Seamless Multi-Scale Modelling for Meteorology - Atmospheric Composition:
Enviro-HIRLAM Applications
by Alexander Mahura
Institute for Atmospheric and Earth System Research (INAR) / PhysicsFaculty of Science, University of Helsinki (UHEL), Finland
TRAKT-2018 project kick-off-meeting (at NIERSC)22-24 January 2018
St. Petersburg, Russia
In linkage with multiple research projects and collaboration with many colleagues
Multi-Scale & -Processes Modelling at INAR
From the poster at the INAR kick-off-meeting (Helsinki, Finland), 12 Jan 2018
Enviro-HIRLAM/
HARMONIE
(EnviroHH)(Collaboration, Research and
Development, Science
Education, Dissemination,
New Products and
Applications)
Enviro-HIRLAM linkage to the PEEX-
Modelling Platform
Enviro-HIRLAM
(Environment –
HIgh Resolution
Limited Area
Model)
(Baklanov et al., 2017) – most recent
➢ Seamless / online coupled integrated meteorology-chemistry-aerosols downscaling modelling system for predicting weather and atmospheric composition
Enviro-HIRLAM as part of PEEX-Modelling Platform
(Baklanov, Mahura et al., 2018) – in finalization
Downscaling for Enviro-HIRLAMRegional-Subregional-Urban/City scales
Note: in NordForsk CarboNord project (2014-2016) – at Northern hemispheric scale
Components of
Enviro-HIRLAM
Components of the Enviro-HIRLAM modelling system
Note: emission datasets used depend on research projects:MEGAPOLI, TRANSPHORM, PEGASOS, MarcoPolo, EnsCLIM, CarboNord, etc.
Enviro-HIRLAM research and
development team
Baklanov et al., 2002-2017;
Korsholm et al., 2006-2010;
Mahura et al., 2004-2017;
Nuterman et al., 2007-2017;
& many other colleagues
through collaboration
(Denmark, Russia, Ukraine,
Kazakhstan, Baltic States,
Spain, Turkey, etc.)
Urbanization Modules Applied
Model
Output
NWP Model
U r b a n M o d u l e s:
Land Surface Scheme
ISBAInteractions
Soil-
Biosphere
Atmosphere
NWP Initialization(urban domain/ resolution /
land-cover)
Urban Modules Initialization:
AHF+R+A
BEP
SM2-U
IF Urban Frac > 0
Pass MeteoParams
AHF+R+A: Urban - fraction, flux, roughness, albedo
BEP: Urban - fraction, districts, characteristics
SM2-U: Urban – fraction, surfaces, classes, characteristics
AHF+R+A
BEP
SM2-U
Model
Run
Mahura et al. (2004-…) in FUMAPEX, HIRLAM, COST728, MEGAPOLI, MACC, TRANSPHORM, MarcoPolo, PEEX
Re-calculated meteoparams
and fluxes
ISBA Tiles:
low veg., forest,
ice, snow, water,
bare soil/ urban
Urban Districts in Metropolitan Areas:
Classification & Characteristics
City Center High Buildings District
Residential District Industrial Commercial
District
GIS - Extraction of
districts related
characteristics
(statistics):
• Morphology parameters (avg. height, volume,
perimeter, compactness, space between buildings)
• Cover modes (surface density (SD) of buildings,
of vegetation, hydrography, roads, N buildings)
• Aerodynamic parameters (roughness length,
displacement height, frontal and lateral SD)
Urban Districts in Metropolitan Areas:
Classification & Characteristics
Copenhagen (Denmark) Paris (France) Rotterdam (The Netherlands)
Metropolitan Areas
EXAMPLES ON STUDIES
Copenhagen Metropolitan Area
Denmark
AHF+R: Copenhagen Urban Effects Modelling
Difference between runs: 01 Aug 2004, 06 UTC
(control vs. urbanized run)
Difference field for wind at 10 m
(control vs. urbanized run)
Difference field for temperature at 2 m
Mahura et al. (2005-6)
BEP: Copenhagen Urban Effects Modelling
Difference between runs: 01 Aug 2004, 06 UTC
(control vs. urbanized run)
Difference field for wind at 10 m
(control vs. urbanized run)
Difference field for temperature at 2 m
Mahura et al. (2005-6)
BEP: Long-Term Verification
Diurnal variability for 00 UTC forecasts for the average wind velocity at 10 m for the urban
station N–6180 in the Copenhagen metropolitan area as function of the forecast length based
on the DMI–HIRLAM–I01+BEP /U0D/ and –I01–CTRL /C0D/ model runs vs. observations
Urban station N-6180: Copenhagen area : Verification
July 2004 August 2004
Mahura et al. (2007-8)
Paris Metropolitan Area
France
Downscaling for Paris Metropolitan Area
(meteorology & chemistry)
Enviro-HIRLAM downscaling (from left to right: CTRL 15—5—2.5 km & 2.5+URB) meteorological
(top—air temperature, middle—humidity) and chemical (bottom—ozone) fields on 4 Jul 2009,
00+24 UTC.Mahura et al. (2009-12)
Paris Metropolitan Area: T2m
Diurnal cycle variability of the difference fields (Enviro-HIRLAM-P01: control vs. urban runs) for
air temperature at 2m on 4 Jul 2009 (from 00 till 24 UTCs).
Mahura et al. (2009-12)
Paris Metropolitan Area: T2m / AHF
Diurnal cycle variability of the difference fields (Enviro-HIRLAM-P01: urban vs. control runs) for
air temperature at 2m with changing anthropogenic heat fluxes (100, 150, 200, and 250 W/m2) on 4
Jul 2009 at 06 and 24 UTCsMahura et al. (2009-12)
Paris Metropolitan Area:
Temporal Variability of Meteo.Parameters
Variability of (from left-to-right) boundary layer height, total cloud cover, surface temperature,
wind speed on 4 Jul 2009 at (top) 09 UTC and (bottom) 21 UTC based on Enviro-HIRLAM model
run at 2.5 km resolution with URB=BEP+AHF included.
Mahura et al. (2009-12)
Shanghai Metropolitan Area
China
Downscaling for Enviro-HIRLAM:
Modelling Domains vs. Metropolitan Areas
Enviro-HIRLAM model downscaling domains
(15 – 5 – 2.5 km resolutions)
Shanghai metropolitan area (MA)
Urban areas in domains
C15-15 km
C05-5 km
C02-2.5 km
C15
C05
C02
Mahura et al. (2014-2017)
Enviro-HIRLAM Downscaling: Aerosols
PM10 (ug/m3)
Regional (15km)-
SubRegional (5km)-
Urban (2.5km)- / Shanghai
Mahura et al. (2014-2017)
05/04/201826
Downscaling toMetropolitan Areas (MA)
Shanghai MA
Beijing MA
Perl-River-Delta
operationalCase studies
for assessments
Mahura et al. (2014-2017)
http://www.marcopolo-panda.eu/products/regional-air-quality-forecasts/enviro-hirlam
RH2m
15 km:
PM2.5
T2m
U10m
Mahura et al. (2014-2017)
05/04/2018 28
RH2m
5 km:
PM2.5
T2m
U10m
Mahura et al. (2014-2017)
RH2m
2.5 km:
PM2.5
T2m
U10m
Mahura et al. (2014-2017)
2.5km: Shanghai MA: PM10Diurnal cycle: 20 Jul 2010
Mahura et al., 2014-2017
Enviro-HIRLAM:
In other projects & applications
Enviro-HIRLAM:
CarboNord / PEEX-CRUCIAL
Mahura, Nuterman et al. (2016-17)
Enviro-HIRLAM: Rotterdam
Mahura, Nuterman et al. (2010-2012)
Copenhagen, Denmark
Normalized concentrations
24 hours forecast 48 hours forecast
Normalized concentrations
24 hours forecast 48 hours forecastCopenhagen, Denmark
Collaboration –
Danish Asthma Allergy Association,
Finish Meteorological Institute
Enviro-HIRLAM: Birch Pollen
Emission rate & fractions of birch treesPhenological model output
Enviro-HIRLAM model output
Source: silam.fmi.fi
Mahura, Rasmussen et al. (2005-2010)
Collaboration –
Danish Road Directorate
Enviro-HIRLAM: Road Weather
Mahura, Petersen et al. (2005-2012)
Add line source traffic emissions
(daily and weekly variability)
781 road stretches
in Ribe Amt region
16637 stretches for 296 roads(at distances of 1 km)
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32 26
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Thank you, Thank you, Thank youTo many colleagues and many research projects
