新闻阅读

Predictability of Stratospheric Sudden Warmings in the Beijing Climate Center Forecast System with Statistical Error Corrections

作者:重点实验室  发布时间:2019/11/01 08:38:36  浏览量:

Article

Predictability of Stratospheric Sudden Warmings in the Beijing Climate Center Forecast System with Statistical Error Corrections

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Rao Jian,Ren Rongcai,Chen Haishan,Liu Xiangwen,Yu Yueyue,Hu Jinggao,Zhou Yang

Abstract

Previous studies have reported that the predictive limit of stratospheric sudden warming (SSW) events in the Beijing Climate Center forecast system (BCC_CSM) is shorter than 2 weeks. This study continues to analyze the general characteristics of this model in forecasting SSWs and carries out a trial of error corrections. The ratio of the ensemble members that forecast the zonal wind reversal with a 5-day delay allowed (hit ratio) is higher for SSW events with a small decrease in the zonal mean zonal winds (moderate SSWs) than for events with a large decrease in the zonal mean zonal winds (radical SSWs) in hindcasts initialized around 1 (D-7) and 2 (D-14) weeks in advance. The underestimated cumulative eddy heat flux associated with weak wave activities accounts for the weaker-than-observed deceleration of westerlies. The preexisting extratropical wave patterns are satisfactorily forecast in D-14 for most (9/12) cases, and the wave phase bias is reasonably small for those cases. After the climatology bias is deducted from the hindcasts, an increase in the hit ratio can be identified for moderate SSW events as the evolutions of zonal winds are improved. Following the error correction by remapping the zonal wind probability distribution function in the forecast system to the reanalysis, the SSW hit ratios increase in the D-7 (43% to 57%) and/or D-14 (11% to 21%) initializations. Based on the composite result, this error correction method robustly improves the hit ratio not only for both radical SSWs and moderate SSWs but also for both polar vortex split SSWs and polar vortex displacement SSWs. The best error correction method might propel the prediction limit of SSW events to around 2 weeks.

DOI: 10.1029/2019JD030900

上一条:Estimation of Corn Canopy Chlorophyll Content Using Derivative Spectra in the O-2-A Absorption Band

下一条:Revisiting Recent Elevation-Dependent Warming on the Tibetan Plateau Using Satellite-Based Data Sets

关闭

© 2019  气象灾害教育部重点实验室   版权所有 NUIST备80040
地址:江苏省南京市宁六路219号 气象灾害教育部重点实验室 邮编:210044