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一种包含云演变的对流层行为熵产生率模型。

An Entropy Generation Rate Model for Tropospheric Behavior That Includes Cloud Evolution.

作者信息

Sekhar Jainagesh A

机构信息

Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH 45221, USA.

出版信息

Entropy (Basel). 2023 Dec 5;25(12):1625. doi: 10.3390/e25121625.

Abstract

A postulate that relates global warming to higher entropy generation rate demand in the tropospheric is offered and tested. This article introduces a low-complexity model to calculate the entropy generation rate required in the troposphere. The entropy generation rate per unit volume is noted to be proportional to the square of the Earth's average surface temperature for a given positive rate of surface warming. The main postulate is that the troposphere responds with mechanisms to provide for the entropy generation rate that involves specific cloud morphologies and wind behavior. A diffuse-interface model is used to calculate the entropy generation rates of clouds. Clouds with limited vertical development, like the high-altitude cirrus or mid-altitude stratus clouds, are close-to-equilibrium clouds that do not generate much entropy but contribute to warming. Clouds like the cumulonimbus permit rapid vertical cloud development and can rapidly generate new entropy. Several extreme weather events that the Earth is experiencing are related to entropy-generating clouds that discharge a high rate of rain, hail, or transfer energy in the form of lightning. The water discharge from a cloud can cool the surface below the cloud but also add to the demand for a higher entropy generation rate in the cloud and troposphere. The model proposed predicts the atmospheric conditions required for bifurcations to severe-weather clouds. The calculated vertical velocity of thunderclouds associated with high entropy generation rates matches the recorded observations. The scale of instabilities for an evolving diffuse interface is related to the entropy generation rate per unit volume. Significant similarities exist between the morphologies and the entropy generation rate correlations in vertical cloud evolution and directionally solidified grainy microstructures. Such similarities are also explored to explore a generalized framework of pattern evolution and establish the relationships with the corresponding entropy generation rate. A complex system like the troposphere can invoke multiple phenomena that dominate at different spatial scales to meet the demand for an entropy generation rate. A few such possibilities are presented in the context of rapid and slow changes in weather patterns.

摘要

提出并检验了一个将全球变暖与对流层中更高的熵产生率需求联系起来的假设。本文引入了一个低复杂度模型来计算对流层所需的熵产生率。对于给定的地表变暖正速率,单位体积的熵产生率与地球平均表面温度的平方成正比。主要假设是对流层通过涉及特定云形态和风行为的机制来响应,以提供熵产生率。使用扩散界面模型来计算云的熵产生率。垂直发展有限的云,如高海拔卷云或中海拔层云,是接近平衡的云,不会产生太多熵但有助于变暖。像积雨云这样的云允许云快速垂直发展,并能迅速产生新的熵。地球正在经历的一些极端天气事件与产生熵的云有关,这些云以降雨、冰雹的形式大量释放能量或以闪电的形式传递能量。云的水分释放可以使云下方的表面冷却,但也增加了云中和对流层中对更高熵产生率的需求。所提出的模型预测了向恶劣天气云转变所需的大气条件。与高熵产生率相关的雷暴云的计算垂直速度与记录的观测结果相符。演化中的扩散界面的不稳定性尺度与单位体积的熵产生率有关。垂直云演化中的形态与熵产生率相关性和定向凝固粒状微观结构之间存在显著相似性。还探索了这些相似性,以探索模式演化的广义框架,并建立与相应熵产生率的关系。像对流层这样的复杂系统可以调用在不同空间尺度上占主导地位的多种现象,以满足对熵产生率的需求。在天气模式快速和缓慢变化的背景下提出了一些这样的可能性。

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