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Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers

机译:利用云作为CCN室进行卫星对云凝结核浓度的反演

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摘要

Quantifying the aerosol/cloud-mediated radiative effect at a global scale requires simultaneous satellite retrievals of cloud condensation nuclei (CCN) concentrations and cloud base updraft velocities (Wb). Hitherto, the inability to do so has been a major cause of high uncertainty regarding anthropogenic aerosol/cloud-mediated radiative forcing. This can be addressed by the emerging capability of estimating CCN and Wb of boundary layer convective clouds from an operational polar orbiting weather satellite. Our methodology uses such clouds as an effective analog for CCN chambers. The cloud base supersaturation (S) is determined by Wb and the satellite-retrieved cloud base drop concentrations (Ndb), which is the same as CCN(S). Validation against ground-based CCN instruments at Oklahoma, at Manaus, and onboard a ship in the northeast Pacific showed a retrieval accuracy of ±25% to ±30% for individual satellite overpasses. The methodology is presently limited to boundary layer not raining convective clouds of at least 1 km depth that are not obscured by upper layer clouds, including semitransparent cirrus. The limitation for small solar backscattering angles of <25° restricts the satellite coverage to ∼25% of the world area in a single day.
机译:要在全球范围内量化气溶胶/云介导的辐射效应,需要同时对云凝结核(CCN)浓度和云基上升气流速度(Wb)进行卫星检索。迄今为止,不能这样做一直是导致人为气溶胶/云介导的辐射强迫高度不确定的主要原因。这可以通过新兴的估算极地轨道对流气象卫星边界层对流云的CCN和Wb的能力来解决。我们的方法使用此类云作为CCN腔室的有效模拟。云基过饱和度(S)由Wb和卫星检索的云基液滴浓度(Ndb)决定,该浓度与CCN(S)相同。针对俄克拉荷马州马瑙斯市以及东北太平洋一艘船上的地面CCN仪器进行的验证显示,单个卫星立交桥的检索精度为±25%至±30%。目前,该方法仅限于边界层不下雨至少1 km的对流云,该对流云不会被包括半透明卷云在内的上层云遮盖。小于25°的小太阳向后散射角的限制将卫星的覆盖范围限制在一天之内,约占世界面积的25%。

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