土地覆盖变化对气候响应的光谱分解与信号分离

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Felix Jäger, Jonas Schwaab, Mona Bukenberger, Steven J. De Hertog, Sonia I. Seneviratne
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引用次数: 0

摘要

虽然大规模造林和再造林作为基于自然的气候变化缓解和适应战略被广泛讨论,但大规模毁林仍在继续。这种广泛的土地利用和土地覆盖变化(lulcc)不仅通过生物质碳吸收或释放改变全球气候,而且还通过与地表粗糙度、蒸发、蒸腾和反照率变化相关的生物地球物理(BGP)过程改变全球气候。这些BGP效应作为陆地-大气相互作用的局地强迫,导致原地气候响应。由于平流和陆地-大气-海洋的时空相互作用,它们还会产生远离LULCC的非局地气候响应。气候响应信号的非局域分异如何在不同空间尺度上表现出来,而不是其强迫作用,仍是有待进一步研究的对象。在这里,我们提出了气候对LULCC强迫响应的光谱视角,这有助于实现系统的理解。我们将强迫场和响应场的频谱分解引入到基于球面谐波的不同波长信号和中,在空间尺度上比较这两个场。在此基础上,我们开发了一种名为SCISSOR的新工具,即光谱气候信号分离器,用于从响应谱和强迫谱的差异中定义跨尺度响应信号。由bp驱动的温度对森林砍伐的响应的跨尺度信号与由已建立的移动窗口回归和棋盘插值估计的非局部信号非常相似。我们展示了光谱方法在模式相互比较中的效用,并评估了它们在未来研究中的潜力,旨在了解气候与陆地表面变化之间的复杂相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spectral Decomposition and Signal Separation of Climate Responses to Land Cover Changes

Spectral Decomposition and Signal Separation of Climate Responses to Land Cover Changes

Spectral Decomposition and Signal Separation of Climate Responses to Land Cover Changes

Spectral Decomposition and Signal Separation of Climate Responses to Land Cover Changes

Spectral Decomposition and Signal Separation of Climate Responses to Land Cover Changes

While large-scale afforestation and reforestation are heavily discussed as strategies for nature-based climate change mitigation and adaptation, massive deforestation is ongoing. Such widespread land use and land cover changes (LULCCs) do not only alter the global climate through biomass carbon uptake or release but also through biogeophysical (BGP) processes related to changes in surface roughness, evaporation, transpiration, and albedo. These BGP effects act as local forcing to land-atmosphere interactions and lead to in situ climate responses. Caused by advection and spatio-temporal land-atmosphere-ocean interaction, they also generate non-local climate responses that occur remotely from the LULCC. How the non-local partition of climate response signals emerges at different spatial scales than its forcing is still object of ongoing research. Here, we present a spectral perspective on climate responses to LULCC forcing that aids in achieving systematic understanding. We introduce spectral decomposition of forcing and response fields into a sum of signals with different wavelengths based on spherical harmonics to compare the two fields across spatial scales. Building on this approach, we develop a novel tool called SCISSOR, a Spectral ClImate Signal SeparatOR to define the cross-scale response signal from the difference of response and forcing spectra. The cross-scale signal of BGP-driven temperature response to deforestation strongly resembles the non-local signal as estimated by the established moving window regression and checkerboard interpolation. We show the utility of spectral methods for model intercomparison and assess their potential for future studies aiming to understand the complex interaction between climate and land surface changes.

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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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