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WRF模型×涡动相关法×HYSPLIT×
领域气象学气象学气象学
方法族Process / pipelineProcess / pipelineProcess / pipeline
起源年份200019511997
提出者Skamarock and KlempSwinbankDraxler and Hess
类型Atmospheric simulation systemMicrometeorological flux measurementTrajectory and dispersion model
开创性文献Skamarock, W. C., Klemp, J. B., Dudhia, J., et al. (2008). A Description of the Advanced Research WRF Version 3. NCAR Technical Note NCAR/TN-475+STR. link ↗Baldocchi, D. (2003). Assessing the eddy covariance technique for evaluating carbon dioxide fluxes of ecosystems: past, present and future. Global Change Biology, 9(4), 479-492. DOI ↗Draxler, R. R., & Hess, G. D. (1997). Description of the HYSPLIT_4 modeling system. NOAA Technical Memorandum ERL ARL-224. link ↗
别名Weather Research and Forecasting, WRF, ARW, NMMEddy covariance, EC flux, Eddy correlation, Direct flux measurementHYSPLIT, Hybrid Single-Particle, Lagrangian trajectory model
相关433
摘要The Weather Research and Forecasting (WRF) model is a mesoscale atmospheric simulation system used for weather forecasting, research, and climate applications. Developed cooperatively by NCAR, NOAA, and academic institutions, WRF became operational in 2004 and has become one of the most widely used atmospheric models worldwide.The eddy covariance method is a direct, micrometeorological technique that measures turbulent fluxes of momentum, heat, water vapor, and CO2 by computing the covariance between high-frequency fluctuations of wind velocity and scalar properties (temperature, humidity, concentration). It is the gold standard for measuring ecosystem-atmosphere exchanges and validating model parameterizations.HYSPLIT (Hybrid Single-Particle Lagrangian Integrated Trajectory Model) is a widely used atmospheric transport and dispersion model developed by NOAA's Air Resources Laboratory. It computes air parcel trajectories and pollutant dispersion using Lagrangian tracking to simulate how contaminants and particles move through the atmosphere over hours to weeks.
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ScholarGate方法对比: WRF Model · Eddy Covariance · HYSPLIT. 于 2026-06-20 检索自 https://scholargate.app/zh/compare