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http://hdl.handle.net/20.500.11765/18240
EUMETNET SRNWP-EPS EFI/SOT Software: From Research to Operations in AEMET-γSREPS
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| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.contributor.author | Montolio Llenas, Joan | es_ES |
| dc.contributor.author | Callado Pallarés, Alfons | es_ES |
| dc.contributor.author | Gómez Navarro, Juan José | es_ES |
| dc.date.accessioned | 2026-08-14T08:58:32Z | - |
| dc.date.available | 2026-08-14T08:58:32Z | - |
| dc.date.issued | 2026 | - |
| dc.identifier.citation | Journal of operational meteorology. 2026, 14 (16), p. 248-262 | es_ES |
| dc.identifier.issn | 2325-6184 | - |
| dc.identifier.issn | 2325-6184 | - |
| dc.identifier.issn | 9063-0785 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11765/18240 | - |
| dc.description.abstract | The EUMETNET Short Range Numerical Weather Prediction - Ensemble Prediction System (SRNWP-EPS) EFI/SOT software is a result from the EUMETNET SRNWP-EPS 2019 to 2023 project. It computes the Extreme Forecast Index (EFI) and Shift of Tails index (SOT) for the different EUMETNET Member States Limited Area Modelling - Ensemble Prediction Systems (LAM-EPS). The software, implemented in Python 3, has been developed from scratch within a multiprocessor Linux environment: the European Centre for Medium-Range Weather Forecasts (ECMWF) ATOS High Performance Computer Facility (HPCF). The software has been developed testing on EFI and SOT indices for a wide variety of meteorological variables such as accumulated precipitation (AccPcp), accumulated snow (AccSnw), 2 m maximum and minimum temperature (T2mMax and T2mMin) and 10 m maximum wind gust (G10m). In order to overcome the computational limitations derived from LAM-EPSs in terms of constructing a large and robust EPS-climatology through an expensive re-forecast with the last LAM-EPS version, the software follows methods from Météo-France that consists of temporal and spatial relaxation techniques that include neighboring data in space and time to enrich the small available dataset used to construct the EPS-climatology. Additionally, the software introduces a land-sea mask that aims at applying physically-based restrictions to the grid points included by the spatial relaxation methods. Specific extreme weather events have been selected to showcase the software with some EUMETNET Member States LAM-EPSs. Moreover, an already operational implementation of the EUMETNET SRNWP-EPS EFI/SOT software is showcased in AEMET-γSREPS, the LAM-EPS developed and operationally run at AEMET, the Spanish Meteorological Agency. The software provides products similar to the ones from the European Centre for Medium-Range Weather Forecasts Ensemble (ECMWF ENS), and are currently available for AEMET forecasting offices. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | National Weather Association | es_ES |
| dc.rights | Licencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-ND | es_ES |
| dc.subject | Ensemble forecasting | es_ES |
| dc.subject | Extreme Forecast Index | es_ES |
| dc.subject | Numerical weather prediction | es_ES |
| dc.title | EUMETNET SRNWP-EPS EFI/SOT Software: From Research to Operations in AEMET-γSREPS | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publisherversion | https://doi.org/10.15191/nwajom.2026.1416 | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| Colecciones: | Artículos científicos 2023-2026 | |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| 2026-JOM16.pdf | 3,16 MB | Adobe PDF | ![]() Visualizar/Abrir |
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