Gridded atmospheric emission inventories are key inputs to support air quality modelling efforts. In this work we present the new downscaling module of the High-Elective Resolution Modelling Emission System version Delta (HERMES_Δ), which performs a spatial mapping of the Spanish official emission inventory making use of closely related spatial proxies and activity data collected at a fine spatial scale (e.g., road links with traffic flow per vehicle type), as well as the industrial emissions databases reported by the Large Point Sources (LPS) databases and the State Pollutant Release and Transfer Register (PRTR-Spain). HERMES_Δ will be used for national air quality modelling efforts within the Spanish Meteorological Agency, providing for the first time high resolution gridded official emissions for the Peninsular Spain and the Canary Islands and allowing flexible definition of the working domain (i.e., up to 1 km × 1 km). The resulting gridded emissions are compared against state-of-the-art European inventories, including the European Monitoring and Evaluation Programme (EMEP) gridded inventory and the Copernicus Atmosphere Monitoring Service regional inventory (CAMS-REG), which also use as a starting point the officially reported emission data from national inventories. Overall, significant inconsistencies are identified, underscoring the impact of considering highly localised data in contrast to other surrogate statistics and proxies. Through this work, we aim to highlight the potential of employing sector-specific spatial proxies to enhance the distribution of emissions spatially and thus the accuracy of high-resolution air quality modelling results.

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A Spatial Comparative Analysis Between Three Gridded Atmospheric Emission Inventories for Spain

  • Paula Camps,
  • Marc Guevara,
  • Carles Tena,
  • Angie Albarracin,
  • An-Chi Ho,
  • Albert Aparicio,
  • Paula Castesana,
  • Alejandro Garcia,
  • Miriam Olid,
  • Oriol Jorba,
  • Carlos Pérez García-Pando

摘要

Gridded atmospheric emission inventories are key inputs to support air quality modelling efforts. In this work we present the new downscaling module of the High-Elective Resolution Modelling Emission System version Delta (HERMES_Δ), which performs a spatial mapping of the Spanish official emission inventory making use of closely related spatial proxies and activity data collected at a fine spatial scale (e.g., road links with traffic flow per vehicle type), as well as the industrial emissions databases reported by the Large Point Sources (LPS) databases and the State Pollutant Release and Transfer Register (PRTR-Spain). HERMES_Δ will be used for national air quality modelling efforts within the Spanish Meteorological Agency, providing for the first time high resolution gridded official emissions for the Peninsular Spain and the Canary Islands and allowing flexible definition of the working domain (i.e., up to 1 km × 1 km). The resulting gridded emissions are compared against state-of-the-art European inventories, including the European Monitoring and Evaluation Programme (EMEP) gridded inventory and the Copernicus Atmosphere Monitoring Service regional inventory (CAMS-REG), which also use as a starting point the officially reported emission data from national inventories. Overall, significant inconsistencies are identified, underscoring the impact of considering highly localised data in contrast to other surrogate statistics and proxies. Through this work, we aim to highlight the potential of employing sector-specific spatial proxies to enhance the distribution of emissions spatially and thus the accuracy of high-resolution air quality modelling results.