Literature DB >> 30182041

Comparison between experimental and satellite temperature datasets in Covenant University.

Sayo A Akinwumi1, Temidayo V Omotosho1, Mojisola R Usikalu1, Oluwole A Odetunmibi2, Oluwafunmilayo O Ometan3, Mustapha O Adewusi3, Maxwell Omeje1, Emmanuel S Joel1.   

Abstract

This article contains the ground and satellite meteorological data sets of clear-sky temperature events for five years (2012-2016) in Covenant University, Ota, Ogun State, Nigeria. The satellite data were obtained from Atmospheric Infrared Sounder (AIRS) while the ground data information were acquired from Davis weather station data logger-vantage pro2. These data were acquired from propagation study that used same location (Lat: 6.67°N and Long: 3.23°E) for both satellite data and radiometer directed along the same path by providing information about the temperature. The data sets were assessed and evaluated by means of a descriptive statistics. There was perfect agreement between the two data. The peak temperature events occurs between the months of November and April for the five years of observation for both Ota and AIRS Satellite. The data from this article can be used for further studies on non-rainy attenuation effect in the study area.

Entities:  

Keywords:  Clear-sky attenuation; Electromagnetic wave; Satellite communication; Temperature

Year:  2018        PMID: 30182041      PMCID: PMC6120594          DOI: 10.1016/j.dib.2018.08.012

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data The data could be used to estimate clear-air attenuation in troposphere. The technique employed here can be replicated on temperature across Nigeria. The information provided in this data can be used for purpose of citing antenna during rainy season and non-rainy season. This data may be appreciated in understanding tropospheric scintillation and gas attenuation.

Ground and satellite temperature data

Both the ground measured data and satellite data for this article were collected from Davis weather station data logger-vantage pro2 located at the top roof of College of Science and Technology of Covenant University, Nigeria and Atmospheric Infrared Sounder (AIRS) for five years between January 2012 and December 2016 respectively. The data major input parameter is temperature as presented in Table 1, Table 2, Table 3, Table 4, Table 5. The ground temperature data gathered were arranged on daily average data that is based on one-minute data and consequently used to achieve the monthly data. The monthly averages of both experimental and satellite data five years is a good description of the seasonal performance of temperature as shown in Table 1, Table 2, Table 3, Table 4, Table 5. The statistical descriptive analyses were additional carried out on the data sets for more investigation.
Table 1

2012 data descriptive statistics.

Temperature (°C)CU 2012SAT 2012
Mean25.861111126.5479950
Median25.570000026.9559375
Mode24.17000a24.58438a
Std. Deviation1.13467445.89741231
Variance1.287.805
Skewness.196-1.111
Std. Error of Skewness.717.637
Kurtosis-.717.508
Std. Error of Kurtosis1.4001.232
Minimum24.1700024.58438
Maximum27.7100027.56094
Table 2

2013 data descriptive statistics.

Temperature (°C)CU 2013SAT 2013
Mean26.386666726.6234378
Std. Error of Mean.37912645.29400622
Median26.640000026.9007815
Mode24.25000a24.79531a
Std. Deviation1.313332561.01846744
Variance1.7251.037
Skewness-.242-1.007
Std. Error of Skewness.637.637
Kurtosis-1.000-.467
Std. Error of Kurtosis1.2321.232
Range4.070002.84375
Minimum24.2500024.79531
Maximum28.3200027.63906
Table 3

2014 data descriptive statistics.

Temperature (°C)CU 2014SAT 2014
Mean26.434166726.4286462
Std. Error of Mean.32538429.26910302
Median26.915000026.8617190
Mode27.3400024.57656a
Std. Deviation1.12716425.93220021
Variance1.270.869
Skewness-.731-1.185
Std. Error of Skewness.637.637
Kurtosis-.956-.116
Std. Error of Kurtosis1.2321.232
Range3.190002.74219
Minimum24.3700024.57656
Maximum27.5600027.31875
Table 4

2015 data descriptive statistics.

Temperature (°C)CU 2015SAT 2015
Mean26.654166726.6588283
Std. Error of Mean.36504142.25182488
Median26.425000026.7342190
Mode25.22000a25.15469a
Std. Deviation1.26454058.87234696
Variance1.599.761
Skewness.001-.351
Std. Error of Skewness.637.637
Kurtosis-1.470-.955
Std. Error of Kurtosis1.2321.232
Range3.630002.63281
Minimum24.7900025.15469
Maximum28.4200027.78750
Table 5

2016 data descriptive analysis.

Temperature (°C)CU 2016SAT 2016
Mean27.048333326.4705210
Std. Error of Mean.40702512.32060799
Median27.455000026.5843750
Mode28.7600025.18594a
Std. Deviation1.40997636.96182398
Variance1.988.925
Skewness-.210-.026
Std. Error of Skewness.637.717
Kurtosis-1.559-1.648
Std. Error of Kurtosis1.2321.400
Range3.800002.62500
Minimum24.9600025.18594
Maximum28.7600027.81094
2012 data descriptive statistics. 2013 data descriptive statistics. 2014 data descriptive statistics. 2015 data descriptive statistics. 2016 data descriptive analysis.

Temperature values recorded in 2012

Descriptive analysis was carried on the data recorded from the two locations for the year 2012 and the result is presented in the Table 1 below and the bar chart for the data is also presented in Fig. 1.
Fig. 1

Chart for 2012 data.

Chart for 2012 data.

Temperature values recorded in 2013

Descriptive analysis was carried on the data recorded from the two locations for the year 2013 and the result is presented in the Table 2 below and the bar chart for the data is also presented in Fig. 2.
Fig. 2

Chart for 2013 data.

Chart for 2013 data.

Temperature values recorded in 2014

The recoded data from the two locations were analyzed using descriptive analysis methods. The result is presented in the Table 3 below and the bar chart for the data is also presented in Fig. 3.
Fig. 3

Chart for 2014 data.

Chart for 2014 data.

Temperature values recorded in 2015

The recoded data from the two locations for the year 2015 were analyzed using descriptive analysis methods. The result is presented in the Table 4 below and the bar chart for the data is also presented in Fig. 4.
Fig. 4

Chart for 2015 Data.

Chart for 2015 Data.

Temperature values recorded in 2016

Descriptive analysis was carried on the data recorded from the two locations for the year 2016 and the result is presented in the Table 5 below and the bar chart for the data is also presented in Fig. 5.
Fig. 5

Chart for 2016 Data.

Chart for 2016 Data.

Experimental design, materials and methods

Reasonably, many researches have been conducted on clear-sky temperature [1], [2], [3], [4], [5], [6], [7]. Similarly, statistical tools were equally used by [8], [9], [10], [11]. The data employs for this article were both the ground measured data and satellite data for the period of 5 years (2012 to 2016) Covenant University, Ota. It was gathered from Davis weather station data logger-vantage pro2 located at Covenant University, Nigeria and Atmospheric Infrared Sounder (AIRS) located in USA.
Subject areaCommunication and Atmospheric physics
More specific subject areaRadiowave propagation
Type of dataTable and figure
How data was acquiredBoth primary and Secondary data
Data formatRaw and analyzed
Experimental factorsAtmospheric Infrared Sounder (AIRS) and Davis weather station data logger-vantage pro2
Experimental featuresComputational Analysis: Descriptive statistics
Data source locationCovenant University, Ota, Ogun State, Nigeria (Lat: 6.67oN and Long: 3.23oE)
Data accessibilityAll the data are available in this article
  2 in total

1.  Dataset of surface refractivity in Southeast, Nigeria.

Authors:  Sayo A Akinwumi; Temidayo V Omotosho; Oluwole A Odetunmibi
Journal:  Data Brief       Date:  2017-11-20

2.  Dataset of surface water vapour density in southeast, Nigeria.

Authors:  Sayo A Akinwumi; Temidayo V Omotosho; Mojisola R Usikalu; Oluwole A Odetunmibi; Oluwafunmilayo O Ometan; Mustapha O Adewusi
Journal:  Data Brief       Date:  2018-03-07
  2 in total

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