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首页> 外文期刊>Journal of Hydrology >Seasonal predictability of the summer hydrometeorology of the River Thames, UK
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Seasonal predictability of the summer hydrometeorology of the River Thames, UK

机译:英国泰晤士河夏季水文气象的季节性可预测性

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There is growing evidence that the seasonal climate of northern extratropical regions can be predicted with lead times of several months. This paper examines the seasonal predictability of summer hydrometeorological conditions (air temperatures, precipitation, soil moisture status and naturalised river flows) for the River Thames basin using significant lagged relationships to wintertime sea surface temperatures (SSTs), sea-ice extent, and atmospheric circulation patterns over the North Atlantic and Tropics since 1946. Stepwise regression on untransformed and lognormal responses reveal strong summertime forcing of air temperatures and precipitation by SSTs; of precipitation and soil moisture by sea-ice extent; and of temperatures, soil moisture and river flow by pressure anomalies over the Barents/Greenland Sea. Not surprisingly, wintertime soil moisture status and river flows were also important endogenous predictors of summer conditions. All seasonal models possessed greater skill than climatology, with levels of explained variance between 13 and 79% when tested using data not used for model calibration. Asymmetry in the most promising predictor-response relationship can also be exploited via compositing techniques. This enables probabilistic forecasting of summer river flows given certain weather patterns in the North Atlantic. (C) 2004 Elsevier B.V. All rights reserved.
机译:越来越多的证据表明,北部热带地区的季节性气候可以用几个月的交货时间来预测。本文研究了泰晤士河盆地夏季水文气象条件(气温,降水,土壤水分状况和自然河流流量)的季节性可预测性,并与冬季海表温度(SSTs),海冰范围和大气环流之间存在明显的滞后关系。自1946年以来北大西洋和热带地区的模式。对未转换和对数正态响应的逐步回归显示,夏季强烈的强迫由SST推动了气温和降水。海冰程度对降水和土壤水分的影响;以及巴伦支/格陵兰海上气压异常引起的温度,土壤湿度和河流流量。毫不奇怪,冬季土壤湿度和河流流量也是夏季条件的重要内生预测因子。所有季节模型都具有比气候学更高的技能,当使用未用于模型校准的数据进行测试时,解释的差异水平在13%至79%之间。最有希望的预测者-反应关系中的不对称性也可以通过合成技术加以利用。在北大西洋某些天气模式下,这可以对夏季河流的流量进行概率预测。 (C)2004 Elsevier B.V.保留所有权利。

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