Di Tian

Dr. Di Tian

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 October 2019 in Remote Sensing
Verified
Journal Article
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Han ZhangHan Zhang
Han Zhang
XLXiaohui Liu
Xiaohui Liu
RWRenhao Wu
Renhao Wu
FLFu Liu
Fu Liu
YLYu Linghui
Yu Linghui
Wenyan ZhangWenyan Zhang
Wenyan Zhang
Tropical cyclones (TCs) are natural disasters for coastal regions. TCs with maximum wind speeds higher than 32.7 m/s in the north-western Pacific are referred to as typhoons. Typhoons Sarika and Haima successively passed our moored observation array in the northern South China Sea in 2016. Based on the satellite data, the winds (clouds and rainfall) biased to the right (left) sides of the typhoon tracks. Sarika and Haima cooled the sea surface ~4 and ~2 °C and increased the salinity ~1.2 and ~0.6 psu, respectively. The maximum sea surface cooling occurred nearly one day after the two typhoons. Station 2 (S2) was on left side of Sarika’s track and right side of Haima’s track, which is studied because its data was complete. Strong near-inertial currents from the ocean surface toward the bottom were generated at S2, with a maximum mixed-layer speed of ~80 cm/s. The current spectrum also shows weak signal at twice the inertial frequency (2f). Sarika deepened the mixed layer, cooled the sea surface, but warmed the subsurface by ~1 °C. Haima subsequently pushed the subsurface warming anomaly into deeper ocean, causing a temperature increase of ~1.8 °C therein. Sarika and Haima successively increased the heat content anomaly upper than 160 m at S2 to ~50 and ~100 m°C, respectively. Model simulation of the two typhoons shows that mixing and horizontal advection caused surface ocean cooling, mixing and downwelling caused subsurface warming, while downwelling warmed the deeper ocean. It indicates that Sarika and Haima sequentially modulated warm water into deeper ocean and influenced internal ocean heat budget. Upper ocean salinity response was similar to temperature, except that rainfall refreshed sea surface and caused a successive salinity decrease of ~0.03 and ~0.1 psu during the two typhoons, changing the positive subsurface salinity anomaly to negative

24 February 2020 in Water
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Journal Article
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FLFu Liu
Fu Liu
Han ZhangHan Zhang
Han Zhang
JMJie Ming
Jie Ming
JZJiayu Zheng
Jiayu Zheng
DTDi Tian
Di Tian
DCDake Chen
Dake Chen
Using multiple-satellite datasets, in situ observations, and numerical simulations, the influence of typhoon-induced precipitation on the oceanic response to Typhoon Kalmaegi has been discussed. It is found that the convective system and precipitation distribution of Kalmaegi was asymmetric, which leaded to the asymmetric rainfall at observational stations. The sea surface salinity (SSS) of the buoy to the right of storm track increased with a 0.176 practical salinity units (psu) maximal positive anomaly, while the two buoys on the left side underwent several desalination processes, with a maximum decreases of 0.145 psu and 0.278 psu. Numerical simulations with and without precipitation forcing were also performed. Model results showed that typhoon-induced precipitation can weaken sea surface cooling by approximately 0.03–0.40 °C and suppress the SSS increase by approximately 0.074–0.152 psu. The effect of precipitation can be divided into the direct effect and indirect effect. On one hand, freshwater from precipitation directly dilutes the salinity. On the other hand, when salinity decreases, the ocean stratification will be enhanced, the vertical mixing will be restrained, and then the temperature and salinity can be further affected by weakened vertical mixing.

18 February 2022 in Journal of Geophysical Research: Biogeosciences
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Journal Article
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QMQicheng Meng
Qicheng Meng
Wenyan ZhangWenyan Zhang
Wenyan Zhang
Feng ZhouFeng Zhou
Feng Zhou
YLYibo Liao
Yibo Liao
PYPeisong Yu
Peisong Yu
CSCorinna Schrum
Corinna Schrum
Sediment oxygen consumption (SOC) is important in modulating the oxygen budget in the East China Sea where seasonal hypoxia occurs. Porewater advection, molecular diffusion and bioturbation supply oxygen for sedimentary organic matter degradation. A pelagic‐benthic coupled model was applied to quantify the SOC. A comparison with observations showed good model performance in reproducing the hydrographic and ecological environments, particularly for the interannual variation in the hypoxic zone. Simulation results show that porewater‐advection‐induced flux is the predominant component of the SOC in sandy areas on the Changjiang bank and outer shelves, while the bioturbation‐induced flux is predominant at mud depocenters. By comparing SOC to the water oxygen consumption (WOC) below the pycnocline, the contribution of SOC is generally below ∼40% in the hypoxic zone. The spatial distribution of SOC in summer is relatively steady from year to year, while the high WOC patches explain more about the interannual variation in the hypoxic zone. WOC rather than SOC drives the variation of hypoxia. Particularly on the Changjiang bank, milder hydrodynamics are favorable for both the higher WOC and bioturbation‐induced benthic oxygen flux but substantially suppress the porewater advective flux, which results in the net lower contribution of SOC to hypoxia. This finding may shed light on other pelagic‐benthic coupling processes in coastal shelf seas where hypoxia occurs on permeable sediments.

13 January 2020 in Atmosphere
Verified
Journal Article
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DZDongna Zhang
Dongna Zhang
Han ZhangHan Zhang
Han Zhang
JZJiayu Zheng
Jiayu Zheng
XCXuhua Cheng
Xuhua Cheng
DTDi Tian
Di Tian
DCDake Chen
Dake Chen
The trend of tropical-cyclone (TC) translation speed is a hot topic recently. Changes in TC translation speed during 1949–2017 over the western North Pacific are analyzed using two best-track datasets here. The TC translation speed decreased during 1949–2017, but there was no significant trend after 1981. The TC translation speed also changes with latitude and intensity. In the tropical ocean, TC translation speed decreased by 5.9% during 69-year recording period. North of 23.5° N, the changes in translation speed is highly consistent with the latitude of TC occurrence. The translation speed of tropical depressions showed no significant trend during the period 1949–2017, but the translation speed of typhoons decreased over the 69-year recording period. The period 1949–1981 contributed most of the slowdown trend. There also was an increase in the frequency of typhoons with translation speed slower than 6 m/s. The decrease of translation speed of typhoons before 1981 was likely caused by the weakening of the summertime tropical circulation.

1 November 2017 in Science Bulletin
Verified
Journal Article
Closed access
DTDi Tian
Di Tian
WDWenjie Dong
Wenjie Dong
HZHan Zhang
Han Zhang
YGYan Guo
Yan Guo
SYShili Yang
Shili Yang
TDTanlong Dai
Tanlong Dai

17 November 2022 in Journal of Geophysical Research: Oceans
Verified
Journal Article
Closed access
Han ZhangHan Zhang
Han Zhang
XXXiaohui Xie
Xiaohui Xie
CYChenghao Yang
Chenghao Yang
YQYongfeng Qi
Yongfeng Qi
DTDi Tian
Di Tian
DCDake Chen
Dake Chen