MINNI_ENEA_mihaela_mircea

INAT-MET-SSPT & ARIANET srl
Sviluppo ed applicazione del sistema
modellistico MINNI dell’ENEA per ricostruire la
qualità dell'aria a scala nazionale ed europea
ARIANET Day V: Milano, 31 gennaio 2018
Mihaela Mircea

Sistema modellistico MINNI
FARM
RAMS
Emission
Manager
SURFPROMeteo
Turbolent
Diffusion
Emissions
ECMWF Fields Local Data
Emission Inventories
(ISPRA GAINS and
EMEP)
Temporal and
spatial
Informations
Concentrations and Depositions
EMEP Fields
IC e BC
METEO
Subsystem
EMISSION
Subsystem
CHEMICAL-PHYSICAL
Subsystem
GAINS-Italia

EuroDelta exercise contributes to the scientific work of TFMM (Task Force on Measurement
and Modelling) which was established by the Executive Body of EMEP (European
Monitoring and Evaluation Programme) in 2000 to offer a forum to the Parties, the EMEP
centres and other international organizations:
- to discuss and evaluate measurements and modelling and
- to further develop working methods and tools
It also supports the implementation of the protocols of the UNECE (United Nations
Economic Commission for Europe) convention CLRTAP (Convention on Long Range
Transboundary Air Pollution) such as: Gothenburg Protocol to Abate Acidification,
Eutrophication and Ground-level Ozone, protocols for heavy metals (HM) and persistent
organic pollutants (POPs) in Europe.
This Task Force is led by France, World Meteorological Organization (WMO) co-chairs its
meetings.
EuroDelta III

EURODELTA III Part A (campaigns) 2012: was designed to exploit and
interpret intensive measurement campaigns carried out by EMEP.
Bertrand Bessagnet (INERIS)
EURODELTA III Part B (trends) 2014: aims to assess the efficiency of
air pollution mitigation strategies over the past 20 years; it aims to
support the Convention on Long Range Transport of Air Pollutant, in
assessing the benefit of its main policy instrument: the Gothenburg
protocol, agreed upon in 1999 with a reference year in 1990.
https://wiki.met.no/emep/emep-experts/tfmmtrendeurodelta
Augustin Collette (INERIS)
EuroDelta III

• Multi-Model hindcast of Air Pollution in Europe for 1990-2010
• Science & Policy Questions
EURODELTA - Trends
Model validation How do models compare with observations in 1990, 2000, and 2010 ?
How do models capture the trend in observations (1990-2010)?
Can we conclude on the uncertainties in emissions?
European policy effectiveness Can we detect a significant impact of emission changes in Europe ?
Non-European influence Can we detect a significant impact of emission changes beyond Europe ?
Meteorological variability Does meteorological variability affects the AQ trend over the past 20 yrs?
Impacts Provide input to health & ecosystems impact models
Colette (INERIS)

Experimental setup
• Description of the exercise Colette et al., Geoscientific Model Development, 10 (9), pp. 3255-327, 2017
January 2018: 8 regional CTMs
Chimere (INERIS+CIEMAT, FR+ES)
CMAQ (BSC,ES)
EMEP (MSC-W, Met-Norway, NO)
LOTOS-EUROS (TNO, NL)
MINNI (ENEA, IT)
Polair3D (CEREA, FR) = POLYPHEMUS
WRF-Chem (IASS, DE)
MATCH (SHMI, SE)
Initial 20 years trends by 3 regional
CTMs
Chimere (INERIS+CIEMAT, FR+ES)
EMEP (MSC-W, Met-Norway)
LOTOS-EUROS (TNO, NL)
Other
institutions
PSI, CH
LISA, FR
NILU, NO
ex-JRC
CIEMAT, ES

Experimental setup
• Common setup
– Domain ~25km resolution
– Meteorology (WRF/EuroCordex, except
CMAQB,WRF-Chem, MATCH and LOTOS-EUROS)
– Emissions (ECLIPSE-V5)
– Boundary conditions (Obs-based) (Colette et al., 2017, GMD)
Emission re-gridding by INERIS:
Boundary conditions global-model-based:

Trends experiment
(Colette et al., 2017, GMD)

Data policy and practical access to data
– Articles, papers, or written scientific works of any form, based in
whole or in part on data, images or other products supplied by
EURODELTA-Trends will contain an acknowledgment concerning
the supplied data reading:
– “Modelling data used in the present analysis were produced in
the framework of the EURODELTA-Trends Project initiated by the
Task Force on Measurement and Modelling of the Convention on
Long Range Transboundary Air Pollution. EURODELTA-Trends is
coordinated by INERIS and involves modelling teams of BSC,
CEREA, CIEMAT, ENEA, IASS, JRC, MET Norway, TNO, SMHI.
The views expressed in this study are those of the authors and do
not necessarily represent the views
of EURODELTA-Trends modelling teams.”
– Users of these data must offer co-authorship to the
modelling teams for any study submitted for publication until
June 2018. The list of modellers is: CHIMERE (Augustin
Colette, Florian Couvidat, Bertrand Bessagnet), CMAQ
(Maria-Teresa Pay), EMEP (Svetlana Tsyro, Hilde Fagerli,
Peter Wind), ex-JRC (Cornelius Cuvelier), LOTOS-EUROS
(Astrid Manders), MATCH (Camilla Andersson, Robert
Bergström), MINNI (Mihaela Mircea, Gino Briganti, Andrea
Cappelletti, Mario Adani, Massimo D’Isidoro), POLR
(Valentin Raffort), WRF-Chem (Kathleen A. Mar, Noelia
Otero, Narendra Ojha). After this date, users must inform the
EURODELTA-Trends coordinator
(augustin.colette@ineris.fr) about the expected use of the
data.
Download data or MINNI data:
Gino Briganti & Mario Adani
Ouputs:
1.8T, 20 000 files
Centralised on aerocom server

Manuscripts in preparation:
• ozone : Otero et al., Solberg et al., Pay et al.
• particulate matter: Tsyro et al.
• deposition: Vivanco/Theobald et al.
• secondary organic aerosol: Raffort et al.
• attribution: Colette et al.

EuroDelta III – Part A: campaigns
Bertrand Bessagnet
(Bessagnet et al., 2016, Atmos.Chem.Phys.)
EMEP intensive measurement campaigns:

PM during EMEP campaigns: EURODELTA III exercise
(Bessagnet et al., 2016, ACP.)

Is the meteorology used by models the same?
Planetary Boundary Layer (PBL) and Rain
 all models underestimate the PBL height (up to 25%);
the highest underestimation is observed for MINNI;
 all models overestimate Rain except CMAQ, which
underestimate it: this may be explained due to
different meteorological dataset used as input
 the values of NMB vary more with the season than
with the model;
these discrepancies are due to the
different interpolation methods used to
regrid the 3-D and 2-D ECMWF variables
to the final CTM grid but also due to
different parametrizations.
(Bessagnet et al., 2014, 2016)

2009
(Bessagnet et al., 2016, ACP.)
PBL evaluation over Europe
EURODELTA III campaigns

How much PBL height impacts on O3 and PM10?
Left graphs show the average PBL
heights and the average concentrations
for O3, NO2 and PM10 using MINNI’s
parameterizations.
Right graphs show the percentage
difference between the average
concentrations calculated with PBL
heights given by IFS (PBL_IFS) and by
MINNI’s parameterizations (PBL_MINNI)
(Fig. 6.16, Bessagnet et al., 2014)
 PM10 concentrations are decreased by
less than 0.5 mgm-3 and O3 is increased
by 2.75 mgm-3.
 The variations in concentrations over
the land are below 10 %.

Altezza strato limite planetario
Dati radiosondaggi
2010: radiosondaggi ore 00 e 12
(website of the Wyomyng
University)

Altezza strato limite planetario:
setup simulazioni MINNI
PBL parametrizations for Hmix Daily Hmix over land Nightly Hmix over land Hmix over sea
(no difference between
night and day)
ED3 (Eurodelta campaigns exercise) Maximum value between: i)
Maul (1980) version of Carson
(1973) encroachment method;
ii) mechanical mixing height by
Venkatram (1980).
Rib Bulk Richardson number
method with fixed critical
value Ribc=0.25(Sorensen,
1998)
Neutral mixing height by
Blackadar and Tennekes
(1968)
RIBF (Bulk Richardson method with
fixed threshold)
Bulk Richardson number
method with fixed critical value
Ribc=0.25 (Sorensen, 1998)
Rib Bulk Richardson number
value Ribc=0.25 (Sorensen,
1998)
value Ribc=0.25 (Sorensen,
1998)
RAD (sensible heat at ground level
extracted from WRF meteo inputs of
Eurodelta Trends Project)
Gryning and Batchvarova
(1996) prognostic formulation.
Zilitinkevich and Baklanov
(2002) for stable conditions,
prognostic formulation.
value Ribc=0.25(Sorensen,
1998)
2010 meteorological fields from Eurodelta III Trends exercise:
WRF data interpolated to the 16-levels vertical structure adopted by the atmospheric modelling system
AMS-MINNI: 20, 75, 150, 250, 380, 560, 800, 1130, 1570, 2160, 2970, 4050, 5500, 7000, 8500, 10000 m.
Horizontal resolution: 0.4° in latitude and 0.25° in longitude

Altezza strato limite planetario: dati simulati con MINNI e stimati dai
radiosondaggi alle stazioni costiere

Altezza strato limite planetario: dati simulati con MINNI e stimati
dai radiosondaggi alle stazioni continentale

Altezza strato limite planetario: ciclo giornaliero

Wet deposition evaluation over Europe
(Vivanco et al., 2017, Atm. Env.)

Deposizioni:
Dati disponibili
Michela Rogora e Aldo
Marchetto, Istituto per lo
Studio degli Ecosistemi,
CNR, Verbania Pallanza
2010: campioni
settimanali
-stazioni forestali
(programma
CONECOFOR) --dati
delle stazioni gestite nel
bacino del Lago
Maggiore (Provincia di
Verbania) da ISE (CNR)
-ARPA FVG: Pordenone
(Pnw) e Claut (Clw)

Deposizioni umide: dati simulati con MINNI e misurati
Media annuale

Deposizioni umide: dati simulati con MINNI e misurati
Correlazioni

INAT-MET-SSPT, ENEA
met.sspt.enea.it
www.enea.it
https://met.sspt.enea.it/
http://www.enea.it/

MINNI_ENEA_mihaela_mircea

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