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首页> 外文期刊>International journal of remote sensing >Retrieval and analysis of precipitable water vapour based on GNSS, AIRS, and reanalysis models over Nigeria
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Retrieval and analysis of precipitable water vapour based on GNSS, AIRS, and reanalysis models over Nigeria

机译:基于GNSS,AIRS和尼日利亚再分析模型的可降水量水汽的提取和分析

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摘要

Precipitable water vapour (PWV) retrieved from ground-based Global Navigation Satellite System (GNSS) stations over Nigeria from 2013 to 2014 is compared with PWV from a satellite remote-sensing technique (Atmospheric Infrared Sounder [AIRS]) and a global reanalysis model (ERA-Interim) over Nigeria. The PWV for AIRS and ERA-Interim was obtained from the respective data providers. PWV estimates from the different techniques were grouped into daily estimates and were matched and re-grouped into monthly and seasonal averages. The performance of the PWV techniques was evaluated using recommended indices by the World Meteorological Organization. All datasets gave a reasonable estimate of PWV when compared against GNSS at daily, monthly, and seasonal scales, the agreement between the various techniques was better at monthly and seasonal scales. In terms of bias, precision, accuracy, fitness, and reliability of measurement, ERA-Interim outperformed the other technique and could possibly be a complementary data source to GNSS PWV, although as a reanalysis, it cannot be used for meteorology. The AIRS night-time (or descending) retrieval was ranked next to the ERA-Interim; AIRS daytime (or ascending) retrieval agreed less with GNSS PWV when comparedwith ERA Interim and night-time AIRS. These results indicate that GNSS PWV as observed over the study area represents a remarkable dataset for further evaluation studies and serves as a useful source of humidity information to improve the water cycle in numerical weather models for varying applications in the region.
机译:将2013年至2014年从尼日利亚上空的地面全球导航卫星系统(GNSS)站检索到的可沉淀水汽(PWV)与通过卫星遥感技术(大气红外测深仪[AIRS])和全球再分析模型(P ERA(临时)。 AIRS和ERA-Interim的PWV是从各自的数据提供商处获得的。来自不同技术的PWV估算值被分组为每日估算值,然后进行匹配并重新分组为月度和季节平均值。世界气象组织使用推荐的指标评估了PWV技术的性能。与GNSS相比,在每日,每月和季节性尺度上,所有数据集都给出了PWV的合理估计,在月度和季节性尺度上,各种技术之间的一致性更好。在偏差,精度,准确性,适用性和测量可靠性方面,ERA-Interim优于其他技术,并且可能是GNSS PWV的补充数据源,尽管作为重新分析,它不能用于气象。 AIRS夜间(或降序)检索在ERA-Interim中排名第二;与ERA临时版本和夜间AIRS相比,白天(或上升)的AIRS检索与GNSS PWV的一致性较小。这些结果表明,在研究区域内观测到的GNSS PWV代表了用于进一步评估研究的重要数据集,并且可作为湿度信息的有用来源,以改善数值天气模型中该地区各种应用的水循环。

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  • 来源
    《International journal of remote sensing》 |2017年第20期|5710-5735|共26页
  • 作者单位

    Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa|Hartebeesthoek Radio Astron Observ HartRAO, Gauteng, South Africa;

    Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa|Hartebeesthoek Radio Astron Observ HartRAO, Gauteng, South Africa;

    Univ Pretoria, Dept Geog Geoinformat & Meteorol, Pretoria, South Africa|South African Weather Serv, Pretoria, South Africa;

  • 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
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