A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)
A boreal forest model benchmarking dataset for North America: a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)
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北美北方森林模型基准数据集：以包括生物地球化学循环的加拿大陆地表面计划 (CLASSIC) 为案例研究
DOI：
10.1088/1748-9326/ace376
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发表时间：
2023
影响因子：
6.7
通讯作者：
Gosselin, Gabriel Hould
中科院分区：
文献类型：
--
作者：
Qu, Bo;Roy, Alexandre;Melton, Joe R;Black, T Andrew;Amiro, Brian;Euskirchen, Eugénie S;Ueyama, Masahito;Kobayashi, Hideki;Schulze, Christopher;Gosselin, Gabriel Hould
气候变化正在迅速改变北方生物群落的组成、结构和功能，整个北美通常被广泛归类为生态区。不同生态区的复杂变化给利用陆地生态系统模式（TEM）精确模拟北方森林与大气之间的二氧化碳（CO2）和能量交换带来了挑战。涡动协方差测量为评价TEM的性能和指导其发展提供了有价值的信息。在这里，我们编制了一个北方森林模型基准数据集，为北美协调涡度协方差和支持测量从八个黑云杉（云杉）为主，成熟的森林代表。这八个林分，位于北美六个北方生态区，不同的林分特征，干扰历史，气候，冻土条件和土壤特性。通过编译各种数据流，基准测试数据集包括用于参数化、强制和评估TEM的数据。具体来说，它包括半小时、间隙填充的气象强迫数据、模式参数化所必需的辅助数据，以及半小时、间隙填充或分区的CO2（生态系统净生产力、总初级生产力[GPP]和生态系统呼吸[ER]）和能量（潜热[LE]和感热[H]）分量通量数据，以及基于半小时间隙填充质量标准筛选的日总量。我们提出了一个案例研究与加拿大陆地表面计划，包括生物地球化学循环（CLASSIC）：（1）证明我们的数据集基准TEM的效用和（2）提供指导模型的开发和完善。模型技能进行了评估，使用几个统计指标，并进一步检查通过其环境控制的通量响应。我们的研究结果表明，CLASSIC倾向于高估GPP和ER的所有林分。模型关于能通量（即LE和H）的性能在林分之间差异很大，并与纬度表现出中等相关性。我们确定了强有力的模拟通量和环境控制之间的关系，除了H，从而突出了当前的优势和局限性的CLASSIC。
Climate change is rapidly altering composition, structure, and functioning of the boreal biome, across North America often broadly categorized into ecoregions. The resulting complex changes in different ecoregions present a challenge for efforts to accurately simulate carbon dioxide (CO 2) and energy exchanges between boreal forests and the atmosphere with terrestrial ecosystem models (TEMs). Eddy covariance measurements provide valuable information for evaluating the performance of TEMs and guiding their development. Here, we compiled a boreal forest model benchmarking dataset for North America by harmonizing eddy covariance and supporting measurements from eight black spruce (Picea mariana)-dominated, mature forest stands. The eight forest stands, located in six boreal ecoregions of North America, differ in stand characteristics, disturbance history, climate, permafrost conditions and soil properties. By compiling various data streams, the benchmarking dataset comprises data to parameterize, force, and evaluate TEMs. Specifically, it includes half-hourly, gap-filled meteorological forcing data, ancillary data essential for model parameterization, and half-hourly, gap-filled or partitioned component flux data on CO 2 (net ecosystem production, gross primary production [GPP], and ecosystem respiration [ER]) and energy (latent [LE] and sensible heat [H]) and their daily aggregates screened based on half-hourly gap-filling quality criteria. We present a case study with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) to:(1) demonstrate the utility of our dataset to benchmark TEMs and (2) provide guidance for model development and refinement. Model skill was evaluated using several statistical metrics and further examined through the flux responses to their environmental controls. Our results suggest that CLASSIC tended to overestimate GPP and ER among all stands. Model performance regarding the energy fluxes (ie, LE and H) varied greatly among the stands and exhibited a moderate correlation with latitude. We identified strong relationships between simulated fluxes and their environmental controls except for H, thus highlighting current strengths and limitations of CLASSIC.
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DOI：
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发表时间：
2015
期刊：
影响因子：
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Zyrianov, Vyacheslav
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10.1016/j.gloplacha.2016.04.011
发表时间：
2016-07
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作者：
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