当前位置: X-MOL 学术Math. Comput. Simul. Dyn. Atmos. Ocean. › 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.)
Diurnal Sea Surface Temperature Response to Tropical Cyclone Dahlia in the Eastern Tropical Indian Ocean in 2017 revealed by the Bailong Buoy
Dynamics of Atmospheres and Oceans ( IF 1.7 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.dynatmoce.2020.101163
Yang Yang , Lin Liu , Kuiping Li , Weidong Yu , Haiyuan Wang

Abstract Tropical Cyclone (TC) Dahlia occurred adjacent to over the equatorial southeastern Indian Ocean during the period 26 November – 3 December 2017 and was observed by the Bailong buoy, which provides in situ observations of high-frequency variations in the upper ocean environment. The diurnal sea surface temperature (dSST) variabilities during different stages of the passage of TC Dahlia are studied. The dSST variability is rather weak during the TC passing stage in contrast to the strong ranges before (0.35 °C) and after (0.57 °C) the TC. Before the influence of TC Dahlia, the dSST presented significant regular variability with a peak in the afternoon and minimum value in the morning, which is similar to the even larger range that occurred after TC Dahlia. During the passage of TC Dahlia, dSST decreased dramatically, and a uniform variation was presented due to the absence of strong heat fluxes and stirring and upwelling induced by strong winds. Further analysis through a one-dimensional mixed layer model (Price-Weller-Pinkel, PWP) indicated that the dominant elements responsible for the different dSST variations during distinct stages of TC Dahlia were shortwave radiation and surface wind, which strongly impacted the dSST evolution during TC Dahlia. The asymmetrical wind strength was responsible for the asymmetry of dSST variation.

中文翻译:

白龙浮标揭示的2017年东热带印度洋热带气旋大丽花的昼夜海温响应

摘要 热带气旋 (TC) 大丽花于 2017 年 11 月 26 日至 12 月 3 日期间发生在赤道东南印度洋上空附近,并由白龙浮标观测到,提供了上层海洋环境高频变化的原位观测。研究了TC大丽花通过不同阶段的昼夜海面温度(dSST)变化。与 TC 之前 (0.35 °C) 和之后 (0.57 °C) 的强范围相比,TC 通过阶段的 dSST 变异性相当弱。台风大丽花影响前,dSST呈现出明显的规律性变化,下午出现峰值,上午出现最小值,与台风大丽花之后出现的更大范围相似。在 TC 大丽花通过期间,dSST 急剧下降,由于没有强烈的热通量和强风引起的搅拌和上升流,呈现出均匀的变化。通过一维混合层模型 (Price-Weller-Pinkel, PWP) 进一步分析表明,导致 TC Dahlia 不同阶段不同 dSST 变化的主要因素是短波辐射和地表风,这对 dSST 演变产生了强烈影响。 TC大丽花。不对称的风强是造成 dSST 变化不对称的原因。PWP) 表明,导致大丽花不同阶段 dSST 变化的主要因素是短波辐射和地表风,它们强烈影响了 TC 大丽花期间的 dSST 演变。不对称的风强是造成 dSST 变化不对称的原因。PWP) 表明,导致大丽花不同阶段 dSST 变化的主要因素是短波辐射和地表风,它们强烈影响了 TC 大丽花期间的 dSST 演变。不对称的风强是造成 dSST 变化不对称的原因。
更新日期:2020-12-01
down
wechat
bug