Given that Xinjiang Uygur Autonomous Region of China possesses exceptionally abundant solar radiation resources that can be harnessed to develop clean energy,accurately characterizing their spatiotemporal distribution...Given that Xinjiang Uygur Autonomous Region of China possesses exceptionally abundant solar radiation resources that can be harnessed to develop clean energy,accurately characterizing their spatiotemporal distribution is crucial.This study investigated the applicability of the Clouds and the Earth's Radiant Energy System(CERES)Single Scanner Footprint TOA/Surface Fluxes and Clouds(SSF)product downward surface shortwave radiation dataset(DSSRCER)under clear-sky conditions in Xinjiang.By integrating multi-source data and utilizing techniques like multivariate fitting and model simulation,we established a two-layer aerosol model and developed a clear-sky downward surface shortwave radiation(DSSR)retrieval model specific to Xinjiang using the Santa Barbara Discrete Atmospheric Radiative Transfer(SBDART)model.We further explored the spatiotemporal distribution characteristics of DSSR under clear-sky conditions in Xinjiang from 2017 to 2019 based on the localized DSSR retrieval model.Our findings revealed a significant discrepancy in DSSRCER under clear-sky conditions at the Xiaotang station in Xinjiang.By comparing,screening,and correcting core input parameters while incorporating the two-layer aerosol model,we achieved a more accurate SBDART simulated DSSR(DSSRSBD)compared to DSSRCER.The annual mean DSSR exhibited a distinct distribution pattern with high values in mountainous regions such as the Altay Mountains,Kunlun Mountains,and Tianshan Mountains and significantly lower values in adjacent lowland areas,including the Tarim River Basin and Junggar Basin.In the four typical administrative regions in northern Xinjiang,the annual mean DSSR(ranging from 551.60 to 586.09 W/m^(2))was lower than that in the five typical administrative regions in southern Xinjiang(ranging from 522.10 to 623.62 W/m^(2)).These spatial variations stem from a complex interplay of factors,including latitude,altitude,solar altitude angle,and sunshine duration.The variations in seasonal average DSSR aligned closely with variations in the solar altitude angle,with summer(774.76 W/m^(2))exhibiting the highest values,followed by spring(684.86 W/m^(2)),autumn(544.76 W/m^(2)),and winter(422.74 W/m^(2)).The monthly average DSSR showed a unimodal distribution,peaking in June(792.94 W/m^(2))and reaching its lowest level in December(363.06 W/m^(2)).Overall,our study findings enhance the current understanding of the spatiotemporal distribution characteristics of DSSR in Xinjiang and provide certain references for the management of clean energy development in this region.展开更多
基金supported by the Science and Technology Planning Program of Xinjiang,China(2022E01047)the Natural Science Basic Research Program of Shaanxi(2025JC-YBQN-404)+2 种基金the 2025 Shaanxi Special Research Project of Philosophy and Social Sciences(2025QN0573)the Scientific Research Program Funded by Education Department of Shaanxi Provincial Government(23JK0625)the National Natural Science Foundation of China(42030612)。
文摘Given that Xinjiang Uygur Autonomous Region of China possesses exceptionally abundant solar radiation resources that can be harnessed to develop clean energy,accurately characterizing their spatiotemporal distribution is crucial.This study investigated the applicability of the Clouds and the Earth's Radiant Energy System(CERES)Single Scanner Footprint TOA/Surface Fluxes and Clouds(SSF)product downward surface shortwave radiation dataset(DSSRCER)under clear-sky conditions in Xinjiang.By integrating multi-source data and utilizing techniques like multivariate fitting and model simulation,we established a two-layer aerosol model and developed a clear-sky downward surface shortwave radiation(DSSR)retrieval model specific to Xinjiang using the Santa Barbara Discrete Atmospheric Radiative Transfer(SBDART)model.We further explored the spatiotemporal distribution characteristics of DSSR under clear-sky conditions in Xinjiang from 2017 to 2019 based on the localized DSSR retrieval model.Our findings revealed a significant discrepancy in DSSRCER under clear-sky conditions at the Xiaotang station in Xinjiang.By comparing,screening,and correcting core input parameters while incorporating the two-layer aerosol model,we achieved a more accurate SBDART simulated DSSR(DSSRSBD)compared to DSSRCER.The annual mean DSSR exhibited a distinct distribution pattern with high values in mountainous regions such as the Altay Mountains,Kunlun Mountains,and Tianshan Mountains and significantly lower values in adjacent lowland areas,including the Tarim River Basin and Junggar Basin.In the four typical administrative regions in northern Xinjiang,the annual mean DSSR(ranging from 551.60 to 586.09 W/m^(2))was lower than that in the five typical administrative regions in southern Xinjiang(ranging from 522.10 to 623.62 W/m^(2)).These spatial variations stem from a complex interplay of factors,including latitude,altitude,solar altitude angle,and sunshine duration.The variations in seasonal average DSSR aligned closely with variations in the solar altitude angle,with summer(774.76 W/m^(2))exhibiting the highest values,followed by spring(684.86 W/m^(2)),autumn(544.76 W/m^(2)),and winter(422.74 W/m^(2)).The monthly average DSSR showed a unimodal distribution,peaking in June(792.94 W/m^(2))and reaching its lowest level in December(363.06 W/m^(2)).Overall,our study findings enhance the current understanding of the spatiotemporal distribution characteristics of DSSR in Xinjiang and provide certain references for the management of clean energy development in this region.
