Assessing the Quality of Non-Professional Meteorological Data for Operational Purposes

Authors

DOI:

https://doi.org/10.3849/aimt.01781

Keywords:

air temperature, exploratory analysis, meteorological measurements, relative humidity

Abstract

Non-professional weather stations are often omitted from the networks of standard/professional stations at various spatial scales. Nevertheless, there are many tasks when such non-professional datasets can serve as the only or the most relevant available
source respectively. Its acquisition costs, sufficient quality and capacity together with its
moveability represent properties that should be taken into consideration when planning
operational usage of various meteorological data. In this paper, we focus on the datasets
of air temperatures and relative humidities measured both with professional and nonprofessional devices at nearly the same location. Four years of almost continual measurements (2016-2019) ensure robust sample of mutual comparison, which we analyze in the paper more in detail in order to assess the potential of non-professional datasets for utilization in aviation meteorology. Particular issues such as value difference patterns, large errors occurrence, temporal signal stability and seasonality are elaborated as well.

References

BELL, S., D. CORNFORD and L. BASTIN. The State of Automated Amateur Weather Observations. Weather, 2013, 68(2), pp. 36-41. DOI 10.1002/wea.1980.

WOLTERS, D. and T. BRANDSMA. Estimating the Urban Heat Island in Residential Areas in the Netherlands Using Observations by Weather Amateurs. Journal of Applied Meteorology and Climatology, 2012, 51(4), pp. 711-721. DOI 10.1175/JAMC-D-11-0135.1.

DEJMAL, K., F. HUDEC, P. KOLAR and J. NOVOTNY. Evaluation of Measurement Quality of Selected Elements on the Meteorological Stations Meteos6 and Davis Vantage Pro 2 in the Military Quarters Area of Černá Pole. In: 2017 International Conference on Military Technologies (ICMT). Brno: IEEE, 2017, 2017, pp. 318-324. DOI 10.1109/MILTECHS.2017.7988777.

DEJMAL, K., P. KOLAR, J. NOVOTNY and A. ROUBALOVA. The Potential of Utilizing Air Temperature Datasets from Non-Professional Meteorological Stations in Brno and Surrounding Area. Sensors, 2019, 19(19), 4172. DOI 10.3390/s19194172.

CHAPMAN, L., C. BELL and S. BELL. Can the Crowdsourcing Data Paradigm Take Atmospheric Science to a New Level? A Case Study of the Urban Heat Island of LondonQuantified Using Netatmo Weather Stations. International Journal of Climatology. 2017, 37(9), pp. 3597-3605. DOI 10.1002/joc.4940.

PINCUS, R. ‘To Prostitute the Elements’: Weather Control and Weaponisation by US Department of Defense. War and Society, 2017, 36(1), pp. 64-80. DOI 10.1080/07292473.2017.1295539.

KOKKO, H. Versatile Automated Weather Observation for Demanding Tactical Military [online]. VAISALA News, 2001, 155, pp. 14-17 [viewed 2022-10-02]. Available from: https://www.vaisala.com/sites/default/files/documents/VN155_Demanding_Tactical_Military_Needs.PDF

Meteorological Service for International Air Navigation. Annex 3 to the Convention on International Civil Aviation [online]. Montreal: International Civil Aviation Organization, 2010. Available from: https://www.icao.int/airnavigation/IMP/Documents/Annex%203%20-%2075.pdf

YAMAMOTO, K., T. TOGAMI, N. YAMAGUCHI and S. NINOMIYA. Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data. Sensors, 2017, 17(6), 1290. DOI 10.3390/s17061290.

Guide to Instruments and Methods of Observation (WMO-No. 8). Volume I: Measurement of Meteorological Variables [online]. Geneva: WMO, 2021. [viewed 2022-03-09]. ISBN 978-92-63-10008-5. Available from: https://library.wmo.int/viewer/41650/download?file=8_I_2021_en.pdf&type=pdf&navigator=1)

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Published

11-12-2023

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Research Paper

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How to Cite

Assessing the Quality of Non-Professional Meteorological Data for Operational Purposes . (2023). Advances in Military Technology, 18(2), 275-289. https://doi.org/10.3849/aimt.01781

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