HEMCO v1.0: A Versatile, ESMF-Compliant Component for Calculating Emissions in Atmospheric Models

Abstract. We describe the Harvard–NASA Emission Component version 1.0 (HEMCO), a stand-alone software component for computing emissions in global atmospheric models. HEMCO determines emissions from different sources, regions, and species on a user-defined grid and can combine, overlay, and update a set of data inventories and scale factors, as specified by the user through the HEMCO configuration file. New emission inventories at any spatial and temporal resolution are readily added to HEMCO and can be accessed by the user without any preprocessing of the data files or modification of the source code. Emissions that depend on dynamic source types and local environmental variables such as wind speed or surface temperature are calculated in separate HEMCO extensions. HEMCO is fully compliant with the Earth System Modeling Framework (ESMF) environment. It is highly portable and can be deployed in a new model environment with only few adjustments at the top-level interface. So far, we have implemented HEMCO in the NASA Goddard Earth Observing System (GEOS-5) Earth system model (ESM) and in the GEOS-Chem chemical transport model (CTM). By providing a widely applicable framework for specifying constituent emissions, HEMCO is designed to ease sensitivity studies and model comparisons, as well as inverse modeling in which emissions are adjusted iteratively. The HEMCO code, extensions, and the full set of emissions data files used in GEOS-Chem are available at http://wiki.geos-chem.org/HEMCO .

[1]  S. Gong,et al.  A parameterization of sea‐salt aerosol source function for sub‐ and super‐micron particles , 2003 .

[2]  C. Zender,et al.  Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology , 2003 .

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

[4]  Marc E.J. Stettler,et al.  Air quality and public health impacts of UK airports. Part I: Emissions , 2011 .

[5]  Ian G. Enting,et al.  Inverse problems in atmospheric constituent transport , 2002 .

[6]  Keywan Riahi,et al.  Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980–2010 period , 2011 .

[7]  R. Martin,et al.  Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing , 2006 .

[8]  Andrea Molod,et al.  The GEOS-5 Atmospheric General Circulation Model: Mean Climate and Development from MERRA to Fortuna , 2012 .

[9]  M. Chin,et al.  Anthropogenic, biomass burning, and volcanic emissions of black carbon, organic carbon, and SO 2 from 1980 to 2010 for hindcast model experiments , 2012 .

[10]  P. Palmer,et al.  Global atmospheric budget of acetaldehyde: 3-D model analysis and constraints from in-situ and satellite observations , 2009 .

[11]  D. Jacob,et al.  Impact of mineral dust on nitrate, sulfate, and ozone in transpacific Asian pollution plumes , 2009 .

[12]  L. Emmons,et al.  The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions , 2012 .

[13]  J. Randerson,et al.  Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009) , 2010 .

[14]  Mian Chin,et al.  Influence of the 2006 Indonesian biomass burning aerosols on tropical dynamics studied with the GEOS-5 AGCM , 2010 .

[15]  Thomas E. Graedel,et al.  Global gridded inventories of anthropogenic emissions of sulfur and nitrogen , 1996 .

[16]  Tami C. Bond,et al.  Historical emissions of black and organic carbon aerosol from energy‐related combustion, 1850–2000 , 2007 .

[17]  G. Janssens-Maenhout,et al.  Verifying Greenhouse Gas Emissions: Methods to Support International Climate Agreements , 2011 .

[18]  Cecelia DeLuca,et al.  The architecture of the Earth System Modeling Framework , 2003, Computing in Science & Engineering.

[19]  Leonidas Ntziachristos,et al.  Evolution of NO x emissions in Europe with focus on road transport control measures , 2008 .

[20]  R. C. Hudman,et al.  Steps towards a mechanistic model of global soil nitric oxide emissions: implementation and space based-constraints , 2012 .

[21]  G. Grell,et al.  WRF-Chem simulation of East Asian air quality: Sensitivity to temporal and vertical emissions distributions , 2010 .

[22]  William J. Koshak,et al.  Optimized regional and interannual variability of lightning in a global chemical transport model constrained by LIS/OTD satellite data , 2012 .

[23]  J. Lamarque,et al.  Emissions of gases and particles from biomass burning during the 20th century using satellite data and an historical reconstruction , 2009 .

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

[25]  J. Pereira,et al.  Global wildland fire emissions from 1960 to 2000 , 2008 .

[26]  Axel Lauer,et al.  Emissions from international shipping: 1. The last 50 years , 2005 .

[27]  Daniel J. Jacob,et al.  Global Budget of Ethane and Regional Constraints on U.S. Sources , 2008 .

[28]  D. Blake,et al.  Finding the missing stratospheric Br y : a global modeling study of CHBr 3 and CH 2 Br 2 , 2009 .

[29]  D. Eichelberger.  Verifying Greenhouse Gas Emissions Methods To Support International Climate Agreements , 2016 .

[30]  A. da Silva,et al.  Direct and semi‐direct aerosol effects in the NASA GEOS‐5 AGCM: aerosol‐climate interactions due to prognostic versus prescribed aerosols , 2013 .

[31]  Jeremy Firestone,et al.  Improving spatial representation of global ship emissions inventories. , 2008, Environmental science & technology.

[32]  Michael Q. Wang,et al.  An inventory of gaseous and primary aerosol emissions in Asia in the year 2000 , 2003 .

[33]  David S. Lee,et al.  Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application , 2010 .

[34]  Jennifer A. Logan,et al.  An assessment of biofuel use and burning of agricultural waste in the developing world , 2003 .

[35]  Martin Johnson.  A numerical scheme to calculate temperature and salinity dependent air-water transfer velocities for any gas , 2010 .

[36]  Jeffrey M. Vukovich,et al.  Development of a United States–Mexico Emissions Inventory for the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study , 2005, Journal of the Air & Waste Management Association.

[37]  D. Jacob,et al.  Global modeling of tropospheric chemistry with assimilated meteorology : Model description and evaluation , 2001 .

[38]  Becky Alexander,et al.  Global distribution of sea salt aerosols: new constraints from in situ and remote sensing observations , 2010 .