Interaction of Cloud Dynamics and Microphysics During the Rapid Intensification of Super‐Typhoon Nanmadol (2022) Based on Multi‐Satellite Observations

Wu, Zuhang; Zhang, Yun; Zhang, Lifeng; Zheng, Hepeng

doi:10.1029/2023gl104541

Cited by 42 publications

(4 citation statements)

References 43 publications

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“…TC 30-60kt cases exhibit a significant positive correlation between CWPs in the inner-core and outer-core regions, while TC 60-90kt show a significant negative correlation, especially when the evolution of the hydrometeor in the outer-core region led to 3 h. This might be the different models of hydrometeor content increase in the inner-core region for the weak and strong TCs associated with those in the outer-core region. In a recent study on the super-Typhoon Nanmadol (2022), it is found that there is a small amount of large particle region approximately 300 km from the eye in the post-period of RI (Wu et al, 2023). This implies that the outer-core region of strong TCs is a particular area of hydrometeor evolution during the RI.…”

Section: Resultsmentioning

confidence: 99%

Effect of Tropical Cyclone Intensity on the Relationship between Hydrometeor Distribution and Rapid Intensification by GPM GMI

Leng,

Liu,

Zhu

et al. 2024

Preprint

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This study analyzes hydrometeor evolution during rapid intensification (RI) and tropical cyclone (TC) intensity dependence using satellite data. Previous studies have suggested that ice cloud water or non-convective precipitation can serve as predictors of RI from different perspectives. However, few studies have focused on the impact of TC intensity or comprehensive comparisons to identify better indicators. During RI, the hydrometeor contents in weak TCs (WTCs) increase over the entire region, whereas they increase mainly in the inner-core region and decrease in advance in the outer-core region for strong TCs (STCs). Hydrometeor contents are higher in RI than in slow intensification, and their maximum locations are related to TC intensity and intensification rate. Cloud water content (CWC) in the inner-core region has the largest correlation with the intensification rate, especially in WTCs. Therefore, the CWC can serve as a predictor of RI and can be applied to all TC intensities.

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Section: Resultsmentioning

confidence: 99%

Effect of Tropical Cyclone Intensity on the Relationship between Hydrometeor Distribution and Rapid Intensification by GPM GMI

Leng,

Liu,

Zhu

et al. 2024

Preprint

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“…On 18 September (UTC), as shown in Figure 3d, Nanmadol developed two eye structures and began the process of eye-wall replacement prior to landfall. This phenomenon, where a strong typhoon replaces a smaller eye with a larger one, is part of its structural adjustment and represents a vulnerable phase during which the typhoon's intensity typically weakens [49]. Landfall occurred during the critical period of Nanmadol's eye-wall replacement, which was unsuccessful, leading to the typhoon striking Japan in this vulnerable state.…”

Section: Wave Simulation Resultsmentioning

confidence: 99%

Influence of Radiation Stress on Upper-Layer Ocean Temperature under Geostrophic Condition

Cao,

Shi,

Chen

et al. 2024

Remote Sensing

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Wave-induced radiation stress (RS), as a primary driver of ocean currents influenced by waves, plays an important role in the response of upper ocean temperatures under typhoons. Previous studies have mainly focused on wave-generated currents and coastal currents in nearshore areas. This paper incorporates the geostrophic effect into the wave-induced radiation stress of wave-current interaction, and the effect of waves on the changes in upper ocean temperature (including sea surface temperature (SST) and mixed layer temperature) under typhoon Nanmadol (2022) is studied. The FVCOM-SWAVE model is used to conduct a preliminary numerical study in the western Pacific Ocean. The RS with the geostrophic effect increased the horizontal and vertical components, leading to an enhancement in turbulent mixing and a decrease in SST by up to 1.0 °C to 1.4 °C, which is closer to the SST obtained by OISST remote sensing fusion observation data. In the strong divergence domain, the direction of the vortex flow exhibits a more pronounced turn to the right, accompanied by an increase in water velocity. The vertical temperature profile of the ocean shows that the water below is perturbed by the RS component of the geostrophic effect, and the depth of the mixed layer increases by about 2 m, which is closer to the depth of the mixed layer observed by the Argo floats, indirectly enhancing the vertical mass transport of the ocean. In general, this shows that RS, which takes into account geostrophic effects, enhances the effect of waves on the water below, indirectly leading to lower temperatures in the upper ocean, and the simulated results align more closely with the observed data, offering valuable insights for enhancing marine numerical forecasting accuracy.

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“…They then investigated the impact of the satellite retrievals on assimilation and forecasts for Typhoon Chaba and Ma-on in 2022. Wu et al [49] revealed the cloud dynamic and microphysical characteristics during the rapid intensification (RI) of Super Typhoon Nanmadol in 2022 by using multi-satellite observations; among them, the high-resolution FY-4B satellite observed the structure of the typhoon eye clearly, allowing the structural characteristics of the typhoon eye wall to be identified.…”

Section: Introductionmentioning

confidence: 99%

Revisiting the Characteristics of Super Typhoon Saola (2023) Using GPM, Himawari-9 and FY-4B Satellite Data

Wang,

Xia,

Chen

et al. 2024

Atmosphere

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Typhoon Saola was the ninth typhoon that generated over the Western North Pacific (WNP) in 2023, and it caused severe storm impacts. However, its complex moving track and heavy intensity made it extremely difficult to forecast; therefore, detailed analysis is necessary. In this study, GPM, Himawari-9, and FY-4B satellite data were used to analyze the characteristics of the structure, brightness temperature, and precipitation of the typhoon cloud system. Our results showed that, in the 89 and 183 GHz channels of GPM-1CGMI, the brightness temperature of the typhoon eye was 80–90 K higher than that of the eye wall, and the strong convective areas below 200 K were clearer in these high-frequency channels. GPM-2ADPR estimated heavy rain (over 30 mm/h) area, storm height (5 km), and vertical precipitation rate (30–40 mm/h) more accurately than the GPM-2Aka and GPM-2Aku products. Himawari-9 satellite data showed that the brightness temperature of the eye wall and spiral cloud bands was 180–200 K, the typhoon eye was small and round, and strong convective activities were mostly located in the southwest side of the center. The FY-4B CLP and CLT products showed that, in the mature period of the typhoon, the percentage of supercooled and mixed clouds first stabilized and then rapidly decreased. The trends observed among the three types of ice-phase clouds were characterized by an initial increase, followed by a decrease, and then another increase, with percentages between 10% and 25%, 5% and 15%, and 15% and 30%, respectively.

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Interaction of Cloud Dynamics and Microphysics During the Rapid Intensification of Super‐Typhoon Nanmadol (2022) Based on Multi‐Satellite Observations

Cited by 42 publications

References 43 publications

Effect of Tropical Cyclone Intensity on the Relationship between Hydrometeor Distribution and Rapid Intensification by GPM GMI

Effect of Tropical Cyclone Intensity on the Relationship between Hydrometeor Distribution and Rapid Intensification by GPM GMI

Influence of Radiation Stress on Upper-Layer Ocean Temperature under Geostrophic Condition

Revisiting the Characteristics of Super Typhoon Saola (2023) Using GPM, Himawari-9 and FY-4B Satellite Data

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