scholarly journals Instrumentación electrónica de una estación meteorológica automática

Author(s):  
Gabriel Romero-Rodríguez ◽  
Erick Eduardo Huesca-Lazcano ◽  
Óscar Flores-Ramírez ◽  
Jorge Rafael Martínez-Ángeles

Climatological studies present a common restriction in decisionmaking based on meteorological data, since climate models often lack precise values of their parameters depending on the geographical point where the information is acquired, therefore, climate acquisition in specific geographical positions is an interesting possibility. The objective of the present study was to develop the electronic instrumentation of an automatic weather station (AWS) using a controlling medium with sensors that measure air and soil temperature (°C), relative humidity (%), solar radiation (Wm2 ) and wind speed (m/s). The acquired data were compared with commercial stations Vantage Pro (VP) and GroWeather (GW) of the Davis Instruments family where an R2 of 0.93 was obtained in Temperature and Relative Humidity of the air and an R2 of 0.94 for solar radiation. Thus, the developed AWS presents benefits in the quality of the acquired data that can be used for studies of mathematical modeling and generation of decision-making.

Author(s):  
Chinelo U. Ikeh ◽  
Chukwunwike C. Okeke

This work investigated the terrestrial solar radiation over Awka, South Eastern Nigeria using meteorological parameters of terrestrial temperature and relative humidity collected during 2013- 2014 respectively, using Davis weather station vantage pros2 (with Integrated Sensor Suite, ISS) positioned close to the ground surface. The data were logged at 30 minutes interval continuously for each day during the period. Hourly, daily and monthly averages of terrestrial radiation during dry and wet seasons were calculated from the data obtained. The result indicated that the terrestrial radiation during dry season is generally higher than during the wet season. The month of March has the highest value of terrestrial solar radiation of 410 Wm-2 , while the least terrestrial radiation of about 381 Wm-2 occurred in August. The result also showed that terrestrial solar radiation correlates positively with water vapour and more positively with temperature at 0.57 and 0.81 coefficients respectively. The results obtained from this work provide useful knowledge that is necessary to enhance the deployment of solar energy conversion systems.


Irriga ◽  
2006 ◽  
Vol 11 (2) ◽  
pp. 139-149 ◽  
Author(s):  
André Luiz Teixeira Fernandes ◽  
Marcos Vinícius Folegatti ◽  
Antonio Roberto Pereira

AVALIAÇÃO DE DIFERENTES MÉTODOS DE ESTIMATIVA DA EVAPOTRANSPIRAÇÃO DA CULTURA DO CRISÂNTEMO (Chrisantemum spp.) CULTIVADO EM ESTUFA PLÁSTICA  André Luiz Teixeira Fernandes1; Marcos Vinícius Folegatti2; Antonio Roberto Pereira21Pró Reitoria de Pesquisa e Pós Graduação, Universidade de Uberaba, Uberaba, MG, andré[email protected] de Engenharia Rural, Escola Superior de Agricultura "Luiz de Queiroz", Universidade de São Paulo, Piracicaba, SP  1 RESUMO  Com o objetivo de estudar métodos de controle de irrigação numa cultura de crisântemo, instalou-se uma estação agrometeorológica automática, numa estufa de 5600 m2, com  sensores de temperatura do ar, velocidade do vento, umidade relativa do ar, radiação solar global e lisímetro de pesagem com célula de carga, conectados a um coletor de dados. A partir dos dados meteorológicos obtidos, estimou-se a evapotranspiração da cultura utilizando-se os seguintes métodos: Tanque evaporimétrico, Camargo, Makkink, Radiação solar, Jensen-Haise, Linacre, Hargreaves-Samani, Penman, Penman-piche e Penman-Monteith. Os resultados foram comparados com as medições do lisímetro, considerado padrão. Os métodos que obtiveram maiores índices de correlação foram: Jensen-Haise (72,50%); Radiação Solar (71,53%); Makkink (71,53%), Penman-Monteith (71,16%) e Penman (72,09%).UNITERMOS: evapotranspiração, comparação entre métodos, cultura do crisântemo, cultivo protegido.  FERNANDES, A. L. T.; FOLEGATTI, M. V.; PEREIRA, A. R. VALUATION OF DIFFERENT EVAPOTRANSPIRATION ESTIMATE METHODS FOR (Chrysanthemum spp) CULTIVATED IN PLASTIC GREENHOUSE  2 ABSTRACT In order to study some methods to control irrigation of a chrysanthemum crop, an automatic weather station was installed inside a 5600 m2 greenhouse with the following sensors connected to a data logger: air temperature, relative humidity, wind speed, solar radiation and a weighing lysimeter. Evapotranspiration (ET) was estimated by the weather station data using the following methods: Solar Radiation, Pan Evaporation, Camargo, Makkink, Jensen-Haise, Linacre, Hargreaves-Samani, Penman, Penman-piche and Penman-Monteith. The results were compared with the ones from the weighing lysimeter data, which were considered standard. The best correlation indices were obtained by: Jensen-Haise (72.50%); solar radiation (71.53%); Makkink (71.53%), Penman-Monteith (71.16%) and Penman (72.09%). KEYWORDS: evapotranspiration, comparison of methods, chrysanthemum crop, protecting culture 


Author(s):  
Gabriel Romero-Rodríguez ◽  
Erick Eduardo Huesca-Lazcano ◽  
Óscar Flores-Ramírez ◽  
Karla Cecilia Apan-Araujo

Agricultural studies present a common constraint in making decisions based on meteorological data, since climate models lack precise values of their parameters depending on the geographical point where information is acquired, so that weather acquisition in positions specific geographical results is an interesting possibility. The objective of the present study was to develop a mobile automatic weather station (AWS) with sensors that measure the air temperature (° C), the relative humidity of the air (%), the global solar radiation (Wm2), the wind speed (m/s) ) and the concentration of carbon dioxide (ppm); the sensors were connected to a controller medium to which they were incorporated: a real-time clock to adapt the acquisition intervals, a display to show the information to the user, a storage module for the acquired data, a module for remote transmission of the data and a global positioning system. In addition, the mobile unit contains a chassis, four wheels with their respective electric motors, power stage, two servomotors, two ultrasonic sensors and the general electrical power that give autonomy in their movement dynamics. The climate map of a polygon of 120m2 was obtained.


2015 ◽  
Vol 17 (1) ◽  
pp. 175-185

<div> <p>The present study analyses future climate uncertainty for the 21st century over Tamilnadu state for six weather parameters: solar radiation, maximum temperature, minimum temperature, relative humidity, wind speed and rainfall. The climate projection data was dynamically downscaled using high resolution regional climate models, PRECIS and RegCM4 at 0.22&deg;x0.22&deg; resolution. PRECIS RCM was driven by HadCM3Q ensembles (HQ0, HQ1, HQ3, HQ16) lateral boundary conditions (LBCs) and RegCM4 driven by ECHAM5 LBCs for 130 years (1971-2100). The deviations in weather variables between 2091-2100 decade and the base years (1971-2000) were calculated for all grids of Tamilnadu for ascertaining the uncertainty. These deviations indicated that all model members projected no appreciable difference in relative humidity, wind speed and solar radiation. The temperature (maximum and minimum) however showed a definite increasing trend with 1.8 to 4.0&deg;C and 2.0 to 4.8&deg;C, respectively. The model members for rainfall exhibited a high uncertainty as they projected high negative and positive deviations (-379 to 854 mm). The spatial representation of maximum and minimum temperature indicated a definite rhythm of increment from coastal area to inland. However, variability in projected rainfall was noticed.</p> </div> <p>&nbsp;</p>


Author(s):  
Wayan Suparta ◽  
Aris Warsita ◽  
Ircham Ircham

Water vapor is the engine of the weather system. Continuous monitoring of its variability on spatial and temporal scales is essential to help improve weather forecasts. This research aims to develop an automatic weather station at low cost using an Arduino microcontroller to monitor precipitable water vapor (PWV) on a micro-scale. The surface meteorological data measured from the BME280 sensor is used to determine the PWV. Our low-cost systems also consisted of a DS3231 real-time clock (RTC) module, a 16×2 liquid crystal display (LCD) module with an I<sup>2</sup>C, and a micro-secure digital (micro-SD) card. The core of the system employed the Arduino Uno surface mount device (SMD) R3 board. The measurement results for long-term monitoring at the tested sites (ITNY and GUWO) found that the daily mean error of temperature and humidity values were 1.30% and 3.16%, respectively. While the error of air pressure and PWV were 0.092% and 2.61%, respectively. The PWV value is higher when the sun is very active or during a thunderstorm. The developed weather system is also capable of measuring altitude on pressure measurements and automatically stores daily data. With a total cost below 50 dollars, all major and support systems developed are fully functional and stable for long-term measurements.


Author(s):  
M. A. Adeniji ◽  
D. O. Olorode

This study enumerates the protection values derivable from refractivity variation of the tropospheric surface in Nigeria. The investigation was conducted in four cities of Nigeria using meteorological data of 2008 procured from the centre for basic space science (cbss), university of Nigeria, (unn), Nsukka. Data were captured from four different stations: Akure, Nsukka, Minna and Sokoto using vantage pro II automatic weather station. Data measurement at half hourly interval for the whole year took place at the ground level, 0 m and 100 m altitude of the troposphere. The results of the analyzed data revealed that at 100 m altitude, Nzukka and Akure experienced better protection at refractivity value of 350 unit than Sokoto and Minna at 250 unit. At the ground level (0) m, refractivity values becomes more distinct with; Nzukka, 500 unit, Akure, 370 unit while Minna and Sokoto shared the same refractivity value of 270 unit. This trend of refractivity variation showed a decreasing order of protection against exposure to damaging effects of the cosmic and out of space radiation as we move from the south towards the northern part of the country.


2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Okwunna M Umego ◽  
Temitayo A Ewemoje ◽  
Oluwaseun A Ilesanmi

This study was carried out to assess the variations of Reference Evapotranspiration (ETO also denoted with RET) calculated using FAO-56 Penman Monteith model of two locations Asaba and Uyo and evaluate its relationships with the variations of other climatic parameters. Meteorological data of forty one years (1975-2015) and thirty five years (1981-2015) period for Asaba and Uyo, respectively gotten from Nigeria Meteorological Agency, Abuja were used. It was observed that the variations of Evapotranspiration (ET) in both locations were in line with two seasons (rainy and dry) normally experienced in Nigeria having its highest value in March (4.8 mm/day) for Asaba and for Uyo in February (4.5 mm/day); and its lowest value in August (3.1 mm/day) for Asaba and in July (2.9 mm/day) for Uyo. ET variation when compared with other climatic variables in both locations was observed to have the same trend with maximum temperature, solar radiation and sunshine hours. It also has the same variation with minimum temperature though with slight deviation. It was observed that ET variation is inversely proportional to the variation relative humidity. Wind speed displayed relatively small variation in its trend over the study period and is not in line with the variations of ET.Keywords— Evapotranspiration, Climatic Variables, FAO Penman-Monteith Model, Variations


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Oscar D. Molina ◽  
Christian Bernhofer

Abstract Background Considering the lack of research over this region the Statistical Downscaling Model (SDSM) was used as a tool for downscaling meteorological data statistically over four representative regions in the eastern side of Colombia. Data from the two Global Climate Models CanESM2 and IPSL-CM5A-MR, which are part of the CMIP5-project have been used to project future maximum and minimum temperature, precipitation and relative humidity for the periods 2021–2050 and 2071–2100. For both models, the Representative Concentration Pathways RCP2.6 and RCP8.5 were considered, representing two different possible future emission trajectories and radiative forcings. Predictor variables from the National Centre for Environmental Prediction (NCEP-DOE 2) reanalysis dataset, together with analyzed correlation coefficient (R) and root mean square error (RMSE) were used as performance indicators during the calibration and validation process. Results Results indicate that Maximum and minimum temperature is projected to increase for both Global Climate Models and both Representative Concentration Pathways; relative humidity shows a decreasing trend for all scenarios and all regions; and precipitation shows a slight decrease over three regions and an increase over the warmest region. As expected, the results of the simulation for the period 2071–2100 show a more drastic change when compared to the baseline period of observations. Conclusions The SDSM model proves to be efficient in the downscaling of maximum/minimum temperature as well as relative humidity over the studied regions; while showing a lower performance for precipitation, agreeing with the results for other statistical downscaling studies. The results of the projections offer good information for the evaluation of possible future-case scenarios and decision-making management.


2021 ◽  
Vol 13 (2) ◽  
pp. 201-226
Author(s):  
Sergio Iván Jiménez-Jiménez ◽  
◽  
Waldo Ojeda-Bustamante ◽  
Marco Antonio Inzunza-Ibarra ◽  
Mariana de Jesús Marcial-Pablo ◽  
...  

Introduction: The FAO-56 Penman-Monteith (PM) is one of the most solid and commonly used methods for estimating reference evapotranspiration (ETo); however, it requires meteorological data that are not always available, so an alternative is the use of reanalysis data. Objective: To estimate the error that the NASA-POWER (NP) system data can generate in the ETo of the Comarca Lagunera, Mexico. Methodology: Daily and decadal average ETo were estimated in five different ways. In each case, a different method was used to estimate ETo (FAO-56 PM or Hargreaves and Samani [HS]) and a different meteorological data source (measured, NP data or combination of both). Results: NP data can be used to provide temperature, solar radiation and relative humidity variables, but not wind speed. The NP data overestimate the measured ETo, an RMSE of 1.15 and 0.89 mm∙d-1 was found for daily and decadal periods, respectively. Limitations of the study: A grid error analysis could not be carried out because the number of stations is limited. Originality: The use of reanalysis data to estimate ETo has not been analyzed locally. Conclusion: When measured data are not available, NP data and the HS equation can be used. When using the FAO-56 PM method and NP data, the in situ wind speed must be available.


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