Fu, Donglei1; Liu, Yuping2; Li, Haizhi3; Liu, Songtao4; Li, Bo1; Thapa, Samit1; Yabo, Stephen1; Sun, Xiazhong1; Tang, Bo1; Zuo, Jinxiang1; Qi, Hong1; Tian, Chongguo5
发表期刊EARTH AND SPACE SCIENCE
2020-09-01
卷号7期号:9页码:14
关键词dataset incorporationland coversoil textureWRF
DOI10.1029/2020EA001173
通讯作者Qi, Hong(hongqi@hit.edu.cn)
英文摘要In this study, Chinese Academy of Sciences land cover dataset (CAS_LC) and soil texture dataset (CAS_ST) as well as Tsinghua University land cover dataset (TU_LC) were incorporated into the Weather Research and Forecasting (WRF) model to evaluate the impacts of land cover and soil texture changes on the surface wind and air temperature as compared with outdated default datasets. Six modeling scenarios including single updating for the three new datasets, combined updating of new datasets (CAS_LC + CAS_ST, TU_LC + CAS_ST), and default datasets are designed. WRF simulations were conducted with three resolutions (9, 3, and 1 km) for the period of 14 July to 31 September 2017 over Harbin. Results of the 10-m wind speed, 10-m wind direction, and 2-m air temperature (T2) were evaluated against WRF default datasets (WLS). Results show that TU_LC-related simulations with lower mean absolute error (MAE) demonstrated the usefulness of this dataset in the wind speed simulation, while the changing soil texture exerted a limited effect on modeled wind. CAS_LC improved simulated wind direction and T2. Significant changes in the three variables were frequently induced by urban and built-up land or water bodies related transformations. The 3-km grid resolution was sufficient to reasonably simulate the surface winds and air temperature. The roughness length was a main factor disturbing the wind speed, while the land cover transformation was responsible for the changes in surface temperature and heat fluxes, thereby affecting T2 simulation.
资助机构National Science and Technology Infrastructure of China; National Key R&D Program of China; Open Project of State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology
收录类别SCI
语种英语
关键词[WOS]WEATHER RESEARCH; SUMMER CLIMATE; USE DATASETS; MODEL; REGION; PRECIPITATION; URBANIZATION; ASSIMILATION; SENSITIVITY; QUALITY
研究领域[WOS]Astronomy & Astrophysics; Geology
WOS记录号WOS:000576647500003
引用统计被引频次：2[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/28444
专题中科院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
中科院海岸带环境过程与生态修复重点实验室
通讯作者Qi, Hong作者单位1.Harbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin, Heilongjiang, Peoples R China
2.Heilongjiang Prov Environm Sci Res Inst, Harbin, Heilongjiang, Peoples R China
3.Heilongjiang Prov Environm Monitoring Ctr Stn, Harbin, Heilongjiang, Peoples R China
4.Meteorol Observ Heilongjiang Prov, Harbin, Heilongjiang, Peoples R China
5.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China
推荐引用方式
GB/T 7714Fu, Donglei,Liu, Yuping,Li, Haizhi,et al. Evaluating the Impacts of Land Cover and Soil Texture Changes on Simulated Surface Wind and Temperature[J]. EARTH AND SPACE SCIENCE,2020,7(9):14.
APAFu, Donglei.,Liu, Yuping.,Li, Haizhi.,Liu, Songtao.,Li, Bo.,...&Tian, Chongguo.(2020).Evaluating the Impacts of Land Cover and Soil Texture Changes on Simulated Surface Wind and Temperature.EARTH AND SPACE SCIENCE,7(9),14.
MLAFu, Donglei,et al."Evaluating the Impacts of Land Cover and Soil Texture Changes on Simulated Surface Wind and Temperature".EARTH AND SPACE SCIENCE 7.9(2020):14.
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