Treffer: HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – part 2: the bottom–up module

Title:
HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – part 2: the bottom–up module
Contributors:
Barcelona Supercomputing Center
Publisher Information:
Copernicus Publications
Publication Year:
2020
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
21 p.; application/pdf
Language:
English
Relation:
https://www.geosci-model-dev.net/13/873/2020/#section12; info:eu-repo/grantAgreement/MICINN/1PE/CGL2016-75725-R; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-099894-B-I00/ES/QUIMICA DEL CARBON MARRON: MODELIZACION DE LA ABSORCION DE AMONIACO POR LOS AEROSOLES ORGANICOS SECUNDARIOS Y SU EFECTO EN EL FORZAMIENTO RADIATIVO/; info:eu-repo/grantAgreement/MINECO//RYC-2015-18690/ES/RYC-2015-18690/; https://doi.org/10.5281/zenodo.3521897; http://hdl.handle.net/2117/186724
DOI:
10.5194/gmd-13-873-2020
Rights:
Attribution 3.0 Spain ; Attribution 4.0 International (CC BY 4.0) ; http://creativecommons.org/licenses/by/3.0/es/ ; https://creativecommons.org/licenses/by/4.0/ ; Open Access
Accession Number:
edsbas.BC11F446
Database:
BASE

Weitere Informationen

We describe the bottom–up module of the High-Elective Resolution Modelling Emission System version 3 (HERMESv3), a Python-based and multi-scale modelling tool intended for the processing and computation of atmospheric emissions for air quality modelling. HERMESv3 is composed of two separate modules: the global_regional module and the bottom_up module. In a companion paper (Part 1, Guevara et al., 2019a) we presented the global_regional module. The bottom_up module described in this contribution is an emission model that estimates anthropogenic emissions at high spatial- (e.g. road link level,) and temporal- (hourly) resolution using state-of-the-art calculation methods that combine local activity and emission factors along with meteorological data. The model computes bottom–up emissions from point sources, road transport, residential and commercial combustion, other mobile sources, and agricultural activities. The computed pollutants include the main criteria pollutants (i.e. NOx, CO, NMVOCs (non-methane volatile organic compounds), SOx, NH3, PM10 and PM2.5) and greenhouse gases (i.e. CO2 and CH4, only related to combustion processes). Specific emission estimation methodologies are provided for each source and are mostly based on (but not limited to) the calculation methodologies reported by the European EMEP/EEA air pollutant emission inventory guidebook. Meteorologically dependent functions are also included to take into account the dynamical component of the emission processes. The model also provides several functionalities for automatically manipulating and performing spatial operations on georeferenced objects (shapefiles and raster files). The model is designed so that it can be applicable to any European country or region where the required input data are available. As in the case of the global_regional module, emissions can be estimated on several user-defined grids, mapped to multiple chemical mechanisms and adapted to the input requirements of different atmospheric chemistry models (CMAQ, WRF-Chem and ...