Spatial Interpolation of Air Pollutant and Meteorological Variables in Central Amazonia

Author(s)

Okabayashi Miyaji, Renato ^[1] ; Valencia de Almeida, Felipe ^[1] ; de Oliveira Bauer, Lucas ^[2] ; Madureira Ferrari, Victor ^[1] ; Pizzigatti Correa, Pedro Luiz ^[1] ; Varanda Rizzo, Luciana ^[2] ; Prakash, Giri ^[3]

Affiliation

^[1] Univ Sao Paulo, Polytech Sch, BR-05508070 Sao Paulo - Brazil

^[2] Univ Fed Sao Paulo, Dept Environm Sci, BR-13635900 Sao Paulo - Brazil

^[3] Oak Ridge Natl Lab, Atmospher Radiat Measurement Facil ARM Data Ctr, Oak Ridge, TN 37831 - USA

• Document type: Journal article
• Source: DATA; v. 6, n. 12 DEC 2021.
• Web of Science Citations: 0

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 degrees 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. Data Set: https://doi.org/10.5281/zenodo.5089039. Data Set License: CC-BY 4.0. (AU)

• FAPESP's process: 20/15230-5 - Research Centre for Greenhouse Gas Innovation - RCG2I
• Grantee: Julio Romano Meneghini
• Support Opportunities: Research Grants - Research Centers in Engineering Program