气候变化领域集成服务门户(CCPortal): Development and Evaluation of an Ensemble-Based Data Assimilation System for Regional Reanalysis Over the Tibetan Plateau and Surrounding Regions

CCPortal

DOI	10.1029/2019MS001665
	Development and Evaluation of an Ensemble-Based Data Assimilation System for Regional Reanalysis Over the Tibetan Plateau and Surrounding Regions
	He J.; Zhang F.; Chen X.; Bao X.; Chen D.; Kim H.M.; Lai H.-W.; Leung L.R.; Ma X.; Meng Z.; Ou T.; Xiao Z.; Yang E.-G.; Yang K.
发表日期	2019
ISSN	19422466
起始页码	2503
结束页码	2522
卷号	11 期号:8
英文摘要	The Tibetan Plateau is regarded as the Earth's Third Pole, which is the source region of several major rivers that impact more 20% the world population. This high-altitude region is reported to have been undergoing much greater rate of weather changes under global warming, but the existing reanalysis products are inadequate for depicting the state of the atmosphere, particularly with regard to the amount of precipitation and its diurnal cycle. An ensemble Kalman filter (EnKF) data assimilation system based on the limited-area Weather Research and Forecasting (WRF) model was evaluated for use in developing a regional reanalysis over the Tibetan Plateau and the surrounding regions. A 3-month prototype reanalysis over the summer months (June−August) of 2015 using WRF-EnKF at a 30-km grid spacing to assimilate nonradiance observations from the Global Telecommunications System was developed and evaluated against independent sounding and satellite observations in comparison to the ERA-Interim and fifth European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5) global reanalysis. Results showed that both the posterior analysis and the subsequent 6- to 12-hr WRF forecasts of the prototype regional reanalysis compared favorably with independent sounding observations, satellite-based precipitation versus those from ERA-Interim and ERA5 during the same period. In particular, the prototype regional reanalysis had clear advantages over the global reanalyses of ERA-Interim and ERA5 in the analysis accuracy of atmospheric humidity, as well as in the subsequent downscale-simulated precipitation intensity, spatial distribution, diurnal evolution, and extreme occurrence. ©2019. The Authors.
英文关键词	diurnal cycle; ensemble Kalman filter; reanalysis; regional climate; Tibetan Plateau
语种	英语
scopus关键词	Atmospheric humidity; Global warming; Kalman filters; Diurnal cycle; Ensemble Kalman Filter; Reanalysis; Regional climate; Tibetan Plateau; Weather forecasting; climate change; climate modeling; data assimilation; diurnal variation; ensemble forecasting; Kalman filter; regional climate; satellite altimetry; weather forecasting; China; Qinghai-Xizang Plateau
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156886
作者单位	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster, Nanjing University of Information Science and Technology, Nanjing, China; Department of Meteorology and Atmospheric Science, and Center for Advanced Data Assimilation and Predictability Techniques, Pennsylvania State University, University Park, PA, United States; State Key Laboratory of Severe Weather, Chinese Academy of the Meteorological Sciences, Beijing, China; Department of Earth Sciences, University of Gothenburg Gothenburg, Sweden; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China; Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea; Pacific Northwest National Laboratory, Richland, WA, United States; Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China; State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dyna...
推荐引用方式 GB/T 7714	He J.,Zhang F.,Chen X.,et al. Development and Evaluation of an Ensemble-Based Data Assimilation System for Regional Reanalysis Over the Tibetan Plateau and Surrounding Regions[J],2019,11(8).
APA	He J..,Zhang F..,Chen X..,Bao X..,Chen D..,...&Yang K..(2019).Development and Evaluation of an Ensemble-Based Data Assimilation System for Regional Reanalysis Over the Tibetan Plateau and Surrounding Regions.Journal of Advances in Modeling Earth Systems,11(8).
MLA	He J.,et al."Development and Evaluation of an Ensemble-Based Data Assimilation System for Regional Reanalysis Over the Tibetan Plateau and Surrounding Regions".Journal of Advances in Modeling Earth Systems 11.8(2019).