Marine cloud brightening climate intervention is simulated by CESM2 under a susceptibility-based strategy under SSP2-4.5

The efficiency of marine cloud brightening in cooling Earth's surface temperature is investigated by using a medium ensemble of simulations with the Community Earth System Model version 2 (CESM2). Various cloud seeding schemes based on susceptibility are examined to determine what area extent will be required to induce 1.5 degrees C cooling under SSP2-4.5. The results indicate that cloud seeding over 5% of the ocean area is capable of achieving this goal. Under this seeding scheme, cloud seeding is mainly deployed over lower latitudes where strong surface temperature and precipitation responses are induced. The simulations also reveal that the 5% cloud seeding scheme reduces precipitation over the ocean, but enhances precipitation over land, with an overall reduction in global precipitation.

Previous modeling studies indicate that even though marine cloud brightening under a susceptibility-based strategy is effective in reducing the global average surface temperature, it can induce several highly undesirable outcomes. Under such marine cloud brightening intervention, a La Nina-like sea-surface temperature response is triggered with cooling mostly confined within lower latitudes. It is likely to pose a threat to disrupt the El Nino Southern Oscillation.

A different cloud seeding strategy is explored to alleviate such undesirable outcomes. It is hypothesized that deployment of marine cloud brightening over broader regions with low susceptibility to cloud seeding might induce cooling more evenly distributed over the globe, and hence exert much weaker regional forcing on the climate system. This hypothesis is tested with the Community Earth System Model, version 2 (CESM2). Our simulations with CESM2 reveal that this new strategy indeed alleviates the highly undesirable outcomes previously found.

The CESM2 SSP2-4.5 ensemble simulations can be accessed at https://doi.org/10.26024/j23t-pc83.

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Questions? Email Resource Support Contact:

  • Joseph Gum
    jgum@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  2015-01-01T00:00:00Z
    End:  2070-01-01T00:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 2015-01-01T00:00:00Z
Temporal Range End 2070-01-01T00:00:00Z
Temporal Resolution N/A
Bounding Box North Lat 90
Bounding Box South Lat -90
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution 1.25 degree
Related Links N/A
Additional Information N/A
Resource Format NetCDF (Binary)
Standardized Resource Format NetCDF
Asset Size 0.00 MB
Legal Constraints

Creative Commons Attribution 4.0 International License


Access Constraints None
Software Implementation Language N/A

Resource Support Name Joseph Gum
Resource Support Email jgum@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Chen, Chih-Chieh
Richter, Jadwiga H.
Lee, Walker R.
MacMartin, Douglas G.
Kravitz, Ben
Tye, Mari
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2024-02-13
Digital Object Identifier (DOI) https://doi.org/10.5065/MRH9-B809
Alternate Identifier d314006
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress completed
Metadata Date 2024-10-23T14:03:12Z
Metadata Record Identifier edu.ucar.rda::d314006
Metadata Language eng; USA
Suggested Citation Chen, Chih-Chieh, Richter, Jadwiga H., Lee, Walker R., MacMartin, Douglas G., Kravitz, Ben, Tye, Mari. (2024). Marine cloud brightening climate intervention is simulated by CESM2 under a susceptibility-based strategy under SSP2-4.5. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/MRH9-B809. Accessed 24 November 2024.

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