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Validation of the CERES Edition 2B Surface-Only Flux Algorithms

机译:CERES Edition 2B仅表面通量算法的验证

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The Clouds and the Earth's Radiant Energy System (CERES) project uses two shortwave (SW) and two longwave (LW) algorithms to derive surface radiative fluxes on an instantaneous footprint basis from a combination of top-of-atmosphere fluxes, ancillarymeteorological data, and retrieved cloud properties. Since the CERES project examines the radiative forcings and feedbacks for Earth's entire climate system, validation of these models for a wide variety of surface conditions is paramount. The present validation effort focuses upon the ability of these surface-only flux algorithms to produce accurate CERES Edition 2B single scanner footprint data from the Terra and Aqua spacecraft measurements. To facilitate the validation process, high-quality radiometric surface observations have been acquired that were coincident with the CERES-derived surface fluxes. For both SW models, systematic errors range from -20 to -12 W m~(-2) (from -2.8% to — 1.6%) for global clear-sky cases, while for the all-sky SW model, the systematic errors range from 14 to 21 W m~(-2) (3.2%^.8%) for global cloudy-sky cases. Larger systematic errors were seen for the individual surface types, and significant random errors where observed, especially for cloudy-sky cases. While the SWmodels nearly achieved the 20 W m~(-2) accuracy requirements established for climate research, further improvements are warranted. For the clear-sky LW model, systematic errors were observed to fall within ±5.4 W m~(-2) (±1.9%) except for the polar case in which systematic errors on the order from -15 to —11 W m~(-2) (from —13% to —7.2%) occurred. For the all-sky LW model, systematic errors were less than ±9.2 W m~(-2) (±7.6%) for both the clear-sky and cloudy-sky cases. The random errors were less than 17 W m~(-2) (6.2%) for clear-sky cases and 28 W m~(-2) (13%) for cloudy-sky cases, except for the desert cases in which very high surface skin temperatures caused an overestimation in the model-calculated surface fluxes. Overall, however, the LW models met the accuracy requirements for climate research.
机译:云与地球的辐射能系统(CERES)项目使用两种短波(SW)和两种长波(LW)算法,根据大气顶通量,辅助气象数据和检索到的云属性。由于CERES项目检查了整个地球气候系统的辐射强迫和反馈,因此针对各种地表条件验证这些模型至关重要。当前的验证工作着眼于这些仅表面通量算法的能力,可以根据Terra和Aqua航天器的测量结果生成准确的CERES Edition 2B单扫描仪足迹数据。为了促进验证过程,已获得了与CERES派生的表面通量一致的高质量辐射表面观测结果。对于两种晴空模式,全球晴空情况的系统误差范围为-20至-12 W m〜(-2)(从-2.8%至— 1.6%),而对于全天空晴空模型,系统误差为系统误差全球多云的天空范围从14到21 W m〜(-2)(3.2%^。8%)。对于单个表面类型,观察到较大的系统误差,并且在观察到的情况下观察到明显的随机误差,尤其是在多云天空情况下。尽管SWmodels几乎达到了气候研究确定的20 W m〜(-2)精度要求,但仍需进一步改进。对于晴朗天空的LW模型,观察到系统误差落在±5.4 W m〜(-2)(±1.9%)内,极坐标情况下系统误差在-15至-11 W m〜的数量级。 (-2)(从-13%到-7.2%)发生了。对于全天空LW模型,晴空情况下的系统误差均小于±9.2 W m〜(-2)(±7.6%)。晴空情况下的随机误差小于17 W m〜(-2)(6.2%),阴天情况下的随机误差小于28 W m〜(-2)(13%),沙漠情况除外。较高的表面皮肤温度导致对模型计算的表面通量的高估。总体而言,LW模型满足了气候研究的精度要求。

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