Measurement of Vertical Profiles of the Atmospheric Surface Layer With Low-Cost Instrumentation on Board a Drone

Article ID

GZ3NO

High-resolution image of atmospheric surface layer with data charts and measurements.

Measurement of Vertical Profiles of the Atmospheric Surface Layer With Low-Cost Instrumentation on Board a Drone

David Christian De Lima Ferreira
David Christian De Lima Ferreira LAMMOC Group, Biosystems Engineering Graduate Program, Department of Agricultural and Environmental Engineering, Federal Fluminense University
Marcio Cataldi
Marcio Cataldi
Ivanovich Lache Salcedo
Ivanovich Lache Salcedo
Flávia Rodrigues Pinheiro
Flávia Rodrigues Pinheiro
Márcio Vinicius Aguiar Soares
Márcio Vinicius Aguiar Soares
Gabriel Ferreira Subtil de Almeida
Gabriel Ferreira Subtil de Almeida
DOI

Abstract

Atmospheric natural disasters can have their damage mitigated if meteorological alerts are disseminated on time. Among the ways to get data related to weather conditions are the use of atmospheric profilers and numerical models. Such resources can be used for studies related to the surface layer, which covers a range from 20 to 200 meters below the low troposphere. In order to make atmospheric experiments achievable, without great financial expenditure, a low-cost atmospheric profiler was developed together with the Laboratory of Monitoring and Numerical Modeling of Climate Systems (LAMMOC) of the Federal Fluminense University (UFF), to be on board a drone and based on prototyping with Arduino, which had as sensors the DHT22 for measuring temperature and relative humidity and the BMP280 for measuring atmospheric pressure. Thus, this profiler was used in an experiment, from which atmospheric vertical profiles were generated and compared with profiles generated by the numerical model Weather Research and Forecasting (WRF) and post-processed by the WRF-Python routines package. As a result, it was noticed that the observed data profiles described a behavior of the surface layer that indicates the occurrence of thermal inversion and change of regime of this layer, from the stable, passing through the neutral, to the unstable. With this, it is evaluated that the method of using this profiler can be applied in several atmospheric studies, such as atmospheric pollution and nowcasting weather forecast, as well as its potential for use in areas such as operational meteorology and assimilation of data from numerical models shows to be promising.

Measurement of Vertical Profiles of the Atmospheric Surface Layer With Low-Cost Instrumentation on Board a Drone

Atmospheric natural disasters can have their damage mitigated if meteorological alerts are disseminated on time. Among the ways to get data related to weather conditions are the use of atmospheric profilers and numerical models. Such resources can be used for studies related to the surface layer, which covers a range from 20 to 200 meters below the low troposphere. In order to make atmospheric experiments achievable, without great financial expenditure, a low-cost atmospheric profiler was developed together with the Laboratory of Monitoring and Numerical Modeling of Climate Systems (LAMMOC) of the Federal Fluminense University (UFF), to be on board a drone and based on prototyping with Arduino, which had as sensors the DHT22 for measuring temperature and relative humidity and the BMP280 for measuring atmospheric pressure. Thus, this profiler was used in an experiment, from which atmospheric vertical profiles were generated and compared with profiles generated by the numerical model Weather Research and Forecasting (WRF) and post-processed by the WRF-Python routines package. As a result, it was noticed that the observed data profiles described a behavior of the surface layer that indicates the occurrence of thermal inversion and change of regime of this layer, from the stable, passing through the neutral, to the unstable. With this, it is evaluated that the method of using this profiler can be applied in several atmospheric studies, such as atmospheric pollution and nowcasting weather forecast, as well as its potential for use in areas such as operational meteorology and assimilation of data from numerical models shows to be promising.

David Christian De Lima Ferreira
David Christian De Lima Ferreira LAMMOC Group, Biosystems Engineering Graduate Program, Department of Agricultural and Environmental Engineering, Federal Fluminense University
Marcio Cataldi
Marcio Cataldi
Ivanovich Lache Salcedo
Ivanovich Lache Salcedo
Flávia Rodrigues Pinheiro
Flávia Rodrigues Pinheiro
Márcio Vinicius Aguiar Soares
Márcio Vinicius Aguiar Soares
Gabriel Ferreira Subtil de Almeida
Gabriel Ferreira Subtil de Almeida

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David Christian De Lima Ferreira. 2026. “. Global Journal of Human-Social Science – B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 23 (GJHSS Volume 23 Issue B5): .

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Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

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GJHSS Volume 23 Issue B5
Pg. 51- 63
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GJHSS-B Classification: (LCC): QC879
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Measurement of Vertical Profiles of the Atmospheric Surface Layer With Low-Cost Instrumentation on Board a Drone

David Christian De Lima Ferreira
David Christian De Lima Ferreira LAMMOC Group, Biosystems Engineering Graduate Program, Department of Agricultural and Environmental Engineering, Federal Fluminense University
Marcio Cataldi
Marcio Cataldi
Ivanovich Lache Salcedo
Ivanovich Lache Salcedo
Flávia Rodrigues Pinheiro
Flávia Rodrigues Pinheiro
Márcio Vinicius Aguiar Soares
Márcio Vinicius Aguiar Soares
Gabriel Ferreira Subtil de Almeida
Gabriel Ferreira Subtil de Almeida

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