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  • 标题:Spatial Interpolation of Air Pollutant and Meteorological Variables in Central Amazonia
  • 本地全文:下载
  • 作者:Renato Okabayashi Miyaji ; Felipe Valencia de Almeida ; Lucas de Oliveira Bauer
  • 期刊名称:Data
  • 印刷版ISSN:2306-5729
  • 出版年度:2021
  • 卷号:6
  • 期号:12
  • 页码:1-12
  • DOI:10.3390/data6120126
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:The Amazon Rainforest is highlighted by the global community both for its extensivevegetation cover that constantly suffers the effects of anthropic action and for its substantial biodi-versity. This dataset presents data of meteorological variables from the Amazon Rainforest regionwith a spatial resolution of 0.001O in latitude and longitude, resulting from an interpolation process.The original data were obtained from the GoAmazon 2014/5 project, in the Atmospheric RadiationMeasurement (ARM) repository, and then processed through mathematical and statistical methods.The dataset presented here can be used in experiments in the field of Data Science, such as trainingmodels for predicting climate variables or modeling the distribution of species.Dataset: https://doi.org/10.5281/zenodo.5089039.Dataset License: CC-BY 4.0.
  • 关键词:Amazon Rainforest;spatial interpolation;GOAmazon;aerosol
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