SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection

We document the development and simulation characteristics of the next generation modeling system for seasonal to decadal prediction and projection at the Geophysical Fluid Dynamics Laboratory (GFDL). SPEAR (Seamless System for Prediction and EArth System Research) is built from component models recently developed at GFDL-the AM4 atmosphere model, MOM6 ocean code, LM4 land model, and SIS2 sea ice model. The SPEAR models are specifically designed with attributes needed for a prediction model for seasonal to decadal time scales, including the ability to run large ensembles of simulations with available computational resources. For computational speed SPEAR uses a coarse ocean resolution of approximately 1.0 degrees (with tropical refinement). SPEAR can use differing atmospheric horizontal resolutions ranging from 1 degrees to 0.25 degrees. The higher atmospheric resolution facilitates improved simulation of regional climate and extremes. SPEAR is built from the same components as the GFDL CM4 and ESM4 models but with design choices geared toward seasonal to multidecadal physical climate prediction and projection. We document simulation characteristics for the time mean climate, aspects of internal variability, and the response to both idealized and realistic radiative forcing change. We describe in greater detail one focus of the model development process that was motivated by the importance of the Southern Ocean to the global climate system. We present sensitivity tests that document the influence of the Antarctic surface heat budget on Southern Ocean ventilation and deep global ocean circulation. These findings were also useful in the development processes for the GFDL CM4 and ESM4 models.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Dataset #1 : Sea Ice Index, Version 3

Related Dataset #2 : Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, Version 1

Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Delworth, T. L.
Cooke, William F.
Adcroft, A.
Bushuk, Mitchell
Chen, Jan-Huey
Dunne, K. A.
Ginoux, P.
Gudgel, R.
Hallberg, R. W.
Harris, L.
Harrison, M. J.
Johnson, N.
Kapnick, S. B.
LIN, S.
Lu, F.
Malyshev, S.
Milly, P. C.
Murakami, Hiroyuki
Naik, V.
Pascale, S.
Paynter, D.
Rosati, Anthony
Schwarzkopf, M.
Shevliakova, E.
Underwood, S.
Wittenberg, A. T.
Xiang, B.
Yang, Xiaosong
Zeng, F.
Zhang, H.
Yang, Liping
Zhao, M.
Publisher UCAR/NCAR - Library
Publication Date 2020-03-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2025-07-11T19:21:11.166369
Metadata Record Identifier edu.ucar.opensky::articles:23290
Metadata Language eng; USA
Suggested Citation Delworth, T. L., Cooke, William F., Adcroft, A., Bushuk, Mitchell, Chen, Jan-Huey, Dunne, K. A., Ginoux, P., Gudgel, R., Hallberg, R. W., Harris, L., Harrison, M. J., Johnson, N., Kapnick, S. B., LIN, S., Lu, F., Malyshev, S., Milly, P. C., Murakami, Hiroyuki, Naik, V., Pascale, S., Paynter, D., Rosati, Anthony, Schwarzkopf, M., Shevliakova, E., Underwood, S., Wittenberg, A. T., Xiang, B., Yang, Xiaosong, Zeng, F., Zhang, H., Yang, Liping, Zhao, M.. (2020). SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d73b63cz. Accessed 11 August 2025.

Harvest Source