RESUMEN

The SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm was applied with MODIS images and gridded weather data from 2007 to 2021, to monitor the energy balance components and their anomalies, in the Atlantic Forest (AF) and Caatinga (CT) biomes inside the coastal agricultural growing zone, Northeast Brazil. Considering the long-term data, the Rn values between the biomes are not significantly different, however presenting distinct Rn partitions into latent (λE), sensible (H), and ground (G) heat fluxes between biomes. The Rn values annual averages are 9.40 ± 0.21 and 9.50 ± 0.23 MJ m-2 d-1, for AF and CT, respectively. However, for respectively AF and CT, they are respectively 5.10 ± 1.14 MJ m-2 d-1 and 4.00 ± 0.99 MJ m-2 d-1 for λE; 3.80 ± 1.12 MJ m-2 d-1 and 5.00 ± 1.00 MJ m-2 d-1 for H; 0.50 ± 0.12 MJ m-2 d-1 and 0.40 ± 0.10 MJ m-2 d-1 for G, yielding respective mean evaporative fraction (Ef = λE/(Rn - G) values of 0.60 ± 0.12 and 0.50 ± 0.15. Anomalies on λE, H, and Ef were detected through standardized index for these energy balance components by comparing the results for the years 2018 to 2021 with the long-term values from 2007 to each of these years, showing that the energy fluxes between surfaces and the lower atmosphere, and then the root-zone moisture conditions for both biomes, may strongly vary along seasons and years, with alternate positive and negative anomalies. These assessments are important for water policies as they can picture suitable periods and places for rainfed agriculture as well as the irrigation needs in irrigated agriculture, allowing rational agricultural environmental management while minimizing water competitions among other water users, under climate and land-use changes conditions.

RESUMEN

The in-situ quantification of turbulent flux and evapotranspiration (ET) is necessary to monitor crop performance in stressful environments. Although cacti can withstand stressful conditions, plant responses and plant-environment interactions remain unclear. Hence, the objective of our study was to investigate the interannual and seasonal behaviour of components of the surface energy balance, environmental conditions, morphophysiological parameters, biomass yield and water relations in a crop of Nopalea cochenillifera in the semi-arid region of Brazil. The data were collected from a micrometeorological tower between 2015 and 2017. The results demonstrate that net radiation was significantly higher during the wet season. Latent heat flux was not significant between the wet season and dry season. During the dry-wet transition season in particular, sensible heat flux was higher than during the other seasons. We observed a large decline in soil heat flux during the wet season. There was no difference in ET during the wet or dry seasons; however, there was a 40% reduction during the dry-wet transition. The wet seasons and wet-dry transition showed the lowest Evaporative Stress Index. The plants showed high cladode water content and biomass during the evaluation period. In conclusion, these findings indicate high rates of growth, high biomass and a high cladode water content and explain the response of the cactus regarding energy partitioning and ET.

RESUMEN

In the Amazon region, the estimation of radiation fluxes through remote sensing techniques is hindered by the lack of ground measurements required as input in the models, as well as the difficulty to obtain cloud-free images. Here, we assess an approach to estimate net radiation (Rn) and its components under all-sky conditions for the Amazon region through the Surface Energy Balance Algorithm for Land (SEBAL) model utilizing only remote sensing and reanalysis data. The study period comprised six years, between January 2001-December 2006, and images from MODIS sensor aboard the Terra satellite and GLDAS reanalysis products were utilized. The estimates were evaluated with flux tower measurements within the Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) project. Comparison between estimates obtained by the proposed method and observations from LBA towers showed errors between 12.5% and 16.4% and 11.3% and 15.9% for instantaneous and daily Rn, respectively. Our approach was adequate to minimize the problem related to strong cloudiness over the region and allowed to map consistently the spatial distribution of net radiation components in Amazonia. We conclude that the integration of reanalysis products and satellite data, eliminating the need for surface measurements as input model, was a useful proposition for the spatialization of the radiation fluxes in the Amazon region, which may serve as input information needed by algorithms that aim to determine evapotranspiration, the most important component of the Amazon hydrological balance.

RESUMEN

This study aims to estimate the components of net radiation in two regions located in the state of Rondônia (southwest of the Brazilian Amazon), using Moderate Resolution Imaging Spectroradiometer (MODIS/TERRA) data based on Surface Energy Balance Algorithms for Land (SEBAL) model, and to validate the results with information acquired by the micrometeorological towers of LBA under the conditions of pasture (Fazenda Nossa Senhora Aparecida) and forest (Reserva Biológica do Jaru). Implementation of SEBAL model was performed directly on the MODIS data and included steps involving the computation of vegetation indices, albedo and atmospheric transmittance. Comparison between estimates from MODIS data and the observations showed relative errors for the condition of pasture between 0.2 and 19.2%, and for the condition of forest ranging between 0.8 and 15.6%. The integration of data at different scales was a useful proposition for the estimation and spatialization of the radiation fluxes in the Amazon region, which may contribute to a better understanding of the interaction between Amazon rainforest and atmosphere, and generate input information needed to the surface models coupled to atmospheric general circulation models.(AU)

Este estudo tem como objetivo estimar os componentes do balanço de radiação em duas regiões do estado de Rondônia (sudoeste da Amazônia brasileira), a partir de dados do Moderate Resolution Imaging Spectroradiometer (MODIS/TERRA) por intermédio do modelo Surface Energy Balance Algorithms for Land (SEBAL), e validar os resultados com informações adquiridas por torres micrometeorológicas do projeto LBA sob as condições de pastagem (Fazenda Nossa Senhora Aparecida) e floresta (Reserva Biológica do Jaru). A implementação do modelo SEBAL foi realizada diretamente sobre os dados MODIS e incluiu etapas envolvendo o cômputo de índices de vegetação, albedo e transmitância atmosférica. A comparação das estimativas geradas a partir de dados MODIS com as observações resultou em erros relativos para a condição de pastagem variando entre 0,2 e 19,2%, e para a condição de floresta variando entre 0,8 e 15,6%. A integração de dados em diferentes escalas constituiu uma proposição útil para a estimativa e espacialização dos fluxos de radiação na região amazônica, o que pode contribuir para a melhor compreensão da interação entre a floresta tropical e a atmosfera e gerar informações de entrada necessárias aos modelos de superfície acoplados aos modelos de circulação geral da atmosfera.(AU)

RESUMEN

This study aims to estimate the components of net radiation in two regions located in the state of Rondônia (southwest of the Brazilian Amazon), using Moderate Resolution Imaging Spectroradiometer (MODIS/TERRA) data based on Surface Energy Balance Algorithms for Land (SEBAL) model, and to validate the results with information acquired by the micrometeorological towers of LBA under the conditions of pasture (Fazenda Nossa Senhora Aparecida) and forest (Reserva Biológica do Jaru). Implementation of SEBAL model was performed directly on the MODIS data and included steps involving the computation of vegetation indices, albedo and atmospheric transmittance. Comparison between estimates from MODIS data and the observations showed relative errors for the condition of pasture between 0.2 and 19.2%, and for the condition of forest ranging between 0.8 and 15.6%. The integration of data at different scales was a useful proposition for the estimation and spatialization of the radiation fluxes in the Amazon region, which may contribute to a better understanding of the interaction between Amazon rainforest and atmosphere, and generate input information needed to the surface models coupled to atmospheric general circulation models.

Este estudo tem como objetivo estimar os componentes do balanço de radiação em duas regiões do estado de Rondônia (sudoeste da Amazônia brasileira), a partir de dados do Moderate Resolution Imaging Spectroradiometer (MODIS/TERRA) por intermédio do modelo Surface Energy Balance Algorithms for Land (SEBAL), e validar os resultados com informações adquiridas por torres micrometeorológicas do projeto LBA sob as condições de pastagem (Fazenda Nossa Senhora Aparecida) e floresta (Reserva Biológica do Jaru). A implementação do modelo SEBAL foi realizada diretamente sobre os dados MODIS e incluiu etapas envolvendo o cômputo de índices de vegetação, albedo e transmitância atmosférica. A comparação das estimativas geradas a partir de dados MODIS com as observações resultou em erros relativos para a condição de pastagem variando entre 0,2 e 19,2%, e para a condição de floresta variando entre 0,8 e 15,6%. A integração de dados em diferentes escalas constituiu uma proposição útil para a estimativa e espacialização dos fluxos de radiação na região amazônica, o que pode contribuir para a melhor compreensão da interação entre a floresta tropical e a atmosfera e gerar informações de entrada necessárias aos modelos de superfície acoplados aos modelos de circulação geral da atmosfera.

RESUMEN

The quantification of the available energy in the environment is important because it determines photosynthesis, evapotranspiration and, therefore, the final yield of crops. Instruments for measuring the energy balance are costly and indirect estimation alternatives are desirable. This study assessed the Deardorff's model performance during a cycle of a sugarcane crop in Piracicaba, State of São Paulo, Brazil, in comparison to the aerodynamic method. This mechanistic model simulates the energy fluxes (sensible, latent heat and net radiation) at three levels (atmosphere, canopy and soil) using only air temperature, relative humidity and wind speed measured at a reference level above the canopy, crop leaf area index, and some pre-calibrated parameters (canopy albedo, soil emissivity, atmospheric transmissivity and hydrological characteristics of the soil). The analysis was made for different time scales, insolation conditions and seasons (spring, summer and autumn). Analyzing all data of 15 minute intervals, the model presented good performance for net radiation simulation in different insolations and seasons. The latent heat flux in the atmosphere and the sensible heat flux in the atmosphere did not present differences in comparison to data from the aerodynamic method during the autumn. The sensible heat flux in the soil was poorly simulated by the model due to the poor performance of the soil water balance method. The Deardorff's model improved in general the flux simulations in comparison to the aerodynamic method when more insolation was available in the environment.

A quantificação da energia disponível no ambiente é importante porque ela afeta a fotossíntese, a evapotranspiração e conseqüentemente a produtividade final dos cultivos. Instrumentos para medidas de balanço de energia são caros e alternativas para estimações são desejáveis. O presente trabalho procura avaliar a performance do modelo de Deardorff (1978) ao longo do desenvolvimento de uma cultura de cana-de-açúcar em Piracicaba, SP, Brasil, em comparação ao método aerodinâmico. Este modelo mecanístico simula os fluxos energéticos (calor sensível, latente e saldo de radiação) em três níveis: a atmosfera, o dossel vegetativo e o solo, usando somente a temperatura do ar, umidade relativa e velocidade do vento medidos num nível de referência acima do dossel, o índice de área foliar e alguns parâmetros previamente calibrados (albedo do dossel, emissividade do solo e a transmissividade atmosférica e características hidrológicas do solo). As análises dos resultados foram feitas em diversas escalas de tempo, condições de insolação, nas diferentes estações do ano (primavera, verão, outono). Analisando todos os dados de 15 minutos, o modelo apresentou boa performance na simulação de radiação líquida em diferentes condições de insolação e estações do ano. O fluxo de calor latente e o fluxo de calor sensível na atmosfera não apresentaram diferenças em comparação ao método aerodinâmico no outono. O calor sensível no solo foi pobremente simulado pelo modelo devido à baixa capacidade de estimação do balanço hídrico do solo. Geralmente as estimações pelo modelo de Deardorff foram melhoradas quando mais insolação era disponível no ambiente.

RESUMEN

The quantification of the available energy in the environment is important because it determines photosynthesis, evapotranspiration and, therefore, the final yield of crops. Instruments for measuring the energy balance are costly and indirect estimation alternatives are desirable. This study assessed the Deardorff's model performance during a cycle of a sugarcane crop in Piracicaba, State of São Paulo, Brazil, in comparison to the aerodynamic method. This mechanistic model simulates the energy fluxes (sensible, latent heat and net radiation) at three levels (atmosphere, canopy and soil) using only air temperature, relative humidity and wind speed measured at a reference level above the canopy, crop leaf area index, and some pre-calibrated parameters (canopy albedo, soil emissivity, atmospheric transmissivity and hydrological characteristics of the soil). The analysis was made for different time scales, insolation conditions and seasons (spring, summer and autumn). Analyzing all data of 15 minute intervals, the model presented good performance for net radiation simulation in different insolations and seasons. The latent heat flux in the atmosphere and the sensible heat flux in the atmosphere did not present differences in comparison to data from the aerodynamic method during the autumn. The sensible heat flux in the soil was poorly simulated by the model due to the poor performance of the soil water balance method. The Deardorff's model improved in general the flux simulations in comparison to the aerodynamic method when more insolation was available in the environment.

A quantificação da energia disponível no ambiente é importante porque ela afeta a fotossíntese, a evapotranspiração e conseqüentemente a produtividade final dos cultivos. Instrumentos para medidas de balanço de energia são caros e alternativas para estimações são desejáveis. O presente trabalho procura avaliar a performance do modelo de Deardorff (1978) ao longo do desenvolvimento de uma cultura de cana-de-açúcar em Piracicaba, SP, Brasil, em comparação ao método aerodinâmico. Este modelo mecanístico simula os fluxos energéticos (calor sensível, latente e saldo de radiação) em três níveis: a atmosfera, o dossel vegetativo e o solo, usando somente a temperatura do ar, umidade relativa e velocidade do vento medidos num nível de referência acima do dossel, o índice de área foliar e alguns parâmetros previamente calibrados (albedo do dossel, emissividade do solo e a transmissividade atmosférica e características hidrológicas do solo). As análises dos resultados foram feitas em diversas escalas de tempo, condições de insolação, nas diferentes estações do ano (primavera, verão, outono). Analisando todos os dados de 15 minutos, o modelo apresentou boa performance na simulação de radiação líquida em diferentes condições de insolação e estações do ano. O fluxo de calor latente e o fluxo de calor sensível na atmosfera não apresentaram diferenças em comparação ao método aerodinâmico no outono. O calor sensível no solo foi pobremente simulado pelo modelo devido à baixa capacidade de estimação do balanço hídrico do solo. Geralmente as estimações pelo modelo de Deardorff foram melhoradas quando mais insolação era disponível no ambiente.