Abstract
Abstract. We present the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), an open source, parallel and stand-alone multi-scale atmospheric emission modelling framework that computes gaseous and aerosol emissions for use in atmospheric chemistry models. HERMESv3 is coded in Python and consists of a global_regional module and a bottom_up module that can be either combined or executed separately. In this contribution (Part 1) we describe the global_regional module, a customizable emission processing system that calculates emissions from different sources, regions and pollutants on a user-specified global or regional grid. The user can flexibly define combinations of existing up-to-date global and regional emission inventories and apply country-specific scaling factors and masks. Each emission inventory is individually processed using user-defined vertical, temporal and speciation profiles that allow obtaining emission outputs compatible with multiple chemical mechanisms (e.g. Carbon-Bond 05). The selection and combination of emission inventories and databases is done through detailed configuration files providing the user with a widely applicable framework for designing, choosing and adjusting the emission modelling experiment without modifying the HERMESv3 source code. The generated emission fields have been successfully tested in different atmospheric chemistry models (i.e. CMAQ, WRF-Chem and NMMB-MONARCH) at multiple spatial and temporal resolutions. In a companion article (Part 2; Guevara et al., 2019) we describe the bottom_up module, which estimates emissions at the source level (e.g. road link) combining state-of-the-art bottom–up methods with local activity and emission factors.
Highlights
Emission inputs of trace gases and aerosols play a key role in the performance of atmospheric chemistry models for air quality research and forecasting applications
It is important to note that the original gridded emission inventories are not stored inside the HERMESv3_GR database and that users need to download them from the corresponding data provider’s platform (e.g. EDGAR inventories are obtained from http://edgar.jrc.ec. europa.eu/, last access: May 2019). This decision is based on the fact that (i) some of the emission inventories that HERMESv3_GR can process cannot be passed on to third parties without the data provider’s consent and (ii) we believe it is good practice that users access the original files through the official source of information, so that the data providers can monitor the usage of their datasets
Besides the two aforementioned implementations, HERMESv3_GR has been used to perform simulations with the CALIOPE air quality forecasting system, which is based on CMAQ and in several tests using the WRF-Chem model
Summary
Emission inputs of trace gases and aerosols play a key role in the performance of atmospheric chemistry models for air quality research and forecasting applications. M. Guevara et al.: HERMESv3 multi-scale emission modelling framework – Part 1 tally harmonized inventory is crucial from a science perspective, having the capacity to combine them and apply adjustment factors in a flexible and transparent way can be of importance for air quality modelling studies. Working at the urban scale requires dedicated local emission inventories combining activity data collected at a fine spatial scale (e.g. point source, road links, household) with bottom–up detailed emission algorithms that represent the different factors influencing the emission processes (e.g. vehicle speed, outdoor temperature). We conceive HERMESv3 as a flexible multi-scale modelling framework that allows integrating and combining different emissions estimation approaches, so that the emission related outputs can be as detailed and specific as possible for the different domains (global, regional or local) involved in the corresponding application.
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