Optical Properties and Spatial Variation of Tropical Cyclone Cloud Systems From TRMM and MODIS in the East Asia Region: 2010–2014

Zhou, Yiwen; Han, Yong; Wu, Yonghua; Wang, Tijian; Tang, Xiaodong; Wang, Yuan

doi:10.1029/2018jd028357

Cited by 7 publications

(3 citation statements)

References 75 publications

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“…Cloud properties are affected by multiple elements, such as thermodynamics, microphysics and aerosols. As one of the impact factors, the atmospheric aerosol is shown to play an important role in suppressing or invigorating the development of convective cloud 33 , thus affecting the occurrence of lightning 34,35 . Hypotheses have been proposed for decades about the role of aerosols as activated cloud condensation nuclei on delaying the warm rain process, enhancing the mixed-phase process and invigorating deep convective cloud vertical development 36 .…”

Section: Applicability Of Regions With Different Cloud Properties In Asiamentioning

confidence: 99%

Cloud ice fraction governs lightning rate at a global scale

Han

Luo

et al. 2021

Commun Earth Environ

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Lightning flash rate is strongly influenced by cloud microphysics, such as cloud ice properties, but this relationship is poorly constrained. Here we analyze 20 years of satellite-derived lightning flash rate data and cloud water data from the ERA-Interim reanalysis above continental and ocean regions at a global scale. We find a robust modified gamma function relationship between cloud ice fraction and lightning rate. Lightning rate increases initially with increasing cloud ice fraction in stratocumulus, liquid clouds. Maximum flash rates are reached at a critical cloud ice fraction value that is associated with high top, large optical thickness, deep convective clouds. Beyond the critical value, lightning rate decreases as the ice fraction increases to values representative of cirrus, ice clouds. We find consistent critical ice fraction values over continental and oceanic regions, respectively, with a lower value over the continent due to greater cloud thickness at similar cloud top height. We suggest that our findings may help improve the accuracy of lightning forecast and hazard prediction.

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Section: Applicability Of Regions With Different Cloud Properties In Asiamentioning

confidence: 99%

Cloud ice fraction governs lightning rate at a global scale

Han

Luo

et al. 2021

Commun Earth Environ

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“…Occurrence consistency of precipitation by location and season ranked as: MLRB (wet) > ULRB (wet) > ULRB (dry) > MLRB (dry), which we believed that aerosol was the most important influencing factor. Previous studies have shown that the effect of aerosol on precipitation can be traced back to the formation, development, and decay of clouds [56][57][58][59], and its concentration had great temporal-spatial variability and seasonal heterogeneity [56], which was one of the main factors affecting climate change and atmospheric air quality. The inhibitory effect of aerosols on mild precipitation has also been reported in different parts of the world [60].…”

Section: Factors Affecting the Occurrence Consistency Of Precipitatio...mentioning

confidence: 99%

Assessment of GPM IMERG Satellite Precipitation Estimation under Complex Climatic and Topographic Conditions

Ye²,

Fang

et al. 2021

Atmosphere

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Satellite precipitation estimation provides crucial information for those places lacking rainfall observations from ground–based sensors, especially in terrestrial or marine areas with complex climatic or topographic conditions. This is the case over much of Western China, including Upper and Middle Lancang River Basin (UMLRB), an extremely important transnational river system in Asia (the Lancang–Mekong River Basin) with complex climate and topography that has limited long–term precipitation records and high–elevation data, and no operational weather radars. In this study, we evaluated three GPM IMERG satellite precipitation estimation (IMERG E, IMERG L and IMERG F) over UMLRB in terms of multi–year average precipitation distribution, amplitude consistency, occurrence consistency, and elevation–dependence in both dry and wet seasons. Results demonstrated that monsoon and solid precipitation mainly affected amplitude consistency of precipitation, aerosol affected occurrence consistency of precipitation, and topography and wind–induced errors affected elevation dependence. The amplitude and occurrence consistency of precipitation were best in wet seasons in the Climate Transition Zone and worst in dry seasons in the same zone. Regardless of the elevation–dependence of amplitude or occurrence in dry and wet seasons, the dry season in the Alpine Canyon Area was most positively dependent and most significant. More significant elevation–dependence was correlated with worse IMERG performance. The Local Weighted Regression (LOWERG) model showed a nonlinear relationship between precipitation and elevation in both seasons. The amplitude consistency and occurrence consistency of both seasons worsened with increasing precipitation intensity and was worst for extreme precipitation cases. IMERG F had great potential for application to hydroclimatic research and water resources assessment in the study area. Further research should assess how the dependence of IMERG’s spatial performance on climate and topography could guide improvements in global precipitation assessment algorithms and the study of mountain landslides, floods, and other natural disasters during the monsoon period.

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“…One of the essential difficulties of direct satellite data assimilation in cloud and precipitation regions stems from the complicated nature of the cloud microphysics in deep convective regions and the relatively inaccurate radiative transfer simulations. For example, a tropical cyclone (TC) cloud system (TCCS) possesses complicated microphysical characteristics related to the vertical distribution of hydrometeors at different stages of TC development (Houze, 2010; Zhou et al, 2018); these characteristics pose significant challenges for reliable radiative transfer simulations. First of all, the frozen hydrometeors including cloud ice, snow, and graupels inside a typical TCCS can have various nonspherical morphologies, which should be taken into account in computing their single‐scattering properties (Bi & Yang, 2017; Eriksson et al, 2018; Yang et al, 2013; Yi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Vertical Inhomogeneity Effect of Frozen Hydrometeor Habits in All‐Sky Passive Microwave Simulations

Xie

Han

et al. 2020

JGR Atmospheres

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In this study, we attempted to address the frozen hydrometeor habit vertical inhomogeneity (FHHVI) effects on microwave radiative transfer simulations. For simplification, we focused on a "two habits and two layers" FHHVI scheme in which two different ice habits can be assumed to be above and below a fixed habit boundary line of 325 hPa as suggested by studies of tropical cyclone vertical structure. The aforementioned FHHVI scheme was implemented into a radiative transfer for the Television Infrared Observation Satellite (TIROS) operational vertical sounder (RTTOV), which allows for close examination of the FHHVI effect on the radiative transfer process. Four scenarios (thin plate, dendrite, thin plate over dendrite, and dendrite over thin plate) were considered in the simulations at frequencies ranging from 10 to 183 GHz. We found that FHHVI has an obvious impact on the brightness temperature (BT) simulations. For real case studies, we considered the 2018 tropical cyclone Jebi in the Western Pacific basin. The hydrometeor profiles forecasted by the Global/Regional Assimilation and Prediction System (GRAPES) regional numerical weather prediction (NWP) model were used, and the simulated results were compared with observations from the instruments aboard on the Fengyun-3D satellite, which recorded 61 overpasses during the life span of typhoon Jebi. We found that the overall performance of the BT simulations over multichannels could be improved by considering FHHVI effects. Specifically, the total penalty values that quantify the spectral consistency were 63.05 (dendrite), 43.88 (thin plate), 46.23 (dendrite over thin plate), and 39.03 (thin plate over dendrite), respectively.

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Optical Properties and Spatial Variation of Tropical Cyclone Cloud Systems From TRMM and MODIS in the East Asia Region: 2010–2014

Cited by 7 publications

References 75 publications

Cloud ice fraction governs lightning rate at a global scale

Cloud ice fraction governs lightning rate at a global scale

Assessment of GPM IMERG Satellite Precipitation Estimation under Complex Climatic and Topographic Conditions

Vertical Inhomogeneity Effect of Frozen Hydrometeor Habits in All‐Sky Passive Microwave Simulations

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