Name
Title | ||
|---|---|---|
Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks. |
Abstract | ||
|---|---|---|
A common approach to sampling the space of a prediction is the generation of an ensemble of potential outcomes, where the ensemble's distribution reveals the statistical structure of the prediction space. For example, the US National Hurricane Center generates multiple day predictions for a storm's path, size, and wind speed, and then uses a Monte Carlo approach to sample this prediction into a la... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TVCG.2018.2865193 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Storms,Uncertainty,Visualization,Hurricanes,Tropical cyclones,Prediction algorithms,Predictive models | Glyph,Data mining,Monte Carlo method,Wind speed,Visualization,Computer science,Communication channel,Storm,Theoretical computer science,Sampling (statistics),Tropical cyclone | Journal |
Volume | Issue | ISSN |
25 | 1 | 1077-2626 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Le Liu | 1 | 2 | 0.37 |
| Lace M. K. Padilla | 2 | 35 | 5.40 |
| Sarah H. Creem-Regehr | 3 | 615 | 56.81 |
| Donald H. House | 4 | 513 | 55.27 |