SMOKE for Europe-adaptation, modification and evaluation of a comprehensive emission model for Europe

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

SMOKE for Europe-adaptation, modification and evaluation of a comprehensive emission model for Europe. / Bieser, Johannes; Aulinger, A.; Matthias, V. et al.
In: Geoscientific Model Development, Vol. 4, No. 1, 25.01.2011, p. 47-68.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bieser J, Aulinger A, Matthias V, Quante M, Builtjes P. SMOKE for Europe-adaptation, modification and evaluation of a comprehensive emission model for Europe. Geoscientific Model Development. 2011 Jan 25;4(1):47-68. doi: 10.5194/gmd-4-47-2011

Bibtex

@article{7ff12c80d97e4579bc27f36dd09c0b23,
title = "SMOKE for Europe-adaptation, modification and evaluation of a comprehensive emission model for Europe",
abstract = "The US EPA regional emission model SMOKE was adopted and modified to create temporally and spatially distributed emission for Europe and surroundingcountries based on official reports and public domain data only. The aim isto develop a flexible model capable of creating consistent high resolutionemission data for long-term runs of Chemical Transport Models (CTMs). This modified version of SMOKE, called SMOKE for EUROPE (SMOKE-EU) wassuccessfully used to create hourly gridded emissions for the timespan1970-2010. In this paper the SMOKE-EU model and the underlying European datasets areintroduced. Emission data created by SMOKE-EU for the year 2000 are evaluatedby comparison to data of three different state-of-the-art emission models.SMOKE-EU produced a range of values comparable to the other three datasets.Further, concentrations of criteria pollutants calculated by the CTM CMAQusing the four different emission datasets were compared against EMEPmeasurements with hourly and daily resolution. Using SMOKE-EU gave the mostreliable modelling of O3, NO2 and SO4 2-. The amount of simulatedconcentrations within a factor of 2 (F2) of the observations for thesespecies are: O3 (F2 =Combining double low line 0.79, N =Combining double low line 329 197), NO2 (F2 =Combining double low line 0.55, N =Combining double low line 11 465) and SO4 2- (F2 =Combining double low line 0.62, N= Combining double low line 17 536). The lowestvalues were found for NH4+ (F2 =Combining double low line 0.34, N =Combining double low line 7400) and NO 3-(F2 =Combining double low line 0.25, N= Combining double low line 6184). NH4+ concentrations were generallyoverestimated, leading to a fractional bias (FB) averaged over 22 measurementstations of (FB =Combining double low line 0.83 ± 0.41) while better agreements withobservations were found for SO42- (FB =Combining double low line 0.06 ± 0.38,51 stations) and NO 3- (FB =Combining double low line 0.13 ± 0.75, 18 stations). CMAQ simulations using the three other emission datasets were similar tothose modelled using SMOKE-EU emissions. Highest differences where found for NH4+ while O3 concentrations were almost identical.",
keywords = "Environmental Governance",
author = "Johannes Bieser and A. Aulinger and V. Matthias and Markus Quante and P. Builtjes",
year = "2011",
month = jan,
day = "25",
doi = "10.5194/gmd-4-47-2011",
language = "English",
volume = "4",
pages = "47--68",
journal = "Geoscientific Model Development",
issn = "1991-959X",
publisher = "Copernicus Publications",
number = "1",

}

RIS

TY - JOUR

T1 - SMOKE for Europe-adaptation, modification and evaluation of a comprehensive emission model for Europe

AU - Bieser, Johannes

AU - Aulinger, A.

AU - Matthias, V.

AU - Quante, Markus

AU - Builtjes, P.

PY - 2011/1/25

Y1 - 2011/1/25

N2 - The US EPA regional emission model SMOKE was adopted and modified to create temporally and spatially distributed emission for Europe and surroundingcountries based on official reports and public domain data only. The aim isto develop a flexible model capable of creating consistent high resolutionemission data for long-term runs of Chemical Transport Models (CTMs). This modified version of SMOKE, called SMOKE for EUROPE (SMOKE-EU) wassuccessfully used to create hourly gridded emissions for the timespan1970-2010. In this paper the SMOKE-EU model and the underlying European datasets areintroduced. Emission data created by SMOKE-EU for the year 2000 are evaluatedby comparison to data of three different state-of-the-art emission models.SMOKE-EU produced a range of values comparable to the other three datasets.Further, concentrations of criteria pollutants calculated by the CTM CMAQusing the four different emission datasets were compared against EMEPmeasurements with hourly and daily resolution. Using SMOKE-EU gave the mostreliable modelling of O3, NO2 and SO4 2-. The amount of simulatedconcentrations within a factor of 2 (F2) of the observations for thesespecies are: O3 (F2 =Combining double low line 0.79, N =Combining double low line 329 197), NO2 (F2 =Combining double low line 0.55, N =Combining double low line 11 465) and SO4 2- (F2 =Combining double low line 0.62, N= Combining double low line 17 536). The lowestvalues were found for NH4+ (F2 =Combining double low line 0.34, N =Combining double low line 7400) and NO 3-(F2 =Combining double low line 0.25, N= Combining double low line 6184). NH4+ concentrations were generallyoverestimated, leading to a fractional bias (FB) averaged over 22 measurementstations of (FB =Combining double low line 0.83 ± 0.41) while better agreements withobservations were found for SO42- (FB =Combining double low line 0.06 ± 0.38,51 stations) and NO 3- (FB =Combining double low line 0.13 ± 0.75, 18 stations). CMAQ simulations using the three other emission datasets were similar tothose modelled using SMOKE-EU emissions. Highest differences where found for NH4+ while O3 concentrations were almost identical.

AB - The US EPA regional emission model SMOKE was adopted and modified to create temporally and spatially distributed emission for Europe and surroundingcountries based on official reports and public domain data only. The aim isto develop a flexible model capable of creating consistent high resolutionemission data for long-term runs of Chemical Transport Models (CTMs). This modified version of SMOKE, called SMOKE for EUROPE (SMOKE-EU) wassuccessfully used to create hourly gridded emissions for the timespan1970-2010. In this paper the SMOKE-EU model and the underlying European datasets areintroduced. Emission data created by SMOKE-EU for the year 2000 are evaluatedby comparison to data of three different state-of-the-art emission models.SMOKE-EU produced a range of values comparable to the other three datasets.Further, concentrations of criteria pollutants calculated by the CTM CMAQusing the four different emission datasets were compared against EMEPmeasurements with hourly and daily resolution. Using SMOKE-EU gave the mostreliable modelling of O3, NO2 and SO4 2-. The amount of simulatedconcentrations within a factor of 2 (F2) of the observations for thesespecies are: O3 (F2 =Combining double low line 0.79, N =Combining double low line 329 197), NO2 (F2 =Combining double low line 0.55, N =Combining double low line 11 465) and SO4 2- (F2 =Combining double low line 0.62, N= Combining double low line 17 536). The lowestvalues were found for NH4+ (F2 =Combining double low line 0.34, N =Combining double low line 7400) and NO 3-(F2 =Combining double low line 0.25, N= Combining double low line 6184). NH4+ concentrations were generallyoverestimated, leading to a fractional bias (FB) averaged over 22 measurementstations of (FB =Combining double low line 0.83 ± 0.41) while better agreements withobservations were found for SO42- (FB =Combining double low line 0.06 ± 0.38,51 stations) and NO 3- (FB =Combining double low line 0.13 ± 0.75, 18 stations). CMAQ simulations using the three other emission datasets were similar tothose modelled using SMOKE-EU emissions. Highest differences where found for NH4+ while O3 concentrations were almost identical.

KW - Environmental Governance

UR - http://www.scopus.com/inward/record.url?scp=84885415867&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/59942822-0517-3292-bcbc-a872b83988dd/

U2 - 10.5194/gmd-4-47-2011

DO - 10.5194/gmd-4-47-2011

M3 - Journal articles

AN - SCOPUS:84885415867

VL - 4

SP - 47

EP - 68

JO - Geoscientific Model Development

JF - Geoscientific Model Development

SN - 1991-959X

IS - 1

ER -

Documents

DOI

Recently viewed

Publications

  1. Sequence Analysis in Entrepreneurship Research: Business Founders’ Life Courses and Early-Stage Firm Survival
  2. Gesundheitskompetenz und Gesundheit von Studierenden unter besonderer Betrachtung der Lehramtsstudierenden
  3. Species diversity of forest floor biota in non-native Douglas-fir stands is similar to that of native stands
  4. ‘The human shield effect’: Human-wildlife co-occurrence patterns in the coffee forests of southwestern Ethiopia
  5. An extended kalman filter for temperature monitoring of a metal-polymer hybrid fibre based heater structure
  6. Einstellungen und Selbstwirksamkeitsüberzeugungen von Lehramtsstudierenden bezüglich inklusiven Unterrichts
  7. A cascade regulator using Lyapunov's PID-PID controllers for an aggregate actuator in automotive applications
  8. An Extended Kalman Filter as an Observer in a Sliding Mode Controller for a Metal-Polymer Composite Actuator
  9. Comparison of three methods of length compensation in a parallel kinematic and their equivalence conditions
  10. Numerical Investigation of Influence of Spot Geometry in Laser Peen Forming of Thin-Walled Ti-6Al-4V Specimens
  11. Gaseous nitrogen losses from urea applied to maize on a calcareous fluvo-aquic soil in the North China Plain
  12. Do overlapping audit and compensation committee memberships contribute to better financial reporting quality?
  13. High temperature deformation mechanisms and processing map for hot working of cast-homogenized Mg-3Sn-2Ca alloy
  14. Impact of an Acceptance Facilitating Intervention on Patients’ Acceptance of Internet-based Pain Interventions
  15. On the Problems of Honorary Work in German Sports Clubs – A Qualitative-Dominated Crossover Mixed Methods Study