Yujun He
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View article: An Approach to Improving the 4DEnVar‐Initialized Deterministic Prediction Skill for Global Weather
An Approach to Improving the 4DEnVar‐Initialized Deterministic Prediction Skill for Global Weather Open
Global deterministic numerical weather predictions (DNWPs) initialized from the ensemble mean analysis of four‐dimensional ensemble‐variational (4DEnVar) data assimilation are usually worse than those initialized by four‐dimensional variat…
View article: The Role of Ocean Initialization in Improving the Decadal Prediction Skill of East Asian Summer Monsoon
The Role of Ocean Initialization in Improving the Decadal Prediction Skill of East Asian Summer Monsoon Open
The East Asian summer monsoon (EASM) exhibits significant decadal variations and influences the summer rainfall in China, which has a great impact on the economic and social activities there. Thus, the accurate decadal prediction of the EA…
View article: Evaluation and Attribution of Shortwave Feedbacks to ENSO in CMIP6 Models
Evaluation and Attribution of Shortwave Feedbacks to ENSO in CMIP6 Models Open
The shortwave (SW) feedback to El Niño–Southern Oscillation (ENSO) is one of the largest biases in climate models, as the feedback includes atmosphere–ocean interactions and cloud processes. In this study, the performance …
View article: The Impact of Assimilating Cirrus‐Effected Infrared Satellite Radiance From the FY‐4A AGRI on Water Vapor Analysis and Rainstorm Forecasting
The Impact of Assimilating Cirrus‐Effected Infrared Satellite Radiance From the FY‐4A AGRI on Water Vapor Analysis and Rainstorm Forecasting Open
In this study, a method for assimilating FY4A advanced geostationary radiance imager (AGRI) cirrus‐effected radiances (CER) is investigated, and the impact of this method on water vapor analysis and rainstorm forecasting is examined throug…
View article: Simulation and Analysis of the Mesoscale Vortex Affecting the “21·7” Extreme Rainstorm in Henan
Simulation and Analysis of the Mesoscale Vortex Affecting the “21·7” Extreme Rainstorm in Henan Open
From 17 to 22 July 2021, the “21·7” extreme rainfall event (“21·7” ERE) hit Henan Province, breaking the record for mainland China with a maximum hourly rainfall of 201.9 mm at the Zhengzhou station. The long-lived (20 h) mesoscale Huang-H…
View article: A bibliometric and visualization analysis of global research on postherpetic neuralgia from 2000 to 2022: A review
A bibliometric and visualization analysis of global research on postherpetic neuralgia from 2000 to 2022: A review Open
Postherpetic neuralgia (PHN) represents a notable clinical challenge as it is the most prevalent and severe complication of herpes zoster (HZ). The primary objective was to investigate the current research status and hotspots of PHN resear…
View article: Assimilating AMSU-A Radiance Observations with an Ensemble Four-Dimensional Variational (En4DVar) Hybrid Data Assimilation System
Assimilating AMSU-A Radiance Observations with an Ensemble Four-Dimensional Variational (En4DVar) Hybrid Data Assimilation System Open
Many ensemble-based data assimilation (DA) methods use observation space localization to mitigate the sampling errors due to the insufficient ensemble members. Observation space localization is simpler and more timesaving than model space …
View article: A 4DEnVar‐Based Ensemble Four‐Dimensional Variational (En4DVar) Hybrid Data Assimilation System for Global NWP: System Description and Primary Tests
A 4DEnVar‐Based Ensemble Four‐Dimensional Variational (En4DVar) Hybrid Data Assimilation System for Global NWP: System Description and Primary Tests Open
This study developed an ensemble four‐dimensional variational (En4DVar) hybrid data assimilation system. Different from most of the available En4DVar systems that adopted ensemble Kalman Filter class or ensemble data assimilation approache…
View article: A Four‐Dimensional Ensemble‐Variational (4DEnVar) Data Assimilation System Based on GRAPES‐GFS: System Description and Primary Tests
A Four‐Dimensional Ensemble‐Variational (4DEnVar) Data Assimilation System Based on GRAPES‐GFS: System Description and Primary Tests Open
A four‐dimensional ensemble‐variational (4DEnVar) data assimilation (DA) system was developed based on the global forecast system of the Global/Regional Assimilation and Prediction System (GRAPES‐GFS). Instead of using the adjoint techniqu…
View article: Unexpected Changes of Aerosol Burdens With Decreased Convection in the Context of Scale‐Aware Convection Schemes
Unexpected Changes of Aerosol Burdens With Decreased Convection in the Context of Scale‐Aware Convection Schemes Open
Atmospheric aerosols in global climate models (GCMs) can be removed by both large‐scale and convective precipitation. As the horizontal resolution of GCMs increases, it is expected that large‐scale precipitation increases and convective pr…
View article: Training and Testing Data, Associated Code, and WRF Code for ML-based nonhydrostatic alternative scheme in dynamical core of atmosphere
Training and Testing Data, Associated Code, and WRF Code for ML-based nonhydrostatic alternative scheme in dynamical core of atmosphere Open
Data and codes for a nonhydrostatic alternative scheme (NAS) in dynamical core of atmosphere based on machine learning. In this new version, the randomly sampled training data samples testing data samples from nonhydrostatic simulations in…
View article: Training and Testing Data, Associated Code, and WRF Code for ML-based nonhydrostatic alternative scheme in dynamical core of atmosphere
Training and Testing Data, Associated Code, and WRF Code for ML-based nonhydrostatic alternative scheme in dynamical core of atmosphere Open
Data and codes for a nonhydrostatic alternative scheme (NAS) in dynamical core of atmosphere based on machine learning. In this new version, the randomly sampled training data samples testing data samples from nonhydrostatic simulations in…
View article: Exploring Carbon Neutrality in Power IndustryBased on Electric Carbon Productivity:a Multi-Dimensional Decompositionfrom the Perspective of Productionand Consumption
Exploring Carbon Neutrality in Power IndustryBased on Electric Carbon Productivity:a Multi-Dimensional Decompositionfrom the Perspective of Productionand Consumption Open
Achieving carbon-neutrality 2060 target is a solemn commitment made by China to the world.In the process of advancing carbon neutrality goals, power industry is an important starting point for addressing climate change.This study employs C…
View article: Winter Warming in North America Induced by Urbanization in China
Winter Warming in North America Induced by Urbanization in China Open
Rapid urbanization in China in the past several decades has been shown to affect surface air temperature (SAT) locally, but its global impact is unclear. Using a global climate model, we have investigated the potential impact of urbanizati…
View article: Dataset for "Role of SST Decadal Variabilitiy in Skillful Prediction of Sahel Rainfall"
Dataset for "Role of SST Decadal Variabilitiy in Skillful Prediction of Sahel Rainfall" Open
The dataset is the FGOALS-g2 decadal prediction experiments outputs of the ten-member ensemble mean for the paper "Role of SST Decadal Variability in Skillful Prediction of Sahel Rainfall". The dataset contains seven variables: precipitati…
View article: Dataset for "Role of SST Decadal Variabilitiy in Skillful Prediction of Sahel Rainfall"
Dataset for "Role of SST Decadal Variabilitiy in Skillful Prediction of Sahel Rainfall" Open
The dataset is the FGOALS-g2 decadal prediction experiments outputs of the ten-member ensemble mean for the paper "Role of SST Decadal Variability in Skillful Prediction of Sahel Rainfall". The dataset contains seven variables: precipitati…
View article: Improved decadal predictions of <scp>East Asian</scp> summer monsoon with a weakly coupled data assimilation scheme
Improved decadal predictions of <span>East Asian</span> summer monsoon with a weakly coupled data assimilation scheme Open
The East Asian summer monsoon (EASM) has undergone significant decadal variations since the late 1970s, which greatly affects regional economic and societal activities. However, most available EASM predictions are limited to seasonal to in…
View article: Significant Land Contributions to Interannual Predictability of East Asian Summer Monsoon Rainfall
Significant Land Contributions to Interannual Predictability of East Asian Summer Monsoon Rainfall Open
Marked by large interannual variability, East Asian summer monsoon (EASM) rainfall has profound socio‐economic impacts through its dominant influence on floods and droughts. Improving predictions of the interannual variations of EASM rainf…
View article: A DRP‐4DVar‐Based Coupled Data Assimilation System With a Simplified Off‐Line Localization Technique for Decadal Predictions
A DRP‐4DVar‐Based Coupled Data Assimilation System With a Simplified Off‐Line Localization Technique for Decadal Predictions Open
A new weakly coupled data assimilation (CDA) system based on the dimension‐reduced projection four‐dimensional variational data assimilation (DRP‐4DVar) with a simplified off‐line localization technique and a fully coupled model, i.e., the…
View article: Perspectives for Tibetan Plateau data assimilation
Perspectives for Tibetan Plateau data assimilation Open
View article: A time-of-use based electricity price package mechanism in retail market considering consumers’ diversity
A time-of-use based electricity price package mechanism in retail market considering consumers’ diversity Open
In the deregulated retail market, consumers should have more right of choice for paying for their energy demand. This paper focuses on the design of electricity price package mechanism in retail market considering the demand elasticity of …
View article: Simulation of Precipitation Extremes Using a Stochastic Convective Parameterization in the NCAR CAM5 Under Different Resolutions
Simulation of Precipitation Extremes Using a Stochastic Convective Parameterization in the NCAR CAM5 Under Different Resolutions Open
With the incorporation of the Plant‐Craig stochastic deep convection scheme into the Zhang‐McFarlane deterministic parameterization in the Community Atmospheric Model version 5 (CAM5), its impact on extreme precipitation at different resol…
View article: Reduction of initial shock in decadal predictions using a new initialization strategy
Reduction of initial shock in decadal predictions using a new initialization strategy Open
A novel full‐field initialization strategy based on the dimension‐reduced projection four‐dimensional variational data assimilation (DRP‐4DVar) is proposed to alleviate the well‐known initial shock occurring in the early years of decadal p…
View article: CO2 Emissions from China’s Power Industry: Scenarios and Policies for 13th Five-Year Plan
CO2 Emissions from China’s Power Industry: Scenarios and Policies for 13th Five-Year Plan Open
The extended Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model has been applied to analyzing the relationship between CO2 emissions from power industry and the influential factors for the period from …
View article: An Electric Carbon Productivity Analysis of China’s Industrial Sector Using Multi-Dimensional Decomposition
An Electric Carbon Productivity Analysis of China’s Industrial Sector Using Multi-Dimensional Decomposition Open
Carbon productivity is a special indicator that coordinates economic development and climate resource protection.Similar to carbon productivity, electricity carbon productivity (ECP) is defined and researched in our paper since it is an ef…
View article: Importance of bitwise identical reproducibility in earth system modeling and status report
Importance of bitwise identical reproducibility in earth system modeling and status report Open
Reproducibility is a fundamental principle of scientific research. Bitwise identical reproducibility, i.e., bitwise computational results can be reproduced, guarantees the reproduction of exactly the same results. Here we show the importan…
View article: Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model
Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model Open
Accurate forecasting of fossil fuel energy consumption for power generation is important and fundamental for rational power energy planning in the electricity industry. The least squares support vector machine (LSSVM) is a powerful methodo…
View article: Correction: Controlling molecular ordering in solution-state conjugated polymers
Correction: Controlling molecular ordering in solution-state conjugated polymers Open
Correction for 'Controlling molecular ordering in solution-state conjugated polymers' by J. Zhu et al., Nanoscale, 2015, DOI: 10.1039/c5nr02037a.
View article: Controlling molecular ordering in solution-state conjugated polymers
Controlling molecular ordering in solution-state conjugated polymers Open
Rationally encoding molecular interactions that can control the assembly structure and functional expression in a solution of conjugated polymers hold great potential for enabling optimal organic optoelectronic and sensory materials. In th…