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首页> 外文期刊>Journal of Spacecraft and Rockets >Reconstruction of Atmospheric Properties from Mars Science Laboratory Entry, Descent, and Landing
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Reconstruction of Atmospheric Properties from Mars Science Laboratory Entry, Descent, and Landing

机译:从火星科学实验室的进入,下降和着陆中重建大气特性

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摘要

The successful Mars Science Laboratory entry, descent, and landing returned a wealth of in situ data that, when combined with orbiter remote sensing data and numerical modeling results, can be used to determine the state of the atmosphere. The entry atmosphere reconstruction included data from several sources: 1) temperature and pressure data from the Mars Reconnaissance Orbiter and Mars Climate Sounder instrument, 2) density derived from the Mars entry, descent, and landing instrument suite, 3) density derived from the vehicle's inertial measurement unit and knowledge of the vehicle aerodynamics, and 4) numerical mesoscale model results. No single data set is sufficient to understand the atmospheric state along the path flown by the spacecraft Rather, the reconstructed profile of density is pieced together from the available data, along with some assumptions and inferences. The strategy used to combine the various data sets required a clear understanding of each source's strengths and weaknesses. The various data sets appear consistent and reinforce each other. From these data sets, a novel approach to anchoring reconstructed pressure data in the upper altitudes to observed data near the Gale Crater landing site is presented. The paper also describes how the anchoring technique, along with using postflight adjustments to mesoscale model data and in situ measurements are used to reconstruct the atmospheric state along the trajectory. The final reconstructed profile is compared with preflight predictions and implications of the new approach and lessons learned are also discussed.
机译:火星科学实验室成功的进入,下降和着陆返回了大量的原位数据,当与轨道卫星遥感数据和数值模拟结果结合使用时,可以用来确定大气层的状态。进入大气层重建包括来自多个来源的数据:1)来自火星侦察轨道飞行器和火星气候探测仪的温度和压力数据; 2)来自火星进入,下降和着陆仪器套件的密度; 3)来自飞行器的密度惯性测量单元和车辆空气动力学知识,以及4)数值中尺度模型结果。没有任何一个单独的数据集足以理解航天器飞行路径上的大气状态。相反,重建的密度分布是从可用数据以及一些假设和推论中拼凑而成的。用于组合各种数据集的策略要求对每个来源的优缺点有一个清晰的了解。各种数据集看起来是一致的,并且相互补充。从这些数据集中,提出了一种将高海拔地区的重建压力数据锚定到大风火山口着陆点附近的观测数据的新颖方法。本文还描述了锚定技术,以及如何使用飞行后调整对中尺度模型数据和原位测量进行重建,以沿轨迹重建大气状态。将最终重建的轮廓与飞行前的预测进行比较,并讨论新方法的含义以及所汲取的经验教训。

著录项

  • 来源
    《Journal of Spacecraft and Rockets》 |2014年第4期|1062-1075|共14页
  • 作者单位

    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109;

    NASA Langley Research Center, Hampton, Virginia 23681;

    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109;

    Analytical Mechanics Associates, Inc., Hampton, Virginia 23666;

    Oregon State University, Corvallis, Oregon 97331;

    Malin Space Science Systems, San Diego, California 92191;

    Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California 91109;

    Southwest Research Institute, Boulder, Colorado 80302;

    Oregon State University, Corvallis, Oregon 97331;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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