用一个简单的模型框架来理解北方森林扩张对浅积云的影响

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Sam Pennypacker, Robert Wood
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引用次数: 1

摘要

北方森林向极地的扩张是陆地表面与北极气候之间反馈的潜在重要驱动因素。越来越多的研究强调了不同未来可能出现的北极陆地覆盖之间的蒸发阻力差异的重要性,这反过来会改变边界层的湿度和云量,从而产生这些反馈。虽然到目前为止,这个问题主要是用复杂的地球系统模型来研究的,但我们转向了一个局部聚焦的理想化模型,该模型能够诊断和测试在这个关键区域连接植被、大气边界层和低云的一阶过程的敏感性。这使我们能够在大规模模拟的预测中心对机制和结果进行基准测试。相对于反照率较低、蒸发阻力较大的针叶树地表,以阔叶树为主的地表反照率较高、蒸发阻力较小的地表驱动边界层的降温和润湿。这些假设的北极植被覆盖之间的蒸发阻力差异对于边界层对北方扩张的初始响应的反照率变化同样重要,即使采用我们的理想方法。然而,在某些条件下,上升凝结层(LCL)的高度与高蒸发阻力表面上混合层的快速增长之间的补偿可以最小化不同地表覆盖类型上浅云有利度的变化。然后,我们对这种补偿效应对水分可用性变化的敏感性进行了两次测试,首先是边界层湿度的减少,然后是植被表面可用的湿度和土壤湿度的减少。最后,考虑到这种潜在的lcl混合层高度补偿在我们理想化的建模结果中的重要性,我们希望确定其与芬兰北部野外活动的观测数据的相关性。这些观测确实证实了这种耦合在针叶林表面积云顶边界层中起着重要作用。虽然我们的结果证实了地球系统模型先前工作的一些潜在机制,但它们也为未来限制北方森林扩张影响的工作提供了动力。这将包括大型涡流模拟,以检查混合层模型无法解决的过程和反馈的影响,以及对芬兰站点和先前北方野外活动站点的相关观测结果进行更系统的评估和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Grounding our understanding of the impacts of boreal forest expansion on shallow cumulus clouds with a simple modelling framework
Abstract The expansion of the boreal forest poleward is a potentially important driver of feedbacks between the land surface and Arctic climate. A growing body of work has highlighted the importance of differences in evaporative resistance between different possible future Arctic land covers, which in turn alters humidity and cloudiness in the boundary layer, for these feedbacks. While thus far this problem has been studied primarily with complex Earth system models, we turn to a locally focused, idealized model capable of diagnosing and testing the sensitivity of first order processes connecting vegetation, the atmospheric boundary layer, and low clouds in this critical region. This allows us to benchmark the mechanisms and results at the center of predictions from larger-scale simulations. A surface dominated by broadleaf trees, characterized by higher albedo and lower surface evaporative resistance, drives cooling and moistening of the boundary layer relative to a surface of needleleaf trees, characterized by lower albedo and higher surface evaporative resistance. Differences in evaporative resistance between these hypothetical Arctic vegetation covers are of equal importance to changes in albedo for the initial response of the boundary layer to boreal expansion, even with our idealized approach. However, compensation between the elevation of the lifting condensation level (LCL) and more rapid growth of the mixed layer over higher evaporative resistance surfaces can minimize changes in the favorability of shallow clouds over different land cover types under some conditions. We then perform two tests on the sensitivity of this compensating effect, to changes in water availability, represented first by a reduction in boundary layer humidity and then by both a reduction in humidity and soil moisture available to our vegetation surface. Finally, given the importance of this potential LCL-mixed layer height compensation in our idealized modelling results, we look to determine its relevance in observational data from a field campaign in boreal Finland. These observations do confirm that such a coupling plays an important role in cumulus-topped boundary layers over a needleleaf forest surface. While our results confirm some underlying mechanisms at the center of prior work with Earth system models, they also provide motivation for future work to constrain the impact of boreal forest expansion. This will include both large eddy simulations to examine the impact of processes and feedbacks not resolved by a mixed layer model, as well as a more systematic evaluation and comparison of relevant observations at the site in Finland and sites from prior boreal field campaigns.
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来源期刊
Journal of Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
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