TRopical Ecosystems and Environmental Sciences lab (TREES)
Published November 18, 2023 | Version Version 1
Dataset Open

Data from paper "Dry-Season Water Deficits in the Southwestern Amazon under High Emissions"

Authors/Creators

  • 1. National Institute for Space Research (INPE)
  • 2. Met Office Hadley Centre
  • 3. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN)
  • 4. National Institute for Research in Amazonia (INPA)
  • 5. Amazon Environmental Research Institute (IPAM)
  • 6. Jet Propulsion Laboratory

Description

The data from paper “Dry-Season Water Deficits in the Southwestern Amazon under High Emissions” contains the CMIP6 projections analyzed in the manuscript "Assessment of CMIP6 models' performances based on three SSP scenarios in an emerging deforestation frontier in Brazil's southwestern Amazon", published in International Journal of Climatology - DOI: 10.1002/joc.70331.

Technical info (English)

Title: Data from paper “Dry-Season Water Deficits in the Southwestern Amazon under High Emissions”

Authors:  Débora J. Dutra, Chris Jones, Richard A. Betts, Igor J. M. Ferreira, Luiz E. O. C. Aragão, Guilherme Mataveli, Henrique Leão,  Breno I.Domingos,  Beatriz F. Cabral,  Philip M. Fearnside,  Paulo M. L. A. Graça,  Aurora M. Yanai5  Celso H. L. Silva Junior,  Thais P. de Medeiros,  Ricardo Dalagnol,  Daniel Braga,  Vinícius Peripato,  Chantelle Burton,  Liana O. Anderson

Contact: Débora Joana Dutra (debora.joana@inpe.br)

Proposal: R Studio Script and Dataset from CMIP6 Global Climate Models, created by the Met Office for Boca do Acre - Amazonas, Brazil

Dataset usage: Feel free to make use of this dataset at no cost, and we would be grateful if you could cite both the repository and our published paper when using it in your work. Moreover, we genuinely welcome the opportunity for collaboration. Please feel invited to reach out if you're interested in working together. Your contributions and insights are always appreciated.

Notes (English)

For details on the utilization, please refer to the material available at: 

Dry-Season Water Deficits in the Southwestern Amazon under High Emissions

Published

Manuscript ID: JOC-25-0644

Article type: Research Article

DOI: 10.1002/joc.70331

Publication: International Journal of Climatology

Files

README.pdf

Files (289.4 MB)

Name Size Download all
md5:36acad652ac6eb90fa9da16696999dd8
138.5 MB Download
md5:8f0e7b29ac4df8b0a409168a94ea0006
42.7 MB Download
md5:52a82c538fe98b6097b454e81434fdd6
4.4 kB Download
md5:c9d5ef4931f9b6b92b7453d8dbf204da
106.8 MB Download
md5:16597c3bb9a494b23cc199bf1cbeb74b
3.2 kB Download
md5:5302e5af12b3b9cbd7d7b6eb94610657
52.8 kB Download
md5:79f25790b2260e2e3a4fdd681ce94232
4.8 kB Download
md5:609f686b97b44e8b61771fe6d022fe13
381.9 kB Preview Download
md5:3590b81c8795bc4eb4008c8f74f802d6
917.4 kB Download

Additional details

Related works

Is supplemented by
Journal article: 10.1002/joc.70331 (DOI)

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo
Predição da probabilidade de queimadas e incêndios florestais: efeitos climáticos e antrópicos 2021/04019-4
Fundação de Amparo à Pesquisa do Estado de São Paulo
Predição da degradação florestal como subsídio a ações para evitar as queimadas e os incêndios florestais 2020/08916-8
Fundação de Amparo à Pesquisa do Estado de São Paulo
Centro de Pesquisa e Inovação de Gases de Efeito Estufa - RCG2I 2020/15230-5
Amazon Research Foundation
Predição da probabilidade de queimadas e incêndios florestais: efeitos climáticos e antrópicos 0102016301000289/2021-33

Dates

Created
2023-11-18

Software

Programming language
R , Python
Development Status
Active