A5043065834- Climate variability and models
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Arctic and Antarctic ice dynamics
- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
- Climate change impacts on agriculture
- Cryospheric studies and observations
- Land Use and Ecosystem Services
- Hydrological Forecasting Using AI
- Remote Sensing in Agriculture
- Coal Properties and Utilization
- Coal and Its By-products
- Atmospheric and Environmental Gas Dynamics
- Solar Radiation and Photovoltaics
- Climate change and permafrost
- Fault Detection and Control Systems
- Gait Recognition and Analysis
- Acoustic Wave Phenomena Research
- Diabetic Foot Ulcer Assessment and Management
- Photovoltaic System Optimization Techniques
- Methane Hydrates and Related Phenomena
- Earthquake Detection and Analysis
- Educational Technology and Pedagogy
- Landslides and related hazards
Qinghai New Energy (China)
2025
Jiangsu University
2022-2024
SGIDI Engineering Consulting (China)
2023-2024
Institute of Atmospheric Physics
2018-2023
Chinese Academy of Sciences
2018-2023
Hebei Agricultural University
2023
Shanghai Jiao Tong University
2023
Fudan University
2023
University of Chinese Academy of Sciences
2019-2023
Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2023
The outputs of the Chinese Academy Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System (FGOALS-f3-L) model for baseline experiment Atmospheric Model Intercomparison Project simulation in Diagnostic, Evaluation and Characterization Klima common experiments phase 6 Coupled (CMIP6) are described this paper. CAS FGOALS-f3-L model, settings, all given. In total, there three ensemble over period 1979–2014, which performed with different initial states. contain a total 37 variables include...
Abstract We evaluate the ability of latest generation atmospheric general circulation model from State Key Laboratory Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute Physics, Chinese Academy (namely, FAMIL2) in simulating some key characteristics (genesis location, track, number, intensity) tropical cyclones (TCs) terms their climatology seasonal to interannual variability. A standard 1° × intercomparison project experiment is carried out period...
El Nino-Southern Oscillation (ENSO) in the equatorial Pacific Ocean and Indian Dipole (IOD) are two major natural variabilities on seasonal inter-annual timescales. In this study, Flexible Global Ocean-Atmosphere-Land System Model, finite volume version 2 (FGOALS-f2), sub-seasonal to (S2S) climate prediction system, was used make a for autumn winter 2018–2019. The FGOALS-f2 S2S system developed at State Key Laboratory of Numerical Modeling Atmospheric Sciences Geophysical Fluid Dynamics...
Abstract The capability of 36 models participating in phase 6 the Coupled Model Intercomparison Project (CMIP6) and their 24 CMIP5 counterparts simulating mean state variability Arctic sea ice cover for period 1979–2014 is evaluated. In addition, a performance score each CMIP6 model provided that can be used to reduce spread projections through applying weighted averages based on ability reproduce historical state. Results show seasonal cycle extent (SIE) multimodel ensemble (MME)...
The datasets of the Chinese Academy Sciences (CAS) Flexible Global Ocean–Atmosphere–Land System (FGOALS-f3-L) model for baseline experiment fully coupled runs in Diagnostic, Evaluation and Characterization Klima (DECK) common experiments phase 6 Coupled Model Intercomparison Project (CMIP6) are described this study. CAS FGOALS-f3-L team submitted piControl run with a near equilibrium ocean state 561 years, 160-year integrations three ensemble members abrupt-4× CO2 1pctCO2, respectively....
Subseasonal-to-seasonal (S2S) prediction of winter wheat yields is crucial for farmers and decision-makers to reduce yield losses ensure food security. Recently, numerous researchers have utilized machine learning (ML) methods predict crop yield, using observational climate variables satellite data. Meanwhile, some studies also illustrated the potential state-of-the-art dynamical atmospheric in forecasting. However, coupling both has not been fully explored. Herein, we aimed establish a...
This paper presents a versatile multi-sensor fusion method and decision-making algorithm for ambulatory continuous patient monitoring purposes via body sensor network (BSN). Gait features including spatio-temporal parameters, gait asymmetry, regularity were identified estimated from individual patients data collected clinical trials. Hence, assessment diagnosis of the improvement or deterioration lower limb rehabilitation process is ensured. The experimental results 10-m free walking trials...
Abstract The South Asian circulation and precipitation in spring shows a clear seasonal transition interannual variation. We investigate how the North Atlantic sea surface temperature (SST) Tibetan Plateau (TP) forcing affect this over Asia on timescale. Our results suggest that SST can of monsoon via TP spring. positive tripole pattern anomaly during winter–spring trigger steady downstream Rossby wave train with cyclonic southwestern TP. This forms dipole mode sensible heating 10 m winds...
Gait analysis has become an important tool for diagnosing disease and evaluating progression. Currently gait was mainly conducted by experienced physicians relies on medical observation or complex equipment; hence, the application been limited. This research aims to build ambulatory system based emerging body sensor networks. A calibration method a magnetometer proposed deal with ubiquitous magnetic disturbance. proportional integral controller-based complementary filter error correction of...
Abstract The Chinese Academy of Sciences (CAS) Flexible Global Ocean–Atmosphere–Land System (FGOALS-f3-L) model datasets prepared for the sixth phase Coupled Model Intercomparison Project (CMIP6) Monsoons (GMMIP) Tier-1 and Tier-3 experiments are introduced in this paper, descriptions, experimental design outputs demonstrated. There three simulations Tier-1, with different initial states, five Tier-3, topographies or surface thermal status. Specifically, contains four orographic perturbation...
The High Resolution Model Intercomparison Project (HighResMIP) is a unique model intercomparison project in phase 6 of the Coupled (CMIP6), which focused on impact horizontal resolutions. outputs high- and low-resolution versions CAS FGOALS-f3-H FGOALS-f3-L for experiments HighResMIP simulations CMIP6 are described this paper. models their configurations, experimental settings, post-processing methods all introduced. FGOALS-f3-H, with 0.25° resolution, FGOALS-f3-L, 1° were forced by standard...
Abstract. The effects of horizontal resolution on the simulation tropical cyclones were studied using Chinese Academy Sciences Flexible Global Ocean–Atmosphere–Land System Finite-Volume version 3 (FGOALS-f3) climate system model from High-Resolution Model Intercomparison Project (HighResMIP) for Coupled phase 6 (CMIP6). Both low-resolution (about 100 km resolution) FGOALS-f3 (FGOALS-f3-L) and high-resolution 25 (FGOALS-f3-H) models used to achieve standard Tier 1 experiment required by...
Predicting remaining useful life (RUL) accurately is crucial for improving the reliability of digitized maintenance and optimizing operating cycle devices. Based on attention mechanism, this article proposes a temporal convolutional neural network (TCN)-bidirectional gate recurrent unit (BiGRU) model RUL prediction. The proposed can predict by fusing time-series information recorded multiple sensors. To suppress noise signals, sensor's raw signal filtered contribution rate processed...
Abstract An extreme drought occurred over Southeast China (SEC) in August 2019. We demonstrate synergistic effects of midlatitude and tropical circulation on this event highlight the impacts coupling locking two cyclones at different latitudes, which are otherwise ignored. propose relaying roles Tibetan Plateau (TP) western North Pacific connection with convection SEC precipitation. The equivalent-barotropic anticyclone TP lower-tropospheric cyclone both resulted from positive Indian Ocean...
Current research on soil–structure interface properties mainly focuses sand, clay, and silt, with little attention given to sandy gravel. In order study the effects of relative density materials shear behavior gravel–structure interface, a series large-scale direct tests gravel were carried out, stress–strain relationships, volume change curves, strengths investigated. The results show that angle internal friction increases linearly (R2 is 0.998), from 43.0° 48.0° when 0.3 0.9. growth trend...
The daily stability of solar irradiance significantly influences photovoltaic (PV) power generation; however, existing metrics for assessing it normally fail to robustly correlate with PV output. To address this gap, we introduce a new metric, the instability index (SII), formulated by applying Wasserstein distance assess deviation intra-day pattern from anticipated diurnal cycle. In our case station, SII closely correlates atmospheric moisture and available energy, suggesting its strong...
Subseasonal-to-seasonal (S2S) prediction of winter wheat yields is crucial for farmers and decision-makers to reduce yield losses ensure food security. Recently, numerous researchers have utilized machine learning (ML) methods predict crop using observational climate variables satellite data. Meanwhile, some studies also illustrate the potential state-of-the-art dynamical atmospheric in forecasting. However, coupling both has not been fully exploited. Herein, we aim establish a skilled...
Abstract Although the trend of sea-ice extent under global warming has been studied extensively in recent years, most climate models have failed to capture rapid change Arctic environment, which brought into question reliability model projections sea ice and suggested a potential shift dynamics. Here, based on results time-variant emergent constraint method with weighting scheme, we show that an ice-free might occur earlier (by at least 5 ~ 10 years) than previously estimated. In other...
Abstract Following the High-Resolution Model Intercomparison Project (HighResMIP) Tier 2 protocol under Coupled Phase 6 (CMIP6), three numerical experiments are conducted with Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System Model, version f3-H (CAS FGOALS-f3-H), and a 101-year (1950–2050) global high-resolution simulation dataset is presented in this study. The basic configuration FGOALS-f3-H model design briefly described, then historical validated. Forced by...
Abstract There is a distinct gap between tropical cyclone (TC) prediction skill and the societal demand for accurate predictions, especially in western Pacific (WP) North Atlantic (NA) basins, where densely populated areas are frequently affected by intense TC events. In this study, seasonal activity WP NA of fully coupled FGOALS-f2 V1.0 dynamical system evaluated. total, 36 years monthly hindcasts from 1981 to 2016 were completed with 24 ensemble members. The has been used real-time...
Accurately one-month lead precipitation prediction is crucial for the regional disaster mitigation but challenging. Based on 20 years (2001−2020) hindcasts, this study compared skills in April between Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System, Finite-Volume version 2 (FGOALS-f2) and its driving stretched-grid downscaling system (the Unified global-to-regional system, UGPS), to explore gain spring rainfall system. As a result, UGPS can significantly improve...
Seasonal prediction of summer rainfall is crucial to reduction regional disasters, but currently it has a low skill. We developed dynamical and machine learning hybrid (MLD) seasonal method for in China based on circulation fields from the Chinese Academy Sciences (CAS) Flexible Global Ocean-Atmosphere-Land System Model finite volume version 2 (FGOALS-f2) operational model. Through selecting optimum hyperparameters three methods obtain best fit least overfitting, an ensemble mean random...