Brazil Riskclima Database

Cataldi, Marcio; Sancho, Lívia; da Fonseca Aguiar, Louise; Esposte Coutinho, Priscila; Luiz Victalino Galves, Vitor

Brazil Riskclima Database

Cataldi, Marcio et al.

Experiment

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climate impact Climate risk National Council for Scientific and Technological Development

Summary: The Brazil RiskClima Database provides curated climate datasets designed to support the diagnosis, analysis, and projection of climate extremes across South America, with an emphasis on applications for climate risk assessment in Brazil.
This database includes atmospheric indices derived from ERA5 reanalysis and CMIP6 model outputs, supporting the study of extreme events such as heatwaves, drought-related conditions, atmospheric blocking, and South Atlantic Convergence Zone variability. It also provides daily climate variables from selected CMIP6 models over the South American domain, covering historical and future scenario experiments.
In addition, the database includes outputs from two global CESM simulations, Control and GSM, designed to assess climate variability and atmospheric responses associated with a Maunder Minimum event. These simulations complement the ERA5 and CMIP6 products by providing a controlled modeling framework for investigating large-scale climate variability.
The database is distributed in NetCDF4 format, follows CF conventions, and includes standardized units and complete metadata. It is intended to facilitate reproducible research on climate variability, extreme events, and climate risk, while supporting the development of georeferenced climate risk products within the RiskClima project.
The CESM Maunder Minimum experiment is documented at https://doi.org/10.1016/j.eve.2025.100068. The official repository containing the scripts to reproduce the indices and download CMIP6 data is available at https://github.com/lammoc-uff/cnpq-riskclima
Project: Riskclima (RiskClima)
Contact: Prof. Dr. Marcio Cataldi (
mcataldi@nullid.uff.br
0000-0001-9769-0105)
Spatial Coverage: Longitude -180 to 177.5 Latitude -90 to 90
Temporal Coverage: 1850-01-01 to 2050-12-31 (multiple calendars)
Use constraints: Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog: World Data Center for Climate
Format: NetCDF
Status: metadata only
Creation Date: 2026-07-21
Review Date: 2026-08-20

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Cite as: Cataldi, Marcio; Sancho, Lívia; da Fonseca Aguiar, Louise; Esposte Coutinho, Priscila; Luiz Victalino Galves, Vitor (2026). Brazil Riskclima Database. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=BRDB

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Funding: National Council for Scientific and Technological Development
Grant/Award No: 406871/2022-1 - Project to develop socio-environmental vulnerability maps regarding climate extremes using Earth system modeling techniques

Contact type	Person	ORCID	Organization
Contact	Prof. Dr. Marcio Cataldi	0000-0001-9769-0105	Universidade Federal Fluminense
Author	Prof. Dr. Marcio Cataldi	0000-0001-9769-0105	Universidade Federal Fluminense
Author	Prof. Dr. Lívia Sancho	0000-0001-9925-4841	Universidade Federal do Rio de Janeiro
Author	Louise da Fonseca Aguiar	0000-0002-2796-4577	Universidade Federal Fluminense
Author	Priscila Esposte Coutinho	0000-0002-2782-9367	Universidade Federal Fluminense
Author	Vitor Luiz Victalino Galves	0009-0001-1790-5880	Universidade Federal Fluminense
Investigator	Prof. Dr. Marcio Cataldi	0000-0001-9769-0105	Universidade Federal Fluminense
Funder	-	-	National Council for Scientific and Technological Development

Is compiled by

[1] DOI Tatebe, Hiroaki; Ogura, Tomoo; Nitta, Tomoko; Komuro, Yoshiki; Ogochi, Koji; Takemura, Toshihiko; Sudo, Kengo; Sekiguchi, Miho; Abe, Manabu; Saito, Fuyuki; Chikira, Minoru; Watanabe, Shingo; Mori, Masato; Hirota, Nagio; Kawatani, Yoshio; Mochizuki, Takashi; Yoshimura, Kei; Takata, Kumiko; O'ishi, Ryouta; Yamazaki, Dai; Suzuki, Tatsuo; Kurogi, Masao; Kataoka, Takahito; Watanabe, Masahiro; Kimoto, Masahide. (2019). Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6. doi:10.5194/gmd-12-2727-2019

[2] DOI Lovato, Tomas; Peano, Daniele; Butenschön, Momme; Materia, Stefano; Iovino, Doroteaciro; Scoccimarro, Enrico; Fogli, Pier Giuseppe; Cherchi, Annalisa; Bellucci, Alessio; Gualdi, Silvio; Masina, Simona; Navarra, Antonio. (2022). CMIP6 simulations with the CMCC Earth System Model (CMCC‐ESM2). doi:10.1029/2021MS002814

[3] DOI Wu, Tongwen; Yu, Rucong; Lu, Yixiong; Jie, Weihua; Fang, Yongjie; Zhang, Jie; Zhang, Li; Xin, Xiaoge; Li, Laurent; Wang, Zaizhi; Liu, Yiming; Zhang, Fang; Wu, Fanghua; Chu, Min; Li, Jianglong; Li, Weiping; Zhang, Yanwu; Shi, Xueli; Zhou, Wenyan; Yao, Junchen; Liu, Xiangwen; Zhao, He; Yan, Jinghui; Wei, Min; Xue, Wei; Huang, Anning; Zhang, Yaocun; Zhang, Yu; Shu, Qi; Hu, Aixue. (2021). BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model. doi:10.5194/gmd-14-2977-2021

[4] DOI Cataldi, Marcio; Galves, Vitor Luiz Victalino; Sphaier, Leandro Alcoforado; Garnés-Morales, Ginés; Gallardo, Victoria; Párraga, Laurel Molina; Montávez, Juan Pedro; Jimenez-Guerrero, Pedro. (2024). Development of a New Generalizable, Multivariate, and Physical-Body-Response-Based Extreme Heatwave Index. doi:10.3390/atmos15121541

[5] DOI Cataldi, Marcio. (2024). Creation and Assessment of an Index for Atmospheric Blockings in Brazil’s Central Region. doi:10.33552/ahm.2024.01.000519

[6] DOI Cataldi, Marcio; Sancho, Lívia; Esposte Coutinho, Priscila; da Fonseca Aguiar, Louise; Galves, Vitor Luiz Victalino; Guida, Aimée. (2025). Teleconnection Patterns and Synoptic Drivers of Climate Extremes in Brazil (1981–2023). doi:10.3390/atmos16060699

[7] DOI da Fonseca Aguiar, Louise; Cataldi, Marcio. (2021). Social and environmental vulnerability in Southeast Brazil associated with the South Atlantic Convergence Zone. doi:10.1007/s11069-021-04926-z

[8] DOI Huneke, Wilma G. C.; Hogg, Andrew McC.; Dix, Martin; Bi, Daohua; Sullivan, Arnold; McGregor, Shayne; Holgate, Chiara M.; O'Farrell, Siobhan P.; Oliveira, Micael J. T. (2025). The ACCESS-CM2 climate model with a higher resolution ocean-sea ice component (1/4°). doi:10.5194/gmd-18-9991-2025

[9] DOI Nielsen, David Marcolino; Belém, André Luiz; Marton, Edilson; Cataldi, Marcio. (2018). Dynamics-based regression models for the South Atlantic Convergence Zone. doi:10.1007/s00382-018-4460-4

[10] Mckee, T. B.; Doesken, N. J.; Kleist, J. (1993). The relationship of drought frequency and duration to time scales. https://www.academia.edu/127253016/The_relationship_of_drought_frequency_and_duration_to_time_scales

[11] Pangeo Community. (2024). Pangeo / ESGF Cloud Data Working Group. Accessing data in the cloud. https://pangeo-data.github.io/pangeo-cmip6-cloud/accessing_data.html

Is derived from

[1] DOI Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana. (2023). IPCC DDC: INM INM-CM5-0 model output prepared for CMIP6 ScenarioMIP ssp126. doi:10.26050/WDCC/AR6.C6SPINIC0s126

Attached Dataset Groups ( 7 )

Parent project(s)

RiskClima

[Entry acronym: BRDB] [Entry id: 5370748]