Abstract
Abstract. Land surface albedo plays an important role in climate change research. Satellite remote sensing has the characteristic of wide observation range, and it can make repeated observations on the same area. Therefore, using the remote sensing data to retrieve surface albedo becomes a main method to obtain the surface albedo in a wide range or even on a global scale. However, the time resolution of existing albedo products is usually low, which has a great impact on the analysis of rapid changes in surface vegetation and the climate change research. The Deep Space Climate Observatory (DSCOVR) was launched to a sun-earth first Lagrange point (L1) orbit, which is a new and unique vantage point to observe the continuously full, sunlit disk of Earth. DSCOVR can provide observation data with high time resolution, therefore, it is necessary to explore the feasibility of the new sensor DSCOVR/EPIC inversion of the daily albedo product. The relationship between the surface broadband albedo and the surface reflectance was established, and then the surface albedo with high temporal resolution was calculated using the DSCOVR/EPIC data. The Inner Mongolia Autonomous Region and parts of the Sahara Desert were selected to verify the accuracy of DSCOVR albedo compared with MODIS albedo. The results show that the correlation coefficients between DSCOVR albedo and MODIS albedo are greater than 0.7 and RMSE are less than 0.05 both in visible band and shortwave band. It can be seen that this method can be used for the albedo retrieval using DSCOVR/EPIC data.
Highlights
Land surface albedo, which is defined as the ratio of the reflected radiation to total incident radiation, is a key parameter controlling the regional and global radiation energy budget (Dickinson, 1983; Manalo-Smith et al, 1998)
3.2.3 Compared Data: The MODerate resolution Imaging Spectroradiometer (MODIS) surface albedo product (MCD43A3) is an albedo product produced by the MODLAND team of US which can be downloaded from the relevant website
Due to the inconsistent spatial resolution, the resolution of MODIS was resampled to 10 km. 3.2.4 Validation Results: Figure 2 and Figure 3 are the comparison of Deep Space Climate Observatory (DSCOVR)/Earth Polychromatic Imaging Camera (EPIC) black-sky albedo (BSA) and MODIS black-sky albedo (BSA) in the visible band and shortwave bands, respectively
Summary
Land surface albedo, which is defined as the ratio of the reflected radiation to total incident radiation, is a key parameter controlling the regional and global radiation energy budget (Dickinson, 1983; Manalo-Smith et al, 1998). There are two traditional ways to obtain surface albedo including ground-based observation and satellite remote sensing retrieval. Ground-based observations can obtain surface albedo with high spatial and temporal resolution, but the distribution of such observations is uneven and the spatial representation is small. The albedo of ground-based observations is often used to validate the accuracy of the retrieval results (Wang et al, 2010; Liu et al, 2013; Qu et al, 2014). Due to the extensive coverage of remote sensing, satellite remote sensing has become a major method of obtaining surface albedo over a wide range or even on a global scale. Albedo products are routinely derived from sensors on polar orbiting satellites such as MODerate resolution Imaging Spectroradiometer (MODIS) (Schaaf et al 2002), Polarization and Directionality of the Earth’s Reflectances (POLDER)
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