Land Use /Land Cover Driven Surface Energy Balance and Convective Rainfall Change in South Florida

Spatiotemporal distributions of water consumption for various land use-cover types over the Eastern province of Saudi Arabia were estimated using Surface Energy Balance Algorithm. Water consumption of various land use and cover classes shows similar seasonal dynamic trends. The spatial distribution of annual actual evapotranspiration (AET) shows low values in the Empty Quarter (231–438 mm/yr), and moderate values in the Eastern Province borders (439–731 mm/yr). Very high AET values were observed in irrigated croplands in the Northern plains, Hafar Al-Batin, the central coastal lowlands, and the southern coastal lowlands, where annual AET ranged from 732 to 1,790 mm/yr, representing the majority of the study area agricultural land. Evaporative behavior of land use-cover types indicated that irrigated cropland, which occupies 0.37% of the study area, has an average daily AET ranging from 9.2 mm/day in January to a maximum value in April (30 mm/day). Average annual water use by irrigated cropland is relatively very high and it is roughly 1,786.9 mm/yr, while water bodies, which cover 0.023% (121.2 km2) of the study area, also had relatively high mean AET (660.8 mm/yr). Overall, AET rates for irrigated cropland are much higher than for other land uses.

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Modeling the impact of land use and climate change on neighborhood-scale evaporation and nighttime cooling: A surface energy balance approach

Landscape and Urban Planning ◽

10.1016/j.landurbplan.2011.07.005 ◽

2011 ◽

Vol 103 (2) ◽

pp. 139-155 ◽

Cited By ~ 39

Author(s):

Lily A. House-Peters ◽

Heejun Chang

Keyword(s):

Climate Change ◽

Land Use ◽

Energy Balance ◽

Surface Energy ◽

Surface Energy Balance ◽

Balance Approach ◽

Neighborhood Scale ◽

The Impact ◽

Energy Balance Approach

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Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain)

Hydrology and Earth System Sciences Discussions ◽

10.5194/hessd-6-1165-2009 ◽

2009 ◽

Vol 6 (1) ◽

pp. 1165-1196 ◽

Cited By ~ 22

Author(s):

J. van der Kwast ◽

W. Timmermans ◽

A. Gieske ◽

Z. Su ◽

A. Olioso ◽

...

Keyword(s):

Energy Balance ◽

Surface Energy ◽

Land Cover ◽

Surface Energy Balance ◽

Sensible Heat Flux ◽

Surface Energy Fluxes ◽

Balance System ◽

Wide Range ◽

Source Models ◽

Flux Measurements

Abstract. Accurate quantification of the amount and spatial variation of evapotranspiration is important in a wide range of disciplines. Remote sensing based surface energy balance models have been developed to estimate turbulent surface energy fluxes at different scales. The objective of this study is to evaluate the Surface Energy Balance System (SEBS) model on a landscape scale, using tower-based flux measurements at different land cover units during an overpass of the ASTER sensor over the SPARC 2004 experimental site in Barrax (Spain). Additionally, the effect of replacement of empirical roughness functions in the model by field estimates or literature values is investigated. Modelled fluxes correspond better with flux measurements over uniform land cover compared to cases where different land covers are mixed in the measurement footprint. Furthermore SEBS underestimates sensible heat flux, which is common in one source models.

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Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain)

Hydrology and Earth System Sciences ◽

10.5194/hess-13-1337-2009 ◽

2009 ◽

Vol 13 (7) ◽

pp. 1337-1347 ◽

Cited By ~ 76

Author(s):

J. van der Kwast ◽

W. Timmermans ◽

A. Gieske ◽

Z. Su ◽

A. Olioso ◽

...

Keyword(s):

Heat Flux ◽

Energy Balance ◽

Surface Energy ◽

Land Cover ◽

Surface Energy Balance ◽

Sensible Heat Flux ◽

Sensible Heat ◽

Balance System ◽

Flux Measurements ◽

Aerodynamic Parameters

Abstract. Accurate quantification of the amount and spatial variation of evapotranspiration is important in a wide range of disciplines. Remote sensing based surface energy balance models have been developed to estimate turbulent surface energy fluxes at different scales. The objective of this study is to evaluate the Surface Energy Balance System (SEBS) model on a landscape scale, using tower-based flux measurements at different land cover units during an overpass of the ASTER sensor over the SPARC 2004 experimental site in Barrax (Spain). A sensitivity analysis has been performed in order to investigate to which variable the sensible heat flux is most sensitive. Taking into account their estimation errors, the aerodynamic parameters (hc, z0M and d0) can cause large deviations in the modelling of sensible heat flux. The effect of replacement of empirical derivation of these aerodynamic parameters in the model by field estimates or literature values is investigated by testing two scenarios: the Empirical Scenario in which empirical equations are used to derive aerodynamic parameters and the Field Scenario in which values from field measurements or literature are used to replace the empirical calculations of the Empirical Scenario. In the case of a homogeneous land cover in the footprints of the measurements, the Field Scenario only resulted in a small improvement, compared to the Empirical Scenario. The Field Scenario can even worsen the result in the case of heterogeneous footprints, by creating sharp borders related to the land cover map. In both scenarios modelled fluxes correspond better with flux measurements over uniform land cover compared to cases where different land covers are mixed in the measurement footprint. Furthermore SEBS underestimates sensible heat flux especially over dry and sparsely vegetated areas, which is common in single-source models.

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Investigating the relationship between soil moisture and evapotranspiration at different surfaces. Do we improve fluxes just improving the land use in models?

10.5194/egusphere-egu2020-5566 ◽

2020 ◽

Author(s):

Carlos Román-Cascón ◽

Marie Lothon ◽

Fabienne Lohou ◽

Aurore Brut ◽

Oscar Hartogensis ◽

...

Keyword(s):

Land Use ◽

Soil Moisture ◽

Energy Balance ◽

Surface Energy ◽

Surface Energy Balance ◽

Physiological State ◽

Sensible Heat Flux ◽

Surface Fluxes ◽

Wave Radiation ◽

The South

A correct spatial representation of the surface energy balance is still a challenge. In a first step, and assuming a correct knowledge of the incoming short-wave radiation, it is the land cover that mostly controls the albedo and the long-wave radiation emitted to the atmosphere, influencing significantly the net radiation available at the surface and the surface temperature. In a second step, the partitioning of this energy into evapotranspiration and sensible heat flux is, in part, controlled by the availability of soil moisture but also by the type, characteristics and physiological state of the vegetation covering the surface, since plants provide a pathway for soil moisture to the atmosphere through transpiration.Hence, to correctly model the surface energy balance, we face three main challenges: an appropriate representation of the land use, soil moisture and a correct modelling of how plants regulate their stomatal behaviour under different soil-moisture limited conditions.In this work, by using in situ data we explore the relations between soil moisture and evapotranspiration from several vegetation types at different soil-moisture limited regions: a wetter area in the south of France and a drier one in the south of Spain. For this, we try to distinguish different periods and vegetation states. Since significant differences are observed for the various plant types, we investigate whether using a more realistic and higher-resolution land-use database in the Weather Research and Forecasting (WRF) model improves the simulation of soil moisture and surface fluxes.

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Land Use Classification: A Surface Energy Balance and Vegetation Index Application to Map and Monitor Irrigated Lands

Remote Sensing ◽

10.3390/rs9121256 ◽

2017 ◽

Vol 9 (12) ◽

pp. 1256 ◽

Cited By ~ 10

Author(s):

Mahesh Pun ◽

Denis Mutiibwa ◽

Ruopu Li

Keyword(s):

Land Use ◽

Energy Balance ◽

Surface Energy ◽

Vegetation Index ◽

Surface Energy Balance ◽

Land Use Classification ◽

Irrigated Lands

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Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China

Land ◽

10.3390/land9090280 ◽

2020 ◽

Vol 9 (9) ◽

pp. 280

Author(s):

Shenghui Zhou ◽

Ke Wang ◽

Shiqi Yang ◽

Wenli Li ◽

Yuxuan Zhang ◽

...

Keyword(s):

Land Use ◽

Energy Balance ◽

Surface Energy ◽

Energy Budget ◽

Human Activities ◽

Radiative Forcing ◽

Surface Energy Balance ◽

Land Use Intensity ◽

Human Land Use ◽

Land Use Types

Human land use intensity affects the surface energy balance by changing the biogeophysical parameters. This study used Moderate Resolution Imaging Spectroradiometer remote sensing data and surface energy balance algorithms to quantify changes in surface energy budgets corresponding to changes in land use in Beijing from 2000 to 2015. Land use was reclassified by considering land use intensity. The difference in the latent heat flux (LE) and net radiation (Rn) (LE−Rn) expressed the warming or cooling effect. The results showed that: (i) The increasing trend of net longwave radiation in Beijing offset the decreasing trend of net shortwave radiation. The Rn changed slightly, while the LE and LE−Rn showed a significant increase of 0.55 and 0.56 W/(m²∙year), respectively. The findings indicated that considering only radiative forcing, or even Rn, was not enough to measure the impacts of land use change on the energy budget. (ii) The order of Rn, LE, and LE−Rn values from high to low were natural and seminatural areas, cropland, mixed pixel areas, urban expansion areas, and old urban areas. Compared with natural and seminatural areas, the changing LE−Rn trend in the other four land use types decreased with the increase in human impact intensity, indicating that human activities weakened the positive change trend of LE−Rn and increased the warming effect. (iii) Although the temporal trend of LE increased in Beijing from 2000 to 2015, the effect of Rn on LE−Rn was greater than that of LE, especially in the four land use types affected by human activities. The results for surface temperature in various land use types confirmed this point. This study highlights the energy budget differences of various land use types affected by human activities. It makes an important contribution to understanding the urban heat island effect from a biogeophysical perspective.

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INFLUENCE OF FOREST COVERAGE IN THE SURFACE ALBEDO

FLORESTA ◽

10.5380/rf.v50i1.60595 ◽

2019 ◽

Vol 50 (1) ◽

pp. 1011

Author(s):

Elisiane Alba ◽

Juliana Marchesan ◽

Mateus Sabadi Schuh ◽

José Augusto Spiazzi Favarin ◽

Emanuel Araújo Silva ◽

...

Keyword(s):

Land Use ◽

Energy Balance ◽

Land Cover ◽

Surface Albedo ◽

Surface Energy Balance ◽

Native Forest ◽

Landsat 8 ◽

Climatic Variable ◽

Climatic Variations ◽

Forest Coverage

The surface albedo controls the energy balance between the surface and the atmosphere, being a primordial variable to identify climatic variations. The objective of this study was to evaluate the changes of the surface albedo in different Land Use and Land Cover in the Atlantic Forest biome from images TM/Landsat 5 and OLI/Landsat 8, verifying its variation in 30 years. The images used were path-row 221-080, which covered the Floresta Nacional de São Francisco de Paula on the dates of 1987 and 2017. The albedo was obtained by the method of the Surface Energy Balance Algorithm for Land, while the mapping of Land Use and Land Cover was performed by the Bhattacharyya algorithm, identifying four thematic classes. Finally, the albedo was crossed with the thematic classes, evidencing their variation in function of the changes in the land cover. The surface albedo ranged from 6 to 22%, but the year 1987 concentrated albedo values higher than in 2017. The native forest presented superior albedo to the Forest Plantations in both dates due to the structure of the canopy of this class. The spatial analysis of the albedo exposes the relation of this climatic variable to the cover of the terrestrial surface. Thus changes in the vegetation cover cause alterations in the albedo, influencing changes in the radiation and atmospheric fluxes.

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The Role of CO2 and Dynamic Vegetation on the Impact of Temperate Land-Use Change in the HadCM3 Coupled Climate Model

Earth Interactions ◽

10.1175/ei-d-15-0036.1 ◽

2016 ◽

Vol 20 (10) ◽

pp. 1-20 ◽

Cited By ~ 10

Author(s):

Edward Armstrong ◽

Paul Valdes ◽

Jo House ◽

Joy Singarayer

Keyword(s):

Land Use ◽

Energy Balance ◽

Land Use Change ◽

Surface Energy ◽

Surface Energy Balance ◽

Climate Model ◽

Atmospheric Co2 ◽

Vegetation Distribution ◽

Coupled Climate Model ◽

The Impact

Abstract Human-induced land-use change (LUC) alters the biogeophysical characteristics of the land surface influencing the surface energy balance. The level of atmospheric CO2 is expected to increase in the coming century and beyond, modifying temperature and precipitation patterns and altering the distribution and physiology of natural vegetation. It is important to constrain how CO2-induced climate and vegetation change may influence the regional extent to which LUC alters climate. This sensitivity study uses the HadCM3 coupled climate model under a range of equilibrium forcings to show that the impact of LUC declines under increasing atmospheric CO2, specifically in temperate and boreal regions. A surface energy balance analysis is used to diagnose how these changes occur. In Northern Hemisphere winter this pattern is attributed in part to the decline in winter snow cover and in the summer due to a reduction in latent cooling with higher levels of CO2. The CO2-induced change in natural vegetation distribution is also shown to play a significant role. Simulations run at elevated CO2, yet present-day vegetation show a significantly increased sensitivity to LUC, driven in part by an increase in latent cooling. This study shows that modeling the impact of LUC needs to accurately simulate CO2-driven changes in precipitation and snowfall and incorporate accurate, dynamic vegetation distribution.

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