ASSESSMENT OF THE ACCURACY OF METEOROLOGICAL DATA OBTAINED FROM VIRTUAL AND AUTOMATIC WEATHER STATIONS FOR THE CONDITIONS OF UKRAINIAN POLISSYA

DOI: https://doi.org/10.31073/mivg202402-396
Keywords: virtual weather station, meteorological data, air temperature, precipitation, accuracy, MAPE, RMSE and SEE errors

Abstract

The article presents a comprehensive assessment of meteorological data obtained from the virtual Visual Crossing Weather Data (VCWD) and the automatic (iMetos Base) meteorological station for the Polissya region of Ukraine. For this purpose, were selected the meteorological data which are included in the formula for calculating the reference evapotranspiration (ET0) according to the Penman-Monteith method (FAO56-PM), namely average (Tmean), maximum (Tmax) and minimum (Tmin) air temperature, dew point temperature (Tdew), average relative humidity (Rhmean), average water vapor pressure deficit (Damean), total solar radiation (Rs), average wind speed at a height of 2 m (u2 ) and daily precipitation (P). The results of the regression analysis and the calculation of the mean absolute percentage error (MAPE), root mean square error (RMSE), and standard error (SEE) demonstrate that the data on mean and maximum air temperature, as well as dew point temperature, were obtained with a high degree of accuracy from the virtual VCWD weather station. The MAPE errors are 5,6, 2,8, and 8,3%, respectively (MAPE < 10%). For the minimum air temperature and average relative humidity, good accuracy is inherent, with MAPE errors of 20,0 and 13,6%, respectively (MAPE =10-20%). The data on solar radiation and water vapor pressure deficit were obtained with satisfactory accuracy, with MAPE errors of 25,0 and 45,2%, respectively (MAPE =20-50%). The data on wind speed at a height of 2 m, total monthly and daily precipitation were obtained with unsatisfactory accuracy, with MAPE errors of 62,3, 52,6, and 40103% (MAPE >50%), respectively. It has been established that the values of daily precipitation (RMSE=6,0 mm) obtained from VCWD are not accurate. It is possible to use only the total precipitation for the month (RMSE=11,6 mm) or its annual values (RMSE=47,9 mm). The application of a correction factor to the obtained meteorological data increases their accuracy and reduces the errors of MAPE, RMSE and SEE. The use of various errors made it possible to comprehensively verify the obtained meteorological data. For example, the MAPE error calculates the accuracy of the meteorological indicator, while the RMSE and SEE errors indicate how the obtained value differs from the average value. In the future, the obtained meteorological indicators from the Visual Crossing Weather Data virtual meteorological station will be used to calculate the reference and actual evapotranspiration using the Penman-Monteith method (FAO56-PM) in the conditions of Polissya of Ukraine.

Author Biographies

O. V. Zhuravlоv, Institute of Water Problems and Land Reclamation of NAAS, Kyiv, 03022, Ukraine

Dr. of Agricultural Sciences

A. P. Shatkovskyi, Institute of Water Problems and Land Reclamation of NAAS, Kyiv, 03022, Ukraine

Dr. of Agricultural Sciences

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Published
2024-12-29
How to Cite
ZhuravlоvO., Shatkovskyi, A., Cherevychnyi, Y., Shcherbatiuk, M., & Liubitskyi, V. (2024). ASSESSMENT OF THE ACCURACY OF METEOROLOGICAL DATA OBTAINED FROM VIRTUAL AND AUTOMATIC WEATHER STATIONS FOR THE CONDITIONS OF UKRAINIAN POLISSYA. Land Reclamation and Water Management, (2), 87 - 99. https://doi.org/10.31073/mivg202402-396
Issue
No 2 (2024): Land reclamation and water management
Section
Articles

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