The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies
<p>This study, performed under the umbrella of the Task Force on Hemispheric Transport of Air Pollution (TF-HTAP), responds to the global and regional atmospheric modelling community's need of a mosaic emission inventory of air pollutants that conforms to specific requirements: global cov...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-06-01
|
Series: | Earth System Science Data |
Online Access: | https://essd.copernicus.org/articles/15/2667/2023/essd-15-2667-2023.pdf |
Summary: | <p>This study, performed under the umbrella of the Task
Force on Hemispheric Transport of Air Pollution (TF-HTAP), responds to the
global and regional atmospheric modelling community's need of a
mosaic emission inventory of air pollutants that conforms to specific
requirements: global coverage, long time series, spatially distributed
emissions with high time resolution, and a high sectoral resolution. The
mosaic approach of integrating official regional emission inventories based
on locally reported data, with a global inventory based on a globally
consistent methodology, allows modellers to perform simulations of high
scientific quality while also ensuring that the results remain relevant to
policymakers.</p>
<p><span id="page2668"/>HTAP_v3, an ad hoc global mosaic of anthropogenic
inventories, has been developed by integrating official inventories over
specific areas (North America, Europe, Asia including Japan and South Korea) with
the independent Emissions Database for Global Atmospheric Research (EDGAR)
inventory for the remaining world regions. The results are spatially and
temporally distributed emissions of SO<span class="inline-formula"><sub>2</sub></span>, NO<span class="inline-formula"><sub><i>x</i></sub></span>, CO, non-methane volatile organic compounds (NMVOCs), NH<span class="inline-formula"><sub>3</sub></span>,
PM<span class="inline-formula"><sub>10</sub></span>, PM<span class="inline-formula"><sub>2.5</sub></span>, black carbon (BC), and organic carbon (OC), with a
spatial resolution of 0.1<span class="inline-formula"><sup>∘</sup></span> <span class="inline-formula">×</span> 0.1<span class="inline-formula"><sup>∘</sup></span> and time intervals of months and
years, covering the period 2000–2018 (<a href="https://doi.org/10.5281/zenodo.7516361">https://doi.org/10.5281/zenodo.7516361</a>, Crippa, 2023,
<span class="uri">https://edgar.jrc.ec.europa.eu/dataset_htap_v3</span>, last access: June 2023). The emissions are further disaggregated into 16
anthropogenic emitting sectors. This paper describes the methodology applied
to develop such an emission mosaic, reports on source allocation,
differences among existing inventories, and best practices for the mosaic
compilation. One of the key strengths of the HTAP_v3 emission
mosaic is its temporal coverage, enabling the analysis of emission trends
over the past 2 decades. The development of a global emission mosaic over
such long time series represents a unique product for global air quality
modelling and for better-informed policymaking, reflecting the community
effort expended by the TF-HTAP to disentangle the complexity of
transboundary transport of air pollution.</p> |
---|---|
ISSN: | 1866-3508 1866-3516 |