Intercomparison and uncertainty assessment of methods for estimating evapotranspiration using a high-resolution gridded weather dataset over Brazil

Monteiro, Ana Flávia Martins; Martins, Fabrina Bolzan; Torres, Roger Rodrigues; Almeida, Vitor Hugo Marrafon de; Abreu, Marcel Carvalho; Mattos, Enrique Vieira

doi:10.1007/s00704-021-03747-1

Cited by 13 publications

(11 citation statements)

References 51 publications

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“…PPT is the precipitation, ET is the real evapotranspiration and PET is the potential evapotranspiration which was calculated using the Hargreaves method because of the available measured data. Hargreaves has shown to reach acceptable estimations for Cerrado and Amazon Forest (Ferreira et al, 2021; Monteiro et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

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Impacts of the landscape changes in the low streamflows of Pantanal headwaters—Brazil

Marques

2022

Hydrological Processes

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The Upper Paraguay Basin Plateau (UPRB) concentrates the headwaters and the largest volume of rain that supply the Pantanal biome and is essential for maintaining its water regime. Given the region's changes in land use and cover, this research sought to identify their influence on headwater flows. The use of conceptual models and time series analysis showed that the replacement of natural vegetation with pasture and the more recent activity of irrigated agriculture have produced changes in the hydrological response of the headwaters. There was a decreasing tendency of low flows during dry periods, which was correlated with anthropic changes in the use and cover of the land in the region. The research results point out changes in land use and cover as the cause of a significant decrease in streamflows during drier periods. Such behaviour at the headwaters of the Pantanal can have consequences for this biome, reducing the resilience of the system against droughts and damaging the biodiversity of the biome.

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Section: Methodsmentioning

confidence: 99%

“…Hargreaves has shown to reach acceptable estimations for Cerrado and Amazon Forest (Ferreira et al, 2021;Monteiro et al, 2021).…”

Section: Identification and Attribution Of Hydrological Changes In Lo...mentioning

confidence: 99%

Impacts of the landscape changes in the low streamflows of Pantanal headwaters—Brazil

Marques

2022

Hydrological Processes

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“…For practical purposes, it is common to estimate ET, using different methods based on water balance, land surface model simulation, and satellite remote sensing. However, these methodologies have a coarse spatiotemporal resolution, inconsistency in data sources, and a gap in plant-atmosphere interactions (Monteiro et al 2021). In contrast, ET estimation methods, based on weather or climatic variables, can have high spatiotemporal resolution and can result in more accurate and representative estimates of ET (Gharbia et The standard ET estimation method recommended by the Food and Agriculture Organization (FAO), is the Penman-Monteith method parametrized in Irrigation and Drainage Bulletin nº 56 (PM -FAO56) (Allen et al 1998).…”

Section: ; Zeng Et Al 2017)mentioning

confidence: 99%

“…However, PM-FAO56 method may present disadvantages when used in climate and water balance studies that need long-term climate data (Oudin et al 2005 For the aforementioned reasons, simpler empirical methods are justi ed in the absence of input data for the PM-FAO56 method (Tanguy et al 2018). The empirical methods differ by input data, degree of complexity, functional relationships, time scale (daily or monthly), and applicability (Monteiro et al 2021). Among them, the Thornthwaite (1948) method is globally an optimum candidate because it estimates the potential evapotranspiration (PET) based solely on air temperature and photoperiod (maximum daylength) (Pereira and Camargo 1989;Pereira and Pruitt 2004;Ahmadi and Fooladmand 2008).…”

Section: ; Zeng Et Al 2017)mentioning

confidence: 99%

“…Thereby, ET is fundamental for identifying the intensity, frequency, and duration of droughts, and areas susceptible to deserti cation, and the consequences of these phenomena on different ecosystems (Beguería et al 2014). Also, ET is essential for agricultural planning and management (Todote et al 2021), soil water balance modeling (Barros et al 2021;Martins et al 2021), and for hydrological and agrometeorological models (Monteiro et al 2021).…”

Section: ; Zeng Et Al 2017)mentioning

confidence: 99%

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Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets for Rio de Janeiro state, Brazil

Santos

Abreu

et al. 2022

Preprint

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Monthly potential evapotranspiration (PET) using the Thornthwaite (ThW) method fed with gridded climate datasets was evaluated relative to PET by ThW and to reference evapotranspiration (ETo) estimated using the FAO56 Penman-Monteith method (PM-FAO56) with observed data, for Rio de Janeiro state, and neighboring states in southeast Brazil. The PM-FAO56 method used monthly climate series (1961–2010) on sunshine hours, air temperature, relative humidity, and wind speed, from 21 weather stations of the National Institute of Meteorology (INMET), in Rio de Janeiro (RJ), São Paulo (SP), Minas Gerais (MG), and Espírito Santo (ES) to estimate ETo. The estimated PET using the ThW method was based on observed air temperature from INMET stations and also using gridded air temperature datasets (1961–2010) from the Global Historical Climatology Network (GHCN) and the University of Delaware (UDel). The ETP estimates had an agreement (Willmott index) between 0.54 ≤ dw ≤ 0.96 – GHCN and 0.62 ≤ dw ≤ 0.96 - UDel; a precision between 0.44 ≤ r² ≤ 0.88 – GHCN and 0.53 ≤ r² ≤ 0.95 - UDel; and RMSE inferior to 1.39 mm d− 1 – GHCN and 1.13 mm d− 1 - UDel. The PET estimated with the UDel gridded series was better overall performance than using the GHCN product. Differences in altitude, latitude and longitude were the main geographic variables determining the precision and agreement of the PET estimates using GHCN and Udel. The gridded datasets are an alternative for locations without climatic series data or with low-quality non-continuous data series.

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Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets in Southeastern Brazil

Santos,

Abreu

et al. 2024

Theor Appl Climatol

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Intercomparison and uncertainty assessment of methods for estimating evapotranspiration using a high-resolution gridded weather dataset over Brazil

Cited by 13 publications

References 51 publications

Impacts of the landscape changes in the low streamflows of Pantanal headwaters—Brazil

Impacts of the landscape changes in the low streamflows of Pantanal headwaters—Brazil

Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets for Rio de Janeiro state, Brazil

Monthly potential evapotranspiration estimated using the Thornthwaite method with gridded climate datasets in Southeastern Brazil

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