The goal is to learn how to write better.

分析的目的是为了提高科技英语写作水平(不是针对作者)。

Green highlight is used to show good writing.

绿色: 好好学习。

Yellow means "questionable."

黄色：有问题。

Blue is for discussion.

蓝色: 值得讨论。

Multivariate Estimations of Equilibrium Climate Sensitivity From Short Transient Warming Simulations

https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL091090

Abstract

One of the most used metrics to gauge the effects of climate change is the equilibrium climate sensitivity, defined as the long‐ erm (equilibrium) temperature increase resulting from instantaneous doubling of atmospheric CO₂. 

Since global climate models cannot be fully equilibrated in practice, extrapolation techniques are used to estimate the equilibrium state from transient warming simulations. 

Because of the abundance of climate feedbacks—spanning a wide range of temporal scales—it is hard to extract long‐ erm behavior from short‐ ime series; predominantly used techniques are only capable of detecting the single most dominant eigenmode, thus hampering their ability to give accurate long‐ erm estimates. 

评论：If you take out (simplify the sentence) by taking out “—spanning a wide range of temporal scales—," you may see a problem (a missing comma).

Here, we present an extension to those methods by incorporating data from multiple observables in a multicomponent linear regression model. 

This way, not only the dominant but also the next‐dominant eigenmodes of the climate system are captured, leading to better long‐ erm estimates from short, nonequilibrated time series.

Plain Language Summary

Although it is clear that the atmospheric CO₂ concentration influences the Earth's climate, it is difficult to quantify its long‐ erm effects accurately. 

Scientific efforts in this direction focus on idealized experiments carried out in global climate models. 

In these experiments, atmospheric CO₂ is (instantaneously) doubled, and the long‐ erm temperature increase this causes is recorded. 

评论：好像缺点什么。

This resulting temperature increase is called the (equilibrium) climate sensitivity; accurately knowing its value helps to better quantify the effects of different emission scenarios on the future climate. 

评论：help+verb (not “to verb”).

However, it takes a very long time before all processes in a climate model are fully settled—especially in state‐of‐ he‐art, more and more detailed models—and, in practice, settling all is simply not feasible. 

评论：Not a good way to use “—especially in state‐of‐ he‐art, more and more detailed models—," because the part “and…”should be separated by at least a comma.

Hence, climate sensitivity needs to be estimated from limited model data. 

评论：Model outputs.

This is particularly difficult as the climate system consists of many processes that behave on vastly different time scales. 

评论：Not the best choice of word.

Here, we present a new estimation technique that is better capable of capturing the very slow processes than conventional techniques, and hence leads to a more accurate quantification of(equilibrium) climate sensitivity.

评论：Better should be moved. Try “better capturing.”

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http://blog.sciencenet.cn/blog-306792-1146690.html