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Observation of Deep Convective Cloud-Top Height and Vertical Temperature Structure of Hurricane Using Hyperspectral Infrared Sounder and its Single-Field-View Retrieval Products Hurricanes, severe tropical cyclones (TC), or typhoons are significant natural disasters that often result in substantial loss of life and property damage. Numerous studies have indicated that changes in TC intensity are closely linked to deep convective clouds (DCC), with stronger TCs typically exhibiting higher cloud top heights (CTH) compared to weaker TCs. The CTH can help determine if a tropical depression is at the onset of rapid intensification based on case studies. Therefore, accurate determination of TC CTH will be greatly helpful for monitoring TC development and studying TC dynamics.
One traditional and most common method to derive CHT from satellite observations is using the thermal brightness temperature in atmospheric channels to match the sounding temperature profile. However, it was found that thermally derived CTH has a lower bias of approximately 1 km, and this bias tends to worsen for the tallest clouds.
A new method using the hyperspectral infrared sounder will be presented. From the measurements of Cross-track Infrared Sounder (CrIS) on S-NPP and J-1, along with radiative transfer simulations, we identified the inverted-V spectral feature in the ozone (O3) band (near 9.6 μm) corresponding to high clouds. The depth of the inverted-V can be used to estimate the CTH. Since the depth is computed using the peak absorption O3 channel and the nearby most transparent O3 channel in this O3 band, the uncertainties associated with cloud emissivity and scattering by cloud particles in the traditional method can be ignored.
From several hurricane case studies, we found that the CHT derived using this method can accurately capture the structure of the cloud tops in the eyewall, spiral rainbands, and surrounding regions. For example, Hurricane Dorian on September 2, 2019, showed a nicely outward-sloping and circular shape eye cloud in the early morning, but the circular shape of the eyewall cloud became distorted in the afternoon. For various hurricanes we examined, the distribution of CHT for the eyewall clouds differed significantly.
To better study the thermodynamic structure of hurricane clouds, this research will analyze the vertical temperature profiles from a new single Field of View (SFOV) Sounder Atmospheric Products (SiFSAP), derived using CrIS and the Advanced Technology Microwave Sounder (ATMS) onboard SNPP and JPSS-1. SiFSAP has a spatial resolution of 15 km at nadir, which surpasses most global weather and climate models and other current operational sounding products. The combined use of ATMS and CrIS allows for retrievals near hurricane eyewalls and spiral rainbands. Wind fields from NASA’s Modern-Era Retrospective Analysis for Research and Applications Version-2 (MERRA-2) and ERA5 will be used to characterize transport, and comparisons between the model temperature and water vapor profiles with the corresponding SiFSAP products will also be provided.
Document ID
20240013813
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Xiaozhen (Shawn) Xiong
(Langley Research Center Hampton, United States)
Xu Liu
(Langley Research Center Hampton, United States)
Wan Wu
(Langley Research Center Hampton, United States)
Liqiao Lei
(Adnet Systems (United States) Bethesda, Maryland, United States)
Qiguang Yang
(Adnet Systems (United States) Bethesda, Maryland, United States)
Daniel K Zhou
(Langley Research Center Hampton, United States)
Allen M Larar
(Langley Research Center Hampton, United States)
Date Acquired
October 31, 2024
Subject Category
Geophysics
Meeting Information
Meeting: Asia-Pacific Remote Sensing Conference
Location: Kaohsiung
Country: TW
Start Date: December 2, 2024
End Date: December 5, 2024
Sponsors: International Society for Optics and Photonics
Funding Number(s)
CONTRACT_GRANT: NNH20ZDA001N
CONTRACT_GRANT: NNH17ZDA001N-TASNPP
CONTRACT_GRANT: SCEX22022D
WBS: 437949.02.01.03.48
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Keywords
SiFSAP
cloud top height
Hurricane
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