Joanna Struzewska Warsaw University of Technology

Slides:



Advertisements
Similar presentations
PREV AIR : An operational system for air quality monitoring and forecasting presented by Laurence Rouïl.
Advertisements

Some recent studies using Models-3 Ian Rodgers Presentation to APRIL meeting London 4 th March 2003.
PREV AIR : An operational system for large scale air quality monitoring and forecasting
Chemical regimes over Europe – long term, seasonal and day to day variability Matthias Beekmann LISA University Paris 7 and 12, CNRS Créteil, France Thanks.
PREV ’AIR : An operational system for large scale air quality monitoring and forecasting over Europe
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
DEA - Università degli Studi di Brescia Multi-objective optimization to select effective PM10 control policies in Northern Italy C. Carnevale, E. Pisoni,
Data assimilation of trace gases in a regional chemical transport model: the impact on model forecasts E. Emili 1, O. Pannekoucke 1,2, E. Jaumouillé 2,
Atmospheric modelling activities inside the Danish AMAP program Jesper H. Christensen NERI-ATMI, Frederiksborgvej Roskilde.
THE IMPACTS OF TRANS-BOUNDARY TRANSPORT OF AEROSOLS ON THE REGIONAL AIR QUALITY: A case study of Mexican wildland fire on May 1998 Hee-Jin In 1, Daewon.
ACCENT/GLOREAM 2006, October, Paris Photo-oxidants formation and transport over Europe during the heat wave period in July 2006 Joanna Struzewska.
Intercontinental Transport and Climatic Effects of Air Pollutants Intercontinental Transport and Climatic Effects of Air Pollutants Workshop USEPA/OAQPS.
PREV ’AIR : An operational system for air quality monitoring and forecasting Laurence ROUÏL.
Chemical Weather with GEM-AQ Jacek W. Kaminski Joanna Struzewska Lori Neary Alex Lupu Jonh C. McConnell Atmospheric Modelling and Data Assimilation Laboratory.
Modeling BC Sources and Sinks - research plan Charles Q. Jia and Sunling Gong University of Toronto and Environment 1 st annual NETCARE workshop.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
Emission processing methodology for the new GEM-MACH model ABSTRACT SMOKE has recently been adapted to provide emissions for the new Meteorological Service.
Simulation of European emissions impacts on particulate matter concentrations in 2010 using Models-3 Rob Lennard, Steve Griffiths and Paul Sutton (RWE.
Modelling the Canadian Arctic and Northern Air Quality using GEM-MACH Wanmin Gong and Stephen Beagley Science and Technology Branch Environment Canada.
Contribution from Natural Sources of Aerosol Particles to PM in Canada Sunling Gong Scientific Team: Tianliang Zhao, David Lavoue, Richard Leaitch,
GEM-MACH Global The Canadian Global Air Quality Modeling/Forecasting System Dr. Sunling Gong Science and Technology Branch January 16-17, 2012.
Importance of Lightning NO for Regional Air Quality Modeling Thomas E. Pierce/NOAA Atmospheric Modeling Division National Exposure Research Laboratory.
The Euro- and City-Delta model intercomparison exercises P. Thunis, K. Cuvelier Joint Research Centre, Ispra.
EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS.
Air Quality Forecasting Bas Mijling Ronald van der A AMFIC Annual Meeting ● Beijing ● October 2008.
1 Using Hemispheric-CMAQ to Provide Initial and Boundary Conditions for Regional Modeling Joshua S. Fu 1, Xinyi Dong 1, Kan Huang 1, and Carey Jang 2 1.
Modelling perspective: Key limitations of current country projection data in transboundary modelling activities. What improvements are needed? Jan Eiof.
Capacity building regarding data inventory and air pollution modelling with the EMEP and GAINS models - applied on Oblasts of the Russian Federation Presentation.
GEM/AQ Simulations on Intercontinental Transports Science and Technology Branch Environment Canada.
Air Quality Forecasting in China using a regional model Bas Mijling Ronald van der A Henk Eskes Hennie Kelder.
TEMIS user workshop, Frascati, 8-9 October 2007 TEMIS – VITO activities Felix Deutsch Koen De Ridder Jean Vankerkom VITO – Flemish Institute for Technological.
GEOS-CHEM Modeling for Boundary Conditions and Natural Background James W. Boylan Georgia Department of Natural Resources - VISTAS National RPO Modeling.
10-11 October 2006HYMN kick-off TM3/4/5 Modeling at KNMI HYMN Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the.
A Five-Year Performance Evaluation of Environment Canada’s Operational Regional Air Quality Deterministic Prediction System M.D. Moran 1, J. Zhang 1, R.
Seasonal Modeling of the Export of Pollutants from North America using the Multiscale Air Quality Simulation Platform (MAQSIP) Adel Hanna, 1 Rohit Mathur,
21-22 March 2005 LMD, Palaiseau, France CHIMERE workshop Air quality assessment for Portugal A. Monteiro, C. Borrego, A.I. Miranda, R. Vautard Universidade.
A ir Quality Research Branch Meteorological Service of Canada Environment Environnement Canada Performance Evaluation of AURAMS for Multiple Cases Michael.
Georgia Institute of Technology SAMI Aerosol Modeling: Performance Evaluation & Future Year Simulations Talat Odman Georgia Institute of Technology SAMI.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
11 September 2007 How do the dispersion calculations in the IIAS work? Magnuz Engardt Swedish Meteorological and Hydrological Institute January 2008.
Peak 8-hr Ozone Model Performance when using Biogenic VOC estimated by MEGAN and BIOME (BEIS) Kirk Baker Lake Michigan Air Directors Consortium October.
Future Air Quality in Representative Concentration Pathway Scenarios: Relationships Between Economic Wellbeing and Air Quality J. Jason West Steven J.
WORKSHOP ON CLIMATE CHANGE AND AIR QUALITY : part I: Intercontinental transport and climatic effects of pollutants OBJECTIVE: Define a near-term (-2003)
W. T. Hutzell 1, G. Pouliot 2, and D. J. Luecken 1 1 Atmospheric Modeling Division, U. S. Environmental Protection Agency 2 Atmospheric Sciences Modeling.
Emission reductions needed to meet proposed ozone standard and their effect on particulate matter Daniel Cohan and Beata Czader Department of Civil and.
Aerosol simulation with coupled meteorology-radiation- chemistry model WRF/Chem over Europe.
GlobEmission (ITT 6721) new ESA contract starting on Oct. 11 KNMI/BIRA/FMI/TNO/VITO.
Impact of various emission inventories on modelling results; impact on the use of the GMES products Laurence Rouïl
National Environmental Research Institute, University of Aarhus, Denmark Impacts of climate change on air pollution levels in the Northern Hemisphere G.
Jacek W. Kaminski1 Joanna Struzewska2 Pawel Durka3,4
ADAGIO (Atmospheric Deposition Analysis Generated by optimal Interpolation from Observations): Project plans and status A.S. Cole1, A. Robichaud2, M.D.
Evaluations of CMAQ Simulations in southern Taiwan
FUTURE PREDICTION OF SURFACE OZONE OVER EAST ASIA UP TO 2020
Lupu, Semeniuk, Kaminski, Mamun, McConnell
Daniel J. Jacob Harvard University
Atmospheric modelling of the Laki eruption
A New Method for Evaluating Regional Air Quality Forecasts
A model of sea salt aerosol for Cape Grim Preliminary investigations
Charles University in Prague
Recent Updates to the Canadian Operational Regional Air Quality Deterministic Prediction System Michael Moran, Sylvie Gravel, Verica Savic-Jovcic, Alexandru.
Impact on Recent North American Air Quality Forecasts of Replacing a Retrospective U.S. Emissions Inventory with a Projected Inventory Michael Moran1,
Some thoughts on future air quality models from a WRF-Chem modeler
Effects of global change on U.S. ozone air quality
Steve Griffiths, Rob Lennard and Paul Sutton* (*RWE npower)
EURODELTA III RCG-Model
Jan Eiof Jonson, Peter Wind EMEP/MSC-W
PM modelling assessment in Northern Italy
The EuroDelta inter-comparison, Phase I Variability of model responses
C. Carnevale1, G. Finzi1, E. Pisoni1, P. Thunis2, M. Volta1
Presentation transcript:

  Impact of transboundary transport on surface ozone pollution in Poland in 2012 and 2013 Joanna Struzewska Warsaw University of Technology Jacek W. Kaminski, EcoForecast Foundation Pawel Durka, EcoForecast Foundation Karol Szymankiewicz, Warsaw University of Technology Wspomaganie systemu oceny jakości powietrza z użyciem modelowania w zakresie ozonu troposferycznego dla lat 2012 i 2013. Praca wykonana na zlecenie Głównego Inspektoratu Ochrony Środowiska.

Outline Ozone assessment in Poland in 2012 and 2013 GEM-AQ model description and configuration Emission data processing Modelling results evaluation Trasboundary impact on ozone exposure diagnostics Summary

Ozone assessment in Poland Responsible institution - National Inspectorate for Environmental Protection Modelling centre: Warsaw University of Technology (Department of Environmental Engineering) + EcoForecast Foundation 2012, 2013 Modelling results on national scale (in two resolutions – 15km and 5 km) delivered to VIEPs by the end of March next year Impact of transboundary transport assessed at 15km resolution

GEM-AQ model description 1/2 GEM-AQ developed by the Multiscale Air Quality Network coordinated by York University in Canada Host meteorological model – the Global Environmental Multiscale (GEM) (Côté, et al., 1998) – Canadian operational weather forecast model Tracer transport, vertical diffusion and deep convection Gas phase chemistry Photodissociation rates – on-line Wet chemistry Aerosol chemistry and physics

GEM-AQ model description 2/2 On-line coupling Gas phase chemistry Extended ADOM II 52 chemical species VOC - lumped molecular approach 116 chemical reactions, 19 photochemical reactions Dry and wet removal Aerosol module Aerosol chemistry and physics based on CAM (Gong, 2003) 5 chemical types (OC, BC, sulphates, sea salt, dust) 12 size bins 0.005 - 20.48 m Heterogeneous reactions Advection and diffusion as for water vapour in the host meteorological model

GEM-AQ model configuration 28 vertical layers up to 10 hPa Resolution: 0.125 deg global variable grid - core over Central Europe, 0.05 deg nested grid over Poland Timestep: 450 sec – global simulation 120 sec – nested simulation Objective Analysis from CMC every 12 hours Output for nested simulation – every hour

Anthropogenic emission EMEP inventory All reported species (SOx, NOx, VOC, CO, PMs, NH3) EMEP domain – MERCATOR 0.5ox0.5o SNAP (01-10) Annual average Unit: [Mg(species)/cell] Ozone assessment 2012  inventory valid for 2010 Ozone assessment 2013  inventory valid for 2011

Emission flux relocation SNAP7 SNAP2 NO2 – SNAP07

DeltaTool – daily maximum scatterplot 2012 2013

DeltaTool – Taylor diagram 2012 2013

DeltaTool – Target plot 2012 2013

Transboundary transport No anthropogenic emissions over Poland Measures AD = ZeroPL – Base_run RD = AD / Base_run *100%

Number of days < 120 μg/m3 2012 2013

SOMO35 2012 2013

AOT40 2012 2013

Ozone episodes 27.04– 3.05 7 Local production Inflow from the west 24% 2012 days Inflow direction % LTO % AOT40 % SOMO35 27.04– 3.05 7 Local production Inflow from the west 24% 7% 8% 18–24.05 Inflow from the west, south-west and south, 13% 6% 26–31.07 6 10% 12% 5% 1–6.08 Inflow from teh west 11% – 19–24.08 Local production + inflow 9% Sum 32   62% 32% 30% 2013 days Inflow direction % LTO % AOT40 % SOMO35 26–29.07 4 Western inflow 20% 11% 5% 5–8.08 Local production South-western inflow 17% - 17–18.08 2 8% 3% Sum 10   45% 13%

Near surface temperature

Summary Modelling results meet model accuracy requirements defined in the 2008/50/EC Directive Different direction of the impact of transboundary transport on ozone pollution in 2012 and 2013 Highest transboundary impact along borders and southern direction In 2012 role of country emissions more important Based on measurements: In 2012 highest number of regional scale photochemical episodes over Poland (32 days in 2012 and 10 days in 2013) Highest number of information threshold exceedings in 2013 Level of exposure similar – higher ozone background in 2013

Thank You