干旱区生态环境知识资源中心(Arid): Performance Assessment of Monthly Ensemble Prediction Data Based on Improvement of Climate Prediction System at KMA

Arid

DOI	10.14191/Atmos.2019.29.2.149
	Performance Assessment of Monthly Ensemble Prediction Data Based on Improvement of Climate Prediction System at KMA
	Ham, Hyunjun; Lee, Sang-Min; Hyun, Yu-Kyug; Kim, Yoonjae
通讯作者	Ham, H
来源期刊	ATMOSPHERE-KOREA
ISSN	1598-3560
EISSN	2288-3266
出版年	2019
卷号	29 期号:2 页码:149-164
英文摘要	The purpose of this study is to introduce the improvement of current operational climate prediction system of KMA and to compare previous and improved that. Whereas the previous system is based on GloSea5GA3, the improved one is built on GloSea5GC2. GloSea5GC2 is a fully coupled global climate model with an atmosphere, ocean, sea-ice and land components through the coupler OASIS. This is comprised of component configurations Global Atmosphere 6.0 (GA6.0), Global Land 6.0 (GL6.0), Global Ocean 5.0 (GO5.0) and Global Sea Ice 6.0 (GSI6.0). The compositions have improved sea-ice parameters over the previous model. The model resolution is N216L85 (similar to 60 km in mid-latitudes) in the atmosphere and ORCA0.25L75 (0.25 degrees on a tri-polar grid) in the ocean. In this research, the predictability of each system is evaluated using by RMSE, Correlation and MSSS, and the variables are 500 hPa geopotential height (h500), 850 hPa temperature (t850) and Sea surface temperature (SST). A predictive performance shows that GloSea5GC2 is better than GloSea5GA3. For example, the RMSE of h500 of 1-month forecast is decreased from 23.89 gpm to 22.21 gpm in East Asia. For Nino3.4 area of SST, the improvements to GloSeaGC2 result in a decrease in RMSE, which become apparent over time. It can be concluded that GloSea5GC2 has a great performance for seasonal prediction.
英文关键词	GloSea5 seasonal prediction monthly ensemble
类型	Article
语种	其他
收录类别	ESCI
WOS记录号	WOS:000490422400003
WOS关键词	MODEL ; CONFIGURATION ; SKILL
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333858
作者单位	[Ham, Hyunjun; Lee, Sang-Min; Hyun, Yu-Kyug; Kim, Yoonjae] Natl Inst Meteorol Sci, Global Environm Syst Res Div, Jeju, South Korea
推荐引用方式 GB/T 7714	Ham, Hyunjun,Lee, Sang-Min,Hyun, Yu-Kyug,et al. Performance Assessment of Monthly Ensemble Prediction Data Based on Improvement of Climate Prediction System at KMA[J],2019,29(2):149-164.
APA	Ham, Hyunjun,Lee, Sang-Min,Hyun, Yu-Kyug,&Kim, Yoonjae.(2019).Performance Assessment of Monthly Ensemble Prediction Data Based on Improvement of Climate Prediction System at KMA.ATMOSPHERE-KOREA,29(2),149-164.
MLA	Ham, Hyunjun,et al."Performance Assessment of Monthly Ensemble Prediction Data Based on Improvement of Climate Prediction System at KMA".ATMOSPHERE-KOREA 29.2(2019):149-164.