Spatial Interpolation of Air Pollutant and Meteorological Variables in Central Amazonia
The Amazon Rainforest is highlighted by the global community both for its extensive vegetation cover that constantly suffers the effects of anthropic action and for its substantial biodiversity. This dataset presents data of meteorological variables from the Amazon Rainforest region with a spatial r...
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Veröffentlicht in: | Data (Basel) 2021-12, Vol.6 (12), p.126 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The Amazon Rainforest is highlighted by the global community both for its extensive vegetation cover that constantly suffers the effects of anthropic action and for its substantial biodiversity. This dataset presents data of meteorological variables from the Amazon Rainforest region with a spatial resolution of 0.001° in latitude and longitude, resulting from an interpolation process. The original data were obtained from the GoAmazon 2014/5 project, in the Atmospheric Radiation Measurement (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 training models for predicting climate variables or modeling the distribution of species. |
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ISSN: | 2306-5729 2306-5729 |
DOI: | 10.3390/data6120126 |