当前位置: X-MOL 学术Atmos. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Subseasonal dynamical prediction of South China Sea summer monsoon
Atmospheric Research ( IF 5.5 ) Pub Date : 2022-07-18 , DOI: 10.1016/j.atmosres.2022.106347
Yi Fan , Shoupeng Zhu , Lijuan Wang , Xin Wang

South China Sea (SCS) summer monsoon (SCSSM) is an important component of the Asian monsoon system, of which the onset and intensity exerting critical impacts on surrounding areas. With the Japan Meteorological Agency (JMA) model prediction derived from the S2S project, the prediction of SCSSM, specifically, the annual evolution, onset, and corresponding meteorological variables are investigated with lead times of 1–34 days. The prediction skill on the associated dynamical and thermal background such as wind, vertical motion, pseudo-equivalent potential temperature, and specific humidity decreases with the growing lead times. For the SCS surroundings, the upper- and lower-level circulations are reasonably predicted for lead times of shorter than 3 weeks. Predictions with fair skill on humidity and pseudo-equivalent potential temperature over land area around the northern SCS last for around 4 weeks, better than those over the southern SCS. Predictions on vertical motion and precipitation are reliable within 1 week, while the skill decreases rapidly after 2 weeks. In general, the predictions on the spatial patterns of circulation are relatively poor during the transition period before monsoon onset and are then improved after that. The model capability on predicting the date of monsoon onset decreases with the increasing lead times. Besides, skillful predictions on climate systems such as the tropical vortex pairs over Indian Ocean and the western North Pacific subtropical high are critical for the success predictions of monsoon onset.



中文翻译:

南海夏季风的次季节动力预报

南海(SCS)夏季风(SCSSM)是亚洲季风系统的重要组成部分,其发作和强度对周边地区具有重要影响。利用源自 S2S 项目的日本气象厅 (JMA) 模型预测,对 SCSSM 的预测,特别是年演变、发作和相应的气象变量进行了研究,前置时间为 1-34 天。对相关动力和热背景(如风、垂直运动、伪等效位温和比湿度)的预测技能随着提前期的增加而降低。对于 SCS 环境,可以合理地预测上层和下层环流的提前期小于 3 周。对南海北部陆地区域的湿度和伪等效潜在温度的预测持续时间约为 4 周,优于南海南部的预测。垂直运动和降水的预测在 1 周内可靠,而技能在 2 周后迅速下降。总体而言,在季风来临前的过渡期,环流空间格局的预测相对较差,之后会有所改善。模型预测季风发生日期的能力随着提前期的增加而降低。此外,对印度洋热带涡对和北太平洋西部副热带高压等气候系统的熟练预测对于季风爆发的成功预测至关重要。优于南海南部。垂直运动和降水的预测在 1 周内可靠,而技能在 2 周后迅速下降。总体而言,在季风来临前的过渡期,环流空间格局的预测相对较差,之后会有所改善。模型预测季风发生日期的能力随着提前期的增加而降低。此外,对印度洋热带涡对和北太平洋西部副热带高压等气候系统的熟练预测对于季风爆发的成功预测至关重要。优于南海南部。垂直运动和降水的预测在 1 周内可靠,而技能在 2 周后迅速下降。总体而言,在季风来临前的过渡期,环流空间格局的预测相对较差,之后会有所改善。模型预测季风发生日期的能力随着提前期的增加而降低。此外,对印度洋热带涡对和北太平洋西部副热带高压等气候系统的熟练预测对于季风爆发的成功预测至关重要。在季风爆发前的过渡时期,环流空间格局的预测相对较差,之后又有所改善。模型预测季风发生日期的能力随着提前期的增加而降低。此外,对印度洋热带涡对和北太平洋西部副热带高压等气候系统的熟练预测对于季风爆发的成功预测至关重要。在季风爆发前的过渡时期,环流空间格局的预测相对较差,之后又有所改善。模型预测季风发生日期的能力随着提前期的增加而降低。此外,对印度洋热带涡对和北太平洋西部副热带高压等气候系统的熟练预测对于季风爆发的成功预测至关重要。

更新日期:2022-07-19
down
wechat
bug