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A 1-year simulation of atmospheric concentrations and deposition over Europe and UK Alan Cocks, Vicky Lucas, Ian Rodgers, and Ian Teasdale RWEInnogy Environment.

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Presentation on theme: "A 1-year simulation of atmospheric concentrations and deposition over Europe and UK Alan Cocks, Vicky Lucas, Ian Rodgers, and Ian Teasdale RWEInnogy Environment."— Presentation transcript:

1 A 1-year simulation of atmospheric concentrations and deposition over Europe and UK
Alan Cocks, Vicky Lucas, Ian Rodgers, and Ian Teasdale RWEInnogy Environment

2 Air Quality in Europe and UK
UNECE Gothenburg Protocol Emission ceilings on SO2, NOx, VOC, and NH3 EU Air Quality Framework directive NECD LCPD New model required for new issues…. ….to open up a wider debate RWE Innogy • 28/11/2018

3 Why did we choose Models3
Modular and future-proofed Covers a range of spatial and temporal scales Flexible Complete Available RWE Innogy • 28/11/2018

4 Development strategy Choose a suitable domain
Build the key inputs (emissions, meteorology) Build and test the model (hard wired features !) Develop a methodology and tools Validate the ‘vanilla’ model for one month A key hurdle is the simulation of air quality and wet deposition statistics for a full year - was it feasible ? RWE Innogy • 28/11/2018

5 Development strategy 2 Achieved through a joint JEP/EA project - the subject of this presentation Currently looking at ozone and secondary particulates Investigated aggregation schemes Stakeholder workshop in April 2003 Results are being made available Achieved by a small team and minimal effort RWE Innogy • 28/11/2018

6 Location of monitoring sites used
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7 Data availability at each monitoring site
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8 MODELS-3: grids RWE Innogy • 28/11/2018

9 Practical Matters CMAQ: April 2001 (version 4.1) without front end
SMOKE v1.4b (MEPPS couldn’t be used) Hardware: 2* Sun SPARC II Dual Processor (400MHz) Sun Solaris OS5 and f90 compiler Options: PPM for advection; QSSA for chemistry, RADM2_AQ_AE; no PING; AERO1 Run times: around 158 hrs CPU for 1 month simulation RWE Innogy • 28/11/2018

10 Meteorological Data Processing
Used external data from UKMO rather than MM5 Analysis fields from NWP Archive of initial (T+0) fields from forecast runs Have observed data assimilated Best estimate of historical 3D weather data Met Office format Latitude/Longitude horizontal grid Eta levels in the vertical Had to be re-gridded 3 hour time steps, linearly interpolated to 1 hour for CMAQ RWE Innogy • 28/11/2018

11 Met Office Mesoscale model domain
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12 Sources of meteorological data
Global meteorological data Grid length approximately 60km at mid-latitudes Global coverage For this study Europe 30W to 45E, 29N to 69N Used for the 108km CMAQ runs Mesoscale meteorological data Grid length approximately 12km Covers UK and France Used for the 36, 12 and 4km CMAQ runs RWE Innogy • 28/11/2018

13 Emission modelling Aim to take the data from readily available source
24 species for RADM2_AE_AQ EMEP database: 50km x 50km by sector NOx, SO2, CO, NH3, NMVOC, particulates used for 108 km grid GEIA database natural emissions: isoprenes, terpenes, volcanic NAEI database: 1km x 1km for UK by source type UK Power station data RWE Innogy • 28/11/2018

14 Verification test: Sulphate deposition
RWE Innogy • 28/11/2018

15 AQ time series a b c Bottesford: daily a) SO2 b) NO2c)PM10
RWE Innogy • 28/11/2018

16 Model – measurement comparison for AQ
1.68 0.44 0.36 0.33 Yarner Wood 0.85 1.85 0.75 Wicken Fen 1.00 1.55 1.73 0.46 0.76 0.21 Rochester 0.54 1.40 1.25 0.34 0.28 -0.15 Redcar 0.64 1.15 0.51 0.42 0.68 0.65 Narbeth 4.09 1.49 2.05 -0.47 0.47 Lullington Heath 1.61 1.16 0.67 Lady Bower 1.93 -0.40 High Muffles 1.37 2.40 Harwell 3.14 2.29 -0.58 Eskdalemuir 0.84 1.18 1.13 0.56 0.69 Bottesford NH3 PM10 NO2 SO2 Mean Annual Modelled/Measured Correlation RWE Innogy • 28/11/2018

17 Air Quality: Hourly NO2 RWE Innogy • 28/11/2018

18 Air Quality: SO2 Annual Averages
RWE Innogy • 28/11/2018

19 Air Quality: NO2 Annual Averages
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20 Wet Deposition Weekly totals
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21 Model – measurement comparison for wet deposition.
1.84 1.13 0.85 1.10 0.62 0.72 0.61 0.78 Yarner Wood 1.76 1.12 0.63 1.15 0.31 0.57 Tycanol Wood 0.91 0.93 0.80 0.74 0.73 Preston 0.68 0.95 0.71 0.70 0.87 High Muffles 1.04 0.92 0.75 1.25 0.19 0.59 Flatford Mill 2.11 1.55 1.06 0.98 0.51 0.50 0.58 0.83 Eskdalemuir 0.81 0.65 1.07 0.82 Compton 1.11 1.05 1.41 Bottesford -0.01 0.14 0.44 Bannisdale 1.64 1.03 0.69 0.47 0.39 Barcombe Mills NH4+ NO3- SO42- Rainfall Mean Annual Modelled/Measured Correlation RWE Innogy • 28/11/2018

22 Annual comparison: precipitation
RWE Innogy • 28/11/2018

23 Annual comparison: wet deposition of S
RWE Innogy • 28/11/2018

24 Annual comparison: wet deposition of oxidised N
RWE Innogy • 28/11/2018

25 Annual comparison: wet deposition of reduced N
RWE Innogy • 28/11/2018

26 Spatial distribution : Deposition of oxidised Sulphur
RWE Innogy • 28/11/2018

27 Budgets RWE Innogy • 28/11/2018

28 Comparison with EMEP results
RWE Innogy • 28/11/2018

29 Comparison of measured and modelled Ozone and associated species
RWE Innogy • 28/11/2018

30 Summary of conclusions from study
Successful annual simulation carried out using freely available UK data Ratio of modelled to measured for Annual wet deposition is 0.7 (sulphate), 1.0 (nitrate) and 1.2 (ammonium). Acceptable correlation for sulphate and nitrate. For air quality the modelled/measured ratio is 1.3 for SO2, 1.4 for NO2, and 0.8 for particulate. Time series correlation is 0.72 for NO2 Models-3 performance compares favourably with the EMEP Lagrangian model. Total wet deposition maps are in fair agreement with interpolated measurements. Some usability issues Some modelling issues to resolve Models-3 is a suitable model for use as a high-resolution long-range transport model for the UK and Europe. RWE Innogy • 28/11/2018


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