Bing Gong
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View article: Lightweight design of cannon frame considering dimension and topology coupling
Lightweight design of cannon frame considering dimension and topology coupling Open
The cannon frame is a primary load-bearing component of the firepower system, and lightweight design plays an important role improving the artillery’s manoeuvrability. However, the present lightweight design methods don’t consider the inte…
View article: Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model Open
The rapid advancement of artificial intelligence (AI) in weather research has been driven by the ability to learn from large, high-dimensional datasets. However, this progress also poses significant challenges, particularly regarding the s…
View article: Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model
Compressing high-resolution data through latent representation encoding for downscaling large-scale AI weather forecast model Open
The rapid advancement of artificial intelligence (AI) in weather research has been driven by the ability to learn from large, high-dimensional datasets. However, this progress also poses significant challenges, particularly regarding the s…
View article: Towards practical artificial intelligence in Earth sciences
Towards practical artificial intelligence in Earth sciences Open
Although Artificial Intelligence (AI) projects are common and desired by many institutions and research teams, there are still relatively few success stories of AI in practical use for the Earth science community. Many AI practitioners in …
View article: Diagnosing ozone–NO <sub> <i>x</i> </sub> –VOC–aerosol sensitivity and uncovering causes of urban–nonurban discrepancies in Shandong, China, using transformer-based estimations
Diagnosing ozone–NO <sub> <i>x</i> </sub> –VOC–aerosol sensitivity and uncovering causes of urban–nonurban discrepancies in Shandong, China, using transformer-based estimations Open
Narrowing surface ozone disparities between urban and nonurban areas escalate health risks in densely populated urban zones. A comprehensive understanding of the impact of ozone photochemistry on this transition remains constrained by curr…
View article: Progress on the biological characteristics and physiological activities of fucoxanthin produced by marine microalgae
Progress on the biological characteristics and physiological activities of fucoxanthin produced by marine microalgae Open
Background Fucoxanthin is a carotenoid found in seaweed. Its unique chemical structure gives it a variety of properties. Thus fucoxanthin have attracted the attention of companies and researchers. Methods Scientific papers were collected f…
View article: Comment on egusphere-2023-2640
Comment on egusphere-2023-2640 Open
Abstract. Narrowing surface ozone disparities between urban and nonurban areas escalate health risks in densely populated urban zones. A comprehensive understanding of the impact of ozone photochemistry processes on this transition remains…
View article: Diagnosing Ozone-NO <sub>x</sub> -VOCs-Aerosols Sensitivity to Uncover Urban-nonurban Discrepancies in Shandong, China using Transformer-based High-resolution Air Pollution Estimations
Diagnosing Ozone-NO <sub>x</sub> -VOCs-Aerosols Sensitivity to Uncover Urban-nonurban Discrepancies in Shandong, China using Transformer-based High-resolution Air Pollution Estimations Open
Narrowing surface ozone disparities between urban and nonurban areas escalate health risks in densely populated urban zones. A comprehensive understanding of the impact of ozone photochemistry processes on this transition remains constrain…
View article: AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning Open
The atmosphere affects humans in a multitude of ways, from loss of life due to adverse weather effects to long-term social and economic impacts on societies. Computer simulations of atmospheric dynamics are, therefore, of great importance …
View article: How to understand high global food price? Using SHAP to interpret machine learning algorithm
How to understand high global food price? Using SHAP to interpret machine learning algorithm Open
The global food prices have surged to historical highs, and there is no consensus on the reasons behind this round of price increases in academia. Based on theoretical analysis, this study uses monthly data from January 2000 to May 2022 an…
View article: CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting
CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting Open
The prediction of precipitation patterns up to 2 h ahead, also known as precipitation nowcasting, at high spatiotemporal resolutions is of great relevance in weather-dependent decision-making and early warning systems. In this study, we ar…
View article: Statistical downscaling of precipitation with deep neural networks
Statistical downscaling of precipitation with deep neural networks Open
Accurate weather predictions are essential for many aspects of social society. Providing a reliable high-resolution precipitation field is essential to capture the finer scale of heavy precipitation events,  which is normally poorly r…
View article: Towards a benchmark dataset for statistical downscaling of meteorological fields
Towards a benchmark dataset for statistical downscaling of meteorological fields Open
The representation of the atmospheric state at high spatial resolution is of particular relevance in various domains of Earth science. While global reanalysis datasets such as ERA5 provide comprehensive repositories of meteorological data,…
View article: Comment on egusphere-2022-859
Comment on egusphere-2022-859 Open
Abstract. The prediction of precipitation patterns at high spatio-temporal resolution up to two hours ahead, also known as precipitation nowcasting, is of great relevance in weather-dependant decision-making and early warning systems. In t…
View article: Comment on egusphere-2022-859
Comment on egusphere-2022-859 Open
Abstract. The prediction of precipitation patterns at high spatio-temporal resolution up to two hours ahead, also known as precipitation nowcasting, is of great relevance in weather-dependant decision-making and early warning systems. In t…
View article: Temperature forecasting by deep learning methods
Temperature forecasting by deep learning methods Open
Numerical weather prediction (NWP) models solve a system of partial differential equations based on physical laws to forecast the future state of the atmosphere. These models are deployed operationally, but they are computationally very ex…
View article: Comment on egusphere-2022-859
Comment on egusphere-2022-859 Open
Abstract. The prediction of precipitation patterns at high spatio-temporal resolution up to two hours ahead, also known as precipitation nowcasting, is of great relevance in weather-dependant decision-making and early warning systems. In t…
View article: CLGAN: A GAN-based video prediction model for precipitation nowcasting
CLGAN: A GAN-based video prediction model for precipitation nowcasting Open
The prediction of precipitation patterns at high spatio-temporal resolution up to two hours ahead, also known as precipitation nowcasting, is of great relevance in weather-dependant decision-making and early warning systems. In this study,…
View article: CLGAN: Guizhou ML-AWS precipitation dataset
CLGAN: Guizhou ML-AWS precipitation dataset Open
This repository provides the preprocessed datasets and source codes, which are used in the study 'CLGAN: A GAN-based video prediction model for precipitation nowcasting' by Ji et al. (2022). This allows the user to reproduce the presented …
View article: CLGAN: Guizhou ML-AWS precipitation dataset
CLGAN: Guizhou ML-AWS precipitation dataset Open
This repository provides the preprocessed datasets and source codes, which are used in the study 'CLGAN: A GAN-based video prediction model for precipitation nowcasting' by Ji et al. (2022). This allows the user to reproduce the presented …
View article: Statistical downscaling of the 2m temperature with a generative adversarial network (GAN)
Statistical downscaling of the 2m temperature with a generative adversarial network (GAN) Open
<p>Despite continuous improvements in numerical atmospheric models and the ever-growing computational resources, global weather forecast and climate models still operate with grid spacings between 10 and 50 km. While a further increa…
View article: Comment on gmd-2021-430
Comment on gmd-2021-430 Open
Abstract. Numerical weather prediction (NWP) models solve a system of partial differential equations based on physical laws to forecast the future state of the atmosphere. These models are deployed operationally, but they are computational…
View article: Comment on gmd-2021-430
Comment on gmd-2021-430 Open
Numerical weather prediction (NWP) models solve a system of partial differential equations based on physical laws to forecast the future state of the atmosphere. These models are deployed operationally, but they are computationally very ex…
View article: GAN-based video prediction model for precipitation nowcasting
GAN-based video prediction model for precipitation nowcasting Open
<p>Detecting and predicting heavy precipitation for the next few hours is of great importance in weather related decision-making and early warning systems. Although great progress has been achieved in convective-permitting numerical …
View article: Stochastic downscaling of the 2m temperature with a generative adversarial network (GAN)
Stochastic downscaling of the 2m temperature with a generative adversarial network (GAN) Open
<p>Inspired by the success of superresolution applications in computer vision, deep neural networks have recently been recognized as an appealing approach for statistical downscaling of meteorological fields. While further increasing…
View article: Temperature forecasting by deep learning methods
Temperature forecasting by deep learning methods Open
Numerical weather prediction (NWP) models solve a system of partial differential equations based on physical laws to forecast the future state of the atmosphere. These models are deployed operationally, but they are computationally very ex…
View article: HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction Open
Machine learning (ML) applications in weather and climate are gaining momentum as big data and the immense increase in High-performance computing (HPC) power are paving the way. Ensuring FAIR data and reproducible ML practices are signific…
View article: State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models
State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models Open
The accuracy of state of charge estimation results will directly affect the performance of battery management system. Due to such, we focus in this article on the SOC estimation of Lithium-Ion batteries based on a fractional second-order R…