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Seasonal streamflow forecasts for Europe – Part 2: Sources of skill

机译:欧洲的季节性流量预报–第2部分:技能来源

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This paper uses hindcasts (1981–2010) to investigate the sources of skill in seasonal hydrological forecasts for Europe. The hindcasts were produced with WUSHP (Wageningen University Seamless Hydrological Prediction system). Skill was identified in a companion paper. In WUSHP, hydrological processes are simulated by running the Variable Infiltration Capacity (VIC) hydrological model forced with an ensemble of bias-corrected output from the seasonal forecast system?4 (S4) of the European Centre for Medium-Range Weather Forecasts (ECMWF). We first analysed the meteorological forcing. The precipitation forecasts contain considerable skill for the first lead month but hardly any significant skill at longer lead times. Seasonal forecasts of temperature have more skill. Skill in summer temperature is related to climate change and is more or less independent of lead time. Skill in February and March is unrelated to climate change. Different sources of skill in hydro-meteorological variables were isolated with a suite of specific hydrological hindcasts akin to ensemble streamflow prediction (ESP). These hindcasts show that in Europe, initial conditions of soil moisture (SM) form the dominant source of skill in run-off. From April to July, initial conditions of snow contribute significantly to the skill. Some remarkable skill features are due to indirect effects, i.e. skill due to forcing or initial conditions of snow and soil moisture at an earlier stage is stored in the hydrological state (snow and/or soil moisture) of a later stage, which then contributes to persistence of skill. Skill in evapotranspiration (ET) originates mostly in the meteorological forcing. For run-off we also compared the full hindcasts (with S4 forcing) with two types of ESP (or ESP-like) hindcasts (with identical forcing for all years). Beyond the second lead month, the full hindcasts are less skilful than the ESP (or ESP-like) hindcasts, because inter-annual variations in the S4 forcing consist mainly of noise which enhances degradation of the skill.
机译:本文使用后预报(1981–2010)来调查欧洲季节性水文预报中的技能来源。后cast是用WUSHP(瓦格宁根大学无缝水文预报系统)制作的。随行论文中鉴定了技能。在WUSHP中,水文过程是通过运行可变渗透能力(VIC)水文模型来模拟的,该模型由季节预报系统的偏差校正后的输出集合强迫进行?4(S4)欧洲中距离天气预报中心(ECMWF) 。我们首先分析了气象强迫。降水预测在第一个月的交接中包含了相当大的技能,但是在较长的交接时间中几乎没有任何重要的技能。季节性的温度预报更具技巧。夏季温度技能与气候变化有关,或多或少与交货时间无关。 2月和3月的技能与气候变化无关。分离了不同的水文气象变量技能来源,并通过一组类似于集合流预测(ESP)的特定水文后遗症进行了分离。这些后遗症表明,在欧洲,土壤水分(SM)的初始条件是径流技能的主要来源。从四月到七月,降雪的初始条件对该技能有很大贡献。一些非凡的技能特征是由于间接影响而产生的,即,由于强行施加或初始条件而产生的技能,较早阶段的雪和土壤水分以较晚阶段的水文状态(雪和/或土壤水分)存储,因此有助于坚持不懈的技巧。蒸散(ET)的技能主要起源于气象强迫。对于径流,我们还比较了全部后兆(具有S4强迫)和两种类型的ESP(或类似ESP)后兆(所有年份均具有相同的强迫)。在第二个工作月之后,完整的后遗症要比ESP(或类似ESP)的后遗症要熟练一些,因为S4强迫的年际变化主要是由噪音引起的,这会加剧技能的退化。

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