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-1B 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 dataset.The result shows that the algorithm performs well in most circumstances,but there is obvious underestimation when water vapor content is greater than 4g/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 20W/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.
Photosynthetically active radiation(PAR) is essential for plant photosynthesis and carbon cycle,and is also important for meteorological and environmental monitoring.To advance China's disaster and environmental monitoring capabilities,the HJ-1A/B satellites have been placed in Earth orbit.One of their environmental monitoring objectives is the study of PAR.We simulated direct solar,scattered and environment radiation between 400 and 700 nm under different atmospheric parameters(solar zenith angle,atmospheric water vapor,atmospheric ozone,aerosol optical thickness,surface elevation and surface albedo),and then established a look-up table between these input parameters and PAR.Based on the look-up table,we used HJ-1A/B aerosol and surface albedo outputs to derive the corresponding PAR.Validation of inversed instantaneous and observed PAR values using HJ-1 Heihe experimental data had a root mean square error of 25.2 W m-2,with a relative error of 5.9%.The root mean square error for accumulated daily PAR and observed values was 0.49 MJ m-2,with a relative error of 3.5%.Our approach improved significantly the computational efficiency,compared with using directly radiation transfer equations.We also studied the sensitivity of various input parameters to photosynthetically active radiation,and found that solar zenith angle and atmospheric aerosols were sensitive PAR parameters.Surface albedo had some effect on PAR,but water vapor and ozone had minimal impact on PAR.
LI Li1,XIN XiaoZhou1,SU GaoLi1,2 & LIU QinHuo1 1 State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China
