Performance evaluation of the SITE® model to estimate energy flux in a tropical semi-deciduous forest of the southern Amazon Basin

Sanches, Luciana; Andrade, Nara Luísa Reis de; Costa, Marcos Heil; Alves, Marcelo de Carvalho; Gaio, Denilton

doi:10.1007/s00484-010-0337-x

Cited by 4 publications

(5 citation statements)

References 32 publications

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“…The model was run twice, and the specific forecasts of each season were merged. These discrepancies in the non-calibrated model happened mainly because under conditions of low water availability a higher portion of the net solar radiation is converted to H. Our results were consistent with observational analysis in a tropical semi-deciduous forest in the southern Amazon Basin performed according to the literature [53]. These authors reported that LE was overestimated by 40% and H was underestimated by 66%.…”

Section: Daily Variations and Seasonal Dynamics Of Simulated Energy Fluxessupporting

confidence: 87%

“…This may explain the slight overestimation of LE after 12h00 in the wet season (Figure 3C). Similar difficulties when adjusting the hourly data variability was reported in flux simulations using the SITE model in a tropical semi-deciduous forest in the southern Amazon Basin [53] and also using other models, such as the Noah-MP, over a forest site in the Amazon [67] and integrated biosphere simulator (IBIS) for a Brazilian semiarid region [68].…”

Section: Daily Variations and Seasonal Dynamics Of Simulated Energy Fluxessupporting

confidence: 56%

“…Thus, the use of specific parameters (e.g., reduced initial fraction of soil moisture-θg/θd) during the calibration of the model was necessary to improve its performance in simulating LE. The same issue when adjusting variations in H and LE values during the dry season was reported for simulations of energy fluxes using the SITE model in a semi-deciduous tropical forest in the Amazon [53].…”

Section: Daily Variations and Seasonal Dynamics Of Simulated Energy Fluxesmentioning

confidence: 73%

“…Based on previous sensitivity analysis [52][53][54], we chose to calibrate only the parameters most likely to influence the result of the model: initial fraction of moisture in the soil (θg/θd), coefficient of stomatal conductance (m), maximum capacity of the Rubisco enzyme (V max ), typical dimension of leaves (d u ), typical dimension of stems (d s ), leaf width (w), and specific leaf area (SLA). Parametrization of the model followed the original parametrization included in the model SITE.…”

Section: Description Of Site Model and Site Specific Biophysical Parametersmentioning

confidence: 99%

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Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

Mendes

Campos

Mutti

et al. 2021

Forests

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Although seasonally dry tropical forests are considered invaluable to a greater understanding of global carbon fluxes, they remain as one of the ecosystems with the fewest observations. In this context, ecological and ecosystem models can be used as alternative methods to answer questions related to the interactions between the biosphere and the atmosphere in dry forests. The objective of this study was to calibrate the simple tropical ecosystem model (SITE) and evaluate its performance in characterizing the annual and seasonal behavior of the energy and carbon fluxes in a preserved fragment of the Caatinga biome. The SITE model exhibited reasonable applicability to simulate variations in CO2 and energy fluxes (r > 0.7). Results showed that the calibrated set of vegetation parameters adequately simulated gross primary productivity (GPP) and net ecosystem CO2 exchange (NEE). The SITE model was also able to accurately retrieve the time at which daily GPP and NEE peaked. The model was able to simulate the partition of the available energy into sensible and latent heat fluxes and soil heat flux when the calibrated parameters were used. Therefore, changes in the dynamics of dry forests should be taken into consideration in the modeling of ecosystem carbon balances.

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Section: Daily Variations and Seasonal Dynamics Of Simulated Energy Fluxessupporting

confidence: 87%

Section: Daily Variations and Seasonal Dynamics Of Simulated Energy Fluxessupporting

confidence: 56%

Section: Daily Variations and Seasonal Dynamics Of Simulated Energy Fluxesmentioning

confidence: 73%

Section: Description Of Site Model and Site Specific Biophysical Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

Mendes

Campos

Mutti

et al. 2021

Forests

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“…Burton et al, 2009;Gaughan et al, 2009;Orlandini et al, 2009). Recent issues of the International Journal of Biometeorology display the wide range of topics covered by this discipline; for example, in a recent issue of this journal, topics ranged from estimates of energy fluxes in a semi-deciduous forest (Sanches et al, 2011) to the influence of atmospheric states in semi-arid regions on mental disorders (Yackerson et al, 2011).…”

Section: Biometeorology/bioclimatologymentioning

confidence: 99%

Biogeosciences survey

Martin

Johnson

2012

Progress in Physical Geography: Earth and Environment

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The biogeosciences are a rapidly expanding field, and for this reason the full scope of possible topics falling under this heading is not always recognized. The biogeosciences cover all fields of the biological sciences and their interactions with the relevant Earth spheres (i.e. atmosphere, hydrosphere, lithosphere), and are studied over a wide range of temporal and spatial scales. While interdisciplinary work has been recognized for many years, it is recommended that all biogeosciences studies should ultimately strive to understand process operation and feedbacks, and in doing so a common ground to approaches of study can be defined. The notion of multidisciplinary versus interdisciplinary research is considered herein. It is by following an approach of explanation-based science that the complex interplay of biological and environmental processes can be understood best. Understanding of system behaviour and functioning should be a core goal of biogeosciences research. This review offers a proposed classification and summary of the full range of topics falling under the umbrella of the biogeosciences, and in doing so sets the stage for a future series of progress reports focusing on recent developments in the biogeosciences.

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Identifying Outliers of the MODIS Leaf Area Index Data by Including Temporal Patterns in Post-Processing

Ma,

2023

Remote Sensing

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The moderate resolution imaging spectroradiometer (MODIS) calculates the leaf area index (LAI) for each pixel without incorporating the temporal correlation information, leading to a higher sensitivity for the LAI that produces uncertainties in observed reflectance. As a result, an increased noise level is observed in the timeseries, making the data discontinuous and inconsistent in space and time. Therefore, it is important to identify and handle the outliers during the post-processing of MODIS data. This study proposed a method to identify the MODIS LAI outliers based on the analyses of temporal patterns, including the interannual and seasonal changes in the LAI. The analysis was carried out utilizing the data from 278 global MODIS LAI sites and the results were verified against the measurement obtained from 52 ground stations. The results from the analyses detected 50 and 92 outliers based on 1.5σ and 1.0σ standard deviations, respectively, of the difference between the MODIS LAI and ground measurements; correspondingly, 46 and 65 outliers, respectively, were identified by incorporating temporal patterns during the post-processing of the data. The validation results exhibited improved values of the coefficient of determination (R2) after eliminating the MODIS LAI outliers identified through the interannual and seasonal patterns. Specifically, the R2 between the ground measurement LAI and MODIS LAI increased from 0.51 to 0.54, 0.88, and 0.90 after eliminating MODIS LAI outliers when considering the interannual patterns, seasonal patterns, and both the interannual and seasonal patterns, respectively. The results from the study provided valuable information and theoretical support to improve MODIS LAI post-processing.

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Performance evaluation of the SITE® model to estimate energy flux in a tropical semi-deciduous forest of the southern Amazon Basin

Cited by 4 publications

References 32 publications

Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

Assessment of SITE for CO2 and Energy Fluxes Simulations in a Seasonally Dry Tropical Forest (Caatinga Ecosystem)

Biogeosciences survey

Identifying Outliers of the MODIS Leaf Area Index Data by Including Temporal Patterns in Post-Processing

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