The HARMONIE–AROME Model Configuration in the ALADIN–HIRLAM NWP System

Author:

Bengtsson Lisa1,Andrae Ulf1,Aspelien Trygve2,Batrak Yurii2,Calvo Javier3,de Rooy Wim4,Gleeson Emily5,Hansen-Sass Bent6,Homleid Mariken2,Hortal Mariano3,Ivarsson Karl-Ivar1,Lenderink Geert4,Niemelä Sami7,Nielsen Kristian Pagh6,Onvlee Jeanette4,Rontu Laura7,Samuelsson Patrick1,Muñoz Daniel Santos3,Subias Alvaro3,Tijm Sander4,Toll Velle8,Yang Xiaohua6,Køltzow Morten Ødegaard2

Affiliation:

1. Swedish Meteorological and Hydrological Institute, Norrköping, Sweden

2. Norwegian Meteorological Institute, Oslo, Norway

3. Agencia Estadal de Meteorologia, Madrid, Spain

4. The Royal Netherlands Meteorological Institute, De Bilt, Netherlands

5. Met Éireann, Dublin, Ireland

6. Danish Meteorological Institute, Copenhagen, Denmark

7. Finnish Meteorological Institute, Helsinki, Finland

8. University of Tartu, Tartu, Estonia

Abstract

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 the model’s physical parameterizations. In this paper the authors present the differences in model 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.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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