Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Virspuļu kovariācija× | Modelis WRF× | |
|---|---|---|
| Nozare | Meteoroloģija | Meteoroloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1951 | 2000 |
| Autors≠ | Swinbank | Skamarock and Klemp |
| Tips≠ | Micrometeorological flux measurement | Atmospheric simulation system |
| Pirmavots≠ | 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 ↗ | 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 ↗ |
| Citi nosaukumi | Eddy covariance, EC flux, Eddy correlation, Direct flux measurement | Weather Research and Forecasting, WRF, ARW, NMM |
| Saistītās≠ | 3 | 4 |
| Kopsavilkums≠ | 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. | 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. |
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