Reference Evapotranspiration by Penman–monteith Fao 56 With Missing Data of Global Radiation

Souza, Adilson Pacheco de; Tanaka, Adriana Aki; Silva, A. C. da; Uliana, Eduardo Morgan; Almeida, Frederico Terra de; Gomes, Anthony Wellington Almeida; Klar, Antônio Evaldo

doi:10.18011/bioeng2016v10n2p217-233

Cited by 5 publications

(4 citation statements)

References 52 publications

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“…In contrast, our results showed a decrease in the RMSE to 0.27 mm day -1 , after selecting the best method to estimate Rs in this zone. The research of A. P. de Souza et al (2016) had similar findings in humid conditions in the Mato Grosso State: among the methods used to estimate Rs, the method proposed by De Jong and Stewart (1993) resulted in the lowest RMSE on PM-ETo calculations.…”

Section: Estimation Of Daily Eto When Rs And/or Vpd Are Missing (Peri...supporting

confidence: 54%

Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes

Vásquez

Célleri

Córdova

et al. 2022

Agricultural Water Management

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Section: Estimation Of Daily Eto When Rs And/or Vpd Are Missing (Peri...supporting

confidence: 54%

Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes

Vásquez

Célleri

Córdova

et al. 2022

Agricultural Water Management

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“…The state of Mato Grosso, located in the Center-West region of Brazil, has a large territorial extension and insertion in the area of occurrence of the phytophysiognomies of the Pantanal Complex, savannah formations (Cerrado) and Amazonian formations, distributed in three distinct climatic types (Af -humid equatorial climate, Aw -tropical savannah climate, and Cwa -tropical climate) [21]. In addition to its great ecological diversity, the State stands out in agricultural production, being the largest grain producer in Brazil [22], although there is a lack of research focused on the variability and impacts of climate change on evapotranspiration [23,24].…”

Section: Introductionmentioning

confidence: 99%

Reference Evapotranspiration in Climate Change Scenarios in Mato Grosso, Brazil

Sabino,

Silva,

Almeida

et al. 2024

Preprint

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The understanding of spatiotemporal variations in reference evapotranspiration (ETo) and its long-term trends is of paramount importance for water cycle studies, modeling, and water resource management, especially in the context of climate change. Therefore, the primary aim of this study is to critically evaluate the performance of various CMIP5 global climate models in simulating the Penman-Monteith reference evapotranspiration and its associated climate variables (maximum and minimum air temperature, incident solar radiation, relative humidity, and wind speed). This evaluation is based on data from nine climate models and 33 automatic meteorological stations (EMA) in the state of Mato Grosso, spanning the period 2007-2020. The statistical metrics used for evaluation include Bias, root mean square error, and Pearson and Spearman correlation coefficients. The projections of the most accurate model were then used to analyze the spatial and temporal changes and trends in ETo under the RCP 2.6, 4.5, and RCP 8.5 scenarios from 2007 to 2100. The HadGEM2-ES model projections indicate static averages similar to current conditions until the end of the century in the RCP 2.6 scenario. However, in the RCP 4.5 and 8.5 scenarios, there is a continuous increase in ETo, with the most significant increase occurring during the dry period (May to September). The areas of the Amazon biome in the north of Mato Grosso exhibit the largest increases in ETo when comparing the observed (2007-2020) and projected (2020-2100) averages. The trend analysis reveals significant changes in ETo and its variables across the state of Mato Grosso in the RCP 4.5 and 8.5 scenarios. In the RCP 2.6 scenario, significant trends in ETo are observed only in the northern Amazon areas. Despite not being observed in all AWSs, the trend analysis of the observed data demonstrates more intense changes in ETo and the existence of the evapotranspiration paradox with an increase in the Cerrado areas and reductions in the Pantanal and southern Amazon areas.

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“…The main economic activity in the state is agricultural production, with Mato Grosso being the largest grain producer in Brazil [43]. However, despite the high demand for water resources and the potential for expanding irrigated agriculture systems, there is still a lack of research focused on the impacts that changes in climate variables have on the fluctuation of evapotranspiration in the state of Mato Grosso [44,45].…”

Section: Introductionmentioning

confidence: 99%

Global Sensitivity of Penman–Monteith Reference Evapotranspiration to Climatic Variables in Mato Grosso, Brazil

Sabino,

de Souza

2023

Earth

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Understanding how climatic variables impact the reference evapotranspiration (ETo) is essential for water resource management, especially considering potential fluctuations due to climate change. Therefore, we used the Sobol’ method to analyze the spatiotemporal variations of Penman–Monteith ETo sensitivity to the climatic variables: downward solar radiation, relative humidity, maximum and minimum air temperature, and wind speed. The Sobol’ indices variances were estimated by Monte Carlo integration, with sample limits set to the 2.5th and 97.5th percentiles of the daily data of 33 automatic weather stations located in the state of Mato Grosso, Brazil. The results of the Sobol’ analysis indicate considerable spatiotemporal variations in the sensitivity of ETo to climatic variables and their interactions. The dominant climatic variable responsible for ETo fluctuations in Mato Grosso is incident solar radiation (53% to 93% of annual total sensitivity—Stot), which has a more significant impact in humid environments (70% to 90% of Stot), as observed in the areas of the Amazon biome in the state. Air relative humidity and wind speed have higher sensitivity indices during the dry season in the Cerrado biome (savanna) areas in Mato Grosso (20% and 30% of the Stot, respectively). Our findings show that changes in solar radiation, relative humidity, and wind speed are the main driving forces that impact the reference evapotranspiration.

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Reference Evapotranspiration by Penman–monteith Fao 56 With Missing Data of Global Radiation

Cited by 5 publications

References 52 publications

Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes

Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes

Reference Evapotranspiration in Climate Change Scenarios in Mato Grosso, Brazil

Global Sensitivity of Penman–Monteith Reference Evapotranspiration to Climatic Variables in Mato Grosso, Brazil

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