Statistical Postprocessing of Different Variables for Airports in Spain Using Machine Learning
The results of a deterministic calibration for the nonhydrostatic convection-permitting LAM-EPS AEMET-γSREPS are shown. LAM-EPS AEMET-γSREPS is a multiboundary condition, multimodel ensemble forecast system developed for Spain. Machine learning tools are used to calibrate the members of the ensemble...
Saved in:
| Main Authors: | David Quintero Plaza, José Antonio García-Moya Zapata |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2019/3181037 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Postprocessing East African Rainfall Forecasts Using a Generative Machine Learning Model
by: Bobby Antonio, et al.
Published: (2025-03-01) -
Postprocessing of convection permitting precipitation forecast using UNets
by: Marcos Esquivel-González, et al.
Published: (2025-12-01) -
Results of aircraft positioning tests in postprocessing using the GNSS
by: Henryk JAFERNIK, et al.
Published: (2017-06-01) -
How do the resting EEG preprocessing states affect the outcomes of postprocessing?
by: Shiang Hu, et al.
Published: (2025-04-01) -
Postprocessing Method for Enhanced Left Ventricular Thrombus Detection in Echocardiography
by: Marina Leitman, et al.
Published: (2024-11-01)