New improved Brazilian daily weather gridded data (1961–2020)

Xavier, Alexandre Cândido; Scanlon, Bridget R.; King, Carey W.; Alves, Aline I.

doi:10.1002/joc.7731

Cited by 46 publications

(29 citation statements)

References 42 publications

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“…Daily maximum air temperatures (

{T_{\max}}_{i, j, t}

in °C) were obtained from the BR‐DWGD database (Brazilian Daily Weather Gridded Database; Xavier et al, 2022), originally at a spatial resolution of ≈1 × 1 km. These temperature data were utilized to compute the annual absolute maximum temperature recorded for each crop season (maximum air temperature).…”

Section: Methodsmentioning

confidence: 99%

Climate risks to soy‐maize double‐cropping due to Amazon deforestation

Leite‐Filho,

Soares‐Filho,

de Oliveira

2024

Intl Journal of Climatology

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Deforestation in the Brazilian Amazon (BA) for cattle and soybean production has significant consequences for the various aspects of the climate system. Land surface modifications due to deforestation directly influence surface energy and moisture availability, hence impacting rainfall patterns, air temperature and the onset of the agricultural rainy season. Here, we assess the forest loss‐related climate risks for the first and second crop seasons of the soy‐maize double cropping system in the BA. We utilized long‐term, daily, remote sensed climate data and annual land‐use maps as input for a machine learning algorithm to isolate the signal of forest loss on the climate. Our findings indicate that forest loss in the BA intensifies the risks of climate change from the local to the regional geographical scale, with the impact being more pronounced at the regional scale. Between 1999 and 2019, largely deforested regions exhibited a delay of approximately 76 days in the onset of the agricultural rainy season. These regions also experienced a 360 mm decrease in rainfall and an increase in maximum air temperature of 2.5°C. In view of these results, there are collective advantages of halting deforestation. Conservation of the Amazon Forest is vital for maintaining the early onset of the agricultural rainy season, favourable temperatures and adequate rainfall volume needed for attaining high yields in the soy‐maize double cropping system.

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“…Daily maximum air temperatures (

{T_{\max}}_{i, j, t}

Section: Methodsmentioning

confidence: 99%

Climate risks to soy‐maize double‐cropping due to Amazon deforestation

Leite‐Filho,

Soares‐Filho,

de Oliveira

2024

Intl Journal of Climatology

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“…We calculated the climatology (precipitation) for the sites of our study (Table 1) using data from the New Improved Brazilian Daily Weather Gridded Data (2000-2020) (Xavier et al, 2016(Xavier et al, , 2022. The calculation was performed by the average of the monthly sums during the entire period .…”

Section: Climatologymentioning

confidence: 99%

Greening and Water Use Efficiency during a period of high frequency of droughts in the Brazilian semi-arid

Rezende,

Alves,

Barbosa

et al. 2023

Front. Water

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A discussion that has occurred in the scientific community is that despite the increase in the frequency of droughts, the semi-arid world may be increasing the density of vegetation due to fertilization by the increase in atmospheric CO2, a phenomenon called “greening.” Through this study, we sought to evaluate and discuss whether this “greening” would also be occurring in the Brazilian semiarid and what would be its contribution or counterpoint about droughts. Another topic covered was Water Use Efficiency (WUE), about its contribution to mitigating droughts. We chose eight study areas in which the native vegetation was preserved for periods of around 20 years or more. We used data from the Leaf Area Index (LAI), Gross Primary Productivity (GPP), precipitation, evaporation, transpiration, and soil moisture. We divided into two distinct periods to calculate the means of these variables. We applied the Standardized Precipitation Index (SPI) to identify the frequency of droughts for the period from 1961 to 2020. It was observed that between 2001 and 2020, there was an increase in the relative frequency of extreme and exceptional droughts around 19 and 11%, respectively. Our results showed evidence of “greening” for only two sites that were less impacted by droughts, and it seems that the CO2 fertilizer effect could not compensate for the scarcity of water in the other locations of our study. However, WUE was present in almost all sites, which may be a factor in mitigating the impacts of the high frequency of droughts.

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“…In South America, only few efforts have been undertaken to create gridded temperature datasets, mainly because of the low density of weather stations or the lack of long-term data series. However, there are significant advances in the construction of gridded datasets in countries such as Brazil 33 , 34 , Chile 35 , and Bolivia 36 , 37 . For Peru, only two databases exist currently.…”

Section: Background and Summarymentioning

confidence: 99%

High-resolution grids of daily air temperature for Peru - the new PISCOt v1.2 dataset

Huerta,

Aybar,

Imfeld

et al. 2023

Sci Data

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Gridded high-resolution climate datasets are increasingly important for a wide range of modelling applications. Here we present PISCOt (v1.2), a novel high spatial resolution (0.01°) dataset of daily air temperature for entire Peru (1981–2020). The dataset development involves four main steps: (i) quality control; (ii) gap-filling; (iii) homogenisation of weather stations, and (iv) spatial interpolation using additional data, a revised calculation sequence and an enhanced version control. This improved methodological framework enables capturing complex spatial variability of maximum and minimum air temperature at a more accurate scale compared to other existing datasets (e.g. PISCOt v1.1, ERA5-Land, TerraClimate, CHIRTS). PISCOt performs well with mean absolute errors of 1.4 °C and 1.2 °C for maximum and minimum air temperature, respectively. For the first time, PISCOt v1.2 adequately captures complex climatology at high spatiotemporal resolution and therefore provides a substantial improvement for numerous applications at local-regional level. This is particularly useful in view of data scarcity and urgently needed model-based decision making for climate change, water balance and ecosystem assessment studies in Peru.

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New improved Brazilian daily weather gridded data (1961–2020)

Cited by 46 publications

References 42 publications

Climate risks to soy‐maize double‐cropping due to Amazon deforestation

Climate risks to soy‐maize double‐cropping due to Amazon deforestation

Greening and Water Use Efficiency during a period of high frequency of droughts in the Brazilian semi-arid

High-resolution grids of daily air temperature for Peru - the new PISCOt v1.2 dataset

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