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在秘鲁安第斯山脉中部对 Lufft GMX500 和 MaxiMet WS100 传感器进行现场考察评估。

Field Campaign Evaluation of Sensors Lufft GMX500 and MaxiMet WS100 in Peruvian Central Andes.

机构信息

Instituto Geofísico del Perú, Lima 15012, Peru.

Universidad Nacional del Centro del Perú, Huancayo 12006, Peru.

出版信息

Sensors (Basel). 2022 Apr 22;22(9):3219. doi: 10.3390/s22093219.

Abstract

The research presents the inter-comparison of atmospheric variables measured by 9 automatic weather stations. This set of data was compared with the measurements of other weather stations in order to standardize the values that must be adjusted when taken to different areas. The data of a set of a total of 9 GMX500, which measures conventional meteorological variables, and 10 WS100 sensors, which measures precipitation parameters. The automatic stations were set up at the Huancayo Observatory (Geophysical Institute of Peru) for a period of 5 months. The data set of GMX500 were evaluated comparing with the average of the 9 sensors and the WS100 was compared with an optical disdrometer Parsivel2. The temperature, pressure, relative humidity, wind speed, rainfall rate, and drop size distribution were evaluated. A pair of GMX500 sensors presented high data dispersion; it was found found that the errors came from a bad configuration; once this problem was solved, good agreement was archived, with low RMSE and high correlation. It was found that the WS100 sensors overestimate the precipitation with a percentage bias close to 100% and the differences increase with the greater intensity of rain. The drop size distribution retrieved by WS100 have unrealistic behavior with higher concentrations in diameters of 1 mm and 5 mm, in addition to a flattened curve.

摘要

本研究对 9 个自动气象站测量的大气变量进行了对比。为了对不同地区采集到的数据进行标准化,将该数据集与其他气象站的测量值进行了对比。这组数据包括一组共 9 个 GMX500(测量常规气象变量)和 10 个 WS100(测量降水参数)传感器。自动气象站在秘鲁地球物理研究所的万卡约观测站设立了 5 个月。GMX500 的数据集通过与 9 个传感器的平均值进行比较进行了评估,而 WS100 则与光学雨滴谱仪 Parsivel2 进行了比较。对温度、压力、相对湿度、风速、降雨率和雨滴尺寸分布进行了评估。有一对 GMX500 传感器的数据分散性很高;发现误差来自配置不当的问题;解决这个问题后,达到了良好的一致性,具有低 RMSE 和高相关性。发现 WS100 传感器高估了降水,其偏置百分比接近 100%,并且随着雨强的增加,差异也会增大。WS100 检索的雨滴尺寸分布存在不切实际的行为,在 1 毫米和 5 毫米直径处的浓度更高,并且曲线扁平化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f25/9099462/b416b00f33ef/sensors-22-03219-g001.jpg

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