论文

不同参数化方案和再分析资料在典型高原湖泊地区的适用效果评估分析

  • 杨显玉 ,
  • 吕雅琼 ,
  • 文军 ,
  • 马耀明 ,
  • 黄安宁 ,
  • 田辉 ,
  • 张少波
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  • 成都信息工程大学 大气科学学院/高原大气与环境四川省重点实验室,四川 成都 610225;中国科学院西北生态环境资源研究院,甘肃 兰州 730000;中国科学院水利部成都山地灾害与环境研究所,四川 成都 610041;中国科学院青藏高原研究所,北京 100101;青藏高原环境变化与地表过程重点实验室,北京 100101;中国科学院青藏高原地球科学卓越创新中心,北京 100101;南京大学大气科学学院,江苏 南京 210023

收稿日期: 2019-11-14

  网络出版日期: 2020-12-28

基金资助

国家自然科学基金项目(41975130);第二次青藏高原综合科学考察研究项目(2019QZKK0105);2018年四川省教育厅重点项目(18ZA0104)

Evaluations and Analysis of Applicability of the Different Parameterization Schemes and Reanalysis Data in the Typical Alpine Lake Areas

  • Xianyu YANG ,
  • Yaqiong Lü ,
  • Jun WEN ,
  • Yaoming MA ,
  • Anning HUANG ,
  • Hui TIAN ,
  • Shaobo ZHANG
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  • College of Atmospheric Sciences/ Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,Chengdu University of Information Technology,Chengdu,610225,Sichuan,China;Northwest Institute of Eco-Environment andResources Chinese Academy of Sciences,Lanzhou 730000,Gansu,China;Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu,610041,Sichuan,China;Key Laboratory of Tibetan Environment Change and Land Surface Process.Institute of Tibetan Plateau Research Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;CAS Center for Excellence in Tibetan Plateau Earth Sciences,Beijing 100101,China;School of Atmospheric Sciences,Nanjing University,Nanjing 210023,Jiangsu,China

Received date: 2019-11-14

  Online published: 2020-12-28

摘要

利用三种国际常用的再分析资料驱动WRF模式, 并结合2013年6月21 -30日的实际观测资料, 对模式中不同边界层参数化方案和陆面过程参数化方案在青藏高原鄂陵湖、 扎陵湖以及纳木错湖区域的感热、 潜热等陆-气相互作用参量进行了适用性评估。结果表明: WRF模式能够模拟研究区域感热和潜热通量以及2 m温度的日平均变化特征, 但是对感热和潜热通量的峰值均存在一定的高估现象。在扎陵湖、 鄂陵湖区域, 模式对草地下垫面潜热的模拟Case8(RUC+YSU+FNL)的模拟效果最好, RMSE值为27.16 W·m-2; 对于草地感热和草地2 m高度气温的模拟Case10(CLM+YSU+NCEP-2)效果最好, RMSE分别为29.01 W·m-2和1.41 ℃; 对于湖面2 m高度气温的模拟Case5(RUC+YSU+FNL)效果最好, RMSE最低值为1.18 ℃; 整体而言, Case 10的RMSE归一化指数为1.70, 是扎陵湖、 鄂陵湖地区11组试验中整体模拟性能中相对较好的试验方案。在纳木错湖地区, 模式对草地下垫面潜热的模拟Case6(SLAB+YSU+FNL)的效果最好, RMSE最低值为16.11 W·m-2; 对于草地感热的模拟Case8的模拟效果最好, RMSE最低值为42.93 W·m-2; 对于草地2 m高度气温的模拟Case7(Noah+YSU+FNL)效果最好, RMSE最低值为0.69 ℃; 整体而言, Case 1(CLM+YSU+FNL)的RMSE归一化指数为1.0, 是纳木错地区11组试验中整体模拟性能中相对最好的试验方案。

本文引用格式

杨显玉 , 吕雅琼 , 文军 , 马耀明 , 黄安宁 , 田辉 , 张少波 . 不同参数化方案和再分析资料在典型高原湖泊地区的适用效果评估分析[J]. 高原气象, 2020 , 39(6) : 1195 -1206 . DOI: 10.7522/j.issn.1000-0534.2020.00052

Abstract

To explore the simulation performance including latent heat flux, heat flux and other land-atmospheric interaction parameters of the boundary layer parameterization schemes, the land surface parameterization schemes, and the reanalysis data in the study area of the Lake Ngoring and the Lake Nam Co, 11 WRF experiments were carried out from 21 to 30 June 2013, then compared the simulation results with the observation data.The results showed that the WRF model with different parameterization schemes is potential in simulation the average daily variation characteristics of sensible heat flux, the latent heat flux, and 2 m temperature, however, the WRF model overestimate the maximum value of them.In the Lake Ngoring area, the experiment Case8 (RUC+FNL+YSU) showed the best simulation for latent heat flux on grassland, which RMSE was 27.16 W·m-2.The experiment Case10 (CLM+YSU+ NCEP-2) showed the best simulation for sensible heat flux and 2 m temperature on grassland, which RMSE were 29.01 W·m-2, 1.41 ℃, respectively.The experiment Case5 (CLM+FNL+BL) showed the best simulation for 2 m temperature above lake.Overall, the Case10 performed best in simulation the heat flux on grassland and 2 m temperature, which generalized RMSE was 1.70.In the Lake Nam Co area, the experiment Case6 (SLAB+FNL+YSU) showed the best simulation for latent heat flux on grassland, which RMSE was 16.11 W·m-2.The experiment Case8 showed the best simulation for sensible heat flux, which RMSE was 42.93 W·m-2.The experiment Case7 (NOAH+FNL+YSU) showed the best simulation for 2 m temperature above grassland, which RMSE was 0.69 ℃.Overall, the Case 1 (CLM+YSU+FNL) performed best in simulation the heat flux and 2 m temperature on grassland, which generalized RMSE was 1.0.

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