Name
Abstract | ||
|---|---|---|
This study aims at improving the assimilation of scatterometer wind observations in global Numerical Weather Prediction (NWP) model by refining the background quality control and optimizing the observation sampling strategy. To improve the background quality control, different Huber Norm distribution implementations are tested and compared against the current “Gaussian plus flat” distribution. Sen... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2017.2691011 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Radar measurements,Wind forecasting,Satellites,Atmospheric modeling,Quality control | Meteorology,Satellite,Remote sensing,Scatterometer,Atmospheric model,Gaussian,Sampling (statistics),Standard deviation,Mathematics,Tropical cyclone,Numerical weather prediction | Journal |
Volume | Issue | ISSN |
10 | 5 | 1939-1404 |
Citations | PageRank | References |
1 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanna De Chiara | 1 | 4 | 1.49 |
| Massimo Bonavita | 2 | 1 | 0.68 |
| S. J. English | 3 | 38 | 10.40 |