Management of heterogeneous data in the Red Climatologica UACJ in a NoSQL environment

The meteorological data in networks are susceptible to errors and irregularities, one of the reasons is because they are collected by different types of meteorological stations, the possibility of heterogeneous data, so they limit their assimilation to models and interpretation platforms. This paper presents a project that aims to assist the Laboratorio de Climatologia y Calidad del Aire in the analysis of the Red-Clima UACJ, through the creation of a NoSQL environment in which there is a process for the quality assessment of the data, as well as the necessary management for the homogenization and visualization of it. The quality assessment using a series of quality control algorithms can detect possible anomalies in the behavior of the data for later review and modification. For the management it is necessary to create a framework with the objective to homogenize the climatic information contained in MongoDB, providing as a result a dataset in JSON, CSV or XML format.