Abstract
This paper presents wind speed and direction data measured with a weather station located in Puerto Bolivar, department of La Guajira, situated in the extreme north of Colombia, whose geographic coordinates are 12°11′N 71°55′W. A wind speed and direction sensor, a barometric pressure sensor, and a temperature sensor were used to obtain the presented data. These data were taken at the height of 10 m, which is the highest point of the weather station. The data taken by the meteorological station correspond to a period of 20 years (1993–2013), with hourly frequency. For the missing data, a mathematical model to estimate the Julian averages was developed, allowing to calculate the frequency histograms and four types of probability distributions for these data. Also, the representative wind roses were generated, taking into account the averages in each of the 12 months of the year.
Highlights
This paper presents wind speed and direction data measured with a weather station located in Puerto Bolivar, department of La Guajira, situated in the extreme north of Colombia, whose geographic coordinates are 12110N 71550W
A wind speed and direction sensor, a barometric pressure sensor, and a temperature sensor were used to obtain the presented data. These data were taken at the height of 10 m, which is the highest point of the weather station
The data series are presented, complemented by different probability distributions that describe the statistical behavior of the data which parameter are shown in Table 1, together with the superposition of four probability distributions obtained from the monthly wind speed and direction data supplied with this document
Summary
Value of the data The data provided in this work can be inputs for a projection of future behavior for this region of the country. The historical series has some missing data for the measured period For this reason, in order to complete these data, it was necessary to use an algorithm developed in MATLAB® to calculate the Julian averages for each of the series. The data series are presented, complemented by different probability distributions that describe the statistical behavior of the data which parameter are shown, together with the superposition of four probability distributions obtained from the monthly wind speed and direction data supplied with this document. The calculations to generate all these figures and tables were made with the data presented in Appendix A
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