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Impact of Subgrid Variation of Water Vapor on Longwave Radiation in a General Circulation Model

机译:水蒸气底下变化对一般循环模型龙波辐射的影响

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Most general circulation models compute radiation fluxes by assuming that water vapor is uniform within individual grid layers, which leads to an underestimation of satellite‐observed longwave (LW) cloud radiative forcing (LWCF). To fix this problem, we calculated water vapor content separately for clear and cloudy portions and used them to compute LW radiation. The impacts of this modification were examined by comparing two global simulations with and without the modification (NEW and OLD, respectively). Global‐annual mean LWCF from NEW was 1.8?W?m?2 higher than that of OLD, thus remedying a long‐standing negative bias of LWCF. This improvement is a combined result of more clear‐sky and less all‐sky upward LW flux at the top of the atmosphere than OLD. Large increases in LWCF and clear‐sky LW flux occurred in the tropical deep convection and midlatitude storm track regions where upper‐ and middle‐level clouds are abundant. Although only the LW radiation scheme was modified, global‐annual mean shortwave cloud radiative forcing also increased, particularly in the vicinity of the eastern subtropical marine stratocumulus decks through radiative feedback processes. With this improved treatment, it may be possible to tune general circulation models in a more flexible and physical way without introducing compensating errors. Plain Language Summary Most general circulation models have computed radiation fluxes by assuming that the water vapor is uniform within individual grid layers. However, this assumption has resulted in the underestimation of satellite‐observed longwave cloud radiative forcing, since water vapors in cloudy portions are in reality larger than those in clear regions. Thus, in this study, we calculated the water vapors in clear and cloudy portions separately and used it to calculate the longwave radiation. It turns out that our new approach substantially reduces the long‐standing negative bias of longwave cloud radiative forcing in a general circulation model and creates the possibility of tuning the models in a more flexible and physical way without introducing compensating errors.
机译:大多数通用循环模型通过假设水蒸气在各个网格层内均匀地计算辐射通量,这导致卫星观察到的长波(LW)云辐射强制(LWCF)的低估。为了解决这个问题,我们分别计算了水蒸气含量,以透明和阴天的部分,并用它们来计算LW辐射。通过比较两种全球模拟与未经修改(新和旧的)进行比较来检查该修改的影响。来自新的全球每年平均值LWCF是1.8?2比旧的,从而弥补了LWCF的长期负面偏见。这种改进是在大气层顶部的更清晰的天空和较少的全天向上的LW通量的综合结果。 LWCF和清澈的天空LW通量的大幅增加发生在热带深度对流和中层云层中的热带深度对流和中层风暴轨道区域。尽管仅改变了LW辐射方案,但全球年度平均短波云辐射迫使强制也有所增加,特别是通过辐射反馈过程在东部亚热带船舶划分过程附近。通过这种改进的处理,可以以更灵活和物理方式调谐通用循环模型,而不会引入补偿误差。普通语言概要大多数一般循环模型通过假设水蒸气在各个网格层内均匀而具有计算的辐射通量。然而,这种假设导致卫星观察到的长波云辐射强制低估,因为多云部分的水蒸汽大于清晰区域中的水蒸汽。因此,在本研究中,我们将水蒸汽分别计算出清晰,阴天的部分,并用它来计算龙波辐射。事实证明,我们的新方法基本上减少了长波云辐射强迫的长站负偏差,在一般循环模型中,创造了在不引入补偿误差的情况下以更灵活和物理方式调整模型的可能性。

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