مقایسهٔ روش‌ها

	شارش حجمی آیرودینامیکی	نظریه شباهت مونین-اوبوخوف	مدل WRF
حوزه	هواشناسی	هواشناسی	هواشناسی
خانواده	Process / pipeline	Process / pipeline	Process / pipeline
سال پیدایش	1981	1954	2000
پدیدآور	Large and Pond	Monin and Obukhov	Skamarock and Klemp
نوع	Surface flux estimation method	Similarity scaling framework	Atmospheric simulation system
منبع بنیادین	Large, W. G., & Pond, S. (1981). Open ocean momentum flux measurements in moderate to strong winds. Journal of Physical Oceanography, 11(3), 324-336.	Monin, A. S., & Obukhov, A. M. (1954). Basic laws of turbulent mixing in the ground layer of the atmosphere. Tr. Akad. Nauk SSSR, 24, 163-187.	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.
نام‌های دیگر	Bulk aerodynamic approach, Bulk flux parametrization, Aerodynamic bulk method	Monin-Obukhov, Similarity theory, Monin-Obukhov length scale	Weather Research and Forecasting, WRF, ARW, NMM
مرتبط	3	3	4
خلاصه	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.	Monin-Obukhov similarity theory is a fundamental framework in boundary layer meteorology that describes how wind speed, temperature, and humidity vary with height near the surface. Published in 1954, it shows that normalized vertical profiles depend on a single dimensionless parameter—the Monin-Obukhov stability parameter—which quantifies the balance between mechanical turbulence and buoyant convection.	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.