five

92-Y-Meteorological_data

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NIAID Data Ecosystem2026-05-02 收录
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https://data.mendeley.com/datasets/gb8jp62vm5
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资源简介:
A high resolution long-term meteorological dataset, processed from 50 meteorological stations located in Sinaloa, Mexico. These stations are operated by the Comisión Nacional del Agua (CONAGUA), Servicio Meteorológico Nacional (SMN), and Universidad Autónoma de Sinaloa (UAS). The datasets are composed mainly of 4 variables: precipitation, evaporation, maximum and minimum temperature. The data generated by the meteorological stations were stored in txt files by CONAGUA. Therefore, these files were preprocessed and transformed into csv format, the final csv files are compatible with several programming languages, such as Python, R, MATLAB and SCALA. These long-term meteorological datasets can be used for water balances, flood and drought simulations, identifying climate changes and meteorological anthropogenic influences in the study area. A mean of 21,200 records per meteorological station were processed and prepared over approximately for the 1933 – 2025 period. The data is available in raw, daily ,monthly and annual resolutions. Datasets contain relevant information related to meteorological stations, such as name, identification, quantity of rows, quantity of null values, latitude, longitude and range date. Some stations are located in high mountain relief, valley and coastal zones and other stations located in urbanized areas.
创建时间:
2025-07-29
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