Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/7320
The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System
Title: The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System
Authors: Bengtsson, LisaAndrae, UlfAspelien, TrygveBatrak, YuriiCalvo Sánchez, Francisco Javier ORCID RESEARCHERID Rooy, Wim deGleeson, EmilyHansen Sass, BentHomileid, MarikenHortal, MarianoIvarsson, Karl-IvanLenderink, GeertNiemelä, SamiNielsen, Kristian PaghOnvlee, JeanetteRontu, LauraSamuelsson, PatrickSantos Muñoz, DanielSubías Díaz-Blanco, Álvaro ORCID RESEARCHERID Tijm, AleksanderToll, VelleYang, XiaohuaØdegaard KØlgzow, Morten
Keywords: Mesoscale forecasting; Numerical weather prediction; Numerical weather forecasting
Issue Date: 2017
Publisher: American Meteorological Society
Citation: Monthly Weather Review. 2017, 145(5), p. 1919-1935
Publisher version: http://dx.doi.org/10.1175/MWR-D-16-0417.1
Abstract: The aim of this article is to describe 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. It is developed, maintained, and validated as part of the shared ALADIN–HIRLAM system by a collaboration of 26 countries in Europe and northern Africa on short-range mesoscale NWP. HARMONIE–AROME is based on the model AROME developed within the ALADIN consortium. Along with the joint modeling framework, AROME was implemented and utilized in both northern and southern European conditions by the above listed countries, and this activity has led to extensive updates to themodel’s physical parameterizations. In this paper the authors present the differences inmodel dynamics and physical parameterizations compared with AROME, as well as important configuration choices of the reference, such as lateral boundary conditions, model levels, horizontal resolution, model time step, as well as topography, physiography, and aerosol databases used. Separate documentation will be provided for the atmospheric and surface data-assimilation algorithms and observation types used, as well as a separate description of the ensemble prediction system based on HARMONIE–AROME, which is called HarmonEPS.
URI: http://hdl.handle.net/20.500.11765/7320
ISSN: 1520-0477
0003-0007
Appears in Collections:Artículos científicos 2015-2018


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