Improvement and Evaluation of the Latest Version of WRF-Lake at a Deep Riverine Reservoir  

作　　者：Shibo GUO Dejun ZHU Yongcan CHEN 

机构地区：[1]State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China [2]Southwest Petroleum University,Chengdu 610599,Sichuan,China

出　　处：《Advances in Atmospheric Sciences》2023年第4期682-696,共15页大气科学进展（英文版）

基　　金：the financial support from the National Key R&D Program of China(Grant No.2018YFE0196000);the National Natural Science Foundation of China(Grant No.52179069)。

摘　　要：The WRF-lake vertically one-dimensional(1D)water temperature model,as a submodule of the Weather Research and Forecasting(WRF)system,is being widely used to investigate water-atmosphere interactions.But previous applications revealed that it cannot accurately simulate the water temperature in a deep riverine reservoir during a large flow rate period,and whether it can produce sufficiently accurate heat flux through the water surface of deep riverine reservoirs remains uncertain.In this study,the WRF-lake model was improved for applications in large,deep riverine reservoirs by parametric scheme optimization,and the accuracy of heat flux calculation was evaluated compared with the results of a better physically based model,the Delft3D-Flow,which was previously applied to different kinds of reservoirs successfully.The results show:(1)The latest version of WRF-lake can describe the surface water temperature to some extent but performs poorly in the large flow period.We revised WRF-lake by modifying the vertical thermal diffusivity,and then,the water temperature simulation in the large flow period was improved significantly.(2)The latest version of WRF-lake overestimates the reservoir-atmosphere heat exchange throughout the year,mainly because of underestimating the downward energy transfer in the reservoir,resulting in more heat remaining at the surface and returning to the atmosphere.The modification of vertical thermal diffusivity can improve the surface heat flux calculation significantly.(3)The longitudinal temperature variation and the temperature difference between inflow and outflow,which cannot be considered in the 1D WRF-lake,can also affect the water surface heat flux.

关 键 词：Weather Research and Forecasting(WRF)system water–atmosphere interactions riverine reservoir inflow-outflow thermal diffusivity 

分 类 号：P4[天文地球—大气科学及气象学]