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Local control on precipitation in a fully coupled climate-hydrology model

机译:完全耦合的气候水文学模型中的降水局部控制

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The ability to simulate regional precipitation realistically by climate models is essential to understand and adapt to climate change. Due to the complexity of associated processes, particularly at unresolved temporal and spatial scales this continues to be a major challenge. As a result, climate simulations of precipitation often exhibit substantial biases that affect the reliability of future projections. Here we demonstrate how a regional climate model (RCM) coupled to a distributed hydrological catchment model that fully integrates water and energy fluxes between the subsurface, land surface, plant cover and the atmosphere, enables a realistic representation of local precipitation. Substantial improvements in simulated precipitation dynamics on seasonal and longer time scales is seen for a simulation period of six years and can be attributed to a more complete treatment of hydrological sub-surface processes including groundwater and moisture feedback. A high degree of local influence on the atmosphere suggests that coupled climate-hydrology models have a potential for improving climate projections and the results further indicate a diminished need for bias correction in climate-hydrology impact studies.
机译:通过气候模型现实地模拟区域降水的能力对于理解和适应气候变化至关重要。由于相关过程的复杂性,特别是在未解决的时间和空间尺度上,这仍然是一个重大挑战。结果,降水的气候模拟常常表现出很大的偏差,从而影响未来预测的可靠性。在这里,我们演示了将区域气候模型(RCM)与分布式水文集水模型相结合,该模型完全集成了地下,陆地表面,植物覆盖和大气之间的水和能量通量,从而能够真实地表示局部降水。在六年的模拟期内,模拟降水动力学在季节和更长的时间尺度上得到了实质性的改善,这可以归因于对水文地下过程的更完整处理,包括地下水和水分反馈。局部对大气的高度影响表明,耦合的气候水文学模型具有改善气候预测的潜力,结果进一步表明,在气候水文学影响研究中对偏差校正的需求减少。

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