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首页> 外文期刊>Arctic, antarctic, and alpine research >Quantitative calibration of remote mountain-lake sediments as climatic recorders of air temperature and ice-cover duration
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Quantitative calibration of remote mountain-lake sediments as climatic recorders of air temperature and ice-cover duration

机译:定量校准远山湖沉积物,作为气温和覆冰持续时间的气候记录仪

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A combination of empirical modeling and a diatom-based transfer function was developed to reconstruct air temperature and ice-cover duration through the study of lake sediments. By using a thermal degree-day modeling approach, ice-cover duration on European mountain and sub-Arctic lakes is found to be very sensitive to temperature change. For example, Our model, which incorporates a weather generator, predicts a 100-day shortening in ice-cover duration for a 3 degrees C temperature rise for catchments at elevations of 1500 in in the Southern Alps and the Pyrenees. For the more maritime takes of Scotland., 30% higher sensitivities (130 d per 3 degrees C) are found, whereas lakes in northwest Finland, in a more continental setting, have only half the sensitivity (50 d per 3 degrees C). A pan-European data set of the species abundance of 252 diatom taxa in 459 mountain and sub-Arctic lakes has been compiled and taxonomically harmonized. Transfer functions were created that relate both seasonal air temperature and ice-cover duration to diatom species composition on the basis of a weighted averaging-partial least squares (WA-PLS) approach. Cross validation was used to test the transfer functions. For ice-cover duration the pan-European data set yields an R-squared value of 0.73, a jack-knifed R-squared value of 0.58, and a residual-mean-square error of prediction (RMSEP) of 23 days. A regional, northern Fennoscandian transect (151 lakes, 122 taxa) yields a jack-knifed R-squared value of 0.50 and an RMSEP of 9 days. For air temperature the pan-European database displayed temperatures. This result contrasts with greatest skill when reconstructing winter or spring the summer temperatures normally Studied when using local elevation gradients. The northern Fennoscandian transect has a remarkably low winter RMSEP of 0.73 degrees C.
机译:通过对湖泊沉积物的研究,将经验模型与基于硅藻的传递函数相结合,以重建气温和覆冰持续时间。通过使用热度日模型方法,发现欧洲山区和亚北极湖上的冰盖持续时间对温度变化非常敏感。例如,我们的模型结合了天气生成器,预测在南阿尔卑斯山和比利牛斯山脉的集水区海拔1500℃升高3摄氏度,冰盖持续时间缩短100天。对于苏格兰的海上航行而言,灵敏度提高了30%(每3摄氏度130 d),而芬兰西北部的湖泊在大陆分布更大的情况下,灵敏度只有一半(每3摄氏度50 d)。泛欧洲的459个山地和亚北极湖中252个硅藻类群的物种丰富度的数据集已被汇编并在分类学上进行了协调。基于加权平均偏最小二乘(WA-PLS)方法,创建了将季节性气温和冰盖持续时间与硅藻物种组成相关的传递函数。交叉验证用于测试传递函数。对于覆冰持续时间,泛欧洲数据集得出的R平方值为0.73,千斤顶R平方值为0.58,预测的均方误差(RMSEP)为23天。 Fennoscandian北部一个区域性区域(151个湖泊,122个分类单元)的千斤顶R平方值为0.50,RMSEP为9天。对于空气温度,泛欧洲数据库显示温度。在重建冬季或春季使用本地海拔梯度通常研究的夏季温度时,此结果与最熟练的技术形成对比。北部的Fennoscandian断面的冬季RMSEP非常低,为0.73摄氏度。

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