A5041902220- Climate variability and models
- Meteorological Phenomena and Simulations
- Hydrology and Drought Analysis
- Hydrology and Watershed Management Studies
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Cultural Heritage Materials Analysis
- Climate change impacts on agriculture
- Precipitation Measurement and Analysis
- Oceanographic and Atmospheric Processes
- Microstructure and Mechanical Properties of Steels
- Metallurgy and Cultural Artifacts
Nanjing University of Information Science and Technology
2017-2022
Abstract. The co-occurrence of (not necessarily extreme) precipitation and surge can lead to extreme inland water levels in coastal areas. In a previous work the positive dependence between two meteorological drivers was demonstrated managed system Netherlands by empirically investigating an 800-year time series levels, which were simulated via physical-based hydrological model driven regional climate large ensemble. this study, we present impact-focused multivariate statistical framework...
Based on the simulated temperature and precipitation from CMIP6 models, joint distribution characteristics of summer in China are described Copula approach. The occurrence risk compound extremes (i.e., warm/dry, warm/wet events) corresponding univariate events warm, wet, dry historical period compared; changes discussed under global warming 1.5 °C 2 °C. Results show that: 1) approach can describe probability observation model simulations most parts except for Qinghai-Tibet Plateau; 2)...
© 2020 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).CORRESPONDING AUTHOR: Wei Li, weili@nuist.edu.cnA supplement to article is available online (10.1175/BAMS-D-19-0147.2)
The Paris Agreement aims to keep global warming well below 2 °C above pre-industrial levels and pursue efforts limit it 1.5 °C, recognizing this will reduce the risks of natural disasters significantly. As changes in temperature extremes are often associated with probability distribution, further analysis is still needed improve understanding warm over China. In study, occurrence statistic characteristics distribution investigated using fifth phase Coupled Model Intercomparison Project...
The observed intensity, frequency, and duration (IFD) of summer wet spells, defined here as extreme events with one or more consecutive days in which daily precipitation exceeds a given threshold (the 95th percentile), their future changes RCP4.5 RCP8.5 the late 21st century over China, are investigated by using spell model (WSM) extending point process approach to value analysis. Wet intensity is modeled conditional generalized Pareto distribution, frequency Poisson geometric respectively....
Abstract Based on the daily precipitation data of 96 stations in Xinjiang, China, from 1970 to 2021, trend summer extreme indices and their regional characteristics are analyzed. The generalized value (GEV) model is used investigate probability distribution northern, southern, eastern Xinjiang. results show that (1) maximum 1-day (RX1day) 5-day (RX5day) most Xinjiang showed an increasing trend, while consecutive dry days (CDD) a decreasing trend. (2) climatology (mean intensity) RX1day,...
Abstract. The co-occurrence of (not necessarily extreme) precipitation and surge can lead to extreme inland water levels in coastal areas. In a previous work the positive dependence between two meteorological drivers was demonstrated case study Netherlands by empirically investigating an 800-year time series levels, which were simulated via physical-based hydrological model driven regional climate large ensemble. this study, we present test multivariate statistical framework replicate...
Based on Bayesian model averaging (BMA), the suitability and characteristics of BMA for forecasting 2-m temperature in Xinjiang China were analyzed by using forecast results Desert Oasis Gobi Regional Analysis Forecast System (DOGRAFS) Rapid-refresh Multiscale Prediction (RMAPS) developed Urumqi Institute Meteorology Meteorological Administration, Administration–Global (CMA-GFS) European Center Medium-Range Weather Forecasts (ECMWF) Center. The showed that (1) weight ECMWF to is maintained...