Broadband albedo

doi:10.1016/b978-0-12-815826-5.00006-4

Cited by 3 publications

(2 citation statements)

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“…The annual and seasonal albedo trends in the Sanjiang Plain from 1982 to 2015 were derived using the GLASS surface albedo dataset based on the Theil-Sen and Mann-Kendal methods. It has been demonstrated that long-term surface albedo datasets are critically important for evaluating land surface albedo trends (Liu et al, 2012). The variation of surface albedo can be considered a combination of long-term trends and short-term fluctuations.…”

Section: Uncertainty In Land Surface Albedo Trendsmentioning

confidence: 99%

“…The albedo datasets derived from satellite observations can be applied to great advantage in the analysis of global or regional surface albedo trends (He et al, 2014;Hu et al, 2015;Hu et al, 2019). Nevertheless, the accuracy and uncertainty of the analysis results have largely been determined by the temporal span of the surface albedo datasets (Liu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data

Zhang

2020

Chin. Geogr. Sci.

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As a key parameter for indicating the fraction of surface-reflected solar incident radiation, land surface albedo plays an important role in the Earth's surface energy budget (SEB). Since the Sanjiang Plain has been severely affected by human activities (e.g., reclamation and shrinking of wetlands), it is important to assess the spatiotemporal variations of surface albedo in this region using a long-term remote sensing dataset. In order to investigate the surface albedo climatology, trends, and mechanisms of change, we evaluated the surface albedo variations in the Sanjiang Plain, China from 1982 to 2015 using the Global LAnd Surface Satellite (GLASS) broadband surface albedo product. The results showed that: 1) an increasing annual trend (+0.000 58/yr) of surface albedo was discovered in the Sanjiang Plain based on the GLASS albedo dataset, with a much stronger increasing trend (+0.001 26/yr) occurring during the winter. Most of the increasing trends occurred over the cultivated land, unused land, and land use conversion types located in the northeastern Sanjiang Plain. 2) The increasing trend of land surface albedo in Sanjiang Plain can be largely explained by the changes of both snow cover extent and land use. The surface albedo in winter is highly correlated with the snow cover extent in the Sanjiang Plain, and the increasing trend of surface albedo can be further enhanced by the land use changes.

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Section: Uncertainty In Land Surface Albedo Trendsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data

Zhang

2020

Chin. Geogr. Sci.

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Basic Concept of Optical Materials: Classification, Properties and Applications

Ningthoujam,

Tyagi

2023

Indian Institute of Metals Series

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Assessing bare-ice albedo simulated by MAR over the Greenland ice sheet (2000–2021) and implications for meltwater production estimates

et al. 2022

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Abstract. Surface mass loss from the Greenland ice sheet (GrIS) has accelerated over the past decades, mainly due to enhanced surface melting and liquid water runoff in response to atmospheric warming. A large portion of runoff from the GrIS originates from exposure of the darker bare ice in the ablation zone when the overlying snow melts, where surface albedo plays a critical role in modulating the energy available for melting. In this regard, it is imperative to understand the processes governing albedo variability to accurately project future mass loss from the GrIS. Bare-ice albedo is spatially and temporally variable and contingent on non-linear feedbacks and the presence of light-absorbing constituents. An assessment of models aiming at simulating albedo variability and associated impacts on meltwater production is crucial for improving our understanding of the processes governing these feedbacks and, in turn, surface mass loss from Greenland. Here, we report the results of a comparison of the bare-ice extent and albedo simulated by the regional climate model Modèle Atmosphérique Régional (MAR) with satellite imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) for the GrIS below 70∘ N. Our findings suggest that MAR overestimates bare-ice albedo by 22.8 % on average in this area during the 2000–2021 period with respect to the estimates obtained from MODIS. Using an energy balance model to parameterize meltwater production, we find this bare-ice albedo bias can lead to an underestimation of total meltwater production from the bare-ice zone below 70∘ N of 42.8 % during the summers of 2000–2021.

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Broadband albedo

Cited by 3 publications

References 102 publications

Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data

Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data

Basic Concept of Optical Materials: Classification, Properties and Applications

Assessing bare-ice albedo simulated by MAR over the Greenland ice sheet (2000–2021) and implications for meltwater production estimates

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