Zonal statistics datasets of climate indicators for Brazilian municipalities

Author:

Saldanha RaphaelORCID,Akbarinia Reza,Pedroso Marcel,Ribeiro Victor,Cardoso Carlos,Pena Eduardo H. M.,Valduriez Patrick,Porto Fabio

Abstract

Abstract Climate trends and weather indicators are used in several research fields due to their importance in statistical modeling, frequently used as covariates. Usually, climate indicators are available as grid files with different spatial and time resolutions. The availability of a time series of climate indicators compatible with administrative boundaries is scattered in Brazil, not fully available for several years, and produced with diverse methodologies. In this paper, we propose time series of climate indicators for the Brazilian municipalities produced using zonal statistics derived from the ERA5-Land reanalysis indicators. As a result, we present datasets with zonal statistics of climate indicators with daily data, covering the period from 1950 to 2022.

Publisher

Cambridge University Press (CUP)

Reference33 articles.

1. Richardson, N , Cook, I , Crane, N , Dunnington, D , François, R , Keane, J , Moldovan-Grünfeld, D , Ooms, J and Apache Arrow (2023) Arrow: Integration to ‘apache’ ’arrow’ [R package version 11.0.0.2]. Available at https://CRAN.R-project.org/package=arrow.

2. Global land surface temperature change (2003–2017) and its relationship with climate drivers: AIRS, MODIS, and ERA5-land based analysis;Liu;Remote Sensing,2020

3. Memória Globo (2021) Deslizamentos em Angra. Retrieved December 12, 2023, from https://memoriaglobo.globo.com/ jornalismo/coberturas/deslizamentos-em-angra/noticia/deslizamentos-em-angra.ghtml.

4. Hydrological reanalysis across the 20th century: A case study of the Amazon Basin;Wongchuig;Journal of Hydrology,2019

5. World Meteorological Organization (2009) Guidelines on Analysis of Extremes in a Changing Climate in Support of Informed Decisions for Adaptation. Technical report No. 72. WMO, Geneve.

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