Air quality and radiative impacts of Arctic shipping emissions in the summertime in northern Norway: from the local to the regional scale

In this study, we quantify the impacts of shipping pollution on air quality and shortwave radiative effect in northern Norway, using WRF-Chem simulations combined with high resolution, real-time STEAM2 shipping emissions. STEAM2 emissions are evaluated using airborne measurements from the ACCESS campaign, which was conducted in summer 2012, in two ways. First, emissions of NOx and SO2 are derived for specific ships from in-situ measurements in ship plumes and FLEXPART-WRF plume dispersion modeling, and these values are compared to STEAM2 emissions for the same ships. Second, regional WRF-Chem runs with and without ship emissions are performed at two different resolutions, 3 km × 3 km and 15 km × 15km, and evaluated against measurements along flight tracks and average campaign profiles in the marine boundary layer and lower troposphere. These comparisons show that differences between STEAM2 emissions and calculated emissions can be quite large (−57 to +148 %) for individual ships, but that WRF-Chem simulations using STEAM2 emissions reproduce well the average NOx, SO2 and O3 measured during ACCESS flights. The same WRF-Chem simulations show that the magnitude of NOx and O3 production from ship emissions at the surface is not very sensitive (< 5 %) to the horizontal grid resolution (15 or 3 km), while surface PM10 enhancements due to ships are moderately sensitive (15 %) to resolution. The 15 km resolution WRF-Chem simulations are used to estimate the local and regional impacts of shipping pollution in northern Norway. Our results indicate that ship emissions are an important local source of pollution, enhancing 15 day averaged surface concentrations of NOx (∼ +80 %), O3 (∼ +5 %), black carbon (∼ +40 %) and PM2.5 (∼ +10 %) along the Norwegian coast. Over the same 15-day period, ship emissions in northern Norway have a global shortwave (direct + semi-direct + indirect) radiative effect of −9.3 m W m-2

[1]  G. Briggs,et al.  A Plume Rise Model Compared with Observations , 1965 .

[2]  Frederick E. Boland,et al.  Analysis of Urban-Rural Canopy Using a Surface Heat Flux/Temperature Model , 1978 .

[3]  Da‐Lin Zhang,et al.  A High-Resolution Model of the Planetary Boundary Layer—Sensitivity Tests and Comparisons with SESAME-79 Data , 1982 .

[4]  M. Wesely Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models , 1989 .

[5]  A. Stohl,et al.  The influence of Kola Peninsula, continental European and marine sources on the number concentrations and scattering coefficients of the atmospheric aerosol in Finnish Lapland , 1997 .

[6]  Paul S. Fischbeck,et al.  Emissions from Ships , 1997, Science.

[7]  E. Mlawer,et al.  Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave , 1997 .

[8]  Max J. Suarez,et al.  A solar radiation parameterization (CLIR-AD-SW) for atmospheric studies , 1999 .

[9]  Esko I. Kauppinen,et al.  Aerosol characterisation in medium-speed diesel engines operating with heavy fuel oils , 1999 .

[10]  Leonard K. Peters,et al.  A new lumped structure photochemical mechanism for large‐scale applications , 1999 .

[11]  James J. Corbett,et al.  Effects of ship emissions on sulphur cycling and radiative climate forcing over the ocean , 1999, Nature.

[12]  J. Dudhia,et al.  Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity , 2001 .

[13]  A. Watson,et al.  In situ evaluation of air‐sea gas exchange parameterizations using novel conservative and volatile tracers , 2000 .

[14]  Oliver Wild,et al.  Fast-J: Accurate Simulation of In- and Below-Cloud Photolysis in Tropospheric Chemical Models , 2000 .

[15]  D. Cooper,et al.  Exhaust emissions from high speed passenger ferries , 2001 .

[16]  G. Grell,et al.  A generalized approach to parameterizing convection combining ensemble and data assimilation techniques , 2002 .

[17]  J. Corbett,et al.  Updated emissions from ocean shipping , 2003 .

[18]  Gjermund Gravir,et al.  Emission from international sea transportation and environmental impact , 2003 .

[19]  Georg A. Grell,et al.  Fully coupled “online” chemistry within the WRF model , 2005 .

[20]  A. Stohl,et al.  Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2 , 2005 .

[21]  D. Hauglustaine,et al.  Multi-model simulations of the impact of international shipping on Atmospheric Chemistry and Climate in 2000 and 2030 , 2006 .

[22]  G. Grell,et al.  Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology‐chemistry‐aerosol model , 2006 .

[23]  P. Palmer,et al.  Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature) , 2006 .

[24]  Louisa Emmons,et al.  Ozone pollution from future ship traffic in the Arctic northern passages , 2006 .

[25]  H. Niino,et al.  An Improved Mellor–Yamada Level-3 Model: Its Numerical Stability and Application to a Regional Prediction of Advection Fog , 2006 .

[26]  Yongtao Hu,et al.  Dependence of ozone sensitivity analysis on grid resolution , 2006 .

[27]  R. Betts,et al.  Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .

[28]  U. Lohmann,et al.  Global model simulations of the impact of ocean-going ships on aerosols, clouds, and the radiation budget , 2007 .

[29]  Erin H. Green,et al.  Mortality from ship emissions: a global assessment. , 2007, Environmental science & technology.

[30]  Gjermund Gravir,et al.  Environmental impacts of the expected increase in sea transportation, with a particular focus on oil and gas scenarios for Norway and northwest Russia , 2007 .

[31]  E. S. Altzman Experimental determination of the diffusion coefficient of dimethylsulfide in water , 2007 .

[32]  M. Santee,et al.  Comparison of ClO measurements from the Aura Microwave Limb Sounder to ground‐based microwave measurements at Scott Base, Antarctica, in spring 2005 , 2007 .

[33]  G. Powers,et al.  A Description of the Advanced Research WRF Version 3 , 2008 .

[34]  T. Berntsen,et al.  Climate forcing from the transport sectors , 2008, Proceedings of the National Academy of Sciences.

[35]  R. Baumann,et al.  Experimental studies on particle emissions from cruising ship, their characteristic properties, transformation and atmospheric lifetime in the marine boundary layer , 2008 .

[36]  Gjermund Gravir,et al.  Update on emissions and environmental impacts from the international fleet of ships: the contribution from major ship types and ports , 2008 .

[37]  Jerome D. Fast,et al.  Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) , 2008 .

[38]  G. Thompson,et al.  Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes , 2009 .

[39]  J J Corbett,et al.  Mitigating the health impacts of pollution from oceangoing shipping: an assessment of low-sulfur fuel mandates. , 2009, Environmental science & technology.

[40]  H. Schlager,et al.  Modeling the regional impact of ship emissions on NO x and ozone levels over the Eastern Atlantic and Western Europe using ship plume parameterization , 2009 .

[41]  J. Kukkonen,et al.  A modelling system for the exhaust emissions of marine traffic and its application in the Baltic Sea area , 2009 .

[42]  J. Lamarque,et al.  Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4) , 2009 .

[43]  Robert Sausen,et al.  Shipping emissions: from cooling to warming of climate-and reducing impacts on health. , 2009, Environmental science & technology.

[44]  Catherine F. Cahill,et al.  Influence of ship emissions on air quality and input of contaminants in southern Alaska National Parks and Wilderness Areas during the 2006 tourist season , 2010 .

[45]  M. Sofiev,et al.  A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling , 2010 .

[46]  J. A. Silberman,et al.  Arctic shipping emissions inventories and future scenarios , 2010 .

[47]  J. Corbett,et al.  Transport impacts on atmosphere and climate: Shipping , 2010 .

[48]  T. Berntsen,et al.  Short-lived climate forcers from current shipping and petroleum activities in the Arctic , 2011 .

[49]  Biagio Ciuffo,et al.  Estimating air emissions from ships: Meta-analysis of modelling approaches and available data sources , 2011 .

[50]  Glen P. Peters,et al.  Future emissions from shipping and petroleum activities in the Arctic , 2011 .

[51]  J. Kay,et al.  The Arctic’s rapidly shrinking sea ice cover: a research synthesis , 2012, Climatic Change.

[52]  D. Jacob,et al.  Accounting for non-linear chemistry of ship plumes in the GEOS-Chem global chemistry transport model , 2011 .

[53]  Nickolay A. Krotkov,et al.  SO2 emissions and lifetimes: Estimates from inverse modeling using in situ and global, space‐based (SCIAMACHY and OMI) observations , 2011 .

[54]  Jonathan Crosier,et al.  Evaluating WRF-Chem aerosol indirect effects in Southeast Pacific marine stratocumulus during VOCALS-Rex , 2011 .

[55]  J. Kukkonen,et al.  Extension of an assessment model of ship traffic exhaust emissions for particulate matter and carbon monoxide , 2011 .

[56]  William I. Gustafson,et al.  Assessing regional scale predictions of aerosols, marine stratocumulus, and their interactions during VOCALS-REx using WRF-Chem , 2011 .

[57]  A. J. Kettle,et al.  An updated climatology of surface dimethlysulfide concentrations and emission fluxes in the global ocean , 2011 .

[58]  J. Corbett,et al.  Environmental impacts of shipping in 2030 with a particular focus on the Arctic region , 2012 .

[59]  David S. Lee,et al.  Global-mean temperature change from shipping toward 2050: improved representation of the indirect aerosol effect in simple climate models. , 2012, Environmental science & technology.

[60]  H. Grythe,et al.  The influence of cruise ship emissions on air pollution in Svalbard - a harbinger of a more polluted Arctic? , 2013 .

[61]  Max J. Suarez,et al.  A Solar Radiation Parameterization for Atmospheric Studies , 2013 .

[62]  C. Bretherton,et al.  Clouds and Aerosols , 2013 .

[63]  Morten Winther,et al.  Emission inventories for ships in the arctic based on satellite sampled AIS data , 2013 .

[64]  Gerhard Wotawa,et al.  The Lagrangian particle dispersion model FLEXPART-WRF version 3.1 , 2013 .

[65]  Laurence C. Smith,et al.  New Trans-Arctic shipping routes navigable by midcentury , 2013, Proceedings of the National Academy of Sciences.

[66]  M. Chin,et al.  Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom Phase II constrained by aircraft observations , 2014 .

[67]  L. Johansson,et al.  Emission factors of SO 2 , NO x and particles from ships in Neva Bay from ground-based and helicopter-borne measurements and AIS-based modeling , 2014 .

[68]  Trond F. Bergh,et al.  Climate penalty for shifting shipping to the Arctic. , 2014, Environmental science & technology.

[69]  M. Gauss,et al.  Model calculations of the effects of present and future emissions of air pollutants from shipping in the Baltic Sea and the North Sea , 2014 .

[70]  A. Karion,et al.  Understanding high wintertime ozone pollution events in an oil- and natural gas-producing region of the western US , 2014 .

[71]  Amir A. Aliabadi,et al.  Air quality monitoring in communities of the Canadian Arctic during the high shipping season with a focus on local and marine pollution , 2014 .

[72]  H. Schlager,et al.  Air quality and radiative impacts of Arctic shipping emissions , 2015 .

[73]  M. George,et al.  Quantifying emerging local anthropogenic emissions in the Arctic region: the ACCESS aircraft campaign experiment , 2015 .

[74]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .