A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland

Mallick, Kaniska; Wandera, Loise; Bhattarai, Nishan; Hostache, Renaud; Kleniewska, Małgorzata; Chormański, Jarosław

doi:10.3390/w10121753

Cited by 34 publications

(22 citation statements)

References 86 publications

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“…For SEBS, in case the dry limits were reached (Mallick et al, 2018b), zero values of LE were rejected from further analysis (see Tables A3, A4). This is done to adapt with the structural uncertainties of SEBS in estimating relative evaporation (Λ r ) under the dry limits.…”

Section: Resultsmentioning

confidence: 99%

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The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models

Trebs¹,

Mallick²,

Bhattarai

et al. 2021

Preprint

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&#8216;Aerodynamic resistance&#8217; (hereafter ra) is a preeminent variable in the modelling of evapotranspiration (ET), and its accurate quantification plays a critical role in determining the performance and consistency of thermal remote sensing-based surface energy balance (SEB) models for estimating ET at local to regional scales. Atmospheric stability links ra with land surface temperature (LST) and the representation of their interactions in the SEB models determines the accuracy of ET estimates.The present study investigates the influence of ra and its relation to LST uncertainties on the performance of three structurally different SEB models by combining nine OzFlux eddy covariance datasets from 2011 to 2019 from sites of different aridity in Australia with MODIS Terra and Aqua LST and leaf area index (LAI) products. Simulations of the latent heat flux (LE, energy equivalent of ET in W/m2) from the SPARSE (Soil Plant Atmosphere and Remote Sensing Evapotranspiration), SEBS (Surface Energy Balance System) and STIC (Surface Temperature Initiated Closure) models forced with MODIS LST, LAI, and in-situ meteorological datasets were evaluated using observed flux data across water-limited (semi-arid and arid) and radiation-limited (mesic) ecosystems.Our results revealed that the three models tend to overestimate instantaneous LE in the water-limited shrubland, woodland and grassland ecosystems by up to 60% on average, which was caused by an underestimation of the sensible heat flux (H). LE overestimation was associated with discrepancies in ra retrievals under conditions of high atmospheric instability, during which errors in LST (expressed as the difference between MODIS LST and in-situ LST) apparently played a minor role. On the other hand, a positive bias in LST coincides with low ra and causes slight underestimation of LE at the water-limited sites. The impact of ra on the LE residual error was found to be of the same magnitude as the influence of errors in LST in the semi-arid ecosystems as indicated by variable importance in projection (VIP) coefficients from partial least squares regression above unity. In contrast, our results for mesic forest ecosystems indicated minor dependency on ra for modelling LE (VIP<0.4), which was due to a higher roughness length and lower LST resulting in dominance of mechanically generated turbulence, thereby diminishing the importance of atmospheric stability in the determination of ra.

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Section: Resultsmentioning

confidence: 99%

“…In SEBS, Λ r is estimated by scaling the actual H with H for the driest (H dry ) and wettest (H wet ) conditions [Λ r = 1 -(H -H wet )/(H dry -H wet ); and H dry = Rn -G] (Su, 2002). Any condition that produces H = H dry , would tend to simulate Λ r = 0, and LE will be consequently zero (Mallick et al, 2018b).…”

Section: Resultsmentioning

confidence: 99%

The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models

Trebs¹,

Mallick²,

Bhattarai

et al. 2021

Preprint

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“…The validation data for the simulation over the upper Biebrza basin were obtained from measurements at a flux tower located within the study area, in the village of Rogozynek. This dataset proved useful in previous research studies concerning evaluation of surface energy balance and soil-vegetation-atmosphere transfer models [36] and finding a correlation between spectral indices and greenhouse gas fluxes [37].…”

Section: Validationmentioning

confidence: 88%

Continuous Daily Evapotranspiration with Optical Spaceborne Observations at Sub-Kilometre Spatial Resolution

et al. 2020

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Evapotranspiration (ET) is a key parameter in the description of the energy and water fluxes over land. Continuous and spatially detailed ET simulations are thus required for a number of scientific and management-related purposes. These conditions are determined by the modelling approach and the composition of the forcing dataset. This study aimed at simulating daily ET in a diversity of climate and land cover conditions at a spatial resolution of ∼1 km and higher. The modelling approach was based on the algorithm driving the ET product developed and set in operations in the framework of the Satellite Application Facility on Land Surface Analysis programme (LSA-SAF). The implemented algorithm allowed the ingestion of biophysical parameters derived from SPOT-V and PROBA-V observations developed by the Copernicus Global Land Programme, as well as other model parameters at a similar spatial resolution. The model was tested at an ∼1 km spatial resolution in over 40 sites located in different climate and land cover contexts. The implementation at ∼300 m was tested in the upper Biebrza basin, in Poland. The simulations correlated well with the validation dataset (r2 > 0.75 in 80% of sites) and exhibited root mean squared values lower than 1 mm/day in 80% of the cases. The results also pointed to the need for refining the accuracy of soil moisture data sources, especially in dry areas. The results showed the ability of the modelling approach and the SPOT-V/PROBA-V missions to support the generation of long ET time series. They also opened the gate to incorporate Sentinel-3 in ET continuous modelling.

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“…At the local scale, wetlands stop sediments, remove water pollution, retain water, and much more [3]. At the watershed scale, wetlands fulfil an important hydrological function by having a significant impact on different components of the watershed water balance such as snow retention [4], flood retention [5], [6], evapotranspiration [7], [8], and interception [9], [10]. At the global scale, wetlands control the global carbon cycle by accumulating a significant amount of organic carbon [11], [12] and regulate the regional climate [13].…”

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confidence: 99%

Thermal and Optical Indices for Wetland Habitats, are They Showing the Same Thing?

Ciężkowski

Kleniewska

Chormański

2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study is focused on detecting vegetation stress in natural and semi-natural riparian wetland ecosystems. Wetland ecosystems play an important role at the local and global scale. They provide various ecosystem services as long as they are in good condition. The global climate change influence a local environment, in which wetlands health become an indicator of drought conditions. Persisting adverse conditions might lead to the irreversible changes in these precious ecosystems. Hence, modern methods for the monitoring of these ecosystems are required to be developed. In scope of this study, based on basic meteorological elements (air temperature and humidity) and canopy temperature from two different platforms (meteorological tower and Landsat-8 satellite) Crop Water Stress Index (CWSI) was proposed for riparian wetland habitats and wet meadows monitoring. Study was conducted in the Upper Biebrza Basin (NE Poland). As a first step, CWSI was calculated based on meteorological measurements and compared with CWSI calculated for surrounding Landsat-8 pixels covered by the same land use type as one being in the tower sensor field of view. CWSI from both sensors were in significant agreement. In the second step of the analysis, CWSI and selected optical indices were calculated for longer period based on satellite data. Those indices were compared to test if they indicate the same conditions, or if their indications are inconsistent. Results show that CWSI and optical indices indicate different plant stress factors. Hence, for proper wetlands condition assessment still more research is required to properly assess their conditions and its causes. Index Terms-environmental monitoring, earth observing system land surface temperature, remote sensing, wetlands. I. INTRODUCTION ETLAND ecosystems providing various important ecosystem services at different spatial scales. Despite of their land small coverage (from 2% to 6% of lands depending on the definition) they are an important provider of

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A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland

Cited by 34 publications

References 86 publications

The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models

The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models

Continuous Daily Evapotranspiration with Optical Spaceborne Observations at Sub-Kilometre Spatial Resolution

Thermal and Optical Indices for Wetland Habitats, are They Showing the Same Thing?

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