Data from: Future Climate-Driven Fires May Boost Ocean Productivity in the Fe-limited North Atlantic

Modeled soluble iron deposition fields from the study "Future Climate-Driven Fires May Boost Ocean Productivity in the Fe-limited North Atlantic" are provided here.

A separate file is available for each simulation, containing seasonal mean soluble iron (SFe) deposition fields for each of the models EC-Earth3-Iron and CAM6-MIMI. The reported variables include:

FEDUSOL: Mean seasonal deposition of soluble iron from dust sources

FEBBSOL: Mean seasonal deposition of soluble iron from biomass burning sources

FEANSOL: Mean seasonal deposition of soluble iron from anthropogenic fossil fuel combustion sources

All fields are reported in kg m⁻² s⁻¹

List of simulations

A total of 11 simulations per model were performed, as described in the paper:

2010s conditions with GFED4s fires

2010s conditions with no fires

2090s CMIP6 SSP126 conditions

2090s CMIP6 SSP126 conditions with no fires

2090s CMIP6 SSP126 conditions with updated fires accounting for climate-driven fires

2090s CMIP6 SSP370 conditions

2090s CMIP6 SSP370 conditions with no fires

2090s CMIP6 SSP370 conditions with updated fires accounting for climate-driven fires

2090s CMIP6 SSP585 conditions

2090s CMIP6 SSP585 conditions with no fires

2090s CMIP6 SSP585 conditions with updated fires accounting for climate-driven fires

Acknowledgments

This study was funded by the European Research Council under the Horizon 2020 research and innovation programme through the ERC Consolidator Grant FRAGMENT (grant agreement no. 773051), the AXA Research Fund through the AXA Chair on Sand and Dust Storms at BSC, the Spanish Ministerio de Economía y Competitividad through the BIOTA project PID2022-139362OB-I00 supported by MICIU/AEI/10.13039/501100011033 as well as by the European Regional Development Fund (ERDF) under the European Union, ESA through the DOMOS project (ESA AO/1-10546/20/I-NB) and the Department of Research and Universities of the Government of Catalonia through the Atmospheric Composition Research Group (code 2021 SGR 01550). 

E.B.M additionally acknowledges support from the Spanish Ministry of Science and Innovation\\ (MCIN/AEI/10.13039/501100011033) through the “Centro de Excelencia Severo Ochoa” Program (CEX2021- 001148-S).

D.S.H gratefully acknowledges support from NASA (grant 80NSSC24K0446).

S.M. was funded through the REINFORCE research project implemented in the framework of H.F.R.I call “Basic research Financing (Horizontal support of all Sciences)” under the National Recovery and Resilience Plan “Greece 2.0” funded by the European Union – NextGenerationEU (H.F.R.I. Project Number: 15155).

We also acknowledge the resources obtained on the Marenostrum4 supercomputer at BSC, granted through the RES project AECT-2023-1-0008 and AECT-2023-3-0026, along with the technical support provided by BSC and the Computational Earth Sciences team of the BSC Earth Sciences Department. We would like to acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory, sponsored by the National Science Foundation, under project ID UNCS0045.