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Spatiotemporal characteristics and driving factors of global planetary albedo: an analysis using the Geodetector method
- Source :
- Theoretical and Applied Climatology. 147:737-752
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- As an important parameter of the Earth’s energy budget, the planetary albedo of Earth varies with the dynamics of atmospheric and surface variables. In this study, we investigated the spatiotemporal characteristics and driving factors of the global planetary albedo using the Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) dataset and the Geodetector method. The results revealed that the planetary albedo can be decomposed into atmospheric and surface contributions, and the planetary albedo in the middle and low latitudes was predominantly affected by the atmospheric contribution. The global planetary albedo and the atmospheric and surface contributions exhibited decreasing trends of − 0.0020, − 0.0015, and − 0.0004/decade from 2001 to 2018, respectively, which were closely related to the variations of atmospheric and surface variables. The cloud fraction was the driving factor of the atmospheric contribution in the middle and low latitudes, and its influence was further enhanced by the aerosol optical thickness (AOT), ice water path (IWP), and liquid water path (LWP). The snow/ice coverage and normalized difference vegetation index (NDVI) were the driving factors of the surface contribution in the snow/ice-covered and vegetated areas, respectively. The interaction relationships between the surface variables were mainly bi-enhanced and nonlinearly enhanced. These results provide useful information about the driving factors of the planetary albedo and are benefit for improving the parametrization of the planetary albedo.
- Subjects :
- Atmospheric Science
Albedo
Snow
Energy budget
Atmospheric sciences
Normalized Difference Vegetation Index
Physics::Geophysics
Aerosol
Latitude
Physics::Space Physics
Environmental science
Parametrization (atmospheric modeling)
Liquid water path
Astrophysics::Earth and Planetary Astrophysics
Physics::Atmospheric and Oceanic Physics
Subjects
Details
- ISSN :
- 14344483 and 0177798X
- Volume :
- 147
- Database :
- OpenAIRE
- Journal :
- Theoretical and Applied Climatology
- Accession number :
- edsair.doi...........481ce989641ab948593ad18d267d4e56