Meteo forcing configuration

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• To generate meteo forcing from 01/01/2014 to 05/01/2014, run treatment meteo:

launch_mangae config_mangae.cfg -s 2014-01-01,00:00 -e 2014-01-05,00:00 --only meteo

Output file: ./inputs/MANGAE2500-r1630/meteo/mangae_meteo.nc, be careful for size with arome : 1,5Go for only 5 days !

• Configuration is precised in configuration file config_mangae.cfg, Section meteo

#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
# Section meteo
# Préparation des forçages météorologiques
# Entrées disponibles :
#     depend       : liste contenant les noms des traitements dont dépend le traitement courant, liste vide si aucune dépendance
#     description  : description du traitement (récupéré via l'option --list du script launcher.py)
#     name         : nom du job soumis sur le calculateur (!!!! ne pas dépasser 15 caractères !!!)
#     launch       : procédure de lancement associée
#     function     : fonction de préparation des données météorologiques (�|  choisir parmi 'prepare' ,'combine' ou 'fusion')
#     startshift   : optionnel, réél indiquant le décalage en jours du début du traitement par rapport �|  la date de démarrage de référence
#     lon_to_ni    : optionnel, logique permettant d'activer le renommage des dimensions (considéré comme False si absent)
# Sous-sections :
#     arguments    : sous-section contenant les arguments optionnels de la fonction 'function'
#++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
[[meteo]]
  depend = []
  description = 'Preparation of meteorological forcings for ranks 0 & 1'
  name = 'mang25_meteo'
  launch = 'tools.meteo.launch_meteo'
  lon_to_ni = False
  startshift = -1.0
  function = 'prepare'
  [[[arguments]]]
    model = 'arpegeHR'
    lonmin = -21
    lonmax = 16
    latmin = 39
    latmax = 66
    out = 'mangae_meteo.nc'

• starshift: optional, shift in days from start date (in the example, output will start from 31/12/2013 instead of 01/01/2014)

• function: function of preparation of meteorological data, choose between prepare combine fusion

  • prepare: standard preparation of meteorological data (model meteo precised in model)

  • combine: processing of meteorological data using temporal combination of different models (precised in models)

  • fusion: processing of meteorological data using spatial and temporal fusion of different data set (precised in models)

For more details on meteorological data preparation, refer to detailed documentation (https://forge.ifremer.fr/svn/previmerchainop/trunk/documentation/) Dossier de spécifications 3.1.2 Préparation des données météorologiques.

• If you chose different models (for function ‘combine’ or ‘fusion’)

#function = 'prepare'
function='combine'
[[[arguments]]]
  #model = 'arpegeHR'
  models=['arome','arpegeHR']

• To take into account atmospheric fluxes, add flux=True:

[[[arguments]]]
  model = 'arpegeHR'
  flux = True

• In case of generation of very big files, the job on Caparmor can have not enough memory; in this case add in the configuration file memory=’22Gb’ just after the function name:

function='prepare'
memory='22Gb'
[[[arguments]]]
  model='arpegeHR'

• Option : you can select the variables you want in your output file (think of the output size !). Otherwise, all available variables will be in your output file.

function = 'prepare'
[[[arguments]]]
  model = 'arpegeHR'
  variables = ['pmer','u10m','v10m']

• For variables you can choose between:

  • ‘u10m’: eastward wind (Composante U du vent horizontal)

  • ‘v10m’: northward wind (Composante V du vent horizontal)

  • ‘rh’: relative humidity (Humidite relative fraction a 2m)

  • ‘t2m’: temperature

  • ‘fcc’: cloud area fraction (Nebulosite totale fraction)

  • ‘pmer’: air pressure at sea level (Pression)

  • ‘ustress’: surface downward eastward stress (Composante zonale du vecteur de stress en surface)

  • ‘vstress’: surface downward northward stress (Composante meridienne du vecteur de stress en surface)

• For meteorological model, you can choose between:

  • ‘aladin’

  • ‘arpege’

  • ‘arpegeHR’

  • ‘arome_v1’

  • ‘arome’

  • ‘cep’

  • ‘cep_europe’

  • ‘cep_europe_v2’

Model name and parameter		Resolution		Extension (°)	Start date	End date	Variables
Aladin	aladin	3h	0.1°	-11 14 35 55	1997-07-03	2012-03-29	u10m v10m rh t2m fcc pmer
Arpege	arpege	6h	0.5°	-20 37 30 65	2006-03-20	2013-12-07	u10m v10m rh t2m fcc pmer
Arpege HR	arpegeHR	1h	0.1°	-32 37 30 66.5	2011-11-24	now	u10m v10m rh t2m fcc pmer
Arome V1	arome_v1	1h	0.025°	-6 10.5 41 51.5	2008-12-18	2011-10-12	u10m v10m rh t2m fcc pmer
Arome V2	arome	1h	0.025°	-8 12 38 53	2011-10-12	now	u10m v10m rh t2m fcc pmer
CEP V1		6h	0.5°	-180 180 -88 88	2009-05-14	2013-02-09	u10m v10m
CEP V2	cep	3h	0.125	-180 179.875 -88 88	2012-02-13	now	u10m v10m
CEP Europe V1	cep_europe	6h	0.5°	-20 37 30 56	2010-02-11	2013-02-09	u10m v10m rh t2m fcc
CEP Europe V2	cep_europe_v2	3h	0.125°	-20 37 30 65	2012-02-13	now	u10m v10m rh t2m fcc pmer ustress vstress