Results 51 to 60 of about 868 (161)

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo, Angela K. Rowe, Michael M. Bell, Wei‐Yu Chang   +3 more
wiley   +1 more source

Evaluation and assimilation of Arctic Weather Satellite data in the AROME‐Arctic forecast system

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The Arctic Weather Satellite (AWS), launched in August 2024, is a prototype for the future EPS–Sterna constellation of small satellites carrying an innovative microwave sounder. We present the first assessment of AWS in the regional AROME‐Arctic numerical weather prediction system, covering post‐launch calibration results and the impact of AWS ...
Stéphanie Guedj, Per Dahlgren, Máté Mile   +2 more
wiley   +1 more source

Tanner $(J,L)$ Quasi-Cyclic LDPC Codes: Girth Analysis and Derived Codes

IEEE Access, 2019
Girth plays an important role in the design of low-density parity-check (LDPC) codes. Motivated by the works on the girth of some classes of Tanner quasi-cyclic (QC) LDPC codes, e.g., Tanner (3, 5), (3, 7), (3, 11), and (5, 7) codes, we, in this paper ...
Hengzhou Xu, Huaan Li, Baoming Bai, Min Zhu, Bo Zhang   +4 more
doaj   +1 more source

Improving heavy precipitation forecasts through phase‐aware nonlinear bias correction of all‐sky infrared radiances using cloud top temperature differences

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study proposes a phase‐aware bias correction framework for all‐sky infrared radiance assimilation. Cloud top temperature differences between observations and model background fields are used to identify cloud‐phase mismatch and cold‐cloud regimes.
Jiwon Hwang, Dong‐Hyun Cha, Myong‐In Lee, SangSeo Park, Yonghan Choi, Ki‐Hong Min   +5 more
wiley   +1 more source

Perovskite‐Based Catalysts for the Oxygen Evolution Reaction: Synthesis, Device Relevant Performance, and Scale‐Up Strategies

Small, EarlyView.
Perovskites are emerging as catalysts for acidic oxygen evolution in proton exchange membrane water electrolyzers. This manuscript focuses on catalyst behavior under device‐relevant conditions, highlighting surface reconstruction, elemental utilization, and membrane electrode assembly performance. By linking materials design with electrolyzer operation,
Jala Bib Khan, Norbert Kazamer, Marco Brand, Tim Hülser, Clemens Pollerberg, Ulrich Rost   +5 more
wiley   +1 more source

Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions

Software: Practice and Experience, EarlyView.
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai, Ishika Goyal, Shubham Sharma, Sri Harshita Manuri, Vinay Chamola, Rajkumar Buyya   +5 more
wiley   +1 more source

Tanner (3, 23)-Regular QC-LDPC Codes: Cycle Structure and Girth Distribution

IEEE Access
This paper studies a class of quasi-cyclic LDPC (QC-LDPC) codes, i.e., Tanner (3, 23)-regular QC-LDPC codes of code length $23p$ with $p$ being a prime and $p \equiv 1 (\mathrm {mod} 69)$ .
Qi Wang, Jingping Che, Huaan Li, Zhen Luo, Bo Zhang, Hui Liu   +5 more
doaj   +1 more source

F3AMD: Fast FiLM‐Conditioned Fourier Autoregressive Motion Diffusion

Computer Graphics Forum, EarlyView.
Abstract Recent advances in generative motion synthesis have enabled realtime autoregressive generation of diverse and realistic character animations conditioned on user inputs, as demonstrated by models such as the Conditional Autoregressive Motion Diffusion Model (CAMDM).
Calvin Z. Qiao, Benjamin MacAdam, Mohammadarsh Khokhar, Pranav Balaji, Jiaqing Hu, KangKang Yin   +5 more
wiley   +1 more source

The expected inflation risk premium in the U.S. stock market

Journal of Financial Research, EarlyView.
Abstract This article studies how expected inflation risk affects asset prices. We propose an ex‐ante, tradable proxy for this risk, derived from the term spread of gold futures prices. Using cross‐sectional and time series asset pricing tests, we show how an increase in expected inflation risk lowers contemporaneous prices and raises equity returns ...
Pascal Letourneau, Gabriel J. Power, Garrett C. C. Smith   +2 more
wiley   +1 more source