Wei Li

ORCID: 0000-0003-2251-3731
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Tropical and Extratropical Cyclones Research
  • Antimicrobial Peptides and Activities
  • Bat Biology and Ecology Studies
  • Advanced Measurement and Detection Methods
  • Cryospheric studies and observations
  • Hydrological Forecasting Using AI
  • Flood Risk Assessment and Management
  • Landslides and related hazards
  • Oceanographic and Atmospheric Processes
  • Amphibian and Reptile Biology
  • Impact of Light on Environment and Health
  • Atmospheric chemistry and aerosols
  • Plant Water Relations and Carbon Dynamics
  • Atmospheric aerosols and clouds
  • Atmospheric Ozone and Climate

National Oceanic and Atmospheric Administration
2017-2023

China Meteorological Administration
2023

NOAA Environmental Modeling Center
2017-2022

Stevens Institute of Technology
2022

NOAA National Centers for Environmental Prediction
2019

University of Connecticut
2017

Pennsylvania State University
2016

Ministry of Transport
2012

Abstract The Subseasonal Experiment (SubX) is a multimodel subseasonal prediction experiment designed around operational requirements with the goal of improving forecasts. Seven global models have produced 17 years retrospective (re)forecasts and more than year weekly real-time reforecasts forecasts are archived at Data Library International Research Institute for Climate Society, Columbia University, providing comprehensive database research on to seasonal predictability predictions. SubX...

10.1175/bams-d-18-0270.1 article EN Bulletin of the American Meteorological Society 2019-07-11

Abstract The Global Ensemble Forecast System (GEFS) is upgraded to version 12, in which the legacy Spectral Model (GSM) replaced by a model with new dynamical core—the Finite Volume Cubed-Sphere Dynamical Core (FV3). Extensive tests were performed determine optimal and ensemble configuration. GEFS has cubed-sphere grids horizontal resolution of about 25 km an increased size from 20 30. It extends forecast length 16 35 days support subseasonal forecasts. stochastic total tendency perturbation...

10.1175/waf-d-21-0112.1 article EN Weather and Forecasting 2022-03-28

China experienced a warm and dry climate in 2022. The average annual surface air temperature (SAT) was 10.51°C, which the second highest since 1961. rainfall 606.1 mm, lowest 2012. seasonal SAT broke record spring, summer, autumn, while winter slightly cooler. More observed but less summer autumn. During flood season from May to September, 11.9% than normal, third spatial distribution of anomalies exhibited wet/dry pattern north/south central eastern China. onset rainy generally earlier with...

10.1016/j.aosl.2023.100356 article EN cc-by-nc-nd Atmospheric and Oceanic Science Letters 2023-04-18

Abstract In order to provide ensemble‐based subseasonal (weeks 3 and 4) forecasts support the operational mission of Climate Prediction Center, National Centers for Environmental Prediction, experiments have been designed through Subseasonal Experiment (SubX) project investigate predictability in both tropical extratropical regions. The control experiment simply extends current Global Ensemble Forecast System (GEFS; version 11) from 16 35 days. addition control, parallel will be mainly focus...

10.1029/2018jd028506 article EN Journal of Geophysical Research Atmospheres 2018-06-09

Abstract The Global Ensemble Forecasting System (GEFS) is being extended from 16 to 35 days cover the subseasonal period, bridging weather and seasonal forecasts. In this study, impact of SST forcing on extended-range land-only global 2-m temperature, continental United States (CONUS) accumulated precipitation, MJO skill are explored with version 11 GEFS (GEFSv11) under various configurations. configurations consist 1) operational 90-day e-folding time observed real-time (RTG-SST) anomaly...

10.1175/waf-d-17-0093.1 article EN Weather and Forecasting 2017-11-09

Abstract The National Centers for Environmental Prediction have generated an 18-yr (1999–2016) subseasonal (weeks 3 and 4) reforecast to support the Climate Center’s operational mission. To create this reforecast, experiment version of GEFS was run every Wednesday, initialized at 0000 UTC with 11 members. Forecast System Reanalysis (CFSR) Global Data Assimilation (GDAS) served as initial analyses 1999–2010 2011–16, respectively. analysis 2-m temperature error demonstrates that model has a...

10.1175/waf-d-18-0100.1 article EN Weather and Forecasting 2018-12-05

Abstract A prognostic closure is introduced to, and evaluated in, NOAA’s Unified Forecast System. The addresses aspects that are not commonly represented in traditional cumulus convection parameterizations, it departs from the previous assumptions of a negligible subgrid area coverage statistical quasi-equilibrium at steady state, latter which becomes invalid higher resolution. new parameterization introduces evolution convective updraft fraction based on moisture budget, and, together with...

10.1175/mwr-d-22-0114.1 article EN Monthly Weather Review 2022-09-03

The study adopts the Copula function to evaluate index data and historical flood disaster simulation samples reduce subjectivity of evaluation results. A genetic algorithm is used calculate model parameters predict hazard levels. spatial processing technology geographic information system (GIS) employed extract analyze acquire indicators. comprehensive containing a maximum 1, 6, 24 h heavy rain, relative height difference, average gradient, drainage density established perform detailed...

10.1061/(asce)nh.1527-6996.0000598 article EN Natural Hazards Review 2022-10-31

Abstract The Global Ensemble Forecast System version 12 (GEFSv12) has been implemented into National Centers For Environmental Prediction operations since September 2020, which was uncoupled, but increased the horizontal resolution from 34 to 25 km, ensemble members 21 31, and extended forecasts 16 35 days. It significantly improved probabilistic forecast skills in many categories, such as precipitation, tropical storms, Madden‐Julian Oscillation (MJO), etc. improvements resulted aspects,...

10.1029/2022jd037757 article EN publisher-specific-oa Journal of Geophysical Research Atmospheres 2023-01-07

LPD’s (lighting power density) definition, calculation method, standard value, influence factors and ways to reduce it are talked in this article. The aim is take measures LPD properly. should be less than value while guaranteeing traffic safety, average uniformity road surface luminance. Then a lighting system of energy-saving built as soon possible.

10.4028/www.scientific.net/amm.178-181.1628 article EN Applied Mechanics and Materials 2012-05-01
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