Land-Use Harmonization 2 for Global Carbon Budget 2022 (LUH2-GCB2022)
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The Land-Use Harmonization 2 (LUH2) dataset is updated every year for use in the annual Global Carbon Budget (GCB) simulations and publications. The LUH2-GCB2022 dataset represents the land-use data used by DGVMs and book-keeping models in the GCB 2022. It improves representation of deforestation in Brazil by using new remote sensing data from MapBiomas and it corrects previous cropland input data errors from FAO for the Democratic Republic of the Congo. For more information, see: Chini et al. 2021, "Land-use harmonization datasets for annual global carbon budgets", Earth System Science Data, https://doi.org/10.5194/essd-13-4175-2021 Hurtt et al. 2020, "Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6", Geoscientific Model Development, https://doi.org/10.5194/gmd-13-5425-2020
土地利用协调2（Land-Use Harmonization 2, LUH2）数据集每年更新，用于支撑年度全球碳预算（Global Carbon Budget, GCB）的模拟研究与成果发表。LUH2-GCB2022数据集为GCB 2022中动态全球植被模型（Dynamic Global Vegetation Models, DGVMs）与簿记模型所采用的土地利用数据集。该数据集通过引入MapBiomas提供的新型遥感数据，优化了巴西境内森林砍伐的表征精度，并修正了此前联合国粮食及农业组织（Food and Agriculture Organization of the United Nations, FAO）所提供的刚果民主共和国农田输入数据中的错误。 更多详细信息可参阅： Chini等，2021：《用于年度全球碳预算的土地利用协调数据集》，《地球系统科学数据》，https://doi.org/10.5194/essd-13-4175-2021 Hurtt等，2020：《用于耦合模式比较计划第六阶段（CMIP6）的850–2100年全球土地利用变化与管理协调数据集（LUH2）》，《地球科学模型开发》，https://doi.org/10.5194/gmd-13-5425-2020
