Preprints
https://doi.org/10.5194/essd-2021-221
https://doi.org/10.5194/essd-2021-221
21 Jul 2021
 | 21 Jul 2021
Status: this discussion paper is a preprint. It has been under review for the journal Earth System Science Data (ESSD). The manuscript was not accepted for further review after discussion.

Global soil NO emissions for Atmospheric Chemical Transport Modelling: CAMS-GLOB-SOIL v2.2

David Simpson and Sabine Darras

Abstract. We present a dataset of global soil NO emissions comprising gridded monthly data and the corresponding 3-hourly weight factors, suitable for atmospheric chemistry modelling. Data are provided globally at 0.5° × 0.5° degrees horizontal resolution, and with monthly time resolution over the period 2000–2018. Emissions are provided as total values and also with separate data for soil NO emissions from background biome values, and those induced by fertilizers/manure, pulsing effects, and atmospheric deposition, so that users can include, exclude or modify each component if wanted.

This paper presents the emission algorithms and their data-sources, some comments on the availability of soil NO emissions in other inventories (and how to avoid double-counting), and finally some preliminary modelling results and comparison with observed data.

This dataset was constructed as part of the Copernicus Atmosphere Monitoring Service (CAMS), with the dataset referred to as CAMS-GLOB-SOIL v2.2. These data are available through the Copernicus Atmosphere Data Store (ADS) system, (https://doi.org/10.24380/kz2r-fe18, last access June 2021, Simpson 2021a) or through the Emissions of atmospheric Compounds and Compilation of Ancillary Data (ECCAD) system (https://eccad.aeris-data.fr/, last access June 2021). For review purposes, ECCAD has set up an anonymous repository where a subset of the CAMS-GLOB-SOIL v2.2 data can be accessed directly (https://eccad.aeris-data.fr/essd-surf-emis-cams-soil/, Last access July 2021, Simpson 2021b).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
David Simpson and Sabine Darras

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-221', Anonymous Referee #1, 20 Aug 2021
  • RC2: 'Comment on essd-2021-221', Anonymous Referee #2, 23 Aug 2021
  • RC3: 'Comment on essd-2021-221', Anonymous Referee #3, 05 Sep 2021
  • RC4: 'Comment on essd-2021-221', Anonymous Referee #4, 12 Oct 2021

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-221', Anonymous Referee #1, 20 Aug 2021
  • RC2: 'Comment on essd-2021-221', Anonymous Referee #2, 23 Aug 2021
  • RC3: 'Comment on essd-2021-221', Anonymous Referee #3, 05 Sep 2021
  • RC4: 'Comment on essd-2021-221', Anonymous Referee #4, 12 Oct 2021
David Simpson and Sabine Darras

Data sets

CAMS-GLOB-SOIL v2.2 David Simpson and Sabine Darras https://doi.org/10.24380/kz2r-fe18

CAMS-GLOB-SOIL v2.2 subset for review David Simpson and Sabine Darras https://eccad.aeris-data.fr/essd-surf-emis-cams-soil/

David Simpson and Sabine Darras

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Short summary
We present a dataset of global soil NO emissions suitable for atmospheric chemistry modelling. Data are provided globally at 0.5° × 0.5° degrees horizontal resolution, and with monthly time resolution over the period 2000–2018. This paper presents the emission algorithms and their data-sources, some comments on the availability of soil NO emissions in other inventories (and how to avoid double-counting), and finally some preliminary modelling results and comparison with observed data.
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