青藏高原综合科学考察研究

气候变化背景下陆面模式研究进展及不足

  • 兰措
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  • 1.中国科学院青藏高原研究所 环境变化与地表过程重点实验室,北京 100101
    2.中国科学院青藏高原 研究所 青藏高原地球系统与资源环境国家重点实验室,北京 100101
    3.中国科学院大学,北京 100049
兰措,研究员,主要从事寒区水文气象研究. E-mail:lancuo@itpcas.ac.cn

收稿日期: 2023-09-02

  修回日期: 2023-11-04

  网络出版日期: 2024-01-16

基金资助

国家自然科学基金项目(42371130);国家科技专项“第二次青藏高原综合科学考察研究”项目(2019QZKK010203)

Advances and Deficiencies in Land Surface Modeling Under Global Warming

  • CUO Lan
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  • 1.Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
    2.State Key Laboratory of Tibetan Plateau Earth System Science, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
    3.University of Chinese Academy of Sciences, Beijing 100049, China
CUO Lan, Professor, research area includes cold region hydrometeorology. E-mail: lancuo@itpcas.ac.cn

Received date: 2023-09-02

  Revised date: 2023-11-04

  Online published: 2024-01-16

Supported by

the National Natural Science Foundation of China(42371130);The Second Tibetan Plateau Scientific Expedition and Research (STEP) Program(2019QZKK010203)

摘要

气候变暖背景下,全球气候系统各圈层发生了复杂的响应和反馈。作为气候系统重要组成部分的陆地表面是地气水热交换、地球化学要素传输、水文过程产生和植被生长的界面,受气候变化影响显著。气候变化不仅直接影响水文过程,还可以通过影响植被的结构和生理特征,间接影响水文过程。陆面模式是研究气候变化影响和反馈的主要工具。全球描述陆气界面物质和能量交换过程的模式主要有3类:全球陆面过程模式、全球水文模式和全球动态植被模式。3种模式针对不同的科学问题,各有其侧重点,之间的差异较大。从20世纪90年代开始至今的许多陆面模式比较计划不断指出模式的不足及其原因,从而促进了陆面模式的不断发展。然而陆面模式依然存在很多不足,有待进一步提高和发展。如目前的水文模式普遍缺乏动态植被过程,无法准确模拟和预测长期气候变化导致的植被变化对水文过程的影响,累及极端水文事件的模拟和未来水资源的预估。水文过程模型耦合动态植被过程是水文学研究的前沿领域。作为亚洲水塔的青藏高原气候变化显著,冰冻圈要素不仅包括冰川、积雪和冻土退缩,而且植被生长趋好、变绿。因此,在青藏高原气候变化对水文过程的影响研究中,更应考虑气候变化导致的植被变化的水文效应。此外,陆面模式对青藏高原土壤结构内部的水热交换过程描述不足。为进一步提高陆面模式在青藏高原的模拟能力,今后需加强对青藏高原土壤质地观测和数据搜集整理,以及对土壤冻融阶段的水热物理过程的观测,提高对过程和机理的认识,并将有关的认识体现在陆面模式中。

本文引用格式

兰措 . 气候变化背景下陆面模式研究进展及不足[J]. 地球科学进展, 2024 , 39(1) : 46 -55 . DOI: 10.11867/j.issn.1001-8166.2023.079

Abstract

Global warming caused by human activities has resulted in significant changes in the climate system, including changes in the regional climate, extreme events, snow, ice, vegetation, air quality, water cycle, and responses and feedbacks among various components of the climate system. The land surface is where water, energy, and geochemical transports to and from the atmosphere occur, hydrological processes occur, and vegetation grows. Hence, the land surface is sensitive to climate change. Climate change affects the hydrological processes not only directly but also indirectly by affecting the vegetation structure and physiology. Land surface models are useful for studying climate change and its impacts on the land surface by modeling the relevant responses and feedbacks. There are three types of land surface models that simulate the mass and energy exchange between the land surface and atmosphere: the global land surface process model, global hydrological model, and global dynamic vegetation model. These three types of models focus on different specific components of the land surface. Since the 1990s, various land surface comparison projects have revealed many problems and shortcomings in land surface models and have furthered their development. However, various issues with these models still need to be addressed. For example, one major problem with the global hydrological model is that it does not incorporate dynamic vegetation growth; hence, it cannot project long-term vegetation change impacts on the hydrological processes—let alone extreme hydrological events such as flooding and drought—and cannot be useful with respect to future water resource management. Incorporating dynamic vegetation growth into hydrological models is a frontline research topic in hydrology. Moreover, many land surface models represent soil textures and heat exchanges among soil liquids, solids, and gases on the Tibetan Plateau insufficiently. This aspect requires improvement by enhancing the observations, understanding the relevant mechanisms, and realizing the mechanisms and processes in the land surface models. The Tibetan Plateau provides fresh water to the surrounding regions and forms and modulates climate and weather both regionally and globally; thus, it is dubbed the Asian Water Tower. Improving the land surface model capability of the plateau will improve the understanding of climate change and its impacts, both regionally and globally.

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