Spatial Interpolation of Air Pollutant and Meteorological Variables in Central Amazonia

Renato Okabayashi Miyaji, Felipe Valencia de Almeida, Lucas de Oliveira Bauer, Victor Madureira Ferrari, Pedro Luiz Pizzigatti Corrêa, Luciana Varanda Rizzo and Giri Prakash
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Renato Okabayashi Miyaji: Polytechnic School, University of São Paulo, São Paulo 05508-070, Brazil
Felipe Valencia de Almeida: Polytechnic School, University of São Paulo, São Paulo 05508-070, Brazil
Lucas de Oliveira Bauer: Department of Environmental Sciences, Federal University of São Paulo, São Paulo 13635-900, Brazil
Victor Madureira Ferrari: Polytechnic School, University of São Paulo, São Paulo 05508-070, Brazil
Pedro Luiz Pizzigatti Corrêa: Polytechnic School, University of São Paulo, São Paulo 05508-070, Brazil
Luciana Varanda Rizzo: Department of Environmental Sciences, Federal University of São Paulo, São Paulo 13635-900, Brazil
Giri Prakash: Atmospheric Radiation Measurement Facility (ARM) Data Center, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA

Data, 2021, vol. 6, issue 12, 1-12

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.

Keywords: Amazon Rainforest; spatial interpolation; GOAmazon; aerosol (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:6:y:2021:i:12:p:126-:d:691451

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