Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2021.105619 |
Improving the downscaled springtime temperature in Central Asia through assimilating meteorological and snow cover observations | |
Yao Yao, Yong Luo, Jianbin Huang, Jinyu Ma | |
2021-04-12 | |
发表期刊 | Atmospheric Research
![]() |
出版年 | 2021 |
英文摘要 | Central Asia is vulnerable to climate change due to its scarce water resources and fragile ecosystems. However, the limited number of meteorological observations in the region restrict the study of its climate, hydrology and ecology. In order to improve the downscaled springtime temperature in Central Asia, this study explored the impact of atmospheric and snow data assimilation on climate simulations in Central Asia based on the Weather Research and Forecast (WRF) model and the WRF Data Assimilation (DA) system. The results based on climate simulations in Central Asia during the spring of 2017 show that the WRF model surface temperature simulation has a significant cold bias in Central Asia due to underestimation of snow melt. By assimilating conventional meteorological observations, the cold bias in Central Asia was reduced. This improvement is the result of both the direct effect of the analysis increment, and feedback effects from snow and atmosphere. In addition to the assimilation of atmospheric data, snow melt in Central Asia was better simulated through the assimilation of Japan Aerospace Exploration Agency (JAXA) Satellite Monitoring for Environmental Studies (JASMES) snow cover data. This further reduced the cold bias of the springtime temperature in Central Asia. Compared with an experiment that only assimilated atmospheric observations, the experiment that assimilated both snow and atmospheric data reduced the increase in temperature from the analysis and simulated a warmer land surface. This resulted in more sensible heat flux from the surface to the atmosphere and stronger sublimation and evaporation and thus improved the simulation of soil moisture. |
领域 | 地球科学 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/322762 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Yao Yao, Yong Luo, Jianbin Huang, Jinyu Ma. Improving the downscaled springtime temperature in Central Asia through assimilating meteorological and snow cover observations[J]. Atmospheric Research,2021. |
APA | Yao Yao, Yong Luo, Jianbin Huang, Jinyu Ma.(2021).Improving the downscaled springtime temperature in Central Asia through assimilating meteorological and snow cover observations.Atmospheric Research. |
MLA | Yao Yao, Yong Luo, Jianbin Huang, Jinyu Ma."Improving the downscaled springtime temperature in Central Asia through assimilating meteorological and snow cover observations".Atmospheric Research (2021). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论