Department of Physical Geography, Bolin Centre for Climate Research, Stockholm University, SE-10691, Stockholm, Sweden.
Department of Biogeochemical Integration, Max Planck Institute for Biogeochemistry, D-07745, Jena, Germany.
Sci Rep. 2020 Mar 16;10(1):4817. doi: 10.1038/s41598-020-61621-y.
Soil moisture is an important variable for land-climate and hydrological interactions. To investigate emergent large-scale, long-term interactions between soil moisture and other key hydro-climatic variables (precipitation, actual evapotranspiration, runoff, temperature), we analyze monthly values and anomalies of these variables in 1378 hydrological catchments across Europe over the period 1980-2010. The study distinguishes results for the main European climate regions, and tests how sensitive or robust they are to the use of three alternative observational and re-analysis datasets. Robustly across the European climates and datasets, monthly soil moisture anomalies correlate well with runoff anomalies, and extreme soil moisture and runoff values also largely co-occur. For precipitation, evapotranspiration, and temperature, anomaly correlation and extreme value co-occurrence with soil moisture are overall lower than for runoff. The runoff results indicate a possible new approach to assessing variability and change of large-scale soil moisture conditions by use of long-term time series of monitored catchment-integrating stream discharges.
土壤湿度是陆地-气候和水文相互作用的一个重要变量。为了研究土壤湿度与其他关键水文气候变量(降水、实际蒸散、径流量、温度)之间出现的大规模、长期的相互作用,我们分析了欧洲 1378 个水文流域在 1980-2010 年期间的月值和这些变量的异常值。本研究区分了主要欧洲气候区的结果,并测试了它们对使用三种替代观测和再分析数据集的敏感性或稳健性。在整个欧洲气候区和数据集内,土壤湿度异常与径流量异常高度相关,并且极端土壤湿度和径流量值也高度同时出现。对于降水、蒸散和温度,与土壤湿度的异常相关和极值同时出现的情况总体上低于径流量。径流量的结果表明,通过使用监测流域综合河川流量的长期时间序列,可能为评估大规模土壤湿度条件的变异性和变化提供一种新方法。