Variation of surface albedo and soil thermal parameters with soil moisture content at a semi-desert site on the western Tibetan Plateau

Wang, Kaicun; Wang, Pucai; Liu, Jingmiao; Sparrow, Michael; Haginoya, Shigenori; Zhou, Xiuji

doi:10.1007/s10546-004-7403-z

Cited by 100 publications

(49 citation statements)

References 20 publications

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“…[23] The best fit coefficients A = 0.31, B = 12.7 and C = 0.15 are in the range of values found by Lobell and Asner [2002], but Wang et al [2005] reported a much lower value for the B coefficient (B = 3.52, clay soil type).…”

Section: Resultsmentioning

confidence: 99%

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Sensitivity of bare soil albedo to surface soil moisture on the moraine of the Zongo glacier (Bolivia)

Gascoin

Ducharne

Ribstein

et al. 2009

Geophysical Research Letters

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International audienceThe dependence of bare soil albedo on soil water content is investigated using in situ data collected on the moraine of an Andean glacier (Bolivia). This study demonstrates a high negative correlation between the two variables that is best approximated by an exponential function, in agreement with previous studies. More importantly, the average snow-free albedo value during the rainy season is 40% lower than during the dry season (0.16 vs. 0.26). These results are relevant for climate and land surface modeling applications, where bare soil albedo is often considered as a constant parameter

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Section: Resultsmentioning

confidence: 99%

“…[11] To the authors' knowledge, the only in situ study after Idso et al [1975] is reported by Wang et al [2005], who also showed that bare soil albedo dependence on soil moisture on the Tibetan Plateau is nonlinear, but did not observe an opposite trend at high water content (Table 1).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of bare soil albedo to surface soil moisture on the moraine of the Zongo glacier (Bolivia)

Gascoin

Ducharne

Ribstein

et al. 2009

Geophysical Research Letters

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“…Both in situ measurements and remote sensing data from satellite and aircraft platforms have shown that BSA is strongly dependent on SZA [42][43][44][45]. Figure 9b,d show the BSA simulations with different SZAs, which exhibits obvious spatial variation characteristics corresponding to the mean slope distribution (shown in Figure 9a).…”

Section: Bsa Variation With Szamentioning

confidence: 96%

Simulation and Analysis of the Topographic Effects on Snow-Free Albedo over Rugged Terrain

et al. 2018

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Topography complicates the modeling and retrieval of land surface albedo due to shadow effects and the redistribution of incident radiation. Neglecting topographic effects may lead to a significant bias when estimating land surface albedo over a single slope. However, for rugged terrain, a comprehensive and systematic investigation of topographic effects on land surface albedo is currently ongoing. Accurately estimating topographic effects on land surface albedo over a rugged terrain presents a challenge in remote sensing modeling and applications. In this paper, we focused on the development of a simplified estimation method for snow-free albedo over a rugged terrain at a 1-km scale based on a 30-m fine-scale digital elevation model (DEM). The proposed method was compared with the radiosity approach based on simulated and real DEMs. The results of the comparison showed that the proposed method provided adequate computational efficiency and satisfactory accuracy simultaneously. Then, the topographic effects on snow-free albedo were quantitatively investigated and interpreted by considering the mean slope, subpixel aspect distribution, solar zenith angle, and solar azimuth angle. The results showed that the more rugged the terrain and the larger the solar illumination angle, the more intense the topographic effects were on black-sky albedo (BSA). The maximum absolute deviation (MAD) and the maximum relative deviation (MRD) of the BSA over a rugged terrain reached 0.28 and 85%, respectively, when the SZA was 60 • for different terrains. Topographic effects varied with the mean slope, subpixel aspect distribution, SZA and SAA, which should not be neglected when modeling albedo.

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“…3c) and, therefore, are characterized by lower albedo. While albedo may have both a negative and a positive dependence on vegetation density depending on the color of bare soil that characterizes the region of study (Rechid et al, 2009), its dependence on soil moisture is clearer, wet terrain usually being less reflective than dry terrain (Lobell and Asner, 2002;Wang et al, 2005). For soil-vegetation systems, less absorbed net energy means less available energy for sensible heating and for evaporating water.…”

Section: Effect Of Vegetation On Albedomentioning

confidence: 99%

A mechanistic description of the formation and evolution of vegetation patterns

Foti

Ramı́rez

2013

Hydrol. Earth Syst. Sci.

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Abstract. Vegetation patterns are a common and welldefined characteristic of many landscapes. In this paper we explore some of the physical mechanisms responsible for the establishment of self-organized, non-random vegetation patterns that arise at the hillslope scale in many areas of the world, especially in arid and semi-arid regions. In doing so, we provide a fundamental mechanistic understanding of the dynamics of vegetation pattern formation and development. Reciprocal effects of vegetation on the hillslope thermodynamics, runoff production and run-on infiltration, root density, surface albedo and soil moisture content are analyzed. In particular, we: (1) present a physically based mechanistic description of processes leading to vegetation pattern formation; (2) quantify the relative impact of each process on pattern formation; and (3) describe the relationships between vegetation patterns and the climatic, hydraulic and topographic characteristics of the system. We validate the model by comparing simulations with observed natural patterns in the areas of Niger near Niamey and Somalia near Garoowe. Our analyses suggest that the phenomenon of pattern formation is primarily driven by run-on infiltration and mechanisms of facilitation/inhibition among adjacent vegetation groups, mediated by vegetation effects on soil properties and controls on soil moisture and albedo. Nonetheless, even in presence of those mechanisms, patterns arise only when the climatic conditions, particularly annual precipitation and net radiation, are favorable.

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Variation of surface albedo and soil thermal parameters with soil moisture content at a semi-desert site on the western Tibetan Plateau

Cited by 100 publications

References 20 publications

Sensitivity of bare soil albedo to surface soil moisture on the moraine of the Zongo glacier (Bolivia)

Sensitivity of bare soil albedo to surface soil moisture on the moraine of the Zongo glacier (Bolivia)

Simulation and Analysis of the Topographic Effects on Snow-Free Albedo over Rugged Terrain

A mechanistic description of the formation and evolution of vegetation patterns

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