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ORCHIDEE_3_r7267

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DataCite Commons2025-01-26 更新2024-07-13 收录
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https://data.ipsl.fr/catalog/metadata/9af22472-c438-41d7-815e-09d629e55cf8
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资源简介:
Earth System Models (ESM) represent the time evolution of the biophysical (energy, water cycles) and biogeochemical (carbon cycle) components of the Earth. When used for near-future projections in the context of the Coupled Model Intercomparison Project (CMIP), they use as forcings the evolution of greenhouse gas and other pollutant concentrations and land-use changes simulated by an ensemble of Integrated Assessment Models (IAMs) for a combination of socio-economic pathways and mitigation targets (SSPs). More precisely, only one IAM output is used as representative of a single SSP while the inter-IAM spread is large for ammonia emissions and land-use changes, for instance. This makes the comparison of key ESM diagnostics among SSPs significantly noisy, without the capacity of disentangling SSP-driven and IAM-driven factors. In this paper, we quantify the projected change in land carbon store (CLCS) for the different SSPs with an advanced version of a land surface model embedded into IPSL-CM6 ESM. Through a set of land-only factorial simulations, we specifically aim at estimating the CLCS uncertainties associated with land-use change and nitrogen deposition trajectories. We showed that the spread of the simulated change in global land carbon store induced by the uncertainty on land-use changes is slightly larger than the one associated with the uncertainty on atmospheric CO2. Globally, uncertainty associated with N depositions is responsible for a spread in CLCS lower by a factor three, than the one driven by atmospheric CO2 or land-use changes. Our study calls for making available additional IAM scenarios for each SSP to be used in the next CMIP exercise, in order to specifically assess the IAM-related uncertainty impacts on the carbon cycle and the climate system.
提供机构:
ESPRI/IPSL
创建时间:
2023-10-17
搜集汇总
数据集介绍
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背景与挑战
背景概述
ORCHIDEE_3_r7267是ORCHIDEE动态全球植被模型的一个特定版本,主要用于支持全球碳预算评估和未来陆地碳储量变化预测研究。该数据集的核心功能是模拟碳循环过程,特别关注人为二氧化碳排放的再分配以及土地利用变化和氮沉降对陆地碳存储的影响。作为地球系统模型的关键组成部分,它以NETCDF格式提供,服务于气候学和生态学领域的研究与分析。
以上内容由遇见数据集搜集并总结生成
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