GSTDTAP  > 气候变化
DOI10.1029/2018JD028506
Toward the Improvement of Subseasonal Prediction in the National Centers for Environmental Prediction Global Ensemble Forecast System
Zhu, Yuejian1; Zhou, Xiaqiong2; Li, Wei2; Hou, Dingchen1; Melhauser, Christopher2; Sinsky, Eric2; Pena, Malaquias4; Fu, Bing2; Guan, Hong3; Kolczynski, Walter2; Wobus, Richard2; Tallapragada, Vijay1
2018-07-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:13页码:6732-6745
文章类型Article
语种英语
国家USA
英文摘要

In order to provide ensemble-based subseasonal (weeks 3 and 4) forecasts to support the operational mission of the Climate Prediction Center, National Centers for Environmental Prediction, experiments have been designed through the Subseasonal Experiment (SubX) project to investigate the predictability in both tropical and extratropical regions. The control experiment simply extends the current operational Global Ensemble Forecast System (GEFS; version 11) from 16 to 35days. In addition to the control, the parallel experiments will be mainly designed to focus on three areas: (1) improving model uncertainty representation for the tropics through stochastic physical perturbations; (2) considering the impact of the ocean by using a two-tiered sea surface temperature approach; and (3) testing a new scale-aware convection scheme to improve the model physics for tropical convection and Madden-Julian Oscillation (MJO) forecasts. All experiments are initialized every 5days at 0000 UTC during the period of May 2014-May 2016 (25months). In the tropics, MJO forecast skill has been improved from an average of 12.5days (control) to nearly 22days by combining all three modifications to GEFS. In the extratropics, the ensemble mean anomaly correlation of 500-hPa geopotential height improved over weeks 3 and 4. In addition, the Continuous Ranked Probability Score (of the Northern Hemisphere raw surface temperature (land only) is improved as well. A similar result is found in the Contiguous United States precipitation, although forecast skill is extremely low. Our results imply that calibration may be important and necessary for surface temperature and precipitation forecast for the subseasonal timescale due to the large systematic model errors.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000439799300004
WOS关键词MADDEN-JULIAN OSCILLATION ; NCEP ; PREDICTABILITY ; SKILL ; MJO ; IMPACT
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
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/32584
专题气候变化
作者单位1.NOAA, EMC, NCEP, NWS, College Pk, MD 20740 USA;
2.NOAA, IMSG, EMC, NCEP,NWS, College Pk, MD USA;
3.NOAA, SRG, EMC, NCEP,NWS, College Pk, MD USA;
4.Univ Connecticut, Dept Civil & Environm Engn, Storrs, CT USA
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GB/T 7714
Zhu, Yuejian,Zhou, Xiaqiong,Li, Wei,et al. Toward the Improvement of Subseasonal Prediction in the National Centers for Environmental Prediction Global Ensemble Forecast System[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(13):6732-6745.
APA Zhu, Yuejian.,Zhou, Xiaqiong.,Li, Wei.,Hou, Dingchen.,Melhauser, Christopher.,...&Tallapragada, Vijay.(2018).Toward the Improvement of Subseasonal Prediction in the National Centers for Environmental Prediction Global Ensemble Forecast System.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(13),6732-6745.
MLA Zhu, Yuejian,et al."Toward the Improvement of Subseasonal Prediction in the National Centers for Environmental Prediction Global Ensemble Forecast System".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.13(2018):6732-6745.
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