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Verification of a coupled climate-hydrological model against Holocene palaeohydrological records

机译:针对全新世古水文记录的气候水文耦合模型的验证

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We have coupled a climate model (ECBilt-CLIO-VECODE) and a hydrological model (STREAM) offline to simulate palaeodischarge of nineteen rivers (Amazon, Congo, Danube, Ganges, Krishna, Lena, Mackenzie, Mekong, Meuse, Mississippi, Murray-Darling, Nile, Oder, Rhine, Sacramento-San Joaquin, Syr Darya, Volga, Volta, Zambezi) for three time-slices: Early Holocene (9000-8650 BP), Mid-Holocene (6200-5850 BP) and Recent (1750-2000 AD). To evaluate the model's skill in retrodicting broad changes in mean palaeodischarge we have compared the model results with palaeodischarge estimates from multi-proxy records. We have compared the general trends inferred from the proxy data with statistical differences in modelled discharge between the three periods, thereby developing a technique to assess the level of agreement between the model and proxy data. The quality of the proxy data for each basin has been classed as good, reasonable or low. Of the model runs for which the proxy data were good or reasonable, 72% were in good agreement with the proxy data, and 92% were in at least reasonable agreement. We conclude that the coupled climate-hydrological model performs well in simulating mean discharge in the time-slices studied. The discharge trends inferred from the proxy and model data closely follow latitudinal and seasonal variations in insolation over the Holocene. For a number of basins for which agreement was not good we have identified specific mechanisms which could be responsible for the discrepancy, primarily the absence of the Laurentide ice sheet in our model. In order to use the model in an operational sense within water management studies it would be useful to use a higher spatial resolution and a daily tune-step.
机译:我们已将气候模型(ECBilt-CLIO-VECODE)和水文模型(STREAM)离线耦合,以模拟19条河流(亚马逊河,刚果河,多瑙河,恒河,克里希纳河,莉娜河,麦肯齐河,湄公河,默兹河,密西西比河,默里-普拉达令,尼罗河,奥得河,莱茵河,萨克拉门托-圣华金,西尔达里亚,伏尔加河,伏打,赞比西河)进行了三个时间切片:全新世(9000-8650 BP),全新世(6200-5850 BP)和最近(1750) -2000年)。为了评估模型预测平均古土壤流量的广泛变化的技巧,我们将模型结果与来自多代理记录的古土壤流量估算值进行了比较。我们将代理数据推断出的总体趋势与三个时期之间建模排放的统计差异进行了比较,从而开发了一种评估模型与代理数据之间一致性水平的技术。每个流域的代理数据的质量分为好,合理或低。在代理数据良好或合理的模型运行中,有72%与代理数据具有良好的一致性,而92%至少具有合理的一致性。我们得出结论,在研究的时间片中,气候水文耦合模型在模拟平均流量方面表现良好。从代理数据和模型数据推断出的排放趋势与全新世日照的纬度和季节变化密切相关。对于许多协议不一致的盆地,我们已经确定了可能导致差异的具体机制,主要是我们的模型中缺乏Laurentide冰盖。为了在水管理研究中从操作意义上使用该模型,使用较高的空间分辨率和每日调整步骤将很有用。

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