POAEMM Prediction of the spatiotemporal variability of the marine aerosols optical properties in coastal and marine areas CS Toulon (leader) (L. Gardenal,P. Cassou, P.Y. Duclerc, C. Dépelchin) LSEET/MIO Université du Sud Toulon-Var (G. Tedeschi, J. Piazzola, T. Missamou) Météo France (C. Périard, M. Martet, V. Pourret) WIDA 2012 DP/SERV/BEC Vivien Pourret

WIDA 2012POAEMM Context  Assumption : Models don’t succeed in correctly representing marine aerosol behaviour in coastal areas where optronic survey is currently done.  CS has expertise in IR and EM domain (PREDEM, LIBPIR) that led to create contacts with the LSEET/MIO through its marine aerosol competence and measurements means and with Météo France through mesoscale NWP modelling and meteorological support.  Naturally, a joint venture has been created to consolidate the spatiotemporal optical properties of marine aerosols modelling in marine and coastal areas and to validate it with a measurement campaign.  The ANR ASTRID funding program provides the adequate frame to support the joint venture R&D project POAEMM.  The project POAEMM has been ranked third among the 196 projects presented and the 42 funded of the 2011 funding session.

WIDA 2012POAEMM Context

WIDA 2012POAEMM The POAEMM project The project led by CS Toulon aims to demonstrate the feasibility of predicting the spatiotemporal optical properties of marine aerosols in marine and coastal areas.  Goals : Develop a system to forecast the spatiotemporal optical properties of marine aerosols in marine and coastal areas Validate the modelling approach with an optronic measurement campaign  Means : Improving the MEDEX model (LSEET/MIO 1D model of marine aerosol concentration and atmosphere extinction) with aerosol measurement campaign results and other developments. Achieve a marine aerosol measurement campaign. Semi-automation of the LSEET/MIO marine aerosols measurement station on the Porquerolles island (South East of France). Coupling MEDEX with AROME (Météo France mesoscale NWP model). Develop a real time AROME/MEDEX system and validate it with a coupled aerosols and optronic measurement campaign

WIDA 2012POAEMM MEDEX  The 1D model MEDEX predicts marine aerosols and their effect on the extinction in the atmosphere. It’s an extension of NAM (Navy Aerosol Model). NAM is designed to work in open sea rather than in coastal areas. To take into account the coastal and advection effects the fetch was implemented to create MEDEX. Consequently, in MEDEX, the empirical coefficients (concentration modes in dN(r)/dr) used to parameterized the link between the aerosol concentration and meteorological parameters are function of the fetch and the wind speed. MEDEX uses 4 modes to take into account big particles in comparison with the 3 of NAM.  MEDEX has been developed by the LSEET/MIO lab based on observed data obtained from a measurement campaign performed in 2000 and 2001 over the Porquerolles Island.  MEDEX gives the particle size distribution from 0.1 to 40 μm and the profile of the extinction coefficient below 25 meters for wavelengths between 0.4 and 15 μm.

WIDA 2012POAEMM MEDEX VAMPIRA campaign in the baltic sea 2004 KEL: Canadian RDDC-Valcartier model NAM: Navy Aerosol model (USA) ANAM: Advanced Navy Aerosol model (USA) M3KM: Medex with a 3 km fetch M120KM: Medex with a 120 km fetch Example of 1D MEDEX results mapping forced with the RAMS mesoscale model near the Porquerolles Island

WIDA 2012POAEMM The aerosol measurement campaign  The planned aerosol measurement campaign is based on IOPs (Intensive Observation Period).  According to meteorological forecasts provided by a Météo France support over the measurement area, the IOPs will be planned and triggered depending on : Favorable wind speed and direction - provided by the mesoscale NWP model AROME (short term) and the global model ARPEGE (long term ) - Absence of non-marine aerosols (dusts, black carbon, sulphates) provided by the operational multi-scale chemistry and transport Météo France Model : MOCAGE Presence of marine aerosols provided by MOCAGE  The goal of the campaign is to gather data to improve MEDEX

Porquerolles LSEET/MIO measurement station National park

Porquerolles LSEET/MIO measurement station 2 sensors for the measurement of a large particle size spectrum :  PMS 100-HV for 2 to 100μm diameters  LAS-X II (funded by the project) for 0.1 to 7.5μm diameters The project plan to :  give electric autonomy to the station by solar energy accumulation in battery  install a wireless communication system to activate/deactivate measurements and download data.  interface the communication chain with sensors  on site save data  monitor the communication chain

WIDA 2012POAEMM MEDEX improvements  MEDEX code : Improvement of the impact of the vertical fluxes on aerosol concentration Improvement of the empirical coefficients of dN(r)/dr parameterization based on the fetch parameter and wind speed (due to the increase of the observed sample)  MEDEX inputs : Improvement of the fetch computation Use of forecasted mesoscale NWP AROME data as input of MEDEX  Develop a real time coupled system AROME/MEDEX.

WIDA 2012POAEMM Electro-optical measurement campaign  This campaign will be achieved with the same means and organisation as the first one in addition with electro-optical measures near the Porquerolles station.  The electro-optical measurement means will be composed of : A measurement site with electro-optical cameras in generic band IR1, IR2 and IR3. A shaped blackbody on a boat moving along an environnement dependant (weather and coastal) radial from the sensors to the open sea The real time coupled system AROME/MEDEX will be assessed in comparison with observed data.

WIDA 2012POAEMM POAEMM agenda  Aerosol measurement campaign : automn 2012  Coupled optronic and aerosol campaign : automn 2013  Project end : end 2013

WIDA 2012POAEMM Perspectives  Validate the improvement of aerosol predictions based on the coupled system AROME-MEDEX with a new measurement campaign on a new location  LIBPIR (CS Integrated toolbox for IR Sensor Performance) Library evolution  Integration of the local model MEDEX  Integration of AROME coupling modules  Development of modules to take into account the spatial variation of met and environment parameters in the computation of optical properties and radiative transfers  Development of an IR decision aid tool based on LIBPIR

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