Comparison of sensible and latent heat fluxes from optical-microwave scintillometers and eddy covariance systems with respect to surface energy balance closure

Zheng, Chen; Liu, Shaomin; Song, Lisheng; Xu, Ziwei; Guo, Jingxin; Ma, Yanfei; Ju, Qian; Wang, Jiemin

doi:10.1016/j.agrformet.2023.109345

Cited by 16 publications

(3 citation statements)

References 84 publications

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“…However, few studies have been developed to evaluate the plant-environment interaction using the energy balance method, some with Opuntia spp. [13,14] and some with other species and ecosystems that include Cactaceae [15][16][17][18]. Consoli et al [13] evaluated ecophysiological variables and energy balance in an irrigated crop of O. ficus-indica under a semi-arid climate in Sicily (Italy).…”

Section: Introductionmentioning

confidence: 99%

Monitoring Energy Balance, Turbulent Flux Partitioning, Evapotranspiration and Biophysical Parameters of Nopalea cochenillifera (Cactaceae) in the Brazilian Semi-Arid Environment

Jardim

Morais

Souza

et al. 2023

Plants

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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.

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Section: Introductionmentioning

confidence: 99%

Monitoring Energy Balance, Turbulent Flux Partitioning, Evapotranspiration and Biophysical Parameters of Nopalea cochenillifera (Cactaceae) in the Brazilian Semi-Arid Environment

Jardim

Morais

Souza

et al. 2023

Plants

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“…The data processing steps from scintillometer measurements to surface fluxes are as follows: raw data to light intensity variance; light intensity variance to the structure parameter of the refractive index of air (C 2 n ); C 2 n to meteorological data; and, finally, obtaining surface fluxes combining the meteorologi- cal data. Four steps are taken to ensure the quality of scintillometer data (Liu et al, 2011;Zheng et al, 2023): (1) excluding data for C 2 n beyond the saturation criterion, (2) excluding data obtained during periods of precipitation, (3) excluding data when the demodulated signal is small, and (4) excluding data when the sensor is malfunctioning. The steps of the meteorological gradient observation system and AWS data processing and quality control were twofold: (1) all of the AWS data were averaged over an interval of 10 min for a total of 144 records per day (missing data were denoted by −6999) and (2) the unphysical data were rejected (gaps were denoted by −6999).…”

Section: Data Processing and Quality Controlmentioning

confidence: 99%

A dataset of energy, water vapor, and carbon exchange observations in oasis–desert areas from 2012 to 2021 in a typical endorheic basin

Liu,

Xu,

Che

et al. 2023

Earth Syst. Sci. Data

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Abstract. Oases and deserts generally act as a landscape matrix and mosaic in arid and semiarid regions. The significant difference in thermal and dynamic characteristics between an oasis and desert surface will result in oasis–desert interaction. Specifically, this refers to the interaction between an oasis and desert system via the exchange of momentum, energy, water, and carbon, which can lead to a series of microclimate effects that affect the structure of the atmospheric boundary layer, changes in carbon sources and sinks in an oasis, and the local ecological environment. Therefore, studying water, heat, and carbon exchange is significant to achieve the goals of carbon peaking and carbon neutrality in oasis–desert areas and support the ecological security and sustainable development of oases. To monitor energy, water vapor, and carbon exchange between the land surface and atmosphere, a land surface process integrated observatory network was established in the oasis–desert area in the middle and lower reaches of the Heihe River basin, the second largest endorheic basin in China. In this study, we present a suite of observational datasets from artificial and natural oasis–desert systems that consist of long-term energy, water vapor, carbon and methane fluxes as well as auxiliary data involving hydrometeorology, vegetation, and soil parameters from 2012 to 2021. Half-hourly turbulent flux data were acquired by an eddy covariance system and scintillometer. The hydrometeorological data (including radiation, soil heat flux, and soil temperature profiles; gradients of air temperature and humidity and of wind speed and direction; and air pressure, precipitation, and soil moisture profiles) were observed from automatic weather stations with a 10 min average period as well as the groundwater table data. Moreover, vegetation and soil parameters were also supplemented in the datasets. Careful data processing and quality control were implemented during data production, including data collection, processing, archiving, and sharing. The current datasets can be used to explore the water–heat–carbon process and its mechanism of influence; to calibrate and validate related remote-sensing products; to simulate energy, water vapor, and carbon exchange in oasis and desert areas; and to provide references and representatives for other similar artificial and natural oases along the “Silk Road”. The data are available from the National Tibetan Plateau Third Pole Environment: https://doi.org/10.11888/Terre.tpdc.300441 (Liu et al., 2023).

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“…In the 1990s, high-precision CO 2 -H 2 O infrared analyzers were conducted to synchronously monitor the water vapor and CO 2 fluxes, which was a significant breakthrough and innovation in the EC observation technology [4,5]. The EC method has a high accuracy for estimating the sensible heat and latent heat flux, but the required instruments and sensors are expensive [6,7].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Two Surface Renewal Methods for Calculating the Sensible Heat Flux over a Tea Field Ecosystem in Hilly Terrain

et al. 2023

Agronomy

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Seasonal drought happens frequently in the lower slope hilly areas of China, which leads to a huge economic loss to China’s famous tea production. An accurate determination of the evapotranspiration (ET) value of different seasons can provide a crucial decision parameter for irrigation management. The surface renewal (SR) method is an accurate and inexpensive method compared with the eddy covariance (EC) method, which is widely used to calculate the sensible heat flux (H). The latent heat flux (LE) evapotranspiration can be estimated indirectly when combined with the energy–balance equation. This research investigated the traditional and improved calculation methods of H (SRsnyder and SRchen), based on the surface renewal theory, over a tea field for one year. The calculation accuracy was obtained from the statistical analysis between the SR and EC methods. Different months’ applicability was evaluated to determine the best calculation method for the tea field. The traditional calculation method (SRsnyder) is based on the van slope model using the second, third, and fifth structure function. The improved SR model (SRchen) introduces a third order temperature function and friction velocity for calculation. The results indicate that SRchen shows a good calculation accuracy of H in the spring seasons (February to April), summer (May to July), and autumn (August to October). The determination coefficients of regression analysis (R2) ranges were [0.66, 0.88] with most values greater than 0.8. The root mean square error (RMSE) ranges were [34.15, 69.22] W/m2. However, during this period, SRsnyder had a poor calculation accuracy of H, and the range of R2 was [0.45, 0.74] with the RMSE ranges of [32.28, 63.25] W/m2. In the winter (November to January), the calculation accuracy of both models was relatively low with R2 almost 30% lower than that of other seasons. Therefore, this study suggests the use of the SRchen method to estimate the H of a tea field ecosystem in the low slope hilly area of the Yangtze River region in the spring, summer, and autumn. While in the winter, the SRsnyder method is recommended.

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Comparison of sensible and latent heat fluxes from optical-microwave scintillometers and eddy covariance systems with respect to surface energy balance closure

Cited by 16 publications

References 84 publications

Monitoring Energy Balance, Turbulent Flux Partitioning, Evapotranspiration and Biophysical Parameters of Nopalea cochenillifera (Cactaceae) in the Brazilian Semi-Arid Environment

Monitoring Energy Balance, Turbulent Flux Partitioning, Evapotranspiration and Biophysical Parameters of Nopalea cochenillifera (Cactaceae) in the Brazilian Semi-Arid Environment

A dataset of energy, water vapor, and carbon exchange observations in oasis–desert areas from 2012 to 2021 in a typical endorheic basin

Evaluation of Two Surface Renewal Methods for Calculating the Sensible Heat Flux over a Tea Field Ecosystem in Hilly Terrain

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