Porównaj metody

	Model WRF	Aerodynamiczny strumień masowy	Kowariancja wirowa
Dziedzina	Meteorologia	Meteorologia	Meteorologia
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	2000	1981	1951
Twórca	Skamarock and Klemp	Large and Pond	Swinbank
Typ	Atmospheric simulation system	Surface flux estimation method	Micrometeorological flux measurement
Źródło pierwotne	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.	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.
Inne nazwy	Weather Research and Forecasting, WRF, ARW, NMM	Bulk aerodynamic approach, Bulk flux parametrization, Aerodynamic bulk method	Eddy covariance, EC flux, Eddy correlation, Direct flux measurement
Pokrewne	4	3	3
Podsumowanie	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 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.