Yang Lyu
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View article: Analytical reliability evaluation and weak-link identification of complex distribution systems integrated with distributed generation and soft open points
Analytical reliability evaluation and weak-link identification of complex distribution systems integrated with distributed generation and soft open points Open
View article: Fusion of Dual Wind Component for Radar Echo Nowcasting Based on a Deep Learning Model
Fusion of Dual Wind Component for Radar Echo Nowcasting Based on a Deep Learning Model Open
Nowcasting serves as a pivotal tool in predicting severe weather phenomena, which is essential for disaster prevention and mitigation. However, existing nowcasting models often struggle due to insufficient background information input. In …
View article: UAV Path Planning via Semantic Segmentation of 3D Reality Mesh Models
UAV Path Planning via Semantic Segmentation of 3D Reality Mesh Models Open
Traditional image-based 3D reconstruction methods often rely solely on geometric information from initial models, resulting in redundant data acquisition in non-architectural areas. This paper proposes a UAV path planning method via semant…
View article: Direction-Informed Deep Learning with Topographic Fusion for 10m Wind Downscaling
Direction-Informed Deep Learning with Topographic Fusion for 10m Wind Downscaling Open
View article: Assessing the monthly performance of daily precipitation products over Southeast Asia using the gauge-based analysis
Assessing the monthly performance of daily precipitation products over Southeast Asia using the gauge-based analysis Open
Accurate precipitation data is essential for understanding land surface processes and the hydrological cycle, particularly in Southeast Asia (SEA), where precipitation patterns are influenced by complex climatic interactions. This study ev…
View article: Revealing the Circulation Patterns Most Conducive to Regional Heatwave in Southeast Asia and the Mechanisms Behind
Revealing the Circulation Patterns Most Conducive to Regional Heatwave in Southeast Asia and the Mechanisms Behind Open
The increasing frequency of heatwaves over Southeast Asia (SEA) is impacting human health, infrastructure and economies. Understanding the relationship between large‐scale circulation patterns and heatwaves is crucial for improving predict…
View article: Analysis of Fractional Vegetation Coverage and its Dynamic Change in the Yalong River Basin based on Dimidiate Pixel Model
Analysis of Fractional Vegetation Coverage and its Dynamic Change in the Yalong River Basin based on Dimidiate Pixel Model Open
Fractional vegetation coverage (FVC) and its spatio-temporal variations are critical indicators of regional ecological changes, which are of great significance to study the laws of surface variation and analyze regional ecosystem. Under th…
View article: Subseasonal prediction of weekly precipitation anomalies over Southern China during early summer based on predictability analysis and machine learning
Subseasonal prediction of weekly precipitation anomalies over Southern China during early summer based on predictability analysis and machine learning Open
View article: Analytical Reliability Evaluation and Weak-Link Identification of Complex Distribution Systems Integrated with Distributed Generation and Soft Open Points
Analytical Reliability Evaluation and Weak-Link Identification of Complex Distribution Systems Integrated with Distributed Generation and Soft Open Points Open
View article: Physics-aware Deep Neural Network for Bias Correction of 1–24-h Precipitation Forecasts
Physics-aware Deep Neural Network for Bias Correction of 1–24-h Precipitation Forecasts Open
View article: Monthly Prediction on Summer Extreme Precipitation With a Deep Learning Approach: Experiments Over the Mid‐To‐Lower Reaches of the Yangtze River
Monthly Prediction on Summer Extreme Precipitation With a Deep Learning Approach: Experiments Over the Mid‐To‐Lower Reaches of the Yangtze River Open
Accurate predictions of monthly extremes assume paramount importance in enabling proactive decision‐making, which however are lacked in skills even for state‐of‐the‐art dynamical models. Taking the extreme precipitation prediction over the…
View article: The characterization, mechanism, predictability, and impacts of the unprecedented 2023 Southeast Asia heatwave
The characterization, mechanism, predictability, and impacts of the unprecedented 2023 Southeast Asia heatwave Open
In April and May 2023, Southeast Asia (SEA) encountered an exceptional heatwave. The Continental SEA was hardest hit, where all the countries broke their highest temperature records with measurements exceeding 42 °C, and Thailand set the r…
View article: Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM
Generating Event-oriented Attribution for Movies via Two-Stage Prefix-Enhanced Multimodal LLM Open
The prosperity of social media platforms has raised the urgent demand for semantic-rich services, e.g., event and storyline attribution. However, most existing research focuses on clip-level event understanding, primarily through basic cap…
View article: Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-UNET method
Significant advancement in subseasonal-to-seasonal summer precipitation ensemble forecast skills in China mainland through an innovative hybrid CSG-UNET method Open
Reliable Subseasonal-to-Seasonal (S2S) forecasts of precipitation are critical for disaster prevention and mitigation. In this study, an innovative hybrid method CSG-UNET combining the UNET with the censored and shifted gamma distribution …
View article: Recent advances of molecular imprinting technology for the separation and recognition of complex biological sample systems
Recent advances of molecular imprinting technology for the separation and recognition of complex biological sample systems Open
Given continuous improvements in industrial production and living standards, the analysis and detection of complex biological sample systems has become increasingly important. Common complex biological samples include blood, serum, saliva,…
View article: Deep Learning for Daily 2‐m Temperature Downscaling
Deep Learning for Daily 2‐m Temperature Downscaling Open
This study proposes a novel method, which is a U‐shaped convolutional neural network that combines non‐local attention mechanisms, Res2net residual modules, and terrain information (UNR‐Net). The original U‐Net method and the linear regres…
View article: Improving Subseasonal‐To‐Seasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method
Improving Subseasonal‐To‐Seasonal Prediction of Summer Extreme Precipitation Over Southern China Based on a Deep Learning Method Open
The reliable Subseasonal‐to‐Seasonal (S2S) forecast of precipitation, particularly extreme precipitation, is critical for disaster prevention and mitigation, which however remains a great challenge for mission agencies and research communi…
View article: Ten-Meter Wind Speed Forecast Correction in Southwest China Based on U-Net Neural Network
Ten-Meter Wind Speed Forecast Correction in Southwest China Based on U-Net Neural Network Open
Accurate forecasting of wind speed holds significant importance for the economic and social development of humanity. However, existing numerical weather predictions have certain inaccuracies due to various reasons. Therefore, it is highly …
View article: Deep Learning for Daily 2-m Temperature Downscaling
Deep Learning for Daily 2-m Temperature Downscaling Open
This paper presents a novel deep learning downscaling method, UNR-Net, capable of downscaling daily 2-m temperature by a factor of 10• The overall performance of the UNR-Net method surpasses the U-Net method and linear regression method• T…
View article: Pavement Temperature Forecasts Based on Model Output Statistics: Experiments for Highways in Jiangsu, China
Pavement Temperature Forecasts Based on Model Output Statistics: Experiments for Highways in Jiangsu, China Open
Forecasts on transportation meteorology, such as pavement temperature, are becoming increasingly important in the face of global warming and frequent disruptions from extreme weather and climate events. In this study, we propose a pavement…
View article: Application of Deep Learning in the Search and a Certain Celestial Body
Application of Deep Learning in the Search and a Certain Celestial Body Open
With the development of the times, celestial body search has become increasingly common, and people want to enhance their understanding of the universe through further search of celestial bodies. Nowadays, many software and hardware have b…
View article: Observations and Forecasts of Urban Transportation Meteorology in China: A Review
Observations and Forecasts of Urban Transportation Meteorology in China: A Review Open
Against the backdrop of intensified global warming, extreme weather events such as dense fog, low visibility, heavy precipitation, and extreme temperatures have been increased and enhanced to a great extent. They are likely to pose severe …
View article: Analyses on the Multimodel Wind Forecasts and Error Decompositions over North China
Analyses on the Multimodel Wind Forecasts and Error Decompositions over North China Open
In this study, wind forecasts derived from the European Centre for Medium-Range Weather Forecasts (ECMWF), the National Centers for Environmental Prediction (NCEP), the Japan Meteorological Agency (JMA) and the United Kingdom Meteorologica…
View article: Forecast calibrations of surface air temperature over Xinjiang based on U-net neural network
Forecast calibrations of surface air temperature over Xinjiang based on U-net neural network Open
In this study, a deep learning method named U-net neural network is utilized to calibrate the gridded forecast of surface air temperature from the Global Ensemble Forecasting System (GEFS), with forecast lead times of 1–7 days in Xinjiang.…
View article: Subseasonal forecasts of precipitation over maritime continent in boreal summer and the sources of predictability
Subseasonal forecasts of precipitation over maritime continent in boreal summer and the sources of predictability Open
In this study, subseasonal precipitation forecast skills over Maritime Continent in boreal summer are investigated for the ECMWF and CMA models involved in the S2S Project. Results indicate that the ECMWF model shows generally superior for…
View article: Characterization of the PeV astrophysical neutrino energy spectrum with IceCube using down-going tracks
Characterization of the PeV astrophysical neutrino energy spectrum with IceCube using down-going tracks Open
The IceCube Neutrino Observatory has observed a diffuse flux of astrophysical neutrinos with energies from TeV to a few PeV. Recent IceCube analyses have limited sensitivity to PeV neutrinos because upward-going neutrino fluxes are attenua…
View article: Characterization of the PeV astrophysical neutrino energy spectrum with IceCube using down-going tracks
Characterization of the PeV astrophysical neutrino energy spectrum with IceCube using down-going tracks Open
The IceCube Neutrino Observatory has observed a diffuse flux of astrophysical neutrinos with energies from TeV to a few PeV. Recent IceCube analyses have limited sensitivity to PeV neutrinos because upward-going neutrino fluxes are attenuated…
View article: Lepton angular distribution of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>W</mml:mi></mml:math> boson productions
Lepton angular distribution of boson productions Open
The lepton angular distribution coefficients $A_i$ for $Z$ boson production\nin $pp$ and $\\bar p p$ collisions have been measured at the LHC and the\nTevatron. A recent study showed that many features of the measured angular\ndistribution…
View article: A high fraction of double-peaked narrow emission lines in powerful active galactic nuclei
A high fraction of double-peaked narrow emission lines in powerful active galactic nuclei Open
1 per cent of redshift z ∼ 0.1 active galactic nuclei (AGNs) show velocity splitting of a few hundred km s−1 in the narrow emission lines in spatially integrated spectra. Such line profiles have been found to arise from the bulk motion of …