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