Post on 18-Dec-2015
NILU Contributions to EUCAARINILU Contributions to EUCAARI
Andreas Stohl, John Burkhart, Kjetil Tørseth
Norwegian Institute for Air ResearchNorwegian Institute for Air Research
Task 5.2: EUCAARI Platform – DataTask 5.2: EUCAARI Platform – Data
Task 5.2.2: Atmospheric Transport Task 5.2.2: Atmospheric Transport ModelingModeling Task 5.2.3: Online Integration of ATM Task 5.2.3: Online Integration of ATM ProductsProducts
2008 EUCAARI Workshop2008 EUCAARI WorkshopSomewhere near the Frankfurt Airport...Somewhere near the Frankfurt Airport...
EUCAARI-FLEXPART
ASP Aspvreten, Sweden MPZ Melpitz, GermanyBEO BEO Moussala, Bulgaria MTC Monte Cimone, ItalyBIR Birkenes, Norway MSY Montseny, SpainCBW Cabauw, Netherlands OBK Kosetice, Czech RepublicFKL Finokalia, Greece PAL Pallas, FinlandHWL Harwell, United Kingdom PDD Puy de Dôme, FranceJFJ Jungfraujoch, Switzerland PLA Preila, LithuaniaJRC JRC-Ispra, Italy SMR Hyytiälä, FinlandKPO K-Puszta, Hungary VHL Vavihill, SwedenMHD Mace Head, Ireland ZEP Zeppelin, Spitsbergen, Norway
Standardized model set up
20 day backward runs, 3-hourly output: 00, 03, 06, 09, 12, 15, 18, 21
1º x 1º spatial resolution, 91 vertical levels, nested domain: 0.25º
ECMWF input
40,000 particles
Customized runs for campaigns
Forward & backward runs
EUCAARI-FLEXPART
Products Improved web portal
Updated project information Station status in real time
Access to traditional FLEXPART interface
Retroplume Summary Potential Emissions Sensitivity Emissions Time Series
*Under Development* new interface to interact with NILU-EUCAARI Database
NILUEUCAARI-FLEXPARTProducts
http://transport.nilu.no
Main page for FLEXPART
Model details, help resources, maillist|
http://transport.nilu.no/projects/eucaari
EUCAARI front page
Direct links to project resources
Real-time station status updates
EUCAARI-FLEXPARTTraditional Products:
Emissions Tracer Time Series
▪ Total
▪ Agespectrum
▪ North American, Asian, European, African, South American, Australian
Retroplume Summary
Column Residence Time (Total PES)
Footprint Residence Time (Footprint PES)
Source Contributions: CO, NO2, SO2
EUCAARI-FLEXPARTTraditional Products: Emissions Time Series
Total
Agespectrum
CO, NO2, SO2
North American, Asian, European, African, South American, Australian
EUCAARI-FLEXPARTTraditional Products: Retroplume Summary
Three dimensional product:
Particle plume centroid locations plotted by circles
Size is a function of number of particles in cluster
Color represents elevation
Numbers indicate days back in time
Centroid characteristics are also shown:
Altitude
% ABL – atmospheric boundary layer
%STR – stratosphere
EUCAARI-FLEXPARTTraditional Products: Potential Emissions Sensitivity
Total Column PES
Integrated over all vertical layers
Analagous to 'trajectory'
Includes 'retroplume' centroid locations
Units: ns m kg -1
EUCAARI-FLEXPARTTraditional Products: Footprint Emissions Sensitivity
Footprint PES
lowest model layer 0-100m
Units: ns kg -1
EUCAARI-FLEXPARTTraditional Products: CO, NO2, SO2 Source Contribution
Product:
we fold (i.e., multiply) the PES footprint with the emission flux densities (in unitsof kg m−2 s−1) taken from an appropriate emission inventory.
Result: potential source contribution (PSC) plot (in units of ppbv m−2)
global EDGAR 3.2 Fast Track 2000 dataset (Olivier et al., 2001) and blend this global inventory with higher-resolution regional inventories where
North American inventory from Frost et al. (2006)
European inventory from the UNECE/EMEP (United Nations Economic Commission for Europe/Cooperative Programme for Monitoring and Evaluation of Long Range Transmission of Air Pollutants in Europe) emission database (Vestreng et al., 2005).
EUCAARI-FLEXPARTTraditional Products: Emissions Time Series
Agespectrum
North American, Asian, European, African, South American, Australian
Advantage of integrated system: comparing model results with measured time series of long-lived tracers (e.g., CO), the model’s skill can be checked. Cases where an observed event is not reproduced by the model can be identified. Likely indicates:
a source missing in the emission inventories used, or
errors in the simulated transport.
This important quality check cannot be done when using classical trajectories.