台灣即時與極短期暴雨強風預報技術之建立與應用－子計畫:改善WRF系 集卡爾曼濾波器雷達資料同化系統及其對極短期豪大雨預報影響(II)

Keyphrases

1. Radar Data Assimilation 100%
2. Taiwan 83%
3. Data Assimilation Method 83%
4. Convective-scale 66%
5. Extreme Rainfall Events 66%
6. Sampling Error 66%
7. Local Ensemble Transform Kalman Filter (LETKF) 44%
8. Heavy Rainfall 44%
9. Heavy Rainfall Prediction 33%
10. Mei-yu Fronts 33%
11. Short-term Heavy Rainfall 33%
12. Environmental Perturbations 33%
13. Rainfall Nowcasting 33%
14. Precipitation Prediction 33%
15. Radial Wind 22%
16. Ensemble-based Data Assimilation 22%
17. Rainfall Forecast 16%
18. GPS ZTD 16%
19. Ensemble Spread 16%
20. Model Errors 16%
21. Unknown Error 16%
22. Stochastic multi-scale 16%
23. Short-term Rainfall Prediction 16%
24. First Year 16%
25. Model Physics 16%
26. Scale Factor Error 16%
27. Complex Terrain 16%
28. Moisture 16%
29. Strong Convection 16%
30. Rainfall Prediction 16%
31. Challenging Issues 16%
32. Satellite Products 16%
33. Moisture Field 16%
34. Temperature Profile 16%
35. Physical Parameterization 16%
36. Moisture Profile 16%
37. Wind Power Project 11%
38. Convection 11%
39. Background Error Covariance 11%
40. Observation Error 11%
41. Ensemble Size 11%
42. Thermodynamical 11%
43. Prediction Method 11%
44. Wind Measurement 11%
45. Prevailing Wind 11%
46. Reflectivity 11%
47. Assimilation System 11%
48. Moisture Condition 11%
49. Vertical Localization 11%

Earth and Planetary Sciences

1. Radar Data 100%
2. Data Assimilation 100%
3. Taiwan 83%
4. Nowcasting 33%
5. Kalman Filter 33%
6. Reflectance 22%
7. Wind Measurement 22%
8. Inflating 22%
9. Covariance 22%
10. Complex Terrain 16%
11. Global Positioning System 16%
12. Timescale 16%