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Atmospheric radiative profiles during EUREC4A

机译:EUREC4A期间的大气辐射剖面

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The couplings among clouds, convection, and circulation in trade-wind regimes remain a fundamental puzzle that limits our ability to constrain future climate change. Radiative heating plays an important role in these couplings. Here we calculate clear-sky radiative profiles from 2580 in situ soundings (1068 dropsondes and 1512 radiosondes) collected during the field campaign EUREC4A (Elucidating the role of clouds–circulation coupling in climate). EUREC4A took place in the downstream trades of the western tropical Atlantic in January– February 2020. We describe the method used to calculate these cloud-free, aerosol-free radiative profiles. We then present preliminary results sampling variability at multiple scales, from the variability across all soundings to groupings by diurnal cycle and mesoscale organization, as well as individual soundings associated with elevated moisture layers. We also perform an uncertainty assessment and find that the errors resulting from uncertainties in observed sounding profiles and ERA5 reanalysis employed as upper and lower boundary conditions are small. The present radiative profile data set can provide important additional details missing from calculations based on passive remote sensing and aid in understanding the interplay of radiative heating with dynamic and thermodynamic variability in the trades. The data set can also be used to investigate the role of low-level radiative cooling gradients in generating shallow circulations. All data are archived and freely available for public access on AERIS (Albright et al., 2020a, https://doi.org/https://doi.org/10.25326/78).
机译:云,对流和贸易制度中的循环的联系仍然是一个基本难题,限制了我们限制未来气候变化的能力。辐射加热在这些联轴器中起着重要作用。在这里,我们计算出在现场活动Eurec4a(阐明气候中云循环耦合的角色)收集的2580的透明天空辐射型材(1068滴和1512个无线电体)。 Eurec4a在2020年1月至2月在西部热带大西洋的下游交易中进行。我们描述了用于计算无云,无气泡辐射型材的方法。然后,我们在多种尺度上提出初步结果,从各种尺度上采样可变性,从昼夜周期和Mesoscale组织的所有探测的可变性以及与升高的水分层相关联的单独探测。我们还表现了不确定性评估,并发现观察到的探测曲线和作为上边界条件采用的ERA5再分析中的不确定性产生的误差是小的。本辐射配置文件数据集可以提供基于被动遥感的计算缺失的重要附加细节,并帮助了解交易中动态和热力学变异性的辐射加热的相互作用。数据集还可用于研究低级辐射冷却梯度在产生浅循环时的作用。所有数据都是在Aeris上存档和自由提供的公共访问(Albright等,2020a,https://doi.org/https://doi.org/10.25326/78)。

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