Performance assessment of multi-source GNSS radio occultation from COSMIC-2, MetOp-B/C, FY-3D/E, Spire and PlanetiQ over China

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2024-09-28 DOI:10.1016/j.atmosres.2024.107704
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Abstract

Global Navigation Satellite System (GNSS) radio occultation (RO) is one of the most crucial observations in atmospheric and climate science. GNSS RO globally produces accurate and long-term stable vertical profiles for essential climate variables with high vertical resolution in all weather conditions. RO measurements offer global coverage but may be limited for specific regions. Currently, various RO satellite constellation programs have been developed by nations and companies, and the growing quantity of RO observations can contribute not only globally but also has the potential to benefit specific regions, such as China. To investigate the potential of RO observation in China, the performance of five operational RO measurements from COSMIC-2, MetOp-B/C, FY-3D/E, Spire and PlanetiQ on data coverage capabilities and quality are assessed by comparing with ERA5 and radiosonde over China. The results of data coverage showed that all RO missions can acquire extensive coverage over China with effective low-altitude penetration capability, whereas MetOp-B/C exhibits some gaps in local time coverage. The results of data quality confirmed that commercial Spire and PlanetiQ are comparable to those of national-led COSMIC-2, MetOp-B/C and FY3D/E, even though Spire exhibited a lower signal-to-noise ratio (SNR). The mean bending angle and refractivity relative differences of all RO measurements are within ±0.53/1.30 % and ± 0.54/0.28 % (with respect to ERA5/radiosonde) in the altitude range of 5 to 35 km, respectively, and the corresponding relative standard deviations (SD) are less than 2.20/6.99 % and 1.35/1.56 %, respectively. Mean temperature and specific humidity differences of all RO measurements are within ±0.18/0.22 K and ± 0.08/0.22 g/kg, respectively, from the near-surface to 12 km, with SD of less than 1.26/1.67 K and 0.84/0.91 g/kg. Among the five RO missions, FY-3D/E exhibits larger errors in refractivity, temperature and specific humidity. The RO profiles derived from GPS, GLONASS, BeiDou and Galileo show comparable quality at the altitudes below 35 km. These results can help users further understand the capabilities and performance of these RO observations and indicate the application potential of numerous RO profiles from multi-source RO measurements, which is anticipated to enhance numerical weather predictions for China.
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来自 COSMIC-2、MetOp-B/C、FY-3D/E、Spire 和 PlanetiQ 的中国上空多源全球导航卫星系统无线电掩星性能评估
全球导航卫星系统(GNSS)无线电掩星(RO)是大气和气候科学中最重要的观测手段之一。全球导航卫星系统的射电掩星在全球范围内为基本气候变量提供准确和长期稳定的垂直剖面图,在所有天气条件下都具有很高的垂直分辨率。RO 测量可覆盖全球,但对特定区域可能有限。目前,各国和各公司已经开发了各种 RO 卫星星座计划,RO 观测的数量不断增加,不仅能为全球做出贡献,而且有可能使中国等特定地区受益。为了研究中国 RO 观测的潜力,通过与 ERA5 和中国上空的无线电探空仪进行比较,评估了 COSMIC-2、MetOp-B/C、FY-3D/E、Spire 和 PlanetiQ 五种运行 RO 测量在数据覆盖能力和质量方面的性能。数据覆盖结果表明,所有 RO 任务都能获得中国上空的广泛覆盖,并具有有效的低空穿透能力,而 MetOp-B/C 在本地时间覆盖方面存在一些差距。数据质量结果表明,商用 Spire 和 PlanetiQ 与国家主导的 COSMIC-2、MetOp-B/C 和 FY3D/E 的数据质量相当,尽管 Spire 的信噪比(SNR)较低。在 5 至 35 千米高度范围内,所有 RO 测量的平均弯曲角和折射率相对差异分别在 ±0.53/1.30 % 和 ±0.54/0.28 %(相对于 ERA5/无线电探空仪)以内,相应的相对标准偏差(SD)分别小于 2.20/6.99 % 和 1.35/1.56 %。从近地面到 12 千米,所有 RO 测量的平均温差和比湿差分别在 ±0.18/0.22 K 和 ±0.08/0.22 g/kg 范围内,SD 分别小于 1.26/1.67 K 和 0.84/0.91 g/kg。在五个 RO 任务中,FY-3D/E 在折射率、温度和比湿方面的误差较大。从 GPS、GLONASS、BeiDou 和 Galileo 导出的 RO 曲线在 35 公里以下的高度显示出相似的质量。这些结果有助于用户进一步了解这些RO观测的能力和性能,并显示了从多源RO测量中获得的大量RO剖面的应用潜力,预计这将加强对中国的数值天气预报。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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