手法を比較

	HYSPLIT	バルク空力フラックス	渦相関法
分野	気象学	気象学	気象学
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	1997	1981	1951
提唱者	Draxler and Hess	Large and Pond	Swinbank
種類	Trajectory and dispersion model	Surface flux estimation method	Micrometeorological flux measurement
原典	Draxler, R. R., & Hess, G. D. (1997). Description of the HYSPLIT_4 modeling system. NOAA Technical Memorandum ERL ARL-224.	Large, W. G., & Pond, S. (1981). Open ocean momentum flux measurements in moderate to strong winds. Journal of Physical Oceanography, 11(3), 324-336.	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.
別名	HYSPLIT, Hybrid Single-Particle, Lagrangian trajectory model	Bulk aerodynamic approach, Bulk flux parametrization, Aerodynamic bulk method	Eddy covariance, EC flux, Eddy correlation, Direct flux measurement
関連	3	3	3
概要	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.	The bulk aerodynamic method estimates surface energy and momentum fluxes from standard meteorological observations. Rather than measuring turbulent fluxes directly, it parameterizes them using measurements of wind speed, temperature, and moisture at a reference height (typically 10 m) and surface conditions, multiplied by empirically derived drag and transfer coefficients.	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.