The joint 27th ALADIN Wk & HIRLAM ASM 2017 will be held on the premises of the Finnish Meteorological Institute in Helsinki during the first week of April 2017 :
After the request of the ALADIN General Assembly, some leaflets (flyers) were prepared. The first page is common to all Partners and the 2nd page can be personalized for each Partner. Click on the above pictures or download the pdf versions.
Some flyers are under preparation for other Partners.
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.
25 years later, as defined in the 5th 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 plugging 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.
Joint 27th ALADIN Workshop & HIRLAM All Staff Meeting 2017, 3-7 April 2017, Helsinki, Finland
The joint 27th ALADIN Wk & HIRLAM ASM 2017 will be held on the premises of the Finnish Meteorological Institute in Helsinki during the first week of April 2017 : 3-6 April :joint Wk& ASM, (...)
The governance and the management of the ALADIN Consortium is defined by the 5th MoU and by the 21st General Assembly at the end of 2016 (see also history of chair persons).
Please consult the complete MoU5 document for details.
For a quick view : the Members map the matrix schematically (...)
After the request of the ALADIN General Assembly, some leaflets (flyers) were prepared. The first page is common to all Partners and the 2nd page can be personalized for each Partner.
Below are the leaflets prepared for Croatia, Czech Republic and France. Other leaflets are on-going. (...)
This template is proposed for the ALADIN presentations. It was first used at the 21st ALADIN GA (see for instance the Tour d’ALADIN).
In order to keep it update, the Local Team Managers should make sure to let Patricia know about any changes in the name or logo of their (...)
(updated on January 20, 2017)
Within ALADIN and HIRLAM Consortia, the ALADIN, ALARO or AROME configurations run operationally on a wide range of computers, from single workstations to vectorial computers in shared or distributed memory, and on a cluster of workstations under Linux. 46 (...)
The joint 27th ALADIN Wk & HIRLAM ASM 2017 will be held on the premises of the Finnish Meteorological Institute in Helsinki (see How to find FMI) during the first week of April 2017 : 3-6 April :joint Wk& ASM, 7 April : HMG/CSSI meeting.
Some side meetings will also take place during (...)
OFFICE NATIONAL DE LA METEOROLOGIE 1 AVENUE KHEMISTI B.P. 153 Dar El Beida ALGER ALGERIA [ GMT +1 ] www.meteo.dz PHOTO - SURNAME - firstname - TELEPHONE - TELECOPY - e-mail MTO_ALGER
SWITCHBOARD 213 21 50 77 93
ABDENOUR AMBAR 213 21 50 77 93 ext 312 213 21 75 33 33 (...)
|Soil temperature and water content||Optimum interpolation based on screen-level analysis increments of T and RH||2-dimensional (vertical and temporal) variational technique using 2-m temperature analyses at 12 and 15 UTC
Analysed variables : soil moisture of the top 5 soil layers (0-81 cm) at 00 UTC
|Optimum interpolation based on screen-level analysis increments of T and RH||Errors in forecasts of screen T and RH used to calculate increments to soil moisture. NAE and M4 use UKPP over UK and interpolated global SMC elsewhere
Level 1 T atmospheric increments applied to top soil level in absence of snow
|EKF for soil moisture and OI for soil/snow temperatures based on screen-level analysis increments of T and RH|
|Sea surface temperature||Optimum interpolation using surface observations with a relaxation towards OSTIA SST analysis||Correction method. Background field from GME SST analysis using NCEP 0.5°x0.5° SST analysis that includes satellite data. Observations from SYNOP-SHIP and BUOY.||OI (HIRLAM) - interpolation from OSTIA (HARMONIE)||Interpolated from OSTIA analysis||Aggregation of OSTIA SST products based on surface observations and satellite products|
|Sea-ice extent||Derived from sea-ice concentration (used only to update sea-ice temperature)||Sea ice cover analysis from BSH (German Institute for shipping and hydrology) for the Baltic sea. Resolution lon/lat : 0.167x0.1 degrees, NCEP analysis in other areas||Taken from OSISAF||Interpolated from OSTIA analysis||Aggregation of OSTIA and NCEP sea-ice products which are the OSI-SAF products (from SSM/I data)|
|Sea-ice temperature||From BSH and NECP analyses||Interpolated from ECMWF analyses|
|Snow depth||Background values with relaxation towards climatology from the global model ARPEGE||Correction method. Used data : background values from COSMO model, snow depth observations from SYNOP stations, present and past SYNOP weather, precipitation amount, 2-m temperature analysis (+model prediction). Monthly snow depth, climatology from ECMWF for permanently glacial covered areas||OI based on in-situ measurements||Model values corrected using IMS mask and use of background info||OI analysis using surface observations (SYNOP+national networks)+ use of 4km NOAA/NESDIS snow cover extent to correct snow depth observations|
|Lake||Closest point from SST analysis (using NCEP 0.5° for large lakes)||Flake values from last forecast||FLake + OI from LST observations (Finland, SYKE)||Climatology or nearest SST||Great lakes : interpolation of the NCEP SST products. Other lakes: SST derived from T2m climatology from Legates and Wilmott (1990)|
|Vegetation||None||None||None||Seasonal LAI climatology derived from MODIS data||LAI climatology derived from MODIS data|
This list has been created in order to keep in touch (...)
(updated on January 20, 2017)
Within ALADIN and HIRLAM Consortia, the (...)