Minimum reference network for temperature modeling through distance-based algorithms

Abstract

The measurement, monitoring, modeling and forecasting of atmospheric phenomena such as temperature, precipitation, humidity, speed, wind direction, among others, requires the installation and maintenance of a network of meteorological stations for the development of this activity. Depending on its purposes and scope, this network will be more or less sophisticated in the capture and transmission of information. The present work proposes to formulate a methodology to establish the minimum network of meteorological stations necessary for the recording of temperature, as well as the thermal zones of the Colombian territory as a function of altitude. For this purpose, first, the Dynamic Time Warping (DTW) algorithm was used as a technique to calculate the similarity between time series. From the results obtained with DTW, a hierarchical grouping was developed to determine the station clusters. Finally, the thermal zones, 10 in total as a result of the clustering, were the result of selecting those stations that were within the interquartile range with respect to the altitude coordinate. From an initial network of 452 stations, an optimal network of 230 stations was arrived at. Daily historical temperature records from the network of meteorological stations managed by the Institute of Environmental Studies (IDEAM) were the input with which this methodology was implemented.