Abstract
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.
Highlights
The Amazon Rainforest is one of the largest forests in the world, with an area that represents approximately 64% of the continental portion of Brazil
The Manaus urban plume may systematically affect the areas depicted with relatively high concentrations of carbon monoxide (CO), nitrogen oxides (NOx), O3 and particles [26,27]
As other urban areas worldwide, the Manaus city emits CO, NOx and particles, constituting an urban plume that is clearly depicted in the interpolations (Figures 4 and 5)
Summary
The Amazon Rainforest is one of the largest forests in the world, with an area that represents approximately 64% of the continental portion of Brazil. Many atmospheric monitoring satellite products have insufficient spatial and temporal coverage and suffer from biases that must be compensated to retrieve data representative of surface conditions [3,4] In this sense, this dataset was built to increase the availability of data regarding the distribution of meteorological variables and air pollutant concentration in the central region of the Amazon Basin, near the cities of Manaus and Manacapuru. This dataset was built to increase the availability of data regarding the distribution of meteorological variables and air pollutant concentration in the central region of the Amazon Basin, near the cities of Manaus and Manacapuru This was accomplished through the application of spatial interpolation methods, aiming to map these variables throughout the study area.
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