Abstract
The data contained in this article refers to the measurements of climatic factors during an entire year in low latitudes regions with warm and humid climates, in Santa Rosa city from Ecuador. Since the geographical location and the importance of cloudiness in these regions, these measurements have focused on the solar radiation flux, cloud cover and sky temperature. The data obtained have been configured in a weather file for energy calculations, which has been used in the research article “Assessment of the reflectivity and emissivity impact on light metal roofs thermal behaviour, in warm and humid climate” [1].
Keywords: Warm-humid climate, Solar radiation, Sky temperature, Cloudiness
Specifications Table
| Subject | Architecture |
| Specific subject area | Building Thermal Behaviour |
| Type of data | Table Figure |
| How data were acquired | Data was collected from measurements in situ, using: Meteorological station: Davis Vantage Pro2 Plus (Wireless) Infrared Thermometer Testo 830-t4 Visual Observation in situ |
| Data format | Raw Analysed |
| Parameters for data collection | Climatic factors measured throughout the year 2016. Cloud cover and sky temperature measured in October and December. |
| Description of data collection | Solar radiation, temperature, humidity, air velocity, wind direction measurements were taken in intervals of 10 min. The sky measurements were taken in intervals of 2 hours, daytime and night time. |
| Data source location | City/Town/Region: Santa Rosa/El Oro/Ecuador |
| Data accessibility | With the article |
| Related research article | J.Torres-Quezada, H. Coch & A. Isalgué, Assessment of the reflectivity and emissivity impact on light metal roofs thermal behaviour, in warm and humid climate. Energy and Buildings. 188-189 (2019) 200-2008. https://doi.org/10.1016/j.enbuild.2019.02.022 |
Value of the Data
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The data shown in this article contributes to the solar radiation data from the Coast of Ecuador obtained by measurements, which until now has been approximated only by calculations.
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The provided information could be used to analyse the different components of the solar radiation in this region: direct and diffuse. In the same way, this information contributes to the determination of radiative cooling capacity of the sky at these latitudes.
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The weather file included in this article, which is based on measurements in situ, can be used for different energetic software, and, hence for an accurate thermal analysis of buildings in these regions.
1. Data Description
The data collection process used in this article had the purpose to established the analysis days conditions of the related research article entitled “Assessment of the reflectivity and emissivity impact on light metal roofs thermal behaviour, in warm and humid climate” [1], specifically an average day and an extreme day. For this, an annual preliminary evaluation has been carried out based on historical data. From here two months have been chosen with the average climatic conditions sought, October and December. Finally, several weeks of these two months have been measured, where the parameters of the analysis days have been found in the two weeks shown in this article (average day: October 12 and December 7, extreme day: October 10 and December 4).
The climatic parameters measured were collected from a meteorological station throughout the whole year of 2016 [2]. Fig. 1 shows the daily average of the solar irradiation on the horizontal plane throughout the measured year. In addition, this figure shows this parameter obtained by simulations with the use of the Heliodon software [3], which considers a day with clear sky conditions at this latitude. All measured climatic factors are shown in Supplementary Table 1.
Fig. 1.
Daily solar irradiation: measured by meteorological station [2] and simulated with a clear sky conditions with the use of Heliodon software [3].
In addition to these measurements, hourly data of solar irradiation, cloud cover, air temperature and sky temperature were measured in situ during several weeks in October and in December. As mentioned before, these two months contain days with different climate conditions, some of them coincide with the values established for model day with average and extreme conditions. So, one week from every month, which contains these days, are shown below.
Fig. 2 shows the data of measured cloud cover, measured global horizontal irradiation, simulated solar irradiation with clear sky conditions, calculated direct normal and diffuse horizontal irradiation based on measurements, and, Fig. 3 contains the measured data of sky temperature and air temperature; in 8 and 7 days respectively of these two months. Since the high cloudiness in this region, the measurements of these two last measured parameters were intended to give an approximation more accurate of the thermal behavior of the sky and its radiative cooling effect. These measured data are also shown in Supplementary Table 2.
Fig. 2.
Data of October: (a) measured cloud cover (CC_meas), measured global horizontal irradiation (GHI_meas), simulated horizontal solar irradiation (GHI_sim), calculated direct normal (DNI_calc) and diffuse horizontal (DHI_calc) irradiation, b) measured air temperature (Ta) and measured sky temperature (Tsky).
Fig. 3.
Data of December: (a) measured cloud cover (CC_meas), measured global horizontal irradiation (GHI_meas), simulated horizontal solar irradiation (GHI_sim), calculated direct normal (DNI_calc) and diffuse horizontal (DHI_calc) irradiation, (b) measured air temperature (Ta) and sky temperature (Tsky).
Finally, a weather file was configured based on the measurements made in October, which is shown in Supplementary Table 3. The climatic factors shown in this file are: air temperature, dew point, humidity, horizontal infrared radiation, global solar radiation, normal direct solar radiation, diffuse solar radiation, wind velocity, wind direction, cloud cover, rain fall, etc.
Although this weather file is only one week of the year, the days shown have different climatic conditions relevant for the climate of this region, like the average day (October 12th) or the extreme day (October 10th).
2. Experimental Design, Materials and Methods
Regarding solar radiation, air temperature, humidity, dew point, rainfall, air velocity and wind direction, were collected in intervals of 10 min from a meteorological station with the following characteristics throughout 2016.
| METEOROLOGICAL STATION SPECIFICATIONS | |
| Hardware: | Davis Vantage Pro2 Plus |
| Software: | Davis Vantage Pro2 Plus (Wireless) |
| Coordinates: | 3°26′39″S, 79°59′38″O |
| Elevation: | 20m |
| SOLAR RADIATION | |
| Device: | Solar radiation sensor: Apogee Pyranometer SP-110 |
| Calibration: | 5000W/m2 per V_manufacturer calibration |
| Resolution: | 1 W/m2 |
| Range: | 0-1800 W/m2 |
| Accuracy: | 5% |
| Cosine Response: | +/‒ 3% for angles 0-75° |
| Uncertainties: | +/‒ 1% |
| AIR TEMPERATURE | |
| Device: | Integrated Sensor Suite (ISS) in Davis Vantage Pro2 Plus |
| Calibration: | manufacturer calibration |
| Resolution: | 0.1 °C |
| Range: | ‒40 °C-65 °C |
| Accuracy: | 0.5 °C |
| Uncertainties: | +/‒ 0.5 °C |
| HUMIDITY | |
| Device: | Integrated Sensor Suite (ISS) in Davis Vantage Pro2 Plus |
| Calibration: | manufacturer calibration |
| Resolution: | 1% |
| Range: | 1–100% |
| Accuracy: | 3–4% above 90% |
| Uncertainties: | 3–4% |
| DEW POINT | |
| Device: | Integrated Sensor Suite(ISS)/Hum Station in Davis Vantage Pro2 Plus |
| Calibration: | manufacturer calibration |
| Resolution: | 0.1 °C |
| Range: | −76 °C to + 54 °C |
| Accuracy: | 1.5 °C |
| Uncertainties: | +/− 1.5 °C |
| RAINFALL | |
| Device: | Tipping-bucket rain collector in ISS in Davis Vantage Pro2 Plus |
| Calibration: | 0.01″ rainfall increment or 0.2 mm _ manufacturer calibration |
| Resolution: | 0.2 mm |
| Range: | 0.2 mm to 999.8 mm (daily) |
| Accuracy: | 4% |
| Uncertainties: | +/− 1 mm (rain rate) |
| AIR VELOCITY | |
| Device: | Anemometer, Integrated Sensor Suite in Davis Vantage Pro2 Plus |
| Calibration: | manufacturer calibration |
| Resolution: | 1 km/h |
| Range: | 3–322 km/h |
| Accuracy: | 3 km/h |
| Uncertainties: | +/− 5% |
| WIND DIRECTION | |
| Device: | Anemometer, Integrated Sensor Suite in Davis Vantage Pro2 Plus |
| Calibration: | manufacturer calibration |
| Resolution: | 1° |
| Range: | 0–360° |
| Accuracy: | 3° |
| Uncertainties: | +/−5% |
These technical specifications are detailed in [4]
In regards to the additional measurements: cloud cover and sky temperature, these data were collected in intervals of 2 hours. The graphical changes shown in Figs. 2 and 3 about these parameters are conditioned by the time interval used in measuring it.
The process carried out to measure the cloud cover parameter was visual observation. This process consists in dividing the sky vault into equal quadrants, then, an approximation of percentage of the sky of each quadrant was made. By the last, the four percentages obtained were averaged. The unit used for the information collected was the tenths. This process was supported with a photographic base made simultaneously, see Fig. 4.
Fig. 4.
Process of cloud cover measurements: division of the sky vault in equal quadrants (left) and images of each quadrant in October 10th at 13h00 (right).
With respect to sky temperature measurements, due to the fact that the sky is not isotropic, its thermal behavior was described through the measurements of its temperature in different points of the sky vault. These measurements were taken from the skyline to the zenith, and they were averaged to obtain one sky temperature, which is the value shown in this article (Tsky). The equipment used for these measurements was an infrared thermometer TESTO 830 T4 with the following technical specifications.
| Device: | Non-contact Infrared Thermometer 830 T4 |
| Measurement: | 2 pointing lasers, 30:1 lens |
| Calibration: | emissivity 0.90 |
| Resolution: | 0.1 °C |
| Range: | −30 to + 400 °C |
| Accuracy: | 1% |
| Emissivity: | 0.1–1.0 (Adjustable) |
| Spectral range: | 8–14 um |
| Uncertainties: | +/‒ 1.5 °C (‒20 to 0 °C); +/‒ 2 °C (‒20 to 0 °C); +/‒ 1 °C of m.v.(remaining range) |
These technical specifications are detailed in [5]
Ethics Statement
The work does not involve the subject of humans, animals, or data from social media platforms.
CRediT authorship contribution statement
Jefferson Torres-Quezada: Conceptualization, Methodology, Investigation. Helena Coch: Writing – original draft, Supervision. Antonio Isalgué: Writing – original draft, Supervision.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.
Acknowledgments
Work supported by Catholic University of Cuenca, project code: DAMA-215543. HC+AI acknowledge Spanish Ministry of Economy, project code: BIA2016-77675-R and PID2020-116036RB-I00.
Footnotes
Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2021.107404.
Appendix. Supplementary materials
References
- 1.Torres-Quezada J., Coch H., Isalgué A. Assessment of the reflectivity and emissivity impact on light metal roofs thermal behavior, in warm and humid climate. Energy Build. 2019;188-189:200–2008. doi: 10.1016/j.enbuild.2019.02.022. [DOI] [Google Scholar]
- 2.WeatherCompanyLLC, 2014. Estación meteorológica ieloroel2(ElCambio). Available at: https://www.wunderground.com/personal-weather-station/dashboard?ID=IELOROEL2#history. Accessed December 24, 2016.
- 3.B. Beckers and L. Masset, 2003. HeliodonTM_2.6-1 software. Available at: www.heliodon.net. Accessed January 12, 2016.
- 4.DavisInstruments. Data sheet of wireless vantage Pro2™ & vantage Pro2™ plus stations. Available at: https://www.davisinstruments.com/product_documents/weather/spec_sheets/6152_62_53_63_SS.pdf. Accessed January 12, 2016.
- 5.Testo. Data sheet of TESTO 83-T4 infrared thermometer. available at: https://static-int.testo.com/media/2c/2e/370ce9c89ff6/Testo-830-Data-Sheet-US.pdf. Accessed January 12, 2016.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.