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; Giri Prakash

doi:10.3390/data6120126

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
, Giri Prakash

Environmental Sciences Division

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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 biodi-versity. 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.

Original language	English
Article number	126
Journal	Data
Volume	6
Issue number	12
DOIs	https://doi.org/10.3390/data6120126
State	Published - Dec 2021

Funding

To improve the knowledge about the fundamental cycles that occur in the Amazon Basin region, which have an impact on the world climate [2], the Green Ocean Amazon (GoAmazon 2014/5) experiment was carried out in the region during 2014 and 2015. The project was funded by the Atmospheric Radiation Measurement (ARM) from the Department of Energy (DoE) of the United States of America and Brazilian institutions, such as the University of Sao Paulo (Universidade de São Paulo—USP), the State University of Amazonas (Universidade do Estado do Amazonas—UEA) and the National Institute of Space Research (Instituto Nacional de Pesquisas Espaciais—INPE). From 1 January 2014 to 31 December 2015, the experiment collected atmospheric data through nine ground research sites, distributed throughout the Amazon Basin, and two aircraft that conducted low‐altitude flights covering the region between the cities of Manaus and Manacapuru, see in . The data acquisition was divided between two Intensive Operation Periods (IOPs), the first (IOP1) during the wet season and the second (IOP2) during the dry one. The collected data were made available openly and free of charge in the ARM repository [5], see in the Appendix. The data necessary for building this dataset were obtained from there. The [6–8] datasets contained data collected by the DoE’s G‐1 aircraft (a low‐altitude G‐129 Gulfstream I), which operated in both IOPs with the purpose of characterizing the atmospheric boundary layer in the region of interest [2]. The G‐1 aircraft flew 35 times in 2014, 16 of these flights were during the wet season (IOP1) between 1 February to 31 March 2014 and 19 during the dry season (IOP2) between 15 August to 15 October 2014. Each of the flight paths is shown in Figure 1. Most of the flights were performed between late morning and early afternoon (11:00 AM to 1:00 PM, local time). Data were collected at altitudes Above Ground Level (AGL) ranging mainly from 700 m to 2000 m. Funding: This work was funded by National Council for Scientific and Technological Development (CNPq) under projects PIBIC (2021/212 ‐1745) and 140253/2021‐1, ITAU Unibanco S.A. under PBI project in data science center (C2d) and the FAPESP project “Emissão de gases de efeito estufa na AmazônicaAmazônica e Sistemase Sistemas de Análisede Aná lisede DadedosDados e Serviçoe Serviços”s” (2020and/15230"Resear‐5). ch Centre for Greenhouse Gas Innovation-RCG2I" (2020/15230-5). Institutional Review Board Statement: Not applicable. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: Dataset is available on Zenodo (https://doi.org/10.5281/zenodo.5089039, accessed on 15 June 2021), with the licence CC‐BY 4.0. 039, accessed on 15 June 2021), with the licence CC-BY 4.0. Acknowledgments: The authors would like to thank CNPq and ITAU for the financial support and to ARM and FAPESP for the data availability under projects (2017/17047‐0 and 2020/15230‐5). to ARM and FAPESP for the data availability under projects (2017/17047-0 and 2020/15230-5). Conflicts of Interest: The authors declare no conflict of interest. Conflicts of Interest: The authors declare no conflict of interest. This work was funded by National Council for Scientific and Technological Development (CNPq) under projects PIBIC (2021/21-1745) and 140253/2021-1, ITAU Unibanco S.A. under PBI project in data science center (C2d) and FAPESP projects ?Emiss?o de gases de efeito estufa na Amaz?nica e Sistemas de An?lise de Dados e Servi?os? and "Research Centre for Greenhouse Gas Innovation-RCG2I" (2020/15230-5). The authors would like to thank CNPq and ITAU for the financial support and to ARM and FAPESP for the data availability under projects (2017/17047-0 and 2020/15230-5).

Keywords

Aerosol
Amazon Rainforest
GOAmazon
Spatial interpolation

Access to Document

10.3390/data6120126

Cite this

@article{b569519a69a24ebf8c3ddcbf38ffd106,

title = "Spatial interpolation of air pollutant and meteorological variables in central amazonia",

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 biodi-versity. 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 = "Aerosol, Amazon Rainforest, GOAmazon, Spatial interpolation",

author = "Miyaji, \{Renato Okabayashi\} and \{de Almeida\}, \{Felipe Valencia\} and Bauer, \{Lucas de Oliveira\} and Ferrari, \{Victor Madureira\} and Corr{\^e}a, \{Pedro Luiz Pizzigatti\} and Rizzo, \{Luciana Varanda\} and Giri Prakash",

note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = dec,

doi = "10.3390/data6120126",

language = "English",

volume = "6",

journal = "Data",

issn = "2306-5729",

publisher = "MDPI",

number = "12",

}

TY - JOUR

T1 - Spatial interpolation of air pollutant and meteorological variables in central amazonia

AU - Miyaji, Renato Okabayashi

AU - de Almeida, Felipe Valencia

AU - Bauer, Lucas de Oliveira

AU - Ferrari, Victor Madureira

AU - Corrêa, Pedro Luiz Pizzigatti

AU - Rizzo, Luciana Varanda

AU - Prakash, Giri

PY - 2021/12

Y1 - 2021/12

N2 - 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 biodi-versity. 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.

AB - 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 biodi-versity. 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.

KW - Aerosol

KW - Amazon Rainforest

KW - GOAmazon

KW - Spatial interpolation

UR - https://www.scopus.com/pages/publications/85121322611

U2 - 10.3390/data6120126

DO - 10.3390/data6120126

M3 - Article

AN - SCOPUS:85121322611

SN - 2306-5729

VL - 6

JO - Data

JF - Data

IS - 12

M1 - 126

ER -

Spatial interpolation of air pollutant and meteorological variables in central amazonia

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this