Acurácia da Reanálise ERA-Interim do ECMWF e sua Aplicação na Estimativa da Deficiência Hídrica no Estado do Paraná, Brasil

Aparecido, Lucas Eduardo de Oliveira; Rolim, Glauco de Souza; Moraes, José Reinaldo da Silva Cabral de; Torsoni, Guilherme Botega; Meneses, Kamila Cunha de; Costa, Cícero Teixeira Silva

doi:10.1590/0102-7786344066

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…This result corroborates the findings of a great deal of the previous work. This is exemplified in the work undertaken by Aparecido et al (2019), in a study in the state of Paraná, Brazil, using ERA-Interim reanalysis, which also found accuracy higher than 90% for the average air temperature throughout the state. Another example of what is meant by (Martins et al, 2017), in a study in the Iberian Peninsula, observed accuracy of data from reanalysis higher than 80% for the maximum air temperature; however, for the minimum temperature, the accuracy was lower.…”

Section: Discussionmentioning

confidence: 91%

Evaluation of air temperature estimated by ERA5-Land reanalysis using surface data in Pernambuco, Brazil

Araújo

Silva

Ippolito

et al. 2022

Environ Monit Assess

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This study aimed to analyze the average air temperature data estimated by ERA5-Land reanalysis over 10 years (01/01/2011 to 12/31/2020), based on data from 12 automatic weather stations located in different cities in the state of Pernambuco, northeast of Brazil. For more careful evaluation, the average air temperature data were stratified by mesoregions of the state. ERA5-Land reanalysis data were validated using statistical indices that evaluated the accuracy. The average air temperature estimated by ERA5-Land reanalysis agree well with weather stations in almost the entire state of Pernambuco. The highest accuracy of the average air temperature estimated by ERA5-Land occurred in the city of Ibimirim (R2 = 0.98), while the lowest accuracy was measured in the city of Caruaru ( R2 = 0.57). Rootmean-square error (RMSE) generated by the ERA5-Land reanalysis was lower than 0.60 °C in most Pernambuco. The highest RMSE of ERA5-Land for average air temperature was calculated using data from the city of Caruaru (1.11 °C), whereas the lowest RMSE was obtained with data from the city of Recife (0.41 °C). According to mean bias errors, (MBE) the ERA5-Land underestimated the average air temperature data compared to automatic weather stations data, especially in Ouricuri, which had the highest underestimation (−0.80 °C). On the other hand, among the municipalities where ERA5-Land overestimated the temperature values, the highest overestimation was identified in Garanhuns (0.35 °C). Therefore, based on the results of this study, ERA5-Land reanalysis successfully estimated the average air temperature for the state of Pernambuco.

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Section: Discussionmentioning

confidence: 91%

Evaluation of air temperature estimated by ERA5-Land reanalysis using surface data in Pernambuco, Brazil

Araújo

Silva

Ippolito

et al. 2022

Environ Monit Assess

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“…Mean temperatures in the winter range from 7 to 15 °C19 and 25 to 35 °C in the summer. 44,45 The State of Santa Catarina had the lowest air temperatures for all seasons (Table 2), while the State of Maranhão recorded the highest T_s (26.9 °C), Amapá and Pará had the highest T_a (26.7 °C), Amapá the highest T_w (28.3 °C) and Pará the highest T_s (28.3 °C). The states in the Southeast region had T_s ranging from 22.2 to 24 °C and T_w from 18.1 to 19.1 °C.…”

Section: Resultsmentioning

confidence: 99%

“…Photosynthesis, a vital process for good crop productivity, is optimized at air temperatures between 20 and 36 °C, 43 depending on the plant species. Mean temperatures in the winter range from 7 to 15 °C 19 and 25 to 35 °C in the summer 44,45 …”

Section: Resultsmentioning

confidence: 99%

Agroclimatic mapping for olive cultivation in Brazil: pinpointing optimal growing regions

de Oliveira Aparecido,

Torsoni,

de Lima

et al. 2024

J Sci Food Agric

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BACKGROUNDThis research aimed to identify the agroclimatic zones in Brazil, excluding Rio Grande do Sul, that are suitable for olive (Olea europaea L.) cultivation, considering both climatic and topographical factors. Olives require specific conditions: moderate winter temperatures (7–15 °C), warmer summers (25–35 °C) and sufficient water during growth and fruit maturation. They can endure some drought, making them a viable option for agricultural diversification. Using daily meteorological data from 1989 to 2023 from NASA‐POWER, this study analyzed variables like air temperature (minimum and maximum) and rainfall. Key climate variables were the mean air temperature in winter (T_w), spring (T_s), summer (T_su) and autumn (T_a) and total annual precipitation (Prec). Criteria for suitability included: T_w between 5 and 20 °C, T_s between 15 and 23 °C, T_su between 15 and 30 °C, T_a between 15 and 22 °C, annual precipitation over 900 mm and altitude below 900 m. Geographic information system software and Python 3.8 were employed for data analysis and zoning.RESULTSResults indicated that only 1.92% of the analyzed area, mainly in Minas Gerais, was suitable for olive cultivation. High temperatures and low rainfall in Brazil, particularly in the North and Midwest, make 59.56% of the country unsuitable for olive farming. Additionally, 18.58% of the land, mainly in the Northeast, faces challenges due to extreme heat (T_w) and insufficient water supply. © 2023 Society of Chemical Industry.

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“…The use of data from global atmospheric models in time series studies is a good strategy when there are flaws in the historical series measured by weather stations, but on the other hand, they add another source of uncertainty on the inferences based on these data. In Brazil, the ERA-Interim model has shown good accuracy (DEE et al, 2011;SANTOS et al, 2017;APARECIDO et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Impact of global warming on Potential Years of Life Lost by cardiopulmonary diseases in Brazilian capital cities

Jacobson

Oliveira

Perez

et al. 2020

SustDeb

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This study aims at assessing the future impact of global warming in the Potencial Years of Life Lost (YLL) for cardiovascular diseases in adults (≥45 years) and respiratory diseases in the elderly (≥60 years). This is an ecological study, which includes all the capitals of Brazil. Future projections used temperature data sourced from the Eta-HadGEM2S Regional Model for the RCP8.5 scenario. YLL fractions attributable to temperature were estimated for global warming scenarios of 1.5°C, 2.0°C, and 4.0°C. The results showed that, in absolute numbers, Rio de Janeiro and São Paulo have presented the largest YLL contribution attributable to global warming among the capital cities. Campo Grande and Cuiabá were the most impacted capitals by a global warming of 1.5ºC compared to the baseline period (1961-2005), both for respiratory diseases in the elderly and for cardiovascular diseases in adults. Results of this research suggest that the impact of exposure to temperature on YLL tends to increase as the level of global warming increases.

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Acurácia da Reanálise ERA-Interim do ECMWF e sua Aplicação na Estimativa da Deficiência Hídrica no Estado do Paraná, Brasil

Cited by 7 publications

References 25 publications

Evaluation of air temperature estimated by ERA5-Land reanalysis using surface data in Pernambuco, Brazil

Evaluation of air temperature estimated by ERA5-Land reanalysis using surface data in Pernambuco, Brazil

Agroclimatic mapping for olive cultivation in Brazil: pinpointing optimal growing regions

Impact of global warming on Potential Years of Life Lost by cardiopulmonary diseases in Brazilian capital cities

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