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Estimating radar reflectivity - Snowfall rate relationships and their uncertainties over Antarctica by combining disdrometer and radar observations

机译:估计雷达反射率-通过结合测速仪和雷达观测资料了解南极的降雪率关系及其不确定性

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摘要

Snowfall rate (SR) estimates over Antarctica are sparse and characterised by large uncertainties. Yet, observations by precipitation radar offer the potential to get better insight in Antarctic SR. Relations between radar reflectivity (Ze) and snowfall rate (Ze-SR relations) are however not available over Antarctica. Here, we analyse observations from the first Micro Rain Radar (MRR) in Antarctica together with an optical disdrometer (Precipitation Imaging Package; PIP), deployed at the Princess Elisabeth station. The relation Ze = A*SRB was derived using PIP observations and its uncertainty was quantified using a bootstrapping approach, randomly sampling within the range of uncertainty. This uncertainty was used to assess the uncertainty in snowfall rates derived by the MRR. We find a value of A = 18 [11-43] and B = 1.10 [0.97-1.17]. The uncertainty on snowfall rates of the MRR based on the Ze-SR relation are limited to 40%, due to the propagation of uncertainty in both Ze as well as SR, resulting in some compensation. The prefactor (A) of the Ze-SR relation is sensitive to the median diameter of the snow particles. Larger particles, typically found closer to the coast, lead to an increase of the value of the prefactor (A = 44). Smaller particles, typical of more inland locations, obtain lower values for the prefactor (A = 7). The exponent (B) of the Ze-SR relation is insensitive to the median diameter of the snow particles. In contrast with previous studies for various locations, shape uncertainty is not the main source of uncertainty of the Ze-SR relation. Parameter uncertainty is found to be the most dominant term, mainly driven by the uncertainty in mass-size relation of different snow particles. Uncertainties on the snow particle size distribution are negligible in this study as they are directly measured. Future research aiming at reducing the uncertainty of Ze-SR relations should therefore focus on obtaining reliable estimates of the mass-size relations of snow particles.
机译:南极洲的降雪率(SR)估计稀疏,且不确定性很大。但是,降水雷达的观测提供了获得对南极SR更好了解的潜力。但是,南极洲没有雷达反射率(Ze)与降雪率之间的关系(Ze-SR关系)。在这里,我们分析了来自南极洲首个微雨雷达(MRR)以及部署在伊丽莎白公主站的光学测速仪(降水成像软件包; PIP)的观测结果。 Ze = A * SRB关系是通过PIP观察得出的,其不确定性使用自举方法进行量化,在不确定性范围内随机抽样。该不确定性用于评估MRR得出的降雪率的不确定性。我们发现A = 18 [11-43],B = 1.10 [0.97-1.17]。由于Ze和SR中不确定性的传播,基于Ze-SR关系的MRR降雪率的不确定性限制为40%。 Ze-SR关系的因子(A)对雪粒的中值直径敏感。通常在靠近海岸的地方发现较大的粒子会导致系数增加(A = 44)。较小的粒子(通常是内陆较多的地区)可获得较低的系数(A = 7)。 Ze-SR关系的指数(B)对雪粒的中值直径不敏感。与以前在各个位置进行的研究相比,形状不确定性不是Ze-SR关系不确定性的主要来源。发现参数不确定性是最主要的术语,主要由不同雪颗粒的质量-尺寸关系的不确定性驱动。由于直接测量雪的粒度分布的不确定性,因此在本研究中可以忽略不计。因此,旨在减少Ze-SR关系的不确定性的未来研究应集中在获得雪粒质量关系的可靠估计上。

著录项

  • 来源
    《Atmospheric research》 |2017年第11期|211-223|共13页
  • 作者单位

    Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Heverlee, Belgium;

    Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Heverlee, Belgium;

    Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Heverlee, Belgium|Delft Univ Technol, Dept Geosci & Remote Sensing, Delft, Netherlands;

    Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Heverlee, Belgium|Univ Aveiro, Dept Phys, CESAM Ctr Environm & Marine Studies, Aveiro, Portugal;

    Univ Cologne, Inst Geophys & Meteorol, Cologne, Germany;

    Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA|NOAA, Earth Syst Res Lab, Boulder, CO USA;

    NASA, GSFC Wallops Flight Facil, Wallops Isl, VA USA;

    Katholieke Univ Leuven, Dept Earth & Environm Sci, Celestijnenlaan 200E, B-3001 Heverlee, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Antarctica; Disdrometer; Snowfall rate; Radar; Uncertainty quantification;

    机译:南极洲;测速仪;降雪率;雷达;不确定度量化;

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