本文将NASA(National Aeronautics and Space Administration)/Goddard长波辐射方案引入到GRAPES_Meso(Global/Regional Assimilation and PrEdiction System Meso)模式中,对2006年4月中国地区进行了一个月的模拟试验,并与相应的NCEP(Na...本文将NASA(National Aeronautics and Space Administration)/Goddard长波辐射方案引入到GRAPES_Meso(Global/Regional Assimilation and PrEdiction System Meso)模式中,对2006年4月中国地区进行了一个月的模拟试验,并与相应的NCEP(National Centers for Environmental Prediction)再分析资料进行了对比分析。试验结果表明:在模拟区域内,使用GRAPES Meso模式进行24h、48 h预报得到的晴空大气顶向外长波辐射通量(the clear sky outgoing longwave radiation flux,OLRC)、地面接收到向下长波辐射通量(the clear sky downward longwave radiation flux at ground,GLWC)分布形势与NCEP再分析资料具有较好的对应关系;模式预报24 h、48 h OLRC和NCEP再分析资料月平均误差百分比控制在-10%^+10%以内,GLWC月平均误差百分比比OLRC略大,但总体上两者误差都在合理和可接受范围之内。OLRC和GLWC 24 h、48 h的预报和NCEP再分析资料的逐日距平相关系数及标准误差的对比显示,模式24 h预报OLRC、GLWC的距平相关系数月平均值分别为0.96、0.98,标准误差月平均值分别为24.54 W m^(-2)、27.23 W m^(-2);模式48 h预报OLRC、GLWC的距平相关系数月平均值分别为0.9521、0.9804,标准误差月平均值分别为22.43 W m^(-2)、27.64W m^(-2)。总体上,模式24 h、48 h预报OLRC和GLWC的距平相关系数都在0.93以上,标准误差都在31 W m^(-2)以内,且GLWC预报和NCEP再分析资料的相关性比OLRC略好,OLRC预报与NCEP再分析资料的的标准误差比GLWC略小。通过和RRTM长波辐射方案对比可知,两者的预报水平基本一致。本文研究结果表明,引入NASA/Goddard长波辐射方案后的GRAPES_Meso模式整体上能够较好地预报OLRC和GLWC,该辐射方案可以作为模式GRAPES_Meso的备选辐射方案之一。展开更多
Surface irradiance measurements with high temporal resolution can be used to detect clear skies,which is a critical step for further study,such as aerosol and cloud radiative effects.Twenty-one clear-sky detection(CSD...Surface irradiance measurements with high temporal resolution can be used to detect clear skies,which is a critical step for further study,such as aerosol and cloud radiative effects.Twenty-one clear-sky detection(CSD)methods are assessed based on five years of 1-min surface irradiance data at Xianghe—a heavily polluted station on the North China Plain.Total-sky imager(TSI)discrimination results corrected by manual checks are used as the benchmark for the evaluation.The performance heavily relies on the criteria adopted by the CSD methods.Those with higher cloudy-sky detection accuracy rates produce lower clear-sky accuracy rates,and vice versa.A general tendency in common among all CSD methods is the detection accuracy deteriorates when aerosol loading increases.Nearly all criteria adopted in CSD methods are too strict to detect clear skies under polluted conditions,which is more severe if clear-sky irradiance is not properly estimated.The mean true positive rate(CSD method correctly detects clear sky)decreases from 45%for aerosol optical depth(AOD)≤0.2%to 6%for AOD>0.5.The results clearly indicate that CSD methods in a highly polluted region still need further improvements.展开更多
Dynamic changes in solar radiation have an important influence on ecosystem carbon sequestration,but the effects of changes caused by sky conditions on net ecosystem CO2 exchange(NEE)are unclear.This study analyzed th...Dynamic changes in solar radiation have an important influence on ecosystem carbon sequestration,but the effects of changes caused by sky conditions on net ecosystem CO2 exchange(NEE)are unclear.This study analyzed the effects of sunny,cloudy,and overcast sky conditions on NEE using carbon flux and meteorological data for a subtropical coniferous plantation in 2012.Based on one-year data,we found no seasonal variation in the light response curve under various sky conditions.Compared with sunny sky conditions,the apparent quantum yield(α)and potential photosynthetic rate at a light intensity of 150 and 750 W m^-2(P150 and P750)under cloudy sky conditions increased by an average of 82.3%,217.7%,and 22.5%;αand P150 under overcast sky conditions increased by 118.5%and 301%on average.Moderate radiation conditions were more favorable for maximum NEE,while low radiation conditions inhibited NEE.In most cases,when the sunny NEE was used as a baseline for comparison,the relative change in NEE(%NEE)was positive under cloudy sky conditions and negative under overcast sky conditions.The average maximal%NEE under cloudy sky conditions was 42.4% in spring,34.1% in summer,1.6% in autumn and –87.3% in winter.This study indicates that cloudy sky conditions promote photosynthetic rates and NEE in subtropical coniferous plantations.展开更多
To satisfy the requirement of surface energy budget research on the meso- and micro-scale, a parameterization is developed to calculate high spatial resolution, clear-sky downward longwave radiation （DLR） from HJ-IB...To satisfy the requirement of surface energy budget research on the meso- and micro-scale, a parameterization is developed to calculate high spatial resolution, clear-sky downward longwave radiation （DLR） from HJ-IB thermal data. The DLR algorithm is established based on extensive radiative transfer simulation and statistical analysis. To address the problem that HJ-1B has a single thermal channel and lacks atmospheric information, the brightness temperature of HJ-1B and water vapor content are used in the algorithm. An accuracy evaluation and error analysis for the algorithm is conducted using a simulated radiation da- taset. The result shows that the algorithm performs well in most circumstances, but there is obvious underestimation when wa- ter vapor content is greater than 4 g/cm2. Error analysis indicates the accuracy of estimated DLRs is affected by uncertainties in input parameters, including water vapor content and top-of-atmosphere radiance. It is also affected by the difference between ground and near-surface air temperature. The algorithm is applied to actual HJ-1B data, and validated by ground data from six stations in the Heihe River and Haihe River basins. The estimated DLRs have good consistency with measured data except at Huazhaizi, and root mean square errors at most sites are around 20 W/m2, which is slightly better than the result of MODIS. There is significant overestimation of DLR at Huazhaizi during summer, which is mainly produced by the large ground-air temperature difference. A correction process based on temperature difference is proposed and applied at Huazhaizi. The result shows that the positive bias is largely diminished after correction.展开更多
文摘本文将NASA(National Aeronautics and Space Administration)/Goddard长波辐射方案引入到GRAPES_Meso(Global/Regional Assimilation and PrEdiction System Meso)模式中,对2006年4月中国地区进行了一个月的模拟试验,并与相应的NCEP(National Centers for Environmental Prediction)再分析资料进行了对比分析。试验结果表明:在模拟区域内,使用GRAPES Meso模式进行24h、48 h预报得到的晴空大气顶向外长波辐射通量(the clear sky outgoing longwave radiation flux,OLRC)、地面接收到向下长波辐射通量(the clear sky downward longwave radiation flux at ground,GLWC)分布形势与NCEP再分析资料具有较好的对应关系;模式预报24 h、48 h OLRC和NCEP再分析资料月平均误差百分比控制在-10%^+10%以内,GLWC月平均误差百分比比OLRC略大,但总体上两者误差都在合理和可接受范围之内。OLRC和GLWC 24 h、48 h的预报和NCEP再分析资料的逐日距平相关系数及标准误差的对比显示,模式24 h预报OLRC、GLWC的距平相关系数月平均值分别为0.96、0.98,标准误差月平均值分别为24.54 W m^(-2)、27.23 W m^(-2);模式48 h预报OLRC、GLWC的距平相关系数月平均值分别为0.9521、0.9804,标准误差月平均值分别为22.43 W m^(-2)、27.64W m^(-2)。总体上,模式24 h、48 h预报OLRC和GLWC的距平相关系数都在0.93以上,标准误差都在31 W m^(-2)以内,且GLWC预报和NCEP再分析资料的相关性比OLRC略好,OLRC预报与NCEP再分析资料的的标准误差比GLWC略小。通过和RRTM长波辐射方案对比可知,两者的预报水平基本一致。本文研究结果表明,引入NASA/Goddard长波辐射方案后的GRAPES_Meso模式整体上能够较好地预报OLRC和GLWC,该辐射方案可以作为模式GRAPES_Meso的备选辐射方案之一。
基金supported by the National Key R&D Program of China grant number 2017YFA0603504the Strategic Priority Research Program of the Chinese Academy of Sciences grant number XDA17010101the National Natural Science Foundation of Chinagrant number 41875183。
文摘Surface irradiance measurements with high temporal resolution can be used to detect clear skies,which is a critical step for further study,such as aerosol and cloud radiative effects.Twenty-one clear-sky detection(CSD)methods are assessed based on five years of 1-min surface irradiance data at Xianghe—a heavily polluted station on the North China Plain.Total-sky imager(TSI)discrimination results corrected by manual checks are used as the benchmark for the evaluation.The performance heavily relies on the criteria adopted by the CSD methods.Those with higher cloudy-sky detection accuracy rates produce lower clear-sky accuracy rates,and vice versa.A general tendency in common among all CSD methods is the detection accuracy deteriorates when aerosol loading increases.Nearly all criteria adopted in CSD methods are too strict to detect clear skies under polluted conditions,which is more severe if clear-sky irradiance is not properly estimated.The mean true positive rate(CSD method correctly detects clear sky)decreases from 45%for aerosol optical depth(AOD)≤0.2%to 6%for AOD>0.5.The results clearly indicate that CSD methods in a highly polluted region still need further improvements.
基金National Key Research and Development Program of China(2017YFC0503801 2016YFA0600104)
文摘Dynamic changes in solar radiation have an important influence on ecosystem carbon sequestration,but the effects of changes caused by sky conditions on net ecosystem CO2 exchange(NEE)are unclear.This study analyzed the effects of sunny,cloudy,and overcast sky conditions on NEE using carbon flux and meteorological data for a subtropical coniferous plantation in 2012.Based on one-year data,we found no seasonal variation in the light response curve under various sky conditions.Compared with sunny sky conditions,the apparent quantum yield(α)and potential photosynthetic rate at a light intensity of 150 and 750 W m^-2(P150 and P750)under cloudy sky conditions increased by an average of 82.3%,217.7%,and 22.5%;αand P150 under overcast sky conditions increased by 118.5%and 301%on average.Moderate radiation conditions were more favorable for maximum NEE,while low radiation conditions inhibited NEE.In most cases,when the sunny NEE was used as a baseline for comparison,the relative change in NEE(%NEE)was positive under cloudy sky conditions and negative under overcast sky conditions.The average maximal%NEE under cloudy sky conditions was 42.4% in spring,34.1% in summer,1.6% in autumn and –87.3% in winter.This study indicates that cloudy sky conditions promote photosynthetic rates and NEE in subtropical coniferous plantations.
基金supported by Knowledge Innovation Program of the Chinese Academy of Sciences(Grant No.KZCX2-YW-Q10-2-2)National Natural Science Foundation of China(Grant No.40971204)+1 种基金National High-tech R&D Program of China(Grant No.2012AA12A304)R&D Special Fund for Public Welfare Industry(Meteorology)(Grant No.GYHY200706046-1)
文摘To satisfy the requirement of surface energy budget research on the meso- and micro-scale, a parameterization is developed to calculate high spatial resolution, clear-sky downward longwave radiation （DLR） from HJ-IB thermal data. The DLR algorithm is established based on extensive radiative transfer simulation and statistical analysis. To address the problem that HJ-1B has a single thermal channel and lacks atmospheric information, the brightness temperature of HJ-1B and water vapor content are used in the algorithm. An accuracy evaluation and error analysis for the algorithm is conducted using a simulated radiation da- taset. The result shows that the algorithm performs well in most circumstances, but there is obvious underestimation when wa- ter vapor content is greater than 4 g/cm2. Error analysis indicates the accuracy of estimated DLRs is affected by uncertainties in input parameters, including water vapor content and top-of-atmosphere radiance. It is also affected by the difference between ground and near-surface air temperature. The algorithm is applied to actual HJ-1B data, and validated by ground data from six stations in the Heihe River and Haihe River basins. The estimated DLRs have good consistency with measured data except at Huazhaizi, and root mean square errors at most sites are around 20 W/m2, which is slightly better than the result of MODIS. There is significant overestimation of DLR at Huazhaizi during summer, which is mainly produced by the large ground-air temperature difference. A correction process based on temperature difference is proposed and applied at Huazhaizi. The result shows that the positive bias is largely diminished after correction.
