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首页> 外文期刊>Journal of paleolimnology >Combining lake core records with the limnologic model DYRESM-CAEDYM to evaluate lake response during the Little Ice Age and Medieval Climate Anomaly
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Combining lake core records with the limnologic model DYRESM-CAEDYM to evaluate lake response during the Little Ice Age and Medieval Climate Anomaly

机译:结合湖泊核心记录和湖泊学模型DYRESM-CAEDYM来评估小冰期和中世纪气候异常期间的湖泊响应

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The Little Ice Age and Medieval Climate Anomaly are two climatic intervals within the last 2000 years that had distinctive conditions in many North American paleoclimate reconstructions. During each of these intervals, the Crevice Lake, Montana paleorecord shows distinctive limnological characteristics inferred from fossil diatoms that reflect changes in temperature seasonality and lake thermal structure. A thermodynamic-ecological model, DYRESM-CAEDYM, was used to estimate climatic conditions during these time intervals and to explore the potential for linking paleo-records with lake models to evaluate the dynamic interactions of environmental variables in influencing diatom populations over time. The model effectively simulates the timing and distribution of Stephanodiscus and Cyclotella populations evident in the modern Crevice Lake observational data. In sensitivity tests altering multiple weather inputs had a greater effect on lake temperature isotherm patterns compared with changing only single variables, which suggests the interactive effect of multiple climate variables in affecting lake thermal structure. The model simulations show the importance of the rate of climate change in affecting lake thermal structure and diatom community structure, particularly during spring and early summer. The model also provides constraints on the range of changes in solar radiation, temperature, and wind speeds that may have produced the diatom communities characteristic of the Medieval Climate Anomaly, Little Ice Age, and contemporary times.
机译:小冰期和中世纪气候异常是过去2000年中的两个气候间隔,在北美许多古气候重建中都有独特的条件。在每个时间间隔中,蒙大纳州的古迹湖克雷维斯湖显示出由化石硅藻推断出的独特的岩性特征,反映了温度季节性和湖泊热结构的变化。使用热力学生态模型DYRESM-CAEDYM来估计这些时间间隔内的气候条件,并探索将古记录与湖泊模型联系起来以评估环境变量随时间影响硅藻种群动态相互作用的潜力。该模型有效地模拟了现代克雷维斯湖观测数据中明显的Stephanodiscus和Cyclotella种群的时间分布。在敏感性测试中,与仅更改单个变量相比,更改多个天气输入对湖泊温度等温线模式的影响更大,这表明多个气候变量在影响湖泊热结构方面具有交互作用。模型模拟表明,气候变化速率对影响湖泊热结构和硅藻群落结构的重要性,特别是在春季和初夏期间。该模型还提供了对太阳辐射,温度和风速变化范围的约束,这些变化可能导致产生了中世纪气候异常,小冰期和当代时代的硅藻群落特征。

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