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NOAA20 and S-NPP VIIRS Land Surface Temperature Product Validation and Inter-Comparison

机译:NOAA20和S-NPP VIIR陆地温度产品验证和相互比较

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The enterprise Land Surface Temperature (LST) algorithm has been operationally implemented for Visible Infrared Imager Radiometer Suite (VIIRS) onboard both NOAA 20 (N20) and Suomi National Polar-orbiting Partnership (S-NPP) satellite since September, 2019. This study presents the validation of the two LST products. The ground based measurements from Baseline Surface Radiation Network (BSRN) and Surface Radiation Budget Network (SURFRAD) were used to estimate the quantitative uncertainty of the LST product. The validation results present a similarly close agreement between ground observations and satellite estimations from both N20 and S-NPP VIIRS LST products. The accuracy is about -0.4 K for N20 and -0.3 K for S-NPP and the precision is about 1.9 K for both LST products over SURFRAD sites. Similar performance is achieved over BSRN sites. In addition, the global inter-comparison of the two LST products were presented and analyzed.
机译:自2019年9月以来,企业陆地表面温度(LST)算法用于可见红外成像辐射计套件(VIIRS)和苏米国家北方国家极性轨道伙伴关系(S-NPP)卫星。本研究表现出来两台LST产品的验证。基于基线辐射网络(BSRN)和表面辐射预算网络(SURFRAD)的基于地面测量用于估计LST产品的定量不确定性。验证结果在N20和S-NPP VIIRS LST产品的地面观测和卫星估计之间存在类似密切的一致性。对于N20的精度约为-0.4K,对于S-NPP,对于S-NPP而言,STST产品的精度约为1.9 k。在BSRN网站上实现了类似的性能。此外,提出和分析了两种LST产品的全局互相比较。

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