Name
Title | ||
|---|---|---|
Statistical Correction of the Result of Weather Forecast by Applying the Model Output Calibration. |
Abstract | ||
|---|---|---|
This work describes the simulation models calibration method called Model Output Calibration. In order to verify its effectiveness, presents the application of the MOC in weather forecast correction generated by the Eta 15Km model at CPTEC/INPE. Eta is a regional model for numerical weather prediction. The results of the statistical correction of Eta forecast were positive, with satisfactory improvements in the variables tested (temperature and relative humidity). The use of this approach shows the possibility of gains in the results of simulation models of crops and diseases that use as predictive variables the variables generated by weather forecast models. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.entcs.2016.09.008 | Electr. Notes Theor. Comput. Sci. |
Keywords | Field | DocType |
Statistic correction,Weather forecast,MOC,Eta Model | Econometrics,Prognostic chart,Model output statistics,Global Forecast System,Predictive variables,Computer science,Relative humidity,Simulation modeling,Calibration,Numerical weather prediction | Journal |
Volume | Issue | ISSN |
324 | C | 1571-0661 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Amaral Hölbig | 1 | 5 | 2.31 |
| Vanessa Lago Machado | 2 | 0 | 0.34 |
| Willingthon Pavan | 3 | 1 | 2.41 |