A Virtual Cloud Physics Laboratory
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Morrison, Hugh↗
Engineering topics
Chen, Sisi
Publications and source records attributed to Chen, Sisi.
Glaciation of mixed-phase clouds: insights from bulk model and bin-microphysics large-eddy simulation informed by laboratory experiment
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54 ENVIRONMENTAL SCIENCES↗
Parameterization and Explicit Modeling of Cloud Microphysics: Approaches, Challenges, and Future Directions
Cloud microphysical processes occur at the smallest end of scales among cloud-related processes and thus must be parameterized not only in large-scale global circulation models (GCMs) but also in various higher-resolution limited-area models such as cloud-resolving models (CRMs) and large-eddy simulation (LES) models. Instead of giving a comprehensive review of existing microphysical parameterizations that have been developed over the years, this study concentrates purposely on several topics that we believe are understudied but hold great potential for further advancing bulk microphysics parameterizations: multi-moment bulk microphysics parameterizations and the role of the spectral shape of hydrometeor size distributions; discrete vs “continuous” representation of hydrometeor types; turbulence-microphysics interactions including turbulent entrainment-mixing processes and stochastic condensation; theoretical foundations for the mathematical expressions used to describe hydrometeor size distributions and hydrometeor morphology; and approaches for developing bulk microphysics parameterizations. Also presented are the spectral bin scheme and particle-based scheme (especially, super-droplet method) for representing explicit microphysics. Their advantages and disadvantages are elucidated for constructing cloud models with detailed microphysics that are essential to developing processes understanding and bulk microphysics parameterizations. Particle-resolved direct numerical simulation (DNS) models are described as an emerging technique to investigate turbulence-microphysics interactions at the most fundamental level by tracking individual particles and resolving the smallest turbulent eddies in turbulent clouds. Outstanding challenges and future research directions are explored as well.
54 ENVIRONMENTAL SCIENCES↗
Anatomy of a Summertime Convective Event over the Arabian Region
This study investigates the structure and evolution of a summertime convective event that occurred on 14 July 2015 over the Arabian region. We use the WRF Model with 1-km horizontal grid spacing and test three PBL parameterizations: the Mellor–Yamada–Nakanishi–Niino (MYNN) scheme; the Asymmetrical Convective Model, version 2, (ACM2) scheme; and the quasi-normal scale-elimination (QNSE) scheme. Convection initiates near the Al Hajar Mountains of northern Oman at around 1100 local time (LT; 0700 UTC) and propagates northwestward. A nonorographic convective band along the west coast of the United Arab Emirates (UAE) develops after 1500 LT as a result of the convergence of cold pools with the sea breeze from the Arabian Gulf. The model simulation employing the QNSE scheme simulates the convection initiation and propagation well. Although the MYNN and ACM2 simulations show convective initiation near the Al Hajar Mountains, they fail to simulate the development of the convective band along the UAE west coast. The MYNN run simulates colder near-surface temperatures and a weaker sea breeze, whereas the ACM2 run simulates a stronger sea breeze but a drier lower troposphere. Sensitivity simulations using horizontal grid spacings of 9 and 3 km show that lower-resolution runs develop broader convective structures and weaker cold pools and horizontal wind divergence, affecting the development of convection along the west coast of the UAE. The 1-km run using the QNSE PBL scheme realistically captures the sequence of events that leads to the moist convection over the UAE and adjacent mountains.
54 ENVIRONMENTAL SCIENCES↗
Applications of Digital Twin System in a Smart City System with Multi-Energy
With the increasing number of electric vehicles (EV), the smart transportation system is becoming more closely related to the smart energy system in a smart city. However, because of the high complexity, dynamics, and large-scale of these two systems, it is challenging to study their operation problems systematically, especially in severe conditions, e.g., the 2021 winter Texas power traffic crisis. With artificial intelligence, federated learning, edge computing, and automatic control, a digital twin based smart city is proposed in this paper and it focuses on two applications: smart transportation and smart energy grid. Both systems are presented in a structured design manner with several components in the digital twin system, which also contains many real-implementations of different scenarios. The proposed digital twin of a smart city provides a potential clue for the problems mentioned above.
artificial intelligence↗
Cloud–Aerosol–Turbulence Interactions: Science Priorities and Concepts for a Large-Scale Laboratory Facility
The purpose of this meeting summary, therefore, is to outline the range of scientific questions, and the facility concepts that were explored.We began the workshop with a series of overview talks to highlight scientific questions that could be investigated in a large-scale aerosol-cloud-turbulence laboratory facility. Topics included warm and mixed-phase cloud microphysics, aerosol and cloud chemistry, atmospheric turbulence, radiative transfer, cloud/aerosol instrumentation, and remote sensing. There was ample time for questions and discussion following each overview presentation. We also broke into groups for several hours at various points to enable more active discussion among all participants.
54 ENVIRONMENTAL SCIENCES↗
HMGB1 mediates HAdV-7 infection-induced pulmonary inflammation in mice
Highlights: • HMGB1 was associated with HAdV-7-induced lung inflammation and pathology. • HMGB1 promoted HAdV-7 replication and bound to TLR-4, TLR-9, and RAGE receptors. • Receptor engagement by HMGB1 activated NF-κB, inducing inflammatory mediators. • Thus, HMGB1 could serve as a therapeutic target in HAdV-7 infection. Human adenovirus (HAdV) is a common respiratory pathogen in children, with no safe and effective treatment currently available. HAdV type 7 (HAdV-7), in particular, causes severe pediatric pneumonia with a high incidence of sequelae and mortality. Clinical data and animal experiments suggest that HAdV-7-induced pneumonia promotes cell necrosis, releasing a large number of inflammatory mediators. In recent years, the high mobility group box-1 (HMGB1) protein, released by necrotic cells, has been shown to play important roles in several viral infections. Here, we show that HMGB1 levels gradually increased in the media supernatants of HAdV-7 infected A549 cells, starting at 12 h post-infection. In vivo, HMGB1 levels in BALF and mRNA levels in lung tissues significantly increased after 3 days of HAdV-7 infection. Among the HMGB1 receptor genes, TLR-4 and TLR-9 expression increased, and so did the receptor for advanced glycation end-products (RAGE). Interestingly, NF-κB levels also increased concomitantly. Conversely, when HMGB1 was blocked, the pathological scores from lung tissues, inflammatory mediator levels, and viral copy number all were reduced significantly; in addition, HMGB1-related signaling pathway molecules, namely TLR-4, TLR-9, RAGE, and NF-κB were also reduced. We conclude that HMGB1 promotes HAdV-7 replication and signals through TLR-4, TLR-9, and RAGE receptors to activate NF-κB, stimulating the release of inflammatory mediators and contributing to adenoviral pathology. Thus, HMGB1 could be used as a therapeutic target in HAdV-7 infection.
60 APPLIED LIFE SCIENCES↗