployed in Low Earth Orbit (LEO), which cannot provide the temporal resolution necessary to observe the evo- lution of short time-scale weather phenomena and improve numerical weather prediction models. A constellation of cloud- and precipitation-profiling instruments in LEO would provide this essential capability, but the cost and timeframe of typical satellite platforms and instruments constitute a possibly prohibitive challenge. A new radar instrument architecture that is compatible with low-cost satellite platforms, such as CubeSats and SmallSats, has been designed at JPL. Its small size, moderate mass and low power requirement enable constellation missions, which will vastly expand our ability to observe weather systems and their dynamics and thermodynamics at sub-diurnal time scales down to the temporal resolutions required to observe developing convection. In turn, this expanded observational ability can revolutionize weather now-casting and medium-range forecasting, and enable crucial model improvements to improve climate predictions.
RaInCube:一个拟议的立方体卫星大气剖面雷达星座
数值气候和天气模式依靠星载卫星的测量来完成模式的验证和改进。降水剖面分析能力目前仅限于部署在近地轨道(LEO)上的一些仪器,这些仪器无法提供观测短时间尺度天气现象演变和改进数值天气预报模式所需的时间分辨率。在近地轨道上部署一组云和降水剖面仪器将提供这一基本能力,但典型卫星平台和仪器的成本和时间可能构成一项令人望而却步的挑战。JPL设计了一种与低成本卫星平台(如CubeSats和SmallSats)兼容的新型雷达仪器架构。它的小尺寸、中等质量和低功率要求使星座任务成为可能,这将极大地扩展我们在亚日时间尺度上观察天气系统及其动力学和热力学的能力,并降低到观察发展中的对流所需的时间分辨率。反过来,这种扩大的观测能力可以彻底改变现在的天气预报和中期预报,并使关键的模型改进能够改善气候预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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