Modelling air temperature for the state of São Paulo, Brazil

Rodríguez‐Lado, Luis; Sparovek, Gerd; Vidal‐Torrado, Pablo; Neto, Durval Dourado; Macías-Vázquez, Felipe

doi:10.1590/s0103-90162007000500002

Cited by 20 publications

(7 citation statements)

References 10 publications

(10 reference statements)

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“…The Cantareira Water Supply System, hereafter referred to as the Cantareira System, is located in the South-East of Brazil between the states of Sao Paulo and Minas Gerais (-46.9 to -45.7 longitude and -22.5 -23.5 latitude). The regional climate is classified as subtropicalsub-humid, with a maximum annual average temperature of 25 °C and a minimum annual average of 15 °C (Blain, 2010;Rodríguez-Lado et al, 2007). On the other hand, the rainfall in the Southeast of Brazil presents an annual cycle, with maximum rainfall from December to February (summer) and minimum rainfall from June to August (winter).…”

Section: Study Area and Water Crisis Contextualizationmentioning

confidence: 99%

Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios

Arias

Mohor

Taffarello

et al. 2017

Preprint

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10Climate variability and increasing water demands prioritize the need to implement planning 11 strategies for urban water security in the long and medium term. However, actions to manage 12 the drought risk impacts entail great complexity, such as the calculation of economic losses The model framework is applied to the Cantareira Water Supply System for Sao Paulo 27Metropolitan Region, Brazil, with severe vulnerability to droughts. By using hydrological

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Section: Study Area and Water Crisis Contextualizationmentioning

confidence: 99%

Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios

Arias

Mohor

Taffarello

et al. 2017

Preprint

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“…The low relative air humidity can result in the evaporation of pesticide and/or the water before the product can reach the target. According to Lado et al (2007), the time of day has an important influence on the levels of relative air humidity, since in the first hours of the morning, the temperatures are lower and the relative air humidity levels are higher. Through the course of the day, the temperature tends to rise and the humidity tends to decrease.…”

Section: Resultsmentioning

confidence: 99%

Pesticide application windows in the region of Uberlândia-MG, Brazil

Cunha¹,

Pereira²,

Barbosa³

et al. 2016

Biosci. J.

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ABSTRACT:The success of the pesticide application is subject to meteorological conditions. The objective of this work was to determine the application windows suitable for carrying out the application of pesticides, using as parameters the analysis of historical data (2009)(2010)(2011)(2012)(2013)(2014) of air temperature, relative air humidity, wind speed, and rainfall of Uberlândia-MG. With an electronic spreadsheet, and using the ideal meteorological conditions for applying pesticides (an air temperature above 30°C, relative air humidity above 55%, wind speed between 3 and 12 km h -1 , and rainfall data lower than 0.2 mm h -1 ) as a parameter, the data were crossed with the aim to determine the times of day that weather conditions were ideal to obtain better efficiency in the application. According to the results, the relative air humidity was the main restricting criterion for the application windows, which are concentrated, on average, between 18:00 and 12:00 in the summer, and between 24:00 and 9:00 in the winter. The number of viable hours for a good application varied from 35 in the first fortnight of September to 198 in the second fortnight of March, demonstrating the great variability among the application windows throughout the year, which makes the generic recommendations of spraying time inadequate if the month of the year is not taken into consideration.

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“…The MLR results for precision ( r 2 ) and accuracy ( d and RMSE) of spatial interpolation of air temperature were better or similar to values previously reported for Brazil (Lima and Ribeiro, 1998; Pezzopane et al ., 2004; Medeiros et al ., 2005; Rodríguez‐Lado et al ., 2007; Lyra et al ., 2011; Alvares et al ., 2013a) or for other countries (Ninyerola et al ., 2000; Kloog et al ., 2014), besides having identified the altitude as a dominant factor.…”

Section: Discussionmentioning

confidence: 99%

Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing

Bohn

Lyra

Oliveira‐Júnior

et al. 2020

Intl Journal of Climatology

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Desertification is a serious threat to human development and sustainability. This process is characterized by land degradation over areas with dry sub-humid, semiarid and arid climate. In this work, climate susceptibility to desertification was identified for the state of Rio de Janeiro (SRJ), Brazil, the third most populated state in the country. The state is characterized by complex topography, and diverse climate and land uses. Two formulations for the aridity index were used: I a , defined by Thornthwaite (1948, Geographical Review, 38(1), 55-94) and Penman (1953, Horticultural Congress, 2, 913-924), and D, a modification of I a by Hare (1983, Climate and Desertification: A Revised Analysis, Geneva: World Meteorological Organization). Both estimates of the aridity require annual rainfall and potential evapotranspiration, which were calculated from the climatological water balance using times series of rainfall and air temperature (1961-2010) from 98 stations over the SRJ. Annual rainfall, evapotranspiration, water deficit and the aridity indices were then spatially interpolated over a 5 × 5-km grid using a spline tension method. Both indices agree on the driest regions of the SRJ: Norte and Baixada Litorânea, near the northern coast, both under sub-humid and semi-arid climate. The index I a indicated susceptibility to desertification over 2,305 km 2 on the Norte and Baixada Litorânea regions, which correspond to 5% of SRJ area; similarly, the index D classified a smaller area over the Norte region under desertification (431 km 2). These subregions, among the others also considered in this study, are of great importance for the agricultural, forestry and tourism industries and contribute immensely to the economic development of the state. Hence, the evaluation of susceptibility to desertification in those areas is essential to help prevent further land degradation and support policies formulation on long-term sustainable management of land and water resources, especially under regional and global climate change scenarios. The methodology used in this work can be applied to studies of desertification in other regions of the world.

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Modelling air temperature for the state of São Paulo, Brazil

Cited by 20 publications

References 10 publications

Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios

Economic impacts of drought risks for water utilities through Severity-Duration-Frequency framework under climate change scenarios

Pesticide application windows in the region of Uberlândia-MG, Brazil

Desertification susceptibility over Rio de Janeiro, Brazil, based on aridity indices and geoprocessing

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