如何确定合适的阈值来区分夜间辐射雾、晴空地表和中高云一直是雾检测研究的重点。圣巴巴拉DISORT大气辐射传输模型(Santa Barbara DISORT atmospheric radiative transfer,SBDART)可模拟雾顶亮度温度。基于该模型获取MODIS B20与B31波...如何确定合适的阈值来区分夜间辐射雾、晴空地表和中高云一直是雾检测研究的重点。圣巴巴拉DISORT大气辐射传输模型(Santa Barbara DISORT atmospheric radiative transfer,SBDART)可模拟雾顶亮度温度。基于该模型获取MODIS B20与B31波段的亮温差(brightness temperature difference,BTD),将其用于夜间辐射雾检测。以MODIS卫星数据为可行性试验数据,用国家卫星气象中心提供的地面验证数据进行验证,结果表明,使用该模型监测夜间雾的准确率达78.3%,误判率为21.7%,可靠性指标为0.643,Kappa系数为0.730。为进一步验证方法的稳定性,选取8景卫星序列图像进行时间序列分析,结果显示Kappa系数均值为0.744,说明应用当前阈值方法对MODIS夜间雾检测具有可适用性。该方法为夜间雾预报和夜间雾参数反演提供了有效的参考。展开更多
Taking winter and summer in eastern China as an example application, a grid-cell method of aerosol direct radiative forcing（ADRF） calculation is examined using the Santa Barbara DISORT Atmospheric Radiative Transfer...Taking winter and summer in eastern China as an example application, a grid-cell method of aerosol direct radiative forcing（ADRF） calculation is examined using the Santa Barbara DISORT Atmospheric Radiative Transfer（SBDART） model with inputs from MODIS and AERONET observations and reanalysis data. Results show that there are significant seasonal and regional differences in climatological mean aerosol optical parameters and ADRF. Higher aerosol optical depth（AOD）occurs in summer and two prominent high aerosol loading centers are observed. Higher single scattering albedo（SSA） in summer is likely associated with the weak absorbing secondary aerosols. SSA is higher in North China during summer but higher in South China during winter. Aerosols induce negative forcing at the top of the atmosphere（TOA） and surface during both winter and summer, which may be responsible for the decrease in temperature and the increase in relative humidity.Values of ADRF at the surface are four times stronger than those at the TOA. Both AOD and ADRF present strong interannual variations; however, their amplitudes are larger in summer. Moreover, patterns and trends of ADRF do not always correspond well to those of AOD. Differences in the spatial distributions of ADRF between strong and weak monsoon years are captured effectively. Generally, the present results justify that to calculate grid-cell ADRF at a large scale using the SBDART model with observational aerosol optical properties and reanalysis data is an effective approach.展开更多
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
地球大气层外太阳光谱辐照度(extraterrestrial solar spectral irradiance,ESSI)数据是计算卫星传感器波段平均太阳辐照度(band mean solar irradiance,BMSI)的重要参数。为了探求利用何种来源的ESSI数据计算传感器BMSI更为准确,分别采...地球大气层外太阳光谱辐照度(extraterrestrial solar spectral irradiance,ESSI)数据是计算卫星传感器波段平均太阳辐照度(band mean solar irradiance,BMSI)的重要参数。为了探求利用何种来源的ESSI数据计算传感器BMSI更为准确,分别采用SBDART软件模拟的太阳光谱曲线数据、MODTRAN4.0 oldkur.dat文件数据、Thuillier太阳光谱曲线数据和WRC太阳光谱曲线数据计算了HJ-1A CCD1(B1—B4),CBERS-02 CCD(B1—B5),Landsat5TM(B1—B4)和ASTER(B1—B8)4种传感器的BMSI,并与传感器运营商公布的数据进行了比较。结果表明:利用SBDART和WRC太阳光谱曲线数据计算的结果误差较小;利用MODTRAN4.0 oldkur.dat数据计算的结果误差次之;利用Thuillier太阳光谱曲线的计算结果误差较大。展开更多
文摘如何确定合适的阈值来区分夜间辐射雾、晴空地表和中高云一直是雾检测研究的重点。圣巴巴拉DISORT大气辐射传输模型(Santa Barbara DISORT atmospheric radiative transfer,SBDART)可模拟雾顶亮度温度。基于该模型获取MODIS B20与B31波段的亮温差(brightness temperature difference,BTD),将其用于夜间辐射雾检测。以MODIS卫星数据为可行性试验数据,用国家卫星气象中心提供的地面验证数据进行验证,结果表明,使用该模型监测夜间雾的准确率达78.3%,误判率为21.7%,可靠性指标为0.643,Kappa系数为0.730。为进一步验证方法的稳定性,选取8景卫星序列图像进行时间序列分析,结果显示Kappa系数均值为0.744,说明应用当前阈值方法对MODIS夜间雾检测具有可适用性。该方法为夜间雾预报和夜间雾参数反演提供了有效的参考。
基金supported by the Chinese Academy of Sciences Strategic Priority Research Program(Grant No.XDA05100303)the National Natural Science Foundation of China(Grant Nos.41230419,91337213 and 41075041)the Special Funds for Public Welfare of China(Grant No.GYHY201306077)
文摘Taking winter and summer in eastern China as an example application, a grid-cell method of aerosol direct radiative forcing（ADRF） calculation is examined using the Santa Barbara DISORT Atmospheric Radiative Transfer（SBDART） model with inputs from MODIS and AERONET observations and reanalysis data. Results show that there are significant seasonal and regional differences in climatological mean aerosol optical parameters and ADRF. Higher aerosol optical depth（AOD）occurs in summer and two prominent high aerosol loading centers are observed. Higher single scattering albedo（SSA） in summer is likely associated with the weak absorbing secondary aerosols. SSA is higher in North China during summer but higher in South China during winter. Aerosols induce negative forcing at the top of the atmosphere（TOA） and surface during both winter and summer, which may be responsible for the decrease in temperature and the increase in relative humidity.Values of ADRF at the surface are four times stronger than those at the TOA. Both AOD and ADRF present strong interannual variations; however, their amplitudes are larger in summer. Moreover, patterns and trends of ADRF do not always correspond well to those of AOD. Differences in the spatial distributions of ADRF between strong and weak monsoon years are captured effectively. Generally, the present results justify that to calculate grid-cell ADRF at a large scale using the SBDART model with observational aerosol optical properties and reanalysis data is an effective approach.
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.
文摘地球大气层外太阳光谱辐照度(extraterrestrial solar spectral irradiance,ESSI)数据是计算卫星传感器波段平均太阳辐照度(band mean solar irradiance,BMSI)的重要参数。为了探求利用何种来源的ESSI数据计算传感器BMSI更为准确,分别采用SBDART软件模拟的太阳光谱曲线数据、MODTRAN4.0 oldkur.dat文件数据、Thuillier太阳光谱曲线数据和WRC太阳光谱曲线数据计算了HJ-1A CCD1(B1—B4),CBERS-02 CCD(B1—B5),Landsat5TM(B1—B4)和ASTER(B1—B8)4种传感器的BMSI,并与传感器运营商公布的数据进行了比较。结果表明:利用SBDART和WRC太阳光谱曲线数据计算的结果误差较小;利用MODTRAN4.0 oldkur.dat数据计算的结果误差次之;利用Thuillier太阳光谱曲线的计算结果误差较大。
