Literature DB >> 33499172

Performance of the ATMOS41 All-in-One Weather Station for Weather Monitoring.

Olga Dombrowski1, Harrie-Jan Hendricks Franssen1, Cosimo Brogi1, Heye Reemt Bogena1.   

Abstract

Affordable and accurate weather monitoring systems are essential in low-income and developing countries and, more recently, are needed in small-scale research such as precision agriculture and urban climate studies. A variety of low-cost solutions are available on the market, but the use of non-standard technologies raises concerns for data quality. Research-grade all-in-one weather stations could present a reliable, cost effective solution while being robust and easy to use. This study evaluates the performance of the commercially available ATMOS41 all-in-one weather station. Three stations were deployed next to a high-performance reference station over a three-month period. The ATMOS41 stations showed good performance compared to the reference, and close agreement among the three stations for most standard weather variables. However, measured atmospheric pressure showed uncertainties >0.6 hPa and solar radiation was underestimated by 3%, which could be corrected with a locally obtained linear regression function. Furthermore, precipitation measurements showed considerable variability, with observed differences of ±7.5% compared to the reference gauge, which suggests relatively high susceptibility to wind-induced errors. Overall, the station is well suited for private user applications such as farming, while the use in research should consider the limitations of the station, especially regarding precise precipitation measurements.

Entities:  

Keywords:  ATMOS41; all-in-one; low-cost; weather monitoring; weather station comparison

Year:  2021        PMID: 33499172     DOI: 10.3390/s21030741

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Slope Micrometeorological Analysis and Prediction Based on an ARIMA Model and Data-Fitting System.

Authors:  Dunwen Liu; Haofei Chen; Yu Tang; Chao Liu; Min Cao; Chun Gong; Shulin Jiang
Journal:  Sensors (Basel)       Date:  2022-02-05       Impact factor: 3.576

2.  Role of Snowpack-Hydrometeorological Sensors for Hydrogeological System Comprehension inside an Alpine Closed-Basin.

Authors:  Michele Mondani; Martina Gizzi; Glenda Taddia
Journal:  Sensors (Basel)       Date:  2022-09-20       Impact factor: 3.847

3.  Development of KOSEN Weather Station and Provision of Weather Information to Farmers.

Authors:  Jeyeon Kim; Daichi Minagawa; Daiki Saito; Shinichiro Hoshina; Kazuya Kanda
Journal:  Sensors (Basel)       Date:  2022-03-09       Impact factor: 3.576

  3 in total

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