Clear-sky land surface upward longwave radiation dataset derived from the ABI onboard the GOES–16 satellite

IF 4.2 3区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Boxiong Qin, Biao Cao, Z. Bian, Ruibo Li, Hua Li, Xueting Ran, Yongming Du, Qing Xiao, Qinhuo Liu
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引用次数: 4

Abstract

ABSTRACT Surface upward longwave radiation (SULR) is one of the four components of the surface radiation budget, which is defined as the total surface upward radiative flux in the spectral domain of 4-100 μm. The SULR is an indicator of surface thermal conditions and greatly impacts weather, climate, and phenology. Big Earth data derived from satellite remote sensing have been an important tool for studying earth science. The Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite (GOES-16) has greatly improved temporal and spectral resolution compared to the imager sensor of the previous GOES series and is a good data source for the generation of high spatiotemporal resolution SULR. In this study, based on the hybrid SULR estimation method and an upper hemisphere correction method for the SULR dataset, we developed a regional clear-sky land SULR dataset for GOES-16 with a half-hourly resolution for the period from 1st January 2018 to 30th June 2020. The dataset was validated against surface measurements collected at 65 Ameriflux radiation network sites. Compared with the SULR dataset of the Global LAnd Surface Satellite (GLASS) longwave radiation product that is generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the polar-orbiting Terra and Aqua satellites, the ABI/GOES-16 SULR dataset has commensurate accuracy (an RMSE of 15.9 W/m2 vs 19.02 W/m2 and an MBE of −4.4 W/m2 vs −2.57 W/m2), coarser spatial resolution (2 km at nadir vs 1 km resolution), less spatial coverage (most of the Americas vs global), fewer weather conditions (clear-sky vs all-weather conditions) and a greatly improved temporal resolution (48 vs 4 observations a day). The published data are available at http://www.dx.doi.org/10.11922/sciencedb.j00076.00062.
晴空地面向上长波辐射数据集来源于GOES-16卫星上的ABI
地表向上长波辐射(SULR)是地表辐射收支的四个分量之一,定义为4 ~ 100 μm谱域的地表向上总辐射通量。SULR是地表热状况的一个指标,对天气、气候和物候有很大的影响。卫星遥感获得的地球大数据已成为研究地球科学的重要工具。地球同步运行环境卫星(GOES-16)上的先进基线成像仪(ABI)与以前的GOES系列成像仪传感器相比,大大提高了时间和光谱分辨率,是生成高时空分辨率SULR的良好数据源。基于混合的SULR估计方法和对SULR数据集的上半球校正方法,我们开发了GOES-16区域晴空陆地SULR数据集,其半小时分辨率为2018年1月1日至2020年6月30日。该数据集与65个Ameriflux辐射网络站点收集的地面测量数据进行了验证。与极轨Terra和Aqua卫星上的中分辨率成像光谱仪(MODIS)产生的全球陆地表面卫星(GLASS)长波辐射产品SULR数据集相比,ABI/GOES-16 SULR数据集具有相当的精度(RMSE为15.9 W/m2 vs 19.02 W/m2, MBE为- 4.4 W/m2 vs - 2.57 W/m2),更粗的空间分辨率(最低点为2 km vs 1 km分辨率),更小的空间覆盖(大部分美洲vs全球)。更少的天气条件(晴空vs全天候条件)和大大提高的时间分辨率(每天48次vs 4次观测)。发表的数据可在http://www.dx.doi.org/10.11922/sciencedb.j00076.00062上获得。
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来源期刊
Big Earth Data
Big Earth Data Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
7.40
自引率
10.00%
发文量
60
审稿时长
10 weeks
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