Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Empīriskā ortogonālā telekomunikācija× | Modelis WRF× | |
|---|---|---|
| Nozare | Meteoroloģija | Meteoroloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1956 | 2000 |
| Autors≠ | Lorenz, Wallace | Skamarock and Klemp |
| Tips≠ | Data analysis and pattern identification | Atmospheric simulation system |
| Pirmavots≠ | Wallace, J. M., & Gutzler, D. S. (1981). Teleconnections in the geopotential height field during the Northern Hemisphere winter. Monthly Weather Review, 109(4), 784-812. 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 | EOF analysis, Empirical orthogonal function, Teleconnection patterns, PCA meteorology | Weather Research and Forecasting, WRF, ARW, NMM |
| Saistītās≠ | 2 | 4 |
| Kopsavilkums≠ | Empirical orthogonal function (EOF) analysis is a statistical technique that identifies dominant spatial patterns and temporal variability in atmospheric or oceanic data. When applied to geographically distant locations, EOF analysis reveals teleconnection patterns—coherent patterns of variability that link weather systems across ocean basins and continents. | 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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