Retrieval of Reflected Shortwave Radiation at the Top of the Atmosphere Using Himawari-8/AHI Data

Abstract

This study developed a retrieval algorithm for reflected shortwave radiation at the top of the atmosphere (RSR). This algorithm is based on Himawari-8/AHI (Advanced Himawari Imager) whose sensor characteristics and observation area are similar to the next-generation Geostationary Korea Multi-Purpose Satellite/Advanced Meteorological Imager (GK-2A/AMI). This algorithm converts the radiance into reflectance for six shortwave channels and retrieves the RSR with a regression coefficient look-up-table according to geometry of the solar-viewing (solar zenith angle, viewing zenith angle, and relative azimuth angle) and atmospheric conditions (surface type and absence/presence of clouds), and removed sun glint with high uncertainty. The regression coefficients were calculated using numerical experiments from the radiative transfer model (SBDART), and ridge regression for broadband albedo at the top of the atmosphere (TOA albedo) and narrowband reflectance considering anisotropy. The retrieved RSR were validated using Terra, Aqua, and S-NPP/CERES data on the 15th day of every month from July 2015 to February 2017. The coefficient of determination (R 2 ) between AHI and CERES for scene analysis was higher than 0.867 and the Bias and root mean square error (RMSE) were −21.34-5.52 and 51.74-59.28 Wm −2 . The R 2 , Bias, and RMSE for the all cases were 0.903, −2.34, and 52.12 Wm −2 , respectively.

Comparison of Aqua/Terra MODIS and Himawari-8 Satellite Data on Cloud Mask and Cloud Type Classification Using Split Window Algorithm

“…The influence of sun glint is mostly negligible in the Japan area since the Terra MODIS observation is performed around 10:30 local time. As such, other studies have successfully removed the sun glint effects from AHI [46] and MODIS data [44,47]. Figure 6 shows the results of the nighttime cloud mask of Aqua and Himawari-8 datasets in January (5) and August (10).…”

Remote sensing of earth’s energy budget: synthesis and review

“…The multispectral sensors aboard both polar-orbiting and geostationary satellites have also been used to estimate EEB radiative fluxes, such as the Medium-Resolution Infrared Radiometer (MRIR) experiment on the Nimbus 2 and 3 spacecraft (Raschke and Bandeen 1970), the Spinning Enhanced Visible and Infrared Imager (SEVIRI) radiometers onboard the METEOSAT Second Generation (MSG) satellites (Schmetz et al 2002), Geostationary Operational Environmental Satellites (GOES) (Pinker et al 2007), the Advanced Baseline Imager (ABI) carried by GOES-R that has been renamed to GOES-16 (Laszlo et al 2008), the Advanced Himawari Imager abroad Himawari-8 (Lee et al 2018), and MODIS (Wang and Liang 2016).…”

“…Compared to broadband sensors, data from multispectral radiometers are more profuse and offer higher spatial resolution. Some researchers have attempted to take advantage of such multispectral satellite imagery to retrieve planetary albedo (Lee et al 2018;Niu and Pinker 2012;Song et al 2018;Wang andLiang 2016, 2017). Niu and Pinker (2012) developed a two-step approach to first convert narrowband radiance measured by Spinning Enhanced Visible Infrared Imager (SEVIRI) to broadband radiance and then apply ADMs to retrieve TOA albedo.…”

“…This approach can produce the TOA albedo product at the native spatial resolution of the satellite data. Lee et al (2018) applied a similar method to estimate TOA albedo from Himawari-8 AHI data.…”

Assessment of Solar Pv Power Potential in the Asia Pacific Region With Remote Sensing Considering the Effects of High Temperature, Dust and Snow

“…The equation to compute s for 0<SND<12 was derived via a curve-fitting technique based on the observations of light transmission by snow made in a quasi-laboratory setting (Perovich, 2007) for wavelength of 550 nm which represents the bands of AHI-8 used in the derivation of SWR product (Frouin, Murakami, 2007;Lee et al, 2018).…”