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A review on evapotranspiration data assimilation based on hydrological models

机译:a review on evapotranspiration data assimilation based on hydrological models

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摘要

Accurate estimation of evapotranspiration (ET), especially at the regional scale, is an extensively investigated topic in the field of water science. The ability to obtain a continuous time series of highly precise ET values is necessary for improving our knowledge of fundamental hydrological processes and for addressing various problems regarding the use of water. This objective can be achieved by means of ET data assimilation based on hydrological modeling. In this paper, a comprehensive review of ET data assimilation based on hydrological modeling is provided. The difficulties and bottlenecks of using ET, being a non-state variable, to construct data assimilation relationships are elaborated upon, with a discussion and analysis of the feasibility of assimilating ET into various hydrological models. Based on this, a new easy-to-operate ET assimilation scheme that includes a water circulation physical mechanism is proposed. The scheme was developed with an improved data assimilation system that uses a distributed time-variant gain model (DTVGM), and the ET-soil humidity nonlinear time response relationship of this model. Moreover, the ET mechanism in the DTVGM was improved to perfect the ET data assimilation system. The new scheme may provide the best spatial and temporal characteristics for hydrological states, and may be referenced for accurate estimation of regional evapotranspiration.
机译:准确估算蒸散量(ET),尤其是在区域范围内,是水科学领域广泛研究的话题。获得高精度ET值的连续时间序列的能力对于提高我们对基本水文过程的认识以及解决与用水有关的各种问题都是必需的。该目标可以通过基于水文模型的ET数据同化来实现。本文对基于水文模型的ET数据同化进行了全面综述。阐述了使用作为非状态变量的ET构建数据同化关系的困难和瓶颈,并讨论和分析了将ET同化为各种水文模型的可行性。在此基础上,提出了一种新的易于操作的ET同化方案,该方案包括水循环物理机制。该方案是使用改进的数据同化系统开发的,该系统使用了分布式时变增益模型(DTVGM)以及该模型的ET-土壤湿度非线性时间响应关系。此外,改进了DTVGM中的ET机制,以完善ET数据同化系统。新方案可以为水文状况提供最佳的空间和时间特征,并可以为区域蒸散的准确估算提供参考。

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