Development of a coupled simulation framework representing the lake and river continuum of mass and energy (TCHOIR v1.0)
Development of a coupled simulation framework representing the lake and river continuum of mass and energy (TCHOIR v1.0)
复制标题
DOI：
10.5194/gmd-14-5669-2021
复制
发表时间：
2021-09
影响因子：
5.1
通讯作者：
Daisuke Tokuda;Hyungjun Kim;Dai Yamazaki;T. Oki
中科院分区：
文献类型：
--
作者：
Daisuke Tokuda;Hyungjun Kim;Dai Yamazaki;T. Oki
抽象的。地表水温是影响河流湖泊系统水质和能量平衡的关键变量，河流湖泊系统中热力学和流体动力学密切耦合。径流一般在热量的水平再分配中起作用，而湖泊中的热交换主要发生在垂直方向上。然而，数值模型模拟了非耦合河流和湖泊的水温，它们之间在全球范围内的联系仍然不清楚。在这项研究中，我们提出了一个集成的模拟框架：紧耦合框架水文开放水域相互作用的河湖网络（TCHOIR，读作“tee quire”）。其目的是模拟陆地河流和热力学作为一个连续的质量和能量的固体和液体相重新分配之间的河流和湖泊。TCHOIR使用在河流和湖泊网络上统一的高分辨率地理信息。通过与现场观测和卫星资料产品的比较，验证了模型的有效性，并用多个气象强迫数据集检验了模型的敏感性。结果表明，“耦合”模式对湖泊下游流量和温度的影响优于“河流模式”模式;此外，“耦合”模式对湖泊水位和温度的季节和年际变化的影响也更为可靠。在耦合模型中加入湖泊导致中纬度地区冬季河流温度升高，高纬度地区夏季温度降低，这反映了湖泊作为一种大型储热形式的作用。本文提出的河湖耦合框架为进一步阐明地表水在地球能量循环中的作用提供了基础。
Abstract. Terrestrial surface water temperature is a key variable affecting water quality and energy balance, and thermodynamics and fluid dynamics are tightly coupled in fluvial and lacustrine systems. Streamflow generally plays a role in the horizontal redistribution of heat, and thermal exchange in lakes predominantly occurs in a vertical direction. However, numerical models simulate the water temperature for uncoupled rivers and lakes, and the linkages between them on a global scale remain unclear. In this study, we proposed an integrated modeling framework: Tightly Coupled framework for Hydrology of Open water Interactions in River–lake network (TCHOIR, read as “tee quire”). The objective is to simulate terrestrial fluvial and thermodynamics as a continuum of mass and energy in solid and liquid phases redistributed among rivers and lakes. TCHOIR uses high-resolution geographical information harmonized over fluvial and lacustrine networks. The results have been validated through comparison with in situ observations and satellite-based data products, and the model sensitivity has been tested with multiple meteorological forcing datasets. It was observed that the “coupled” mode outperformed the “river-only” mode in terms of discharge and temperature downstream of lakes; moreover, it was observed that seasonal and interannual variation in lake water levels and temperature are also more reliable in the “coupled” mode. The inclusion of lakes in the coupled model resulted in an increase in river temperatures during winter at midlatitudes and a decrease in temperatures during summer at high latitudes, which reflects the role of lakes as a form of large heat storage. The river–lake coupling framework presented herein provides a basis for further elucidating the role of terrestrial surface water in Earth's energy cycle.