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A simple groundwater scheme in the TRIP river routing model: global off-line evaluation against GRACE terrestrial water storage estimates and observed river discharges

机译:TRIP河道模型中的一个简单的地下水方案:针对GRACE陆地储水量估计值和观测到的河流流量进行全球离线评估

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Groundwater is a non-negligible component of the global hydrological cycle, and its interaction with overlying unsaturated zones can influence water and energy fluxes between the land surface and the atmosphere. Despite its importance, groundwater is not yet represented in most climate models. In this paper, the simple groundwater scheme implemented in the Total Runoff Integrating Pathways (TRIP) river routing model is applied in off-line mode at global scale using a 0.5° model resolution. The simulated river discharges are evaluated against a large dataset of about 3500 gauging stations compiled from the Global Data Runoff Center (GRDC) and other sources, while the terrestrial water storage (TWS) variations derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission help to evaluate the simulated TWS. The forcing fields (surface runoff and deep drainage) come from an independent simulation of the Interactions between Soil–Biosphere–Atmosphere (ISBA) land surface model covering the period from 1950 to 2008. Results show that groundwater improves the efficiency scores for about 70% of the gauging stations and deteriorates them for 15 %. The simulated TWS are also in better agreement with the GRACE estimates. These results are mainly explained by the lag introduced by the lowfrequency variations of groundwater, which tend to shift and smooth the simulated river discharges and TWS. A sensitivity study on the global precipitation forcing used in ISBA to produce the forcing fields is also proposed. It shows that the groundwater scheme is not influenced by the uncertainties in precipitation data.
机译:地下水是全球水文循环不可忽视的组成部分,它与上覆的非饱和区的相互作用会影响陆地表面与大气之间的水和能量通量。尽管很重要,但在大多数气候模型中尚不能代表地下水。在本文中,在总径流综合路径(TRIP)河道模型中实施的简单地下水方案在全球范围内以0.5°模型分辨率在离线模式下应用。根据从全球数据径流中心(GRDC)和其他来源汇编的约3500个测量站的大型数据集对模拟的河流流量进行了评估,而地面水储量(TWS)的变化则来自重力恢复和气候实验(GRACE)卫星任务帮助评估模拟的TWS。强迫场(地表径流和深层排水)来自对1950年至2008年期间土壤-生物圈-大气(ISBA)陆地表面模型之间相互作用的独立模拟。结果表明,地下水可提高效率得分约70%计量站的数量,并使它们恶化15%。模拟的TWS也与GRACE估计更好地吻合。这些结果主要由地下水低频变化引起的滞后解释,该滞后趋于使模拟的河流流量和TWS平移和平滑。还提出了对ISBA用于产生强迫场的全球降水强迫的敏感性研究。结果表明,地下水方案不受降水数据不确定性的影响。

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