M
Mariano Hortal
Researcher at Agencia Estatal de Meteorología
Publications - 13
Citations - 1184
Mariano Hortal is an academic researcher from Agencia Estatal de Meteorología. The author has contributed to research in topics: Gaussian grid & Numerical weather prediction. The author has an hindex of 10, co-authored 13 publications receiving 1058 citations. Previous affiliations of Mariano Hortal include European Centre for Medium-Range Weather Forecasts.
Papers
More filters
Journal ArticleDOI
The HARMONIE-AROME Model Configuration in the ALADIN-HIRLAM NWP System
Lisa Bengtsson,Ulf Andrae,Trygve Aspelien,Yurii Batrak,Javier Calvo,Wim C. de Rooy,Emily Gleeson,Bent Hansen-Sass,Mariken Homleid,Mariano Hortal,Karl-Ivar Ivarsson,Geert Lenderink,Sami Niemelä,Kristian Pagh Nielsen,Jeanette Onvlee,Laura Rontu,Patrick Samuelsson,Daniel Santos Muñoz,Alvaro Subias,Sander Tijm,Velle Toll,Xiaohua Yang,Morten Køltzow +22 more
TL;DR: In this paper, the reference configuration of the convection-permitting numerical weather prediction (NWP) model HARMONIE-AROME, which is used for operational short-range weather forecasts in Denmark, Estonia, Finland, Iceland, Ireland, Lithuania, the Netherlands, Norway, Spain, and Sweden, is described.
Journal ArticleDOI
Implementation of the Semi-Lagrangian Method in a High-Resolution Version of the ECMWF Forecast Model
Harold Ritchie,Clive Temperton,Adrian Simmons,Mariano Hortal,Terry Davies,David Dent,Mats Hamrud +6 more
TL;DR: In this paper, the semi-Lagrangian method was applied to a high-resolution version of the ECMWF forecast model and its performance was evaluated on a set of 12 independent cases.
Journal ArticleDOI
Use of Reduced Gaussian Grids in Spectral Models
Mariano Hortal,Adrian Simmons +1 more
TL;DR: In this paper, the authors presented an integration of spectral models in which the Gaussian grid of points at which the nonlinear terms are evaluated is reduced as the poles are approached.
Journal ArticleDOI
The development and testing of a new two‐time‐level semi‐Lagrangian scheme (SETTLS) in the ECMWF forecast model
TL;DR: In this article, a new treatment of the two-time-level semi-Lagrangian scheme is presented which avoids extrapolation in time of the velocities used for the computation of the trajectories and for the nonlinear terms of the evolution equations.
Journal ArticleDOI
A two-time-level semi-Lagrangian global spectral model
TL;DR: In this article, a two-time-level semi-Lagrangian global spectral model was proposed for the European Centre for Medium-Range Weather Forecasts (ECMWF).