Using the first level products of Moderate-Resolution Imaging Spectroradiometer (MODIS) and three algorithms to estimate the shortwave radiation, longwave radiation and net radiation of Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL) from April to August in 2007, and further the coefficients of WKC algorithm were modified using observed data of SACOL from June to August in 2006.Compared to the observed values, the result showed that the accuracy of estimated shortwave radiation was better than longwave radiation in the satellite transit time.Based on the components of the surface radiation, the accuracy of estimated net radiation was good, and the minimum mean absolute percent error was 9.98% in the satellite transit time.The daily net radiation which obtained by using the time scale expansion method was close to the measured data, and the mean absolute percent errors were less than 25.0%.The daily net radiation which estimated based on the shortwave radiation directly was deviated from the observed value, but the correlation was good.However, the result had improvement after it was modified by the measured data of SACOL, and the deviation between the estimated result and observed one was the minimum.It was worth noting that each radiation component was can be retrieved by MODIS products directly and did not need any other auxiliary data, and accuracy of estimated net radiation was only after the modified algorithm in the satellite transit time.The biggest advantage of the algorithm which estimated net radiation based on the shortwave radiation directly was avoid the longwave radiation estimated,and the accuracy of the algorithm was better after it was modified by the observed value, but it required measured auxiliary data.So, in the case of having the ground observed data, the net radiation can be estimated by using the modified algorithm based on the shortwave radiation.In the case of absence the ground observed data, it provides an effective way to estimated the net radiation by estimating the radiation components.
[1]Malek E.Evaluation of effective atmospheric emissivity and parameterization of cloud at local scale[J].Atmos Res,1997,45(1):41-54.
[2]Jin X,Barber D,Papakyriakou T.A new clear-sky downward longwave radiative flux parameterization for Arctic areas based on rawinsonde data[J].J Geophys Res: Atmospheres (1984-2012),2006,111(D24):104,doi:10.1029/2005JD007039.
[3]彭继达,程兴宏,孙治安,等.两种不同初始场对太阳辐射模拟效果的影响[J].高原气象,2014,335):1352-1362,doi:10.7522/j.issn.1000-0534.2013.00098.
[4]Ellingson R G.Surface longwave fluxes from satellite observations:A critical review[J].Remote Sens Environ,1995,51(1):89-97.
[5]Zhou Y,Kratz D P,Wilber A C,et al.An improved algorithm for retrieving surface downwelling longwave radiation from satellite measurements[J].J Geophys Res:Atmospheres (1984-2012),2007,112(D15):102,doi:10.1029/2006JD008159.
[6]Tang B H,Li Z L.Estimation of instantaneous net surface longwave radiation from MODIS cloud-free data[J].Remote Sens Environ,2008,112(9):3482-3492.
[7]杨启东,左洪超,董龙翔,等.陆面过程模式TBLSHAW的设计及其在黄土高原地区的模拟研究[J].高原气象,2012,31(5):1243-1256.
[8]朱德琴,高晓清.陆面过程模式SSiB在中国西北典型干旱区使用性能的检验[J].高原气象,2005,24(6):1369-1377.
[9]辛羽飞,卞林根,张雪红.CoLM模式在西北干旱区和青藏高原区的适用性研究[J].高原气象,2006,25(4):566-574.
[10]陈渤黎,吕世华,罗斯琼.CLM3.5模式对青藏高原玛曲站陆面过程的数值模拟研究[J].高原气象,2012,31(6):1511-1522.
[11]李燕,刘新,李伟平.青藏高原地区不同下垫面陆面过程的数值模拟研究[J].高原气象,2012,31(3):581-591.
[12]李凯,高艳红,Chen Fei,等.植被根系对青藏高原中部土壤水热过程影响的模拟[J].高原气象,2015,34(3):642-652,doi:10.7522/j.issn.1000-0534.2015.00035.
[13]柳媛普,张强,王胜.黄土高原半干旱区夏季晴天陆面特征模拟与观测对比分析[J].干旱气象,2013,31(3):457-463.
[14]杨启东,王丽娟.SHAW模式的改进及其在黄土高原半干旱区的模拟研究[J].干旱气象,2014,32(4):527-536.
[15]熊建胜,张宇,王少影,等.CLM4.0土壤水分传输方案改进在青藏高原陆面过程模拟中的效应[J].高原气象,2014,332):323-336,doi:10.7522/j.issn.1000-0534.2014.00012.
[16]Tang B H,Li Z L,Zhang R H.A direct method for estimating net surface shortwave radiation from MODIS data [J].Remote Sens Environ,2006,103(1):115-126.
[17]Diak G R,Mecikalski J R,Anderson M C,et al.Estimating landsurface energy budgets from space: Review and current effortsat the University of Wisconsin-Madison and USDA-ARS[J].Bull Amer Meteor Soc,2004,85(1):65-78.
[18]Kjaersgaard J H,Cuenca R H,Plauborg F L,et al.Long-term comparisons of net radiation calculation schemes[J].Bound-Layer Meteor,2007,123(3):417-431.
[19]Wang P,Li Z,Cribb M,et al.A simple method to estimate actual evapotranspiration from a combination of net radiation,vegetation index,and temperature[J].J Geophys Res:Atmospheres (1984-2012),2007,112(D15):107,doi:10.1029/2006JD008351.
[20]Wang K C, Liang S L.An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture [C]//Geoscience and Remote Sensing Symposium.IGARSS 2008.IEEE International,2008,3:875-878.
[21]张强.大气边界层气象学研究综述[J].干旱气象,2003,21(3):74-78.
[22]Huang J P,Zhang W,Zuo J Q,et al.An overview of the semi-arid climate and environment research observatory over the Loess Plateau[J].Adv Atmos Sci,2008,25(6):906-921.
[23]胡蝶,张镭,王宏斌.黄土高原半干旱地区气溶胶光学厚度遥感分析[J].高原气象,2013,32(3):654-664,doi:10.7522/j.issn.1000-0534.2012.00062.
[24]胡志远,闭建荣,黄建平,等.一种利用天空辐射计反演大气总水汽的算法研究[J].高原气象,2014,331):232-240,doi:10.7522/j.issn.1000-0534.2012.00184.
[25]陈勇航,陈艳,黄建平,等.中国西北地区云的分布及其变化趋势[J].高原气象,2007,26(4):741-748.
[26]张北斗,靳秦建,黄建平.半干旱气候与环境综合观测站(SACOL)仪器通讯集成研究[J].干旱气象,2009,27(1):78-81.
[27]张述文,曹帮军.变分方法估算西北半干旱区地表热通量的适用性研究[J].高原气象,2013,32(4):956-963,doi:10.7522/j.issn.1000-0534.2012.00091.
[28]李德帅,王金燕,王式功,等.陇中黄土高原半干旱草地地表反照率的变化特征[J].高原气象,2014,334):232-240,doi:10.7522/j.issn.1000-0534.2012.00178.
[29]Becker F,Li Z L.Towards a local split-window method over land surfaces[J].Int J Remote Sensing,1990,11(3):369-393.
[30]Wang W H,Liang S L.Estimation of high-spatial resolution lear-sky longwave downward and net radiation over land surfaces from MODIS data[J].Remote Sens Environ,2009,113(4):745-754.
[31]谢贤群.遥感瞬时作物表面温度估算农田全日蒸散总量[J].环境遥感,1991,6 (4):253-260.