A New Benchmark for Surface Radiation Products over the East Asia–Pacific Region Retrieved from the Himawari-8/AHI Next-Generation Geostationary Satellite

Abstract

Surface downward radiation (SDR), including shortwave downward radiation (SWDR) and longwave downward radiation (LWDR), is of great importance to energy and climate studies. Considering the lack of reliable SDR data with a high spatiotemporal resolution in the East Asia-Pacific (EAP) region, we derived SWDR and LWDR at 10-min and 0.05° resolutions for this region from 2016-2020 based on the next-generation geostationary satellite Himawari-8 (H-8). The SDR product is unique in terms of its all-sky features, high accuracy and high resolution levels. The cloud effect is fully considered in the SDR product, and the influence of high aerosol loadings and topography on the SWDR are considered. Compared to benchmark products of the radiation, such as Clouds and the Earth’s Radiant Energy System (CERES) and the European Centre for Medium-Range Weather Forecasts (ECMWF) next-generation reanalysis (ERA5), and the Global Land Surface Satellite (GLASS), not only is the resolution of the new SDR product notably much higher but the product accuracy is also higher than that of those products. In particular, hourly and daily root mean square errors of the new SWDR are 104.9 and 31.5 Wm−2, respectively, which are much smaller than those of CERES (at 121.6 and 38.6 Wm−2, respectively), ERA5 (at 176.6 and 39.5 Wm−2, respectively) and GLASS (daily of 36.5 Wm−2). Meanwhile, RMSEs of hourly and daily values of the new LWDR are 19.6 and 14.4 Wm−2, respectively, which are comparable to that of CERES and ERA5, and even better over high altitude regions.

Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm

“…A variety of inversion algorithms have been proposed and applied to different spaceborne instruments for further understanding of the atmospheric aerosol properties on large spatial scale (Bréon et al, 2011;Dubovik et al, 2019;King et al, 1999;Li et al, 2009). Specifically, a new cloud-and hazedetection algorithm was proposed for the geostationary satellite Himawari-8 Advanced Himawari Imager (AHI) measurements (Shang et al, 2017(Shang et al, , 2019, which had been used for the analysis of diurnal variations of haze weather and the impact of aerosol optical depth (AOD) on the estimation of cloud properties and surface short-wave radiation (Letu et al, 2019(Letu et al, , 2022. Sometimes different algorithms are proposed for the same spaceborne instruments.…”

Influence of Energy and Water Cycle Key Parameters on Drought in Mongolian Plateau during 1979–2020

“…The QA parameters of Himawari-8 Level 2 cloud product data from the Japan Aerospace Exploration Agency (JAXA) P-Tree system are used for the spatial distribution analysis of total cloud cover for the period 2003-2020, with a spatial resolution of 0.05° and a temporal resolution of 10 min [28]. Clear and probably clear conditions were defined as clear skies and probably cloudy and cloudy conditions were defined as clouds for the QA parameters.…”

Influence of multilayer cloud characteristics on cloud retrieval and estimation of surface downward shortwave radiation

“…The accuracy of the calculated DSR depends largely on the reliability of the cloud parameters (Letu et al, 2022). In cloudy conditions, the simulation using the RSTAR model on the downward shortwave radiation at the surface contains several important input parameters: solar zenith angle, COT, and effective particle radius for different phase states.…”

“…High-precision cloud microphysical parameters for different phases (ice and water clouds) are employed to derive the DSR product. The macro-and microphysical parameters of clouds with different phase states are adopted as input parameters to calculate DSR to improve its accuracy in regions covered by liquid or ice clouds (Letu et al, 2022). Due to the presence of multilayer clouds, inference of cloud microphysical properties from passive radiation measurements is compromised.…”