ALADIN
High Resolution Numerical Weather Prediction Project
Website of the ALADIN Consortium

The concept of the ALADIN project was proposed by Météo-France in 1990, with the aim of building a mutually beneficial collaboration with the National Meteorological Services of Central and Eastern Europe. This collaboration was to be in the field of Numerical Weather Prediction (NWP), which provides the basis for the forecasting tools of modern meteorology. The easy to translate acronym (Aire Limitée Adaptation dynamique Développement InterNational) clearly indicates the major axes of this project at its beginnings.

20 years later, as defined in the 4th Memorandum of Understanding,

The goal of the ALADIN Collaboration is to improve the value of the meteorological, hydrological and environmental warning and forecast services delivered by all Members to their users, through the operational implementation of a NWP system capable of resolving horizontal scales from the meso-beta to the meso-gamma scale and improving the prediction of severe weather phenomena such as heavy precipitation, intensive convection and strong winds.

This objective will be fulfilled through continuation and expansion of the activities of the ALADIN Consortium in the field of High Resolution Short Range Weather Forecast, including:

  • Maintenance of an ALADIN System (...);
  • Joint research and development activities, on the basis of the common Strategic Plan and related Work Plans, with the aim of maintaining the ALADIN System at scientific and technical state of the art level within the NWP community;
  • Sharing scientific results, numerical codes, operational environments, related expertise and know-how, as necessary for all ALADIN Consortium members to conduct operational and research activities with the same tools.

About one hundred scientists, from sixteen countries, each with its own specificity in resources and knowledge base, are permanently contributing to the progress of ALADIN NWP system. They are working together on a modern code of the atmosphere that definitely deserves its proper place between the European state-of-the-art NWP models: 80 Full-Time Equivalent persons in the last years of the project’s life. This code is now operated every day in fifteen Euro-Mediterranean countries, on a huge variety of computing platforms ranging from a PC Cluster under Linux to Vector Computers.

ALADIN consortium had a number of unique successes in the past : for instance, the pluging of an existing physics parameterization in the existing code, leading to the AROME model; ALADIN is at the forefront of the gray-zone problematics with the ALARO physics; ALADIN dynamical core is remarkably stable; ...

ALADIN also allowed to build a high-level scientific team, distributed in sixteen countries that managed to reach the level of the best research centres, as witnessed by the PhD theses and publications in international journals. The General Assembly of Partners, the workshops, the meetings, the newsletters regularly offer opportunity of various exchanges within the ALADIN community.

ALADIN is preparing for the serious evolutions expected within the NWP landscape in the coming five to ten years. There is the ever-lasting question where to draw the line between resolved vs. parameterized processes. There is the question of the efficiency and the scalability of ALADIN dynamical core. There are the external drivers, such as the demands of the end users, and the evolution of the high-performance computing machines. Additionally a serious reorganization of the code is now at hand, in particular within the OOPS project. Besides that, the international meteorological context is steadily changing, specifically with the merger of the ALADIN and the HIRLAM consortia.

Section : (General) Assembly of ALADIN Partners

For the first time, the ALADIN General Assembly and the HIRLAM Council will held a joint meeting.

Taking advantage of the opportunity of many of their Directors gathering in Reading for the ECMWF Council next December 3 – 4, 2014, ALADIN and HIRLAM consortia will organise some internal (...)


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Section : Workshops and Scientific Management Meetings

The ALADIN Committee for Scientific and System/maintenance Issues (CSSI) and Support Team (ST) members meet at least once a year.

A coordination meeting with HIRLAM Management Group (MG) takes place in spring besides the annual joined ALADIN workshop & HIRLAM All Staff Meeting; another (...)


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Section : Governance
The governance and the management of the ALADIN Consortium is defined by the 4th MoU and by the 18th General Assembly in 2013 (see also history of chair persons) : General Assembly Chairperson : Abdalah Mokssit (Ma), elected in November 2013 Vice-Chairperson : Martin Benko (Sk), elected in (...)
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Section : Policy Advisory Committee (PAC) and "Bureau" meetings
Group photo of the 1<sup class=st Joint HAC/PAC" title="Group photo of the 1st Joint HAC/PAC" />
Since the 3rd MoU (November 2005), the governance of the ALADIN project is under the responsability of the General Assembly (GA) who designs the Policy Advisory Committee (PAC). The PAC meets before each GA [4] : the Minutes of the PAC meeting are one of the preparatory documents of the GA. See (...)
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Section : Documentation on cycles and coordination meetings
memorandum of Common cycle 41, July 2014 memorandum of IFS cycle 40R3, July 2014 memorandum of ARPEGE cycle 40T1, April 2014 memorandum of IFS cycle 40R2, March 2014 memorandum of IFS cycle 40R1, August 2013 memorandum of Common cycle 40, July 2013 memorandum of IFS cycle 39R1, July 2013 (...)
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Section : ALADIN annual workshops (joint with HIRLAM ASM from 2007)
WK24: Participants
The National Meteorological Administration of Romania will host the 24th ALADIN workshop / HIRLAM All-Staff Meeting 2014 (07-10 April 2014) and HMG/CSSI meeting (11 April 2014), in Bucharest. Practical information on the local organiser webpage WK24: Participants Agenda and list of (...)
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Section : Internal contacts
List of ALADIN Directors or usual representatives to the General Assembly, updated on August 21, 2014 COUNTRYNMSFORENAMEFAMILY NAMEEMAIL ALGERIA ONM Brahim IHADADENE b.ihadadene@meteo.dz AUSTRIA ZAMG Michael STAUDINGER michael.staudinger@zamg.ac.at with copy to wang@zamg.ac.at BELGIUM RMI (...)
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Section : Documentation on cycles and coordination meetings
IFS/ARPEGE coordination meeting, Reading, June 15, 2015 IFS/ARPEGE coordination video-conf, February ??, 2015 (date to be discussed later) Minutes of IFS/ARPEGE coordination video-conf, November 13, 2014 Minutes of IFS/ARPEGE coordination meeting, Toulouse, June 2, 2014 Minutes of IFS/ARPEGE (...)
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Section : Newsletters
ALADIN-HIRLAM Newsletter : number 2
During the HMG/CSSI meeting in April 2013, ALADIN and HIRLAM consortia decided to join their effort and produce a commun newsletter, twice a year. NewsletterEditoDownload N°4, due in March 2015 N°3, published on 26-09-2014 The third edition of the combined Newsletter of the HIRLAM and ALADIN (...)
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Section : ALADIN People : who, where, how to contact

When planning your next visit to Toulouse/CNRM/GMAP, please pay attention to French public holidays and Meteo-France closing days (RTTi) !..

From January 1st, 2014, for security reasons, the access to GMAP offices is only allowed between 7:00 and 21:00 on working days. On Saturdays and on (...)


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Section : ALADIN People : who, where, how to contact
Here are a few information for future or present visitors in Toulouse : Useful links : Public transport : Schedules of the Toulouse buses About Toulouse (official page of "Mairie de Toulouse") How to reach Météo-France http://www.meteo.fr/cic/meetings/venue.html Computer resources : for computer (...)
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Section : OOPS
Technical video-conference : meeting number 3 towards CY42 : January 22, 2015 Technical video-conference : meeting number 2 towards CY42 : October 16, 2014 Technical video-conference : meeting number 1 towards CY42 : August 26, 2014 OOPS Steering Committee : June 3, 2014 in Toulouse Technical (...)
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Modelling components (current status)
Article published on 3 July 2009
by JFM

modelling component ALADIN COSMO HIRLAM UM/JULES ECMWF
surface energy balance Tile approach with separate energy budgets (sea/inland water/nature). One single surface temperature for the "nature" tile (bare soil/vegetation/snow) Surface temperature is area weighted average of temperature of snow covered and snow free surface fraction A tiled scheme with 5 tiles : water (sea+lakes), sea-ice, bare soil, low vegetation and forest (HIRLAM) ; Tile approach with sea/inland water/nature/town (HARMONIE) Tile scheme with 9 surfaces, or one aggregated surface. 9 tiles include 5 vegetation types, bare soil, urban, lakes and ice Tile approach with separate temperature and energy budget for each. Up to 8 tiles : 2 vegetations (low and high), 3 snow/ice (on bare soil, low and high vegetation), 2 water (ocean/lakes and interception)
coupling with the atmosphere Implicit (external) Explicit Explicit (HIRLAM) Implicit (HARMONIE) Implicit Implicit (internal)
Soil transfers 3-layer force-restore method ISBA scheme : 1st layer 1 cm / 2nd layer root zone (between 1 and 3 m) / 3rd layer recharge zone (between 0.5 and 1 m) 7-layer soil model. Layer depths between 1 cm and 14.58 m. Solution of the heat conduction equation Force-restore formulation ISBA (HIRLAM) 3-layer ISBA scheme (HARMONIE) 4 layer diffusion equation model for heat and Darcian flow for moisture 4-layer scheme (bottom depth : 7, 28, 100, 289 cm), based on Richards equation for soil water and diffusion equation for heat
Frozen soils 2 soil ice reservoirs (surface+deep) Temperature and soil type dependent computation of fractional freezing/melting of total soil water content in 6 active soil layers Explicit soil ice (HIRLAM) 2 soil ice reservoirs (HARMONIE) 4 layer scheme with phase changes Diagnostic function of temperature. Influences the hydraulic parameters
Vegetation One layer – Canopy resistance formulation for transpiration (Jarvis type) – interception reservoir One layer – Evapotranspiration after Dickinson (1984) – interception reservoir Surface resistance of Jarvis type. Intercepted water One layer – Canopy resistance formulation for transpiration (Jarvis type) – interception reservoir One layer – Canopy resistance formulation for transpiration (Jarvis type) and ISBA-Ags formulation for carbon fluxes – interception reservoir. Separate energy balance for each tile
Snow model One layer – prognostic variables : snow water equivalent, snow density, snow albedo One layer - prognostic variables : snow temperature, snow water equivalent, snow density, snow albedo Separate energy balance for snow pack and snow interception reservoir (HIRLAM) one layer no separate every budget (HARMONIE) Zero layer (uses top soil layer) – snow depth, albedo interception on needleleaf trees One layer – prognostic variable : snow water equivalent, snow albedo. Revised snow density and diagnostic liquid water storage
Lake model Prescribed surface temperature (analysis) FLake FLake (HIRLAM) and prescribed LST (HARMONIE) Saturated soil or high thermal inertia Prescribed surface temperature (analysis)
Sea-ice Prescribed surface temperature (analysis) Sea-ice model Fraction from analysis only, 2 layer ice model with prescribed depth (HIRLAM) no sea model (HARMONIE) Single layer thermodynamic model Fixed depth 4-layer model
Ocean model Prescribed surface temperature (analysis) – Charnock formulation for roughness – ECUME transfer coefficients Prescribed surface temperature (analysis) – Charnock formulation for roughness length None Prescribed surface temperature (analysis) – Adapted Charnock formulation for roughness length Prescribed surface temperature (analysis)
Urban areas Modified surface roughness, albedo, emissivity (rocks) Modified surface roughness, leaf area index, plant coverage Modified surface parameters (HIRLAM) and TEB model (HARMONIE) High inertia canopy None
Chemistry module None ART optional None None None
Surface boundary layer 5-layer scheme solving turbulent prognostic equations without advection Application of the turbulence scheme at the lower boundary and interative interpolation.
Roughness length for scalars implicitly considered by calculation of an additional transport resistance throughout the turbulent and laminar roughness layer
Monin-Obukhov similarity theory (HIRLAM) CANOPY scheme (HARMONIE) Monin-Obukhov similarity theory – explicit formulation of vertical profile Monin-Obukhov theory

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